eccmgv AND SEASGNAL' VARIATIGNQF THE; , PSAMMONFLQRA OF A SANDYBEACHJTRANSECT‘;g[7._':;11:'_}_4.fk-‘Zi-ngf»._ Thesis for fi’ha Dagéeeof Ph D 7: > ‘ MECHEGAN 5mm UNEVER-SITY ’ ' Wiiiiam Davies I ‘ . . ' "956 r “E*,. ;3’~' ~’* “.ml? m lee, LIBE'; fie Y g Michigan State University This is to certifg that the thesis entitled ECULUGY AND SEASONAL VARIATION OF THE PSAMMUNFLURA OF A SANDY BEACH TRANSECT presented bg William Davies has been accepted towards fulfillment of the requirements for M degree in M Major professor Date W 0-169 n . 5 i 1 .3 I. ABSTRACT ECOLOGY AND SEASONAL VARIATION OF THE PSAMMDNFLDRA OF A SANDY BEACH TRANSECT by Nilliam Davies The investigation involved a 12-month study of the euflogy of the algae of the psammolittoral zone of Duck Lake, a hardwater lake in Oakland County, Michigan. The study was undertaken to ascertain the practicability of‘ adaptation of‘ techniques of. soil science and limnology to psmmmlittoral zone investigation, to establish evidence of zonation of‘ psammon algal communities and evidence of‘ sea- smmlcmantitative and qualitative variation in these algal commmities within a sandy beach, to attempt correlation of I beach algal zonation and seasonal variation with physico- chmfital conditions prevailing in the habitat, and to com- pare the algal Flora of‘ the psammolittoral zone with that of the adjacent lake. The transect method of‘ community investigation was utilized in study of the hygro~ and eupsammon portions of the psammolittoral zone selected. Each collection date, qualitative and quantitative phytoplankton samples and sur- faceumter samples were taken offshore From the transect and interstitial water withdrawn From the beach transect hygropsammon zone. Determinations made upon lake and I .".'o I: g: l . an”. .1 - 1.. -- a... -a ‘- .- U.- ‘ n.-- inn:-.0u-... -.- ‘ — I a - :-.. I...- - "I'D-lg - n.- l-cnnno ‘ .- --I '-.-0 o .n-.--. .. -- .~ ' . . I 1.... - -.. - l - " IOU—l..- _ .- .- | .— :IIIII- -. - ~ g -.| ‘. .- Q .- o s -‘ 0-I. ..q . I — 1'... Q. - ‘ ‘.' I ._- -- - " '0-.- I- 'I I. . l . .- "' ' ..- I. : -=.- '- "-.' - ---II .- n . I - -_‘ ‘ a I.‘I- l . _' . ‘ I I .~. : \- -“|\ -- I. ‘. ‘ . -- .- u.‘ "~ -~ '. - ‘I. . . -.--“ ' s. . u.- — I u ‘ l. :\ ‘n‘ "I‘ ‘ ‘-. \. ‘ -5... n u,‘ .. g u\\: _n.“. I. _ ‘ . ‘u “‘ - . - ‘s .- .- g ‘n.-. .. -‘ ‘ n‘ . i.' ' ._. .“ ‘n l ' l ‘\ ‘-.u \ ‘§- ‘ ~‘c . A. \ u g . \ l ““- ‘ U a \ ‘ ,.‘, . ..‘ .. ‘ .‘- ‘I | n ‘ . .‘. ‘ 5" Q ‘ - .‘ I V ~‘ R.‘ I. ‘ .\~' t . \ u ~“ \§\_|‘ . ‘\‘ “‘ ‘ -' \‘~ -‘h: \‘. ‘1 ‘\‘ ‘\ ‘a \,.a 2. . h.‘\. ‘\“ s. \ ‘A ‘\ ~‘ “‘ \s ‘b v“ ‘\‘\~. .. “ ‘ \‘\ ‘~ \ . ' “ x M . \ ‘\ ‘v-s ‘ L ‘A William Davies orthophosphate, total iron, silica, and sulfates. Each collection, at each 25 cm. interval along the transect, determinations were made of’ temperature, pH, alkalinity, substrate percentage water content, "black layer" position, and total organic content. Qualitative and quantitative sand samples were also takm1monthly at each 25 cm. interval. Only algae present h1samples From the 25, 100, 200, and 300 cm. intervals oF theimansect were included in the study. Also investigated unefluctuation of substrate phreatic levels and extent 0F 11mm penetration into the substrate. At each 25 cm. in- temml, determinations were made oF substrate harmonic mean grafl1size diameter, grain size grade distribution, eFFec- tive grain size, grain size uniFormity coefficient, porosity, and unit weight. Values For substrate water content, harmonic mean mahwsiza, eFFective grain size, grain size uniformity coeflfitient, porosity, temperature, pH, and alkalinity umrefpund Functions 0F distance From waterline. In interstitial water, mean values For total and bhmrmrmte alkalinity, calcium and carbonate hardness, fifialtmrdness, dissolved £02, nitrate and nitrite nitrogen, irmn sulfates, silicates, and total and volatile solids wemaappreciably higher than those in the adjacent lake. 3 il\ g unpbn u - iv: :Ittetns . -- ~..- ~ . .n ~._ .._~ -. . t... 1.”..- a,,_,,_ . . William Davies Fates, orthophosphates, iron, and nitrate and nitrite pmliggen were observed in interstitial and lake water. ield experimentation suggested chemical analyses of‘ inter- ‘ stitial water were not reFlective oF the environment con- ditions experienced by psammon algae. Qualitative phytoplankton collections were dominated by members oF the Chrysophyta in all months but January and June. Least phytoplankton species diversity was exhibited during the December-March period 0F lake ice cover. Quanti- tatively the phytoplankton was dominated by chrysophytes and cyanophytes in all months but June. A clear seasonal progression in quantitative dominance oF the phytoplankton appeared during the study. The phytoplankton population Fluctuation pattern was bimodal during the 12-month study, mhflma occurring in winter and mid—summer, and maxima occurring in spring and early Fall. Relations between physicochemical Factors and qualitative and quantitative Phytoplankton variation were discussed. Qualitatively, the psammon algal Flora was essen- Halhrone comprised 0F members oF the Hormogonales and Females. Each oF the Four transect intervals were quali- taflweh/dominated throughout the 12-month period by File. mentous blue-green algae and diatoms. The psammon Flora Wasqumfifltatively dominated throughout the year by File. mentous blue-green algae and diatoms. Fluctuation in total number of‘ algal individuals per cc. 0F beach Sand William Davies (lump the 12-month study was essentially bimodal in char- ".guer at all beach intervals. Total number of algal in- dividuals at all beach interVals reached a primary maximum during the December-March period of Frozen substrate and a lesser maximum during the May—July period. Algal population minima in the psammolittoral zone occurred in the March— April period of thaw and fluctuating lake levels and again in the late summer. A temporal inverse relationship was evident in quantitative algal abundance in the lake and at each beach transect interval. Total number of algal in- dividuals per cc. of sand ranged from 114,523 to 18.3 times the density of phytoplankton per cc. of lake water on the same dates. Indices of diversity were calculated for the algal community at each beach interval each month of the 12—month sampling period in order to identify evidence of physico- chemical factor relationships to the algal community. Direct relationship was identified between algal community indices of diversity at each transect interval and water _ content of the substrate. Inverse relationships were ap- parent between algal community indices of diversity and both harmonic mean grain size diameters and grain siZe uniformity coefficients. Decreasing magnitudes of indices Of diversity with increasing distance from shoreline in- dicated an increasingly severe environment shoreward from Waterline in the psammolittoral zone. aa:'.' :: 0-9 William Davies Community coefficients were calculated for the communities within the lake and each beach transect Val each month. A fundamental difference in community u structure was indicated between lake and beach. Many of the moflzqualitatively and quantitatively abundant algal species inthebeadihave been characterized in the literature as soil algae and a relatively large number were char- acteristic of arid soil environments. No ecotone could be identified in the beach as a Mmlecm at any interval. It was concluded there was no trmmitfln1in evidence from an aquatic to a terrestrial en— virmmmnt along the beach transect. Rather, it was con- chumd that the beach algal community exhibited a qualita- thm amiquantitative attenuation shoreward from waterline hIresponse to an increasingly severe environment. - Halt VNM - ‘fi‘.: . u. , $1..“ .._‘~ ECOLOGY AND SEASONAL VARIATION OF THE PSAMMONFLORA OF A SANDY BEACH TRANSECT By Hmrdd william Davies In A THESIS Submitted to Michigan State University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Department of Botany and Plant Pathology 1966 CDCopyright by Harold William Davies Jr. ELM In... "" '=I 22.."1 1’; are a: fife-1:? 51 ACKNOWLEDGMENTS The author wishes to thank Dr. G.M. Prescott of the Michigan State University Botany Department for his assistance, counsel, and patience. Acknowledgment and gratitude are extended to Drs. J.E. Cantlon and M.B. Drew of the Department of Botany and Dr. 8.8. Ellis of the Department of Soil Science for their helpful advice and provision of research facilities as well as to the National Science Foundation for its financial support. Greatly appreciated also is the assistance rendered by Drs. Ruth Patrick and c.w. Reimer of the Department of Limnology, Philadelphia Academy of Natural Science, in diatom identi- fication and in the provision of research facilities and financial support during the period of study at the Academy. The author wishes also to express gratitude to the personnel of the phycology laboratory at Michigan State, Particularly Rosa Bicudo, R. Kullberg, and D.C. Jackson, for their assistance. And special acknowledgment is due to Norma Davies for her encouragement and her help in thesis Preparation . ii' TABLE OF CONTENTS ACKNOWLEDGMENTS . . . . . . . . . . . . . LIST OF TABLES C . . O O l O O O C D C 0 LIST OF FIGURES I C O O O O O O I O C O 0 Chapter IV. C n INTRODUCTION . . . . . . . . . . Results of Preliminary Studies Statement of Problem . . . . . LITERATURE RE\IIEUJ O O I U U I I 0 DESCRIPTION OF THE STUDY AREA . . General Description of the Area Description of Beach Transact . METHODS AND MATERIALS . . . . . . Granulometric Description of the Beach Phreatic Levels . . . . . . Physical Data . . . Chemical Data . . . Biological Data . . RESULTS 0 o o o o o v o o o e o o General Information . . O Granulometric Characteristics of the Transact Substrate . . . . . Beach and Lake Physical Data . Beach and Lake Chemical Data . Biological Data, Qualitative Lake Samples Biological Data, Quantitative Lake Samples . . . . . 0 Biological Data, Qualitative Psammon Samples, 300 cm. Interval . . . . . . Biological Data, Quantitative Psammon Samples, 300 cm. Interval . . . . . . iii O Page a . mjwinl. a: Biological Data, Qualitative Psammon Samples, 200 cm. Interval . . . . . . Biological Data, Quantitative Psammon Samples, 200 cm. Interval . . . . . . Biological Data, Qualitative Psammon Samples, 100 cm. Interval . . . . . . Biological Data, Quantitative Psammon Samples, 100 cm. Interval . . . . . . Biological Data, Qualitative Psammon Samples, 25 cm. Interval . . . . . . Biological Data, Quantitative Psammon Samples, 25 cm. Interval . . . . Biological Data, Recapitulation of Results of Monthly Qualitative and Quantitative Sampling for 12-month Study periOd . e o o o o o o I o o 0 Biological Data, Indices of Diversity of Lake and Beach Transact Intervals Biological Data, Community Coefficients VIQDIscussroN............... Terminology Relative to the Psammolittoral . Porosity and Grade Temperature . . . . Light 0 O O O I O 0 Black Layer . . . . Organic Matter . . Mater Content . . Chemistry of Interstitia n a water: pH . . . . Chemistry of Lake and Interstitial Mater: Dissolved Gases and Dissolved SOlidS O O O O O O O O O O O 0 Lake phytoplankton o o o o o Psammon Algae: Qualitative Aspects . . Psammon Algae: Quantitative Aspects . Indices of Diversity of Lake and Beach Transact Intervals . . . . . . . . . Community Coefficients . . . . . . . . C O I U I O I O O U I D O I I O O O I I I O O O Q 0 O 7:00.000. F‘s-coco. (l) 0-. O O O O I I i; VII! SUMMARY 0 o u o o o e e o e o e I o o o 0 LITERATURE CITED 0 n e o o o o o o a o o e e a o PLATES I O Q 0 O I I 0 o O o O U I o 0 e I o 0 0 iv Page 171 184 199 212 229 244 315 325 345 345 357 364 370 374 376 381 406 412 428 440 452 454 459 471 489 LIST OF TABLES Table 1. Major Morphometric Characters of Duck Lake and REaCheS A and A1 0 o I o o o e o o o I 2. Daily Precipitation Data in Inches for Months October, 1963, Through October, 1964, Highland, Michigan, Station of the Detroit Metropolitan Area Raingage Network 3. Daily Precipitation Data in Inches for Months October, 1963, Through October, 1964, White Lake, Michigan, Station of the Detroit Metropolitan Area Raingage Network 4. Percentage Composition 150 gm. Incinerated Beach Transact Sand Samples by Dimension Based on U.S. Sieve Series for Intervals ‘100 to +300 CIT]. e e e o o o o e o I o o o 5. Granulometric Data for Beach Transect Intervals ‘100 to +300 Cr”. 0 o o o v o o . 6. Monghly Lake and Transect Temperatures in C 7. Percentage Water Cemposition of Monthly Sand Samples at Each 25 cm. Interval on Wet Gross Weight Basis . . . . . . . . . . . . 3. Percentage Water Content of Monthly Sand Samples at Each 25 cm. Interval on Net Weight Basis Expressed as Per Cent of Saturated Capacity . . . . . . . . . . . . 9. Percentage Volatile Matter on Dry Gross Weight Basis at Each Transect Interval monthly 0 o o O O I o o o o O O o o o o 0 10. Monthly Determinations of pH of Lake Water, Interstitial Water, and of the Substrate at Each 25 cm. Transect Interval . . . . . Page 19 27 28 SO 51 65 58 72 'h .51 . 1-3.4 I} '4 raga—fie": . 20. 21. 22. 23. 24. 25. Bicarbonate Alkalinity as ppm. CaCDg per Month Each 25 cm. Interval Along Transect Lake Water Chemical Data for Samples November 7 to October 11 . . . . . . . . . Hygropsammon Zone Interstitial Water Chemistry . . . . . . . . . . . . . . . . Percentage Calcium and Carbonate Hardness of Total Hardness for Lake and Interstitial' water I O C O I O O O O O O O O O I O O I Lake Phytoplankton Qualitative and Quantitative Data for 12—month Sampling period 0 O I O O O O O C O O O O C O C O 0 Summary of Lake Phytoplankton Qualitative Sampling for 12-month Sampling Period . . Quantitative Lake Phytoplankton Samples Species Percentage Composition . . . . . . Order and Division Percentage Composition of Monthly Lake Quantitative Samples . . . . Qualitative and Quantitative Data for Psammonflora Algae Present at +300 cm. Interval Monthly for 12-month Sampling Period 0 Q 0 O 0 O O O 0 O O O I O O O O I Summary of 300 cm. Interval Qualitative Sampling for 12-month Sampling Period . . Quantitative Sample Percentage Composition Monthly, 300 cm. Interval . . . . . . . . Order and Division Percentage Composition of Monthly Quantitative Samples, 300 cm. Interval . . . . . . . . . . . . . . . . . Qualitative and Quantitative Data for Psammonflora Algae Present at +200 cm. Interval Monthly for 12-month Sampling Pariod.........-o--o.-.. Summary of 200 cm. Interval Qualitative Sampling for 12-month Sampling Period . . Quantitative Sample Percentage Composition Monthly, ZOO cm. Interval . . . . . . . vi Page 7? 79 81 93 111 123 135 144 166 172 1B? 16-— Order and Division Percentage Composition of Monthly Quantitative Samples, 200 cm. IntervaleoeI-eoeooeeoeoo Qualitative and Quantitative Data for Psammonflora Algae Present at +100 cm. Interval Monthly for 12-month Sampling period 0 O O O C C O O O O O O O O O I 0 Summary of 100 cm. Interval Qualitative Sampling for 12-month Sampling Period . Quantitative Sample Percentage Composition Monthly, 100 cm. Interval . . . . . . . Order and Division Percentage Composition of Monthly Quantitative Samples, 100 cm. Interval O C I O O O O O O O O O I O O O Qualitative and Quantitative Data for Psammonflora Algae Present at +25 cm. Interval Monthly for 12-month Sampling period . O O O C D D O O I O O O O O O 0 Summary of +25 cm. Interval Qualitative Sampling for 12-month Sampling Period . Quantitative Sample Percentage Composition Monthly, 25 cm. Interval . . . . . . . . Order and Division Percentage Composition of Monthly Quantitative Samples, 25 cm. Interval O O O O I O O O O O O O O I 6 C 35. Summation of Qualitative and Quantitative Contribution of Lake and Psammon Zone Algae for 12-month Study Period . . . . . 36. Division and Order Summation of Species Reported in Qualitative Samples Taken from Lake and Beach Transect Intervals During 12-m0nth Study a o c o o a o o o o o o o . ‘ 37. Summary of Total Species Number in Lake and Beach Transect Qualitative Samples Monthly ‘ During 12-m0nth Study a e o o a o o o e l 1 38. Summary of Division and Order Contributions ‘ to QUalitative Beach and Lake Qualitative 1 Samples, November to October . . . . . . . 1 vii Page 193 200 209 216 224 247 255 291 293 295 Page Summary of Quantitative Data, Total Number of Individuals per cc. of Sand in Quantitative Samples, November Through October, Lake and Beach Transect Intervals 300 Relative Monthly Quantitative Abundance of Algae in Beach Transect Intervals, November Through October, With Respect to Lake Phytoplankton Density . . . . . . 307 Index of Diversity for Lake and Each Beach Transect Interval Monthly, November to October . . . . . . . . . . . . . . . . . 320 Coefficients of Community and Species in Common, Lake and Beach Transect Intervals, Monthly November to October . . . . . . . 328 Summary of 12-month Means for Values of C and Number of Species Shared in Common by Each Collection Site in Relationship to the Other Four . . . . . . . . . . . . . . 338 viii i 2. 3. 4. 5L 5. 7. 8. 9. 10. 11. 12. 13. I Figure 1. LIST OF FIGURES Map of Clyde, Michigan, and Vicinity Showing Location of Duck Lake Outline Map of Reach A of Duck Lake Showing Location of Transect (X) Beach Profile at Transect Site Showing Late Summer Phreatic Levels . Massed Samples Grain Size Cradation Curve . Diagrammatic Representation of "Black Layer" Distribution During Months Observed . . . Graphic Comparison of Transect Intervals Twelve Month Means Volatile Matter Percentage on Dry Gross Weight Basis and Percentage Water Content on Wet Gross Weight Basis . . O O I D I O O O 0 O O I 0 Monthly Variation in pH of Lake and Interstitial Water . 0 O 0 O C C O Q C I O Dissolved Carbon Dioxide in ppm. for Monthly Lake and Interstitial Water Samples . . . Dissolved Oxygen in ppm. for Monthly Lake and Interstitial Water Samples . . . . . . Dissolved Oxygen as Per Cent Saturation for Lake and Interstitial Water Monthly Samples . . . Total and Volatile Dissolved Solids in mg./l. for Monthly Lake Collections . . . Total and Volatile Dissolved Solids in mg./l. for Monthly Interstitial Water Samples . . . Volatile Dissolved Solids Expressed as Percentage of Total Dissolved Solids for Monthly Lake and Interstitial Water Samples . . . . O O O O 0 O O O O 0 O O 0 ix Page 18 2O 31 53 61 7O 74 83 85 B7 B9 89 90 2. Lake a ‘ “hrs II“ ‘- Eta} ‘ ‘0", 1,,” Monthly for Total, Calcium, and Carbonatg Hardness . . . I . . U 0 O C 0 O O O C . O Interstitial Water Hardness Expressed as ppm. CaCO3 Monthly for Total, Calcium, and Carbonate Hardness . O C O O O O i O O O C Total, Bicarbonate, and Carbonate Alkalinity of Lake Water at Monthly Collections . . . 17. Total and Bicarbonate Alkalinity of Interstitial Water at Monthly Collections 18. Total Ferrous and Ferric Iron in ppm. for Monthly Lake and Interstitial Water Samples 0 O C C O Q 0 O O O O O O I O O O 19. Sulfates in ppm. for Monthly Lake Water and Interstitial Water Samples . . . . . . . . 20. Silicates in ppm. for Monthly Lake Water and Interstitial Water Samples . . . . . . . . 21. Orthophosphate in ppm. for Monthly Lake Water and Interstitial Water Samples . Q 0 22. Inorganic Nitrate and Nitrite Nitrogen in ppm. for Monthly Lake Water Samples 23. Inorganic Nitrate and Nitrite Nitrogen in ppm. for Monthly Interstitial Water Samples . . . O O O O O D U I O O O O O O 24. Diagram of Bore Field Utilized in Tracing ‘1 Hygropsammon Zone Interstitial Water Movement . . . O O O O O C O O C D 0 C O O 25. Total Number of Individuals per Liter, Quantitative Phytoplankton Samples November Through October . O C O C . O I 26. Division Percentage Composition in Quantitative Lake Samples, November Through October . . Q 0 O C I U I O O O O 27. Total Number of Individual Algal Units per cc. of Sand, Quantitative Monthly Samples, 300 cm. Interval . . . o o o o o e e e e e Page 91 91 97 9B 99 100 101 103 104 105 108 127 145 160 L r 7 f. Page Summary of Percentage Composition by Divisions for 300 cm. Interval Quantitative Samples, November Through notch-rooeoesooo-ooooooo167 29. Total Number of Individual Algal Units per cc. of Sand, Quantitative Monthly Samples, 200 cm. Interval O O O I O O D O O I O O O 185 30. Summary of Percentage Composition by Divisions for 200 cm. Interval Quantitative Samples, November Through October 0 O C O O O O O O O O O O O O O O 194 31. Total Number of Individual Algal Units per cc. of Sand, Quantitative Monthly Samples, 100 cm. Interval . . . . . . . . . . . . . 213 32. Summary of Percentage Composition by Divisions for 100 cm. Interval Quantitative Samples, November Through DCtOber O O O O O O I O D O I O O O O O O 225 33. Total Numbers of Individual Algal Units per cc. of Sand, Quantitative Monthly Samples, 25 cm. Interval C O l O O I C I I 0 O O O 245 34. Summary of Percentage Composition by Divisions for 25 cm. Interval Quantitative Samples, November Through October . . . . 256 1 1 1 35. Summary of Quantitative Date, Total Number 1 of Individuals per cc. of Quantitative Samples, November Through October, for Lake and Beach Transect Intervals . . . . 301 1 1 i 1 36. Relative Monthly Quantitative Abundance of Algae in Beach Transect Intervals, November Through October, with Respect to Lake Phytoplankton Density . . . . . . . . 308 37. Index of Diversity for Lake and Each Beach Transect Interval Monthly, November to DCtOber O O I O C I O I C C O C O O O O O 321 (J: (23 0 Community Coefficients for Reach A1 and Four Beach Transect Intervals Monthly, November to OCtObEr O O O I O O O O O O O I O I O D 329 Page , Community Coefficients for the 25 cm. ‘ Interval in Relationship to Reach A1 and Other Beach Transect Intervals Monthly, November to October . . . . . . . . . . . 331 Community Coefficients for the 100 cm. Interval in Relationship to Reach A1 and Other Beach Transect Intervals Monthly, November to October . . . . . . . . . . . 333 Community Coefficients for the ZOO cm. Interval in Relationship to Reach A1 and Other Beach Transect Intervals Monthly, November to October . . . . . . . . . . . Community Coefficients for the 300 cm. Interval in Relationship to Reach A1 and the Other Beach Transect Intervals Monthly, November to October . . . . . . . 336 Comparison of Index of Diversity with Mater Content on Net Gross Weight Basis for Each Beach Interval Monthly, November to OCtOber I O O C O O O I O O O O C C O I O 342 2::- .., .I:\ 'I CHAPTER I INTRODUCTION Since the recognition of Sassuchin, Kabanov, and Neisuestnova in 1927 that interstices within a sandy beach contain a well-developed microflora and fauna, considerable research has been done upOn this environment (see Chapter II, Literature Review). Most published reports upon investiga— tions of the sandy beach, however, have emphasized the taxonomic approach, particularly that of the rotifer com- ponent of the microfauna. In comparison with the extensive literature relating to the ecology of the algae of aquatic and terrestrial environments, that of the microflora of the sandy beach transition zone between the two has been largely ignored. Controversy still exists considering the terminology and ecological concept of the interstitial water ecotone within a beach. For that matter, definitions applied to the zones of the beach itself are often vague and contra- dictory (welsh, 1952, pp. 315-319). Sassuchin gt _a_1. (1927) considered the environment transitional between aquatic and soil habitats, referring to it as the "psammon", but Nisznismski (1934) considered it rather a unique type of aquatic littoral habitat, the "psammolittoral". Subsequent jg“ body of water. Generalizations concerning the physical-chemical aspects of the psammon environment must be qualified as to 3 the relative proximity of the normal shoreline in that the literature of research upon the ecology of the psammon indicates that any given physical-chemical factor tends to be a function of the distance from the shoreline. It is this horizontal Variation of physical-chemical factors with dis- tance from shoreline that has been used to justify Wiszniewski's concept of the sandy beach as a unique type 01’ aquatic environment, the psammolittoral, more or less transitional between the aquatic and terrestrial environments. Most investigators have utilized miszniewski's terminology to delimit zones of the psammon as based upon moisture content and exposure to wave action. These are as follows: (1) the hydropsammon of permanently submerged sand below the water's edge, (2) the hygropsammon zone adjacent to the water's edge and completely saturated by capillarity and wave action, and (3) the eupsammon zone, landward from the hygropsammon zone, which is partially saturated and exhibits frequently a thin, dry surface layer. Pannak (1940), Neel (1948), and mum (1952) compare the hygropsammon zone to the inner beach and eupsammon to the middle beach. Review of the literature indicates confusion .'. .n'b -n_' lat-II “rh- .5 In“ . "u u u an, .il" -- . '- “Wan—3‘» N'— 3 ng delimitation between the hygro- and eupsammon and it is evident differentiation between them is y arbitrary. Pennak (1939, 1940, 1950) has stated that perhaps other environment supports such a dense and diversified group of microorganisms as the sandy beach. Subsequent investigations have tended to verify this and his charac- terization of the psammonflora as basically dominated by diatoms associated with blue-green algae and, to a lesser extent, green algael Most investigations have indicated the psammonfauna to be composed primarily of testaceous rhizopods, nematodes, rotifers, oligochaetes, tardigrades, and copepods, many species of these being unique to the psammon or exhibiting a definite distributional perference to the psammon habitat. The biota of the psammon apparently tends to be restricted to the surface few centimeters of the sand, the producers within the photosynthetic 20ne at 1 the surface, and the consumers barred from depths of more than a few centimeters by chemical conditions developing From organic decomposition at lower levels. Apparently, too, the abundance of organisms within the hydropsammon is far less than that of emergent portions of the beach. The l high biological productivity of the psammon zone micro- ecosystem has been attributed to the close vertical rela- tion of the photosynthetic and decomposition zone (Neel, 1948). Strangenberg (1934) has described the psammo- littoral as an extremely eutrophic water medium, and u re sub "‘ {rely Trent T . .... 4 to) gliding on an average 54 per cent more dissolved in- mé‘gnic material and 42 per cent more dissolved salts than Uia‘adjacent lake. Physical-chemical conditions in this medium are subject to extreme seasonal and diurnal varia- tions largely produced by interaction of factors influenc- ing movement of water through the voids between adjacent sand grains, the fluctuations becoming more pronounced with distance landward from the shore. Too, the milling action of the sand matrix induced by wave action, diurnal expan- sion and contraction produced by thermal variatiOn, and major shearing and plowing by ice movements on lee shores results in an unstable physical environment. That such an environment supports such numerous inhabitants assuredly warrants far more investigation than it has received. wiszniewski's concept of the psammolittoral as contrasted to Sassuchin's psammon has been adhered to in most ecologically oriented psammon studies, limnological techniques having been utilized to the almost complete exclusion of techniques of soil study. A search of the literature indicates that no study has been made incorporat- ing or comparing to any extent the standard methods used by the limnologist and soil scientist in environmental research. Ruttner-Kolisko (1956), however, has pointed Out the necessity of some standardization of approach to study of this unique environment. Most ecologically oriented studies of the psammon have been extensive rather than intensive, and, although a ram ta'nmti H.615" l E' 2112:! 5 ‘ all investigators have reported upon evidence of sea- study conducted at regular intervals throughout the year on a freshwater beach. Neither does there appear to be any study of algal communities as such in the freshwater beach comparable to those of Wieser (1959) or of King (1960, 1962) upon invertebrates in marine beaches. In 1952 Welch stated that little, if any, informa- tion was available with regard to the fate of psammon populations in winter when beaches are frozen, when falling water level causes a gradual migration of the water- saturated beach zone, .and in the presence of shore erosion by ice. He noted at that time (1952) that the general reletiee of the psammon to the main water mass of adjacent lake or stream was still uncertain. Results of greliminary studies 1 During 1959 and 1960, preliminary psammon studies were conducted upon several beaches in south central lower Michigan to investigate the feasibility of conduc- tion of year around field research upon the psammon environment at that latitude. These preliminary studies indicated that, contrary to generalizations in the litera- ture, the psammonflora is not necessarily dominated by diatoms, at least not throughout the year. Definite ssasonal qualitative and quantitative periodicity was evident in both algal and invertebrate populations during it"s: Id 1'5 «)1 I'll 22:1 I! Yeats: Till!!! I 112': t: E 3353! I} E :32?) 6 l invertebrates and autotrophic and heterotrophic protistans immediately upon thawing. Initial winter freeze in Lake Lansing and Big Portage lake produced a frozen psammon layer 6 to 8 inches thick which was sheared from the substrate by expansion and movement of lake ice. It was these psammon layers then buried under one to three feet of snow and fractured lake ice that yielded numerous living algae and invertebrates upon thawing. Attempts to use tool steel cores and chemical thawing for quantitative winter psammon samples were re- Peatedly unsuccessful. In addition, the time involved in thawing gross sand samples nullified attempts at chemical determinations of interstitial water. It was seen, however, that south-facing beach slopes frequently thawed to an appreciable depth suitable for quantitative algal samples on sunny winter afternoons, but still such beaches did not yield sufficient interstitial water for chemical determinations in the winter months. In all, preliminary observations were made on a total of 89 lakes within a 60 mile radius of East Lansing with respect to the presence or absence of a south-facing beach Possessing the selection criteria listed in 2'21 m {12:55. 7 ~‘4rIII, Description of Beach Transect. Observations This investigation was concerned with the fol- lowing problems: 1. to attempt standardization in psammon study of physical-chemical determinations by amalgama- tion of soil science techniques and those of limnology, 2. to establish evidence of zonation of algal communities in a sandy beach, 3 to establish evidence of seasonal qualitative and quantitative variation in algal populations in a sandy beach, J: o to attempt correlation of zonation and seasonal variation with physical-chemical conditions prevailing in the habitat, 5. to compare the algal flora of the psammon with that of the adjacent lake. CHAPTER I I LITERATURE REVIEW Probably the first published record of investiga- tion of the psammobiota is that of Sassuchin (1926) who investigated the microbiota, particularly the Protozoa, of the sandy shores of the Dka River, Russia. Olson- Seffer (1909) had previously studied hydrodynamic factors influencing plant life on sandy sea shores, and Oliver (1912) had described the shingle beach as a plant habitat. Hill and Henley (1914) investigated the source of inter- stitial water in marine shingle beaches, and warren and Mudd (1924) reported on the active migration of bacteria 1 through sand substrates. Herdman (1921) described dis- taloration of the sand at Port Erin produced by dino- flagellates and other algae. It is believed that Sassuchin, Kabanov, and Neiswestnova (1927) were the first, however, to recognize the psammolittoral as a distinct environment, regarding it 1 as a transition zone between the aquatic and soil habitat 1 and coining the term "psammon" to designate this environ- ment. Their report, presenting the results of study of 1‘ the microbiota inhabiting the beach of the Uka River, was concerned primarily with the microfauna of the environment, mustta‘ '2. Wméxi 9 ”fiflgh some phy91ca1-chemical data were also given. #ushin elaborated upon ecological conditions of life in and Shadina described faunal differences occurring in the v sandy substrate from midstream to the banks of the Oka River. In 1921 Klie described the copepod component of the sand-dwelling fauna of north German beaches, and in the same year Bracher investigated the ecology of the banks of the brackish mouth of the Avon River, noting distinct communities of algae -- primarily Euglena and diatoms -- that showed spatial distribution on the basis of substrate moisture content, seasonal qualitative and quantitative variation, and diurnal vertical migratiOn attributed to light regimes. In 1932 Pirre, Bruce, and Moore reported the results of a quantitative study of the metazoan population 0? a sandy marine beach at Port Erin in which they in- ‘ eluded pH, mechanical analysis of grain size, grade, salinity, and organic content data in reference to the substrate. Distinct distribution patterns were attributed to pore siza and grade. Bruce (1928a, 1928b) had pre- viously published accounts of investigations of physical- chemical factors occurring in marine beaches at Plymouth, England. Also in 1932, wilson reported the occurrence Of several species of copepods from marine beaches in the Vicinity of woods Hole, and in 1935 he described the sandy 10 Rob as a new and important copepod habitat, referring to copepods of such a habitat as terraqueous and attributing discovery of the habitat to N.A. Cobb. miszniewski in 1934(a) published the first of an extensive series of reports upon the freshwater sandy beach as a special type of environment for microscopic life. Strangenberg in the same issue of the publication described the environment, the psammolittoral, as an extremely eutrophic water medium as based upon data col- lected pertaining to the chemistry of interstitial water from two beaches in Poland. Probably no other investigator of the psammolittoral biota has been so prolific in pub- lication (1934a, 1934b, 1935a, 1935b, 1936a, 1936b, 1936c, 1937a, 1937b, 1947). Most of these publications deal with 1 the taxonomy and biology of rotifers inhabiting sandy beaches of lakes and rivers at various locations in Poland, although some (1934b, 1947) contain considerable references to ecology of the psammolittoral zone. Aside from the investigation of the environmental factors acting in the sandy beaches of New Brunswick and Preliminary designations of their intertidal communities reported in 1935 by Newcombe, published accounts of re- search upon the psammolittoral in the 30's and early 40‘s were concerned almost entirely with the taxonomy of its metazoan inhabitants. Nicholle in Scotland (1935, 1939) and later (1945a, 1945b) in western Australia and Schulz (1937) and Kunz (1938) in Germany described new copepod L'Eilhab dad a] :1 mm! 11 fies inhabiting marine beaches. Also contributing to a; are of almost exclusively metazoan taxonomic approach {in the psammolittoral zone were Varga (1938) with a report n the micropsammofauna of Hungarian lakes and Gieysztor (1938) reporting upon turbellariana from the freshwater psammon of Germany. Choppuis (1942, 1944) described the ieopods of the sandy margin of a Hungarian stream, and Stentscheff (1944) reported upon the nematodes of the psammolittoral of a Holstein lake. In this country Myers (1936) listed the species of rotifers found in the psammo- littoral of several acid lakes in New Jersey, and Tressler (1940) described a number of ostracods from a marine sandy beach near Beaufort, North Carolina. Pennak (1939, 1939b) described a new rotifer and new copepod from the psammo- littoral zone of some Wisconsin lakes. Pennak subsequent to his taxonomic papers of 1939 later (1939c, 1940) emphasized the ecology of microscopic metazoans inhabiting the psammolittoral of misconsin lakes. In 1950 he published a summary of what was then known of the comparative ecology of interstitial fauna of marine and freshwater beaches. Papers describing copepods from intertidal beaches near woods Hole (1942, 1942a), a new order of crustacean from an intertidal beach (1943) and a new species of isopod found in marine beaches of the Gulf of Mexico (1958) have also been published by Pennak. In 1942 Pearse, Humm, and wharton reported upOn the ecology of marine sandy beaches of North Carolina. 12 wwvhwgh emphasis in the report was upon the rnetazoa, some emeralizations were made concerning the relative abundance sf various algal classes in the psammobiota and their , morphological adaptations to the environment. In the same year Lund reported upon seasonal variation and phototactic response of the psammon algae of English ponds. Previously (1940) Beanland investigated sand and mud communities of the Dover estuary utilizing quantitative techniques. She related faunal distribution to grade size of the substrate, exposure time, and salinity gradation. Papers closely related to psammolittoral zone research were published by Moore (1939) who described a limnological investigation of the microscopic benthic fauna of Douglas Lake, and Noffett (1943) who described the limnology and seasonal variation of the macroscopic hydropsammon zone fauna of the same Michigan lake. Neel (1948), investigating the same lake, reported upon the limnological relationships of the psammolittoral zone. Considerable attention was given to the ecology of the algal component of the psammobiota. Aleem (1950) described diatom communities present in the surface two mm. of the substrate of English inter- tidal mudflats. Quantitative determinations of diatom communities were correlated with temperature, light penetra- tion, organic content, and gradation of pore size. Definite seasonal variation was observed as was vertical migration Df’ diatoms in response to variations in light intensity. ‘11:: :n “i“- I --.... 4 :0 or; -‘ ‘Iu-gu :- A.‘ ~- :1 ‘g n .__ "- u . 13 . 1961). Canapati, Rao, and Rao (1959) reported on the tidal rhythm of diatoms and dinoflagellates of intertidal sands of Indian beaches, attributing alternation of low tide photophilic phase and high tide photophobic phase to in- herent periodicity determined by tidal rhythms. Janika (1954) published a brief summary concerning generalizations about the composition of psammon flora and its relation- ships to physical-chemical factors of the psammolittoral zone; Levi (1950) described the isopods of French beaches, Remacne and Siewing (1953) psammon rotifers from marine beaches in Brazil; Among a series of papers describing the interstitial fauna of African beaches were those of 1 Gnanamuthu (1954), Chappuis (1954, 1954a, 1954b, 1956b) ‘ and Delamare and Chappuis (1956a, 1956b, 1957). Chappuis i (1956a) also described the interstitial fauna of the Bahamas. Koepscke and Koepscke (1952) discussed the origin of organic matter in marine beaches of the coast of Peru. Investigations concerned primarily with the micro- Fauna of European marine beaches include those of Vacelet (1961) who described seasonal variation of the infusorian microfauna of a medium sand beach near marseille, Janseon (1960) who reported upon the taxonomic study of inter- stitial fauna of a sandy beach with some reference to Organic matter and water relationships, Prenant (1960) who ‘lll‘rcnsta into: 1 turned 'e‘. .1352) :1! 11:1 reuseed granulometric methods of ecological investigation a)? intercoastal sands, and Scott (1960) who described the fp'erse fauna of a shifting beach at St. Kilda. Although not concerned with the microfauna of marine beaches, Selvat (1962) used quantitative“ methods to demonstrate seasonal variation of macrofauna during year-round regular sampling of French beaches. And Boaden (1963a) has re— ported upon the taxonomy of marine gastrotrichs from the interstitial fauna of some north wales beaches. Additional reports by Boaden (1963b, 19630) were concerned with the distribution of nematodes on many marine beaches, over 100 new species being reported with distribution patterns apparently determined by grain siZe of the substrate. Recent publications referring to investigations 1 01“ European freshwater psammolittoral habitats include those of Milosevic (1960) who presented generalizations concerning biological activity of different levels of river sands, Sakharova (1963) who described the micro- bsnthos of sandy beaches of the Uchinsk Reservoir in Russia, and Altherr (1963) who presented a list of nematodes Occurring in the interstitial water of sandy banks of the Moselle River. Ruttner-Kolisko (1953, 1954, 1955a, 1955b, 1956, 1961, 1962) has published a series of reports of ecologically oriented studies on lentic and lotic psammo- littoral environments in Scandanavia and Italy. Although stressing the rotifer component of the microfauna, she has included some generalizations pertinent to the algae :: a... 5;. : I?“ u n \L 1S h psammolittoral Zone. Evans (1958, 1959, 1960) has substrate. He, too, has noted vertical migration of the algae corresponding to moisture content changes. Round (1960, 1961a, 1961b) in investigations related to the periphyton of the hydropsammon zone has reported seasonal cycles in abundance of the Cyanophyta and diatoms in English lakes correlating with variatiOns in light, temperature, silicates, and nitrates, the cycles of the periphytes differing in considerable degree to those of the phytoplankton. Recent investigations concerned with the psammo- littoral zone in the United States have been primarily related to studies of the microfauna of marine beaches. Wieser (1959) has reported upon the effect of grain size upon distribution of small invertebrates inhabiting the beaches of Puget Sound, distribution and barriers to even distribution apparently being determined by the grain size of the substrate. Crites (1961) has listed marine nematodes living in the upper three inches of sandy North Carolina beaches. King (1960, 1962) has published results 01’ investigations dealing with the ecology of psammolittoral ‘ POPUIations and communities of nematodes of the north- eastern Gulf of Mexico and has found evidence of communities related to average grain size of the substrate and organic 16 contained therein. Weber (1963 unpublished VHS. 711-) has made a study of seasonal variation of the fauna of the psammolittoral zone of a Michigan some reference also being made to seasonal variation the psammoflora. l :‘ --. I l CHAPTER III DESCRIPTION OF THE STUDY AREA General description of the area Duck Lake is located at an altitude of 1016.3 feet in sections 11, 12, and 14 of Highland Township, TEN, RTE, Oakland County, michigan. Humphrys and Green (1962) assign lake number 569 to Duck Lake and describe it as a natural lake of 253 acre area and 51 foot maximum depth, the area being estimated by reference to the 1909 U.S.G.S. Milford quadrangle topographic survey map. No more recent topographic map of this quadrangle exists to data. Figure 1 diagrams the lake and vicinity, the lake outline as of spring, 1964, being based upon 1957 aerial ‘ photographs of the U.S.D.A. Commodity Stabilization Service, Oakland County Drain Commission maps, and aerial Photographs supplied by Mr. John Namish, owner and devel- Oper of the lake. In the winter of 1958-1959, a channel was dredged approximately 0.05 miles toward the WNW to connect Duck Lake to a former segment isolated and separated by maintainance of the main lake at its then current level. Although assigned lake number 573 in Michigan Lake Inventory Bulletin No. 63, since 1959 the body of water 17 J— ,_,,_,,,__,,,,. ,,_ , Duck Lake Milford Road Harvey Lek: Road White Lake Road Ghesapede and Ohio Milford Road Peninsula L.__ Fig. 1.--Map of Clyde, Michigan, and vicinity “mmhm location of Duck Lake. Drain 1(2 g4 ' L 2'54“ Hands In I '1 ‘ // ‘l 19 {- nias been directly connected to Duck Lake. Henceforth in study, this body of water will be referred to as ‘ Reach AL‘. Figure 2 shows the present form of Reach A based on information provided by the sources previously cited. Subsequent to the dredging of a channel to Reach A, its previous morphology was greatly modified by use of a drag line to remove deposits which had partially filled its basin. Reaches A1, A2, and A3 (Fig. 2), formerly separated from Reach A, were thereby connected to Reach A and thus returned to Duck Lake. From Reach A1, the body of water upon which the psammon transect studied is located, muck three to twelve feet deep was remOVed until the quartz sand substrate was exposed. Several large subsurface springs were uncovered during the dredging at the WSW end of Reach A1 as material was removed from the basin, piled upon the shore, and leveled. Table 1 presents the major physical characters of Duck Lake and Reaches A and A1 at the time of this study as based upon Figures 1 and 2 and morphometric techniques outlined by welch (1948). TABLE 1.--Major morphometric characters of Duck Lake and Reaches A and A1 Duck Lake Reach A Reach A1 —__._ k M. Area in sq. miles .456 » .083 .007 Area in Acres 291.8 53.1 4.5 Shore line length 7.9 1.6 .18 Shore line development 3.3 1.6 * L , a ,, , 20 Reach A £535... 3“”- 1;: ._-.'-“ A1 ”-74. E: ‘ .lA2 5‘ A3 ‘ L 9 0.1 0.2 0.3 0.4 0,5 Fig. 2. --0utline map of Reach A of Duck Lake wahm location of transect (X). 1 2:: .4 . -._. " '- 3. ..... 21 Western Oakland County lies within the Hillsdale- ciassification is characterized by altitudes of 800 to :12300 feet and topography of undulating rolling plains, 15in part of arcs of morainic highlands, the substrate being mainly sandy drift in origin (Veatch, 1953). Underlying bedrock of Duck Lake and vicinity is Mississippian, Iowan series, Kinderhook group, Goldwater ehale formation. Overlaid upon this bedrock is approxi- mately 300 to 400 feet of glacial drift carried to the area from the Canadian highlands lying to the northeast during the Wisconsin stage of Pleistocene glaciation, deposits of Wisconsin age being superimposed upon debris 0f earlier Illinoian glaciation (Leverett and Taylor, 1915; Leverett, 1917). The topography of this region is dominated by glaciation rather than by the overlaid rocks, which are so deeply buried that they contribute no character to present day topography although their contours influenced the course and flow of the ice sheet and deposition of drift (Bingham, 1945). } Determination of the origin of the deposits about Duck Lake is made difficult because of the interlocking marainic systems formed with advance and retreat of the Saginaw and Huron-Erie lobes of the wisconsin ice sheet Which met and combined in this immediate area. The Saginaw lobe of“ Misconsin flow was southwestward through and beyond i e-m int I!" am: ..:., , 22 mggiizua‘w Bay, and the Huron-Erie westward through the Lake [5-3135 basin into Indiana. At Duck Lake, interlocking flat Utweeh aprons are associated with moraines of differing origins. Reference to surface formation maps (Leverett, 1924; Martin, 1955) indicates that Duck Lake is situated in an outwesh apron, lying about one mile south of the southern margin of an extensive glacial till plain or ground moraine. No streams flow into or out of the lake, drainage into the lake being that of surface and subsurface flow from the glacial outwash aprons derived from the moraines which surround the lake on all sides but the east. Aridge of glacial till at the margin of this ground moraine forms the northern limit of the Duck Lake watershed. Drainage to the north of the ridge is to Saginaw Bay via the Shiawassee River. Overflow from Duck Lake is via a ‘ II control sluice which drains to the south and west into Pettibone Creek and eventually southeast into Lake Erie via the Huron River. The ground moraine lying north of Duck Lake is assigned to part of the Ionia moraine system of the Saginaw lobe (Bergquist, 1932). A mile to the south and west of Duck Lake, extending from Clyde to Highland roughly along the route of the Chesapeake and Ohio railroad, is the northern terminus of a morainic mound which forms the westernmost limit of the Duck Lake watershed. This moraine and its outwash apron component are attributed to the 9": Eu ,f- n . ...I 'e. n u a. : a. q.» 1 : .._. e .‘ ..__ :‘I T . . I I. . 1 M I. '-. . - . . ‘1 ‘u ‘- \ .l ‘i '\ f . .g‘. 23 ation in southern Michigan. The barrow ditches lin- fixtreme western end of Reach A1. A morainic mound arcs to the northeast from Highland to the cemmunity of White Lake, the northern terminus forming essentially the eastern margin of white Lake. The southern terminus lies about 1.5 miles south of Duck Lake and apparently delimits the southern margin of the Duck Lake watershed. Duck Lake receives water draining from White Lake, the latter's level being main- tained at 1018.6 feet above sea level by a control sluice. This morainic mound southeast and east of the basins of Duck and White Lakes is assigned to the Defiance System of the Huron-Erie lobe, the ice apparently having advanced from the south and east rather than north and west as was true for the ice movements which deposited the debris to the west and north of Duck Lake (Leverett and Taylor, 1915). According to Leverett and Taylor, the drift in this area is largely gravel and sand with only scattered deposits of clayey till; the outwash aprons being composed, too, of gravel and sand. No comprehensive soil surveys are on record as ever having been made in western Oakland County. Descrip- tion of the soils in the Duck Lake area is therefore based "PO" generalizations relative to soil characteristics of the general area as gathered frOm diverse sources. : .1 3m with -: Ian! 0 I “'L rt“: 5’ l we 24 smooth sand and gravel plains, only slightly pitted or undulating with few lakes or muck basins. Soils of this land type they characterize as sandy loams with a clayf-sand hardpan, six inches to several feet in thick- nass, lying one to two feet below the soil surface. Below the hardpan is send and gravel. Specifically they assign the soils of the Duck Lake vicinity to the Fox Soil type. Veatch (1953) describes the Fox soil type as characteristic 0? glacial outwash flats and glacial drainage valleys. These soilslhave light-colored surface horizons of friable sandy loams, a subsurface horizon of sand and gravel bound into a slightly to strongly coherent mass by reddish Clay and colloids, a pervious substratum of variably 1 calcareous gravel and sand, and an underlying mass of interetratified sandy clay, silt, sands, and gravel. The climate of western Oakland county is subject to the moderating and stabilizing influence of Lake Michigan and to a lesser extent that of Lake Huron. Winters are milder and summers cooler than at like latitude in Wisconsin and Minnesota. Seeley (1917) listed a mean ‘ annual temperature of 47°F. for western Oakland county with a January mean of 22°F. and one of 70°F. for July. Weather Bureau records at Pontiac, the nearest first class U.S. Weather Bureau station to Duck Lake, give a 32-year 25 ghost usually occurring in the first week of October and the last the second week in May. Mean annual precipitation in the vicinity of Duck Lake is approximately 28.5 inches with the precipitation relatively evenly distributed throughout the year. For May, the wettest month, the 32-year mean precipitation is approximately 3.5 inches and that of January, the driest month, approximately 1.7 inches. From April through September, 59 per cent of the total annual precipitation normally occurs. Prevailing winds in western Oakland county are from the southwest, the average velocity approximating 8 to 10 mph. In the winter, cold continental air passing eastward over Lake Michigan, and occasionally westward over Lake Huron, becomes warmed and laden with moisture, thus producing unstable cloudy conditions in southeast lower Michigan. In December and January, the Duck Lake region receives on the average only 22 per cent of p05- sibla sunshine. On an average there are only four clear days per month in December and January, as contrasted to an average of 11 clear days per month for the period July through October. According to the U.S. Weather Bureau, sautheastern Michigan sunshine averages only about 50 Far cent of possible incidence annually. r: tis ii men III a! 23:11 3‘. art :‘m- cf 3!".2‘. 1 11' he 26 It should be noted that abnormal climatic condi- Vt‘is prevailed in lower Michigan during the period within {hich this investigation was made. During 1963 the Duck M.eke area received only 60 to 70 per cent of the normal annual precipitation, the second consecutive year ‘of‘ below normal precipitation. In 1964 as well rainfall in the vicinity of Duck Lake was approximately six inches below the annual mean of‘ 31 inches. Levels in many Oakland county lakes reached record lows, some becoming completely dry during the period October, 1963, to November, 1964. During this period, Lake Michigan and Lake Huron reached the lowest levels since record keeping began in the 1860‘s. Although no meteorological data were recorded at the transect site during the period of“ study, Tables 2 and 3 record the precipitation occurring daily at the communities of Highland and Duck Lake, the Former location 3.1 miles SSH! and the latter 5.3 miles ESE of‘ the beach (Detroit Metropolitan Network Annual Summary, 1963 - 1964), Description of‘ beach transect The beach transect investigated From November, 1963, to October, 1964, was located on the northern margin OF Reach A1 at the Far western end of‘ Duck Lake (Fig. 2), At the initiation of‘ the study a well-defined white quartz sand beach extended For 0.12 miles along the northern margin of" Reach A1. In width the landward margin of‘ this beach varied from two to six meters distance From the Shoreline. Using descriptive criteria developed by Veatch CHI 1 D \II fi-hhl I I . I‘ n I I I . u . . ...I~ I\...)\ I \ :e \xx :CI ‘IIIIIIIIIII .II‘II|||.||I|.I.I\|IHI| .II I .|.. . . II.l.|II | I II I IIel-nu I...II.I. In...‘ 5-... .u....~. II... I l \ I I... I . e I..I.~ I . II I . .. .IIIIfllnul III.e I IIIsIuIII-Iu. ell-u .tIn-II.III I II I I II mm. em.r mm.s ne.~ me.m mn.m me.e se.m mm. as.e mm. um.e me. Hesse _ Nr. 0N. em H mm. mo. on m . mm. No. mm _ am am. mm. mm. mm c me. as. so. em me. me. mr. mm mm. mo. mN mm. No. we. rm. em mo. MN so. am. mo. mm mo. mN.r mm. om. mo. em on. oo.r mm. am we. ms. em. P P P as me. me. ea. m. w. m. we we. so. m. M M 5 am. no. or we. rm. w. m. m. we N no. mu. we. no. mo. M m m we moé me. u w w 2. NO. m0. m0. T: T. T. N... so. em. we. m m % er No. 5. as. mo. m. m. m. E. rm. hr. wr. no. we. 6 6 6 0 Fr. am. no. Hm. m me. He. mo. e on. o No. me. m cm. mo. 50. Q h or. om. n mm. we. N 0N. no. v .900 .nwm .m:< >H21 econ >wE ono< Iowa .cmu .con .ooo .>oz .&00 name a: Doomsduu uwn< :nuudononvms enounmo on» L0 :oanwam .comflcous .ocwdnmdr .vmmr u IUDOHZH unmmr fun—”.0900 utvcofi HO..— MDZDCH. EH Hahn COHvuanHDmkn XHHNOIIIN U4mH31 moan xaE .unt «nos .nwu Icon .omo .>02 .uuo ovwo It omoocqon. .oou< conudeoonpoa unouumo one to coeueom showcase .mxmu ounce some . SGDOHLG unumr. HDDDHUD mIHCOE hon MM£UCH CH NHND EDflHNuHQHUMHQ >HHNQI|IH Udmck rams emu the: l I aim 29 she Humphrys (1955), the beach is of the low shore, hard fifh‘ore, sand beach type. Page 19 outlines the manner in which the morphometry of‘ the beach was formed about the . I margin of Reach A1 in the winter of 1958-1959. The southern margin of Reach A1 was also a sandy beach during the study, similar in width to that of the northern margin (Fig. 2). The western limit of Reach A1 during the growing season was a marshy area, characterized by a thick, massed grOwth of emergent, rooted hydrophytes. A shallow sill extended across the channel connecting Reaches A1 and A2 at the point of narrowest constriction. During low water periods in July, August, and September this sill was exposed, separating Reaches A1 and A2 from the main body of Duck Lake. The site of the transect was selected with refer— ence to homogeneity of slope, Freedom of area from macrophytes and surface organic deposits, relative homo- geneity of sand grain size, nature of slope, and surface 0? the hydropsammon zone sand surface in the event of water level regression. Upon selection of the site, one piece of one—inch copper tubing was driven two feet into the sand at the shoreline. Another rod was placed 300 cm. landward and one BOO cm. lakeward from the zero Delhi: to form a straight line, perpendicular to the shore- line, between the three index points used as references for all subsequent linear measurements made during the study. All linear measurements made along the index line 3E! _ dward from point Zero position and negative numbers to stations lakeward from the original point zero. “ The general topography of the area making up the northern margin of Reach A1 suggests that the slope investigated lies on the extreme flank of a morainic mound originating approximately 100 meters ENE of the transect and terminating just short of the western limit of Reach A1. Inasmuch as the linear dimensions of the transect did not warrant use of beach slope measurement techniques such as those described by Emery (1961), a temporary wooden framework was constructed with reference to the 1 } three index points, the horizontal member being positioned by means of a bubble level. A plumb line was used in ‘ measuring distances from sand surface to Framework ‘ horizontal member every 12.5 cm. along the transect index line. The process was repeated for a parallel line 10 cm. Either side of the index line and the three readings averaged for each 12.5 cm. location. Figure 3 presents the beach profile thus determined. A number of ‘12‘ x 2 x 2 inch pine wood blocks were placed on the sand surface above shoreline at in- tervals of 25 cm. along the index line, beginning at +12.5 cm., in order to determine the extent of wave action between collection dates. As the lake level retreated, —t\r-lI-I. .I....:e .-..~ 31 .mHm>oH caucwucc possum mama mcweocm mean cummcmnu pa mHHLouc commmII.m .mwu wcwameocm poc5w>02 scum .Eu cw mocmuwflc Hmumumo mm mm D mNI omI me earl A 1 - 4 . Dam mee ome mme use me Dom mN-N OMN mN-N - c n - a - .EU 02.... um wCHHwHOCw carts Hm>mH UH».NEH£QI.|.| oEu ms... #w wCHHwkozm coca Hosea." DfiawwnfullIlll Jame m -mNe s m. m .ooe a T. u Imp m .tf‘figfiIafiqalINHIIIIIIWPHIILHIqHJIJHI“ :1!le 9 O [Ida-0’ 9 w 8 X . .....I I am M ’ sons/cocoo/e-eooeco-osconce...- 8 l1! .. .II.II.I N e "‘ ' ' I '0 I. mN o I" n .m. q o a a m 3 mm H” Hw>wum meouwn opmnpwnow mafixauwnc: Loans no Ho>w4 no N wcwkuocw enmmr .nmceo>02 AV Iom e .50 mew! um wcwdouocw coca Ho>mH oeumwan........ mm. .. Erin; .‘1I1'. the } -:.': it II ‘3: -“.2 32 :Tbitional blocks were added in the former hydropsammon 'w‘ne. During the study, the blocks were found dislodged only on the April 6 and May 6 collection dates. On April 6 it was found that all blocks from +12.S cm. through +112.5 cm. were missing, and there was visual evidence of churning and plowing of the sand up to the +125 cm. mark. This activity was apparently related to the break-up of the winter ice cover. It would appear that at no time other than in March-April did wave action influence the beach at any point 12.5 cm. or more above the then current shoreline. From November through March the level in Reach A1 remained unchanged. At the April 6 collection, however, the shoreline was found to have advanced to the +30 cm. mark and to the +40 cm. mark on May 6. In June the lake had receded to the -30 cm. mark, in July to ~50 cm. and in August to -225 cm. mark. Heavy August rains returned the level to the -175 cm. mark in September. By October, the lake level had retreated to -250 cm. mark. In November of 1963 Reach A1 offshore frOm the transect was characterized by an almost pure population Offl'lfl‘a vulgaris L., beginning at the -125 cm. mark and extending in an arch around the western end of Reach A1 t0 appear in similar extent on the southern margin of the body of water. This growth flourished throughout the winter under the ice, but was almost completely eradicated in the March-April ice breakup, after which % ,ir*;,*i ,, 7 :w. 31 My. M1 '2: ball! air; I! 9 rain! t! M E 3:: 5?! :r‘t r3. :y I?! Em 33 In. July, Auguet, September, and October, however, the Chara thalli became covered with a thick mucilaginous coating of Phormidium angustissimum N. at (3.5. west to the point that almost the entire surface of Reach A1 became a brown, decaying entangled mass of' Chara fragments at the center of heavy sheaths of B. angustissimum and numerous cyanophytes entrapped in the Phormidium mucilage. From November through May the beach in the vicinity of the transect was practically devoid of macrophytes, but by June a relatively thick growth of Juncus acuminatus Michx. and Juncus bufonius L. had developed in a band roughly 100 cm. wide between 100 and 200 cm. inward from the November shoreline. Scattered individuals of Ambrosia elatior L. and Erigeron ramosus Watt.) 8.5.9. also appeared. This development of macrophytes, however, did not intrude into the transect collection zone. An ice cover ranging from 10 to 25 cm. in thick- noes covered Reach A1 from December through March. The sand of the beach itself was frozan into an icy concretion from December 8 through March 6. In December the lake was covered by a layer of ice 10 cm. thick, and the sand Of the entire transect from point zero to +300 cm. was frozen except for the surface three cm. Ice 18 cm. thick covered the lake on January 4, 1964. On that date ten cm. 0f snow covered the beach, but the top three to five Cm. . . 34 :599end beneath were friable, quickly solidifying when in snow cover was removed. The sand had a distinct ‘ blue-green tinge from the +150 to the +300 cm. mark. On February 5 ice cover on the lake was 25‘ cm. thick, and thesamiwas solidly frozen except for the top two cm. Again-the beach sands between the +150 and the +250 cm. mark were distinctly blue-green. A layer of frozen sand one cm. thick lay one cm. below the surface of the beach unmard16, this layer being two to three cm. above the comfletely frozen layer of sand parallel to the surface. Tm1cm. of ice covered the lake on the March 6 collection (hte. On each of the December, February, and March mfllections the sand was completely frozen until the mmface few cm. of the south-facing slope thawed around mid-day. By late afternoon the sand was again firmly \ l ‘ frozen. \ \ .‘1‘I‘aj . .._ .‘-t- . .. CHAPTER IV METHODS AND MATERIALS Granulometric fiscription of‘ the beach m Mechanical analyses of‘ approximately 150 grams of‘ incinerated sand collected From the surface three cm. were made For each station along the transect index line at 25 cm. intervals beginning at the -‘IUU cm. and con- tinuing through the +300 cm. mark. (See page 29 For description of‘ transect site). Mechanical analysis For sand grade distribution was made Following standard pro- cedures as outlined by Kilmer and Alexander (1949), Passing the gross sample through a 2.5 inch U.S.D.A. mechanical analysis sieve set having standard U.S. sieve series components of” 18, 35, 60, 140, and 300 mesh (U.S.D.A. Bull. #170). Each sample was subjected to 15 minutes of‘ agitation on a lateral shaker operating at 1140 reversals par minute. Percentage of‘ gross sample retained by each screen was calculated and data plotted as a grain-size accumulation curve in order to determine harmonic mean grain diameter, grain size distribution, ef‘f‘ective grain size, and uniformity coefficient at each 25 cm.- interval following methods of Heugh (1957). 35 itinhy 1* a 53‘ 3'3. in it‘s-g an: if. 131 E1 can I: 32:93 'n: 4‘ 36 Porosity was determined by standard volumetric procedures (Hough, ibid.). Standard soil porosity deter- minations by means of volumetric procedures were modified in that a soil sampling ring 7.6 cm. in diameter and 2.54 cm. in depth was driven into the sand surface, and the ring and 113.4 cc. of sand contained therein removed without disturbing the sample by insertion of a sheet meta13quare along the lower surface of the ring. The upper surface of each ring and its contents were then covered with a No. 50 Filter paper disc and cheesecloth and then inverted in distilled water for 24 hours to saturate the sample. The sample was next weighed quickly, any water draining onto the pan during weighing being included in gross wet weight. Finally the sample was placed in a 103°C. oven for 24 hours, after which the sample was again weighed. Wet gross weight less dry gross weight gave void volume. Weight of water per unit sample at saturation was also given by this procedure. Volume of the ring was considered total soil volume in calculations. Six samples were taken at each 25 cm. interval, three on each side of the transect limits, and the porosity values averaged. Unit weight or weight per unit volume of the sand at each 25 cm. interval was computed as the mean of six samples following standard methods (Russell, 1949). This method essentially involved determination of even dry net Night of sand sample divided by the sample VOIUIHB, 113.4 cc. J— ,,\,7_r ii ‘ 51. Baal? 3.1. east i:. h at so, 5 ' :5 Ti? 3 37 1964. Parallel to the index line of the transect and 100 cm. east of it a series of holes approximately 30 to 40 cm. in diameter were dug vertically into the sand at marks -100, ~50, zero, +50, +125, +180, and +300 cm. These holes ranged in depth from 75 cm. at the -100 cm. mark to 180 cm. at the +300 cm. mark. The symbol "0" on Figure 3 indicates the approximate depth in each hole at which a stratum of coarse gravel and heavily calcareous coarse sand was encountered. Above this substrate, size and nature of the sand particles at each hole were more or less those exposed on the beach surface. Reference to Figure 3 indicates the upper surface of the coarse calcareous deposits to be quite irregular. In the +300 cm. hole at 15 cm. a thick deposit of very dense clay was found superimposed upon the calcareous substrate. The depth of the phreatic surface below beach surface was recorded for each hole at regular intervals beginning in early July and continuing through September. Each hole was covered with plywood and sand to reduce eVaDDI‘ation and increment of windblown sand and debris within the holes. It was found that stabilization of the Phreatic surface with varying lake levels occurred in approximately 48 hours, fluctuation after 48 hours being five per cent or less. 38 . Figure 3 shows the phreatic surface levels beneath ‘Ve beach surface for three series of measurements made ' I over 52-hour periods during which the lake level was at -75, -150, and -275 cm. respectively. Interestingly, it is seen that the phreatic surface in each series lies considerably below the lake level prevailing during each series of measurements and that the phreatic surface distance to the beach surface is essentially the same frOm the +25 to the +300 cm. mark over a relatively wide range of lake levels. Unfortunately phreatic surface depth measurements were not made during the period November - May when the lake level stood at or above the zero mark. Thus it is not known whether the phreatic surface profiles constructed on Figure 3 are illustrative of conditions prevailing throughout the study. Physical data T Depth of light penetration into the sand was determined by utilizing a 4x 5" press camera magazine ‘ with a detachable glass face. The film magazine was in- serted'horizontally into the sand at depths below the ‘ surface of 0.5, 1.0, 2.0, and 3.0 cm., frameworks of these 1 thicknesses being temporarily attached to the magazine to maintain accurate and even distribution of send over the glass face. Fine grain positive film was exposed at each depth for two minutes, two series of exposures being made at the zero, +150, and the +300 om. marks. T m! sw’ Eaters! e and 11'. :33 ‘53::- ‘II ‘ 39 Temperature readings were determined at 25 cm. 'ervals along the beach transect index line by thrusting 1;; the bulb of a corrected laboratory thermometer just below the sand surface, any readings thus being illustrative of temperatures in the top 1.5 cm. of sand. Air readings were recorded at the +50 cm. mark at breast height and one cm. above the sand surface. Lake bottom temperatures were taken just below the sand surface at the most landward point along the transect index line at which a horizontal linear differential of 20 cm. occurred between lake bottom and lake surface. Lake surface temperature was also recorded at this point. Visual observations of the "black layer" were made each month that the sand was not frozen, and its vertical and horizontal extent plotted on graph paper. The "black layer" has been described by Neel (1948) as that portion of the sandy beach in which anaerobic de- composition of organic material has resulted in reduction 01’ iron oxides by sulfides to iron sulfide. A trench 20 cm. deep was dug from waterline to the +350 cm. mark Parallel to and 50 cm. distant from the base line. The trench was located on alternate sides of base line each month to reduce beach disturbance. Methods utilized by Pennak (1940) were modified to determine percentage of water content and total Organic content of sand at each 25 cm. interval along the beach transect index line at each collection date. exist: :3. if a E's“:- 11‘ 'Illhc c] Inn—l I ':' tie a sigh l'itatl 40 Approximately 20-gm. samples were removed from the top two cm. of exposed sand at each interval and immediately sealed in labelled plastic vials. Following transfer to porcelain crucibles and determination of gross wet weight, each sample was evaporated to oven dryness to obtain dry 'gross weight. Each sample was then incinerated over a burner at low red heat for one hour to determine loss of volatile matter (i.e. an approximation of contained 1., 194:5). organic matter according to Theroux e_t. Dissolved volatile matter (i.e. organic matter) was determined for lake water and interstitial water by modification of methods recommended by Theroux _e_l:._ _a_1. (flJ. 0ne hundred—ml. samples of lake and of inter- stitial water filtered through a 0.45 micron Millipore filter were evaporated to oven dryness in porcelain crucibles. Following gravimetric determination of total dissolved solids, the samples were ignited over a burner at low red heat until the ash became white. The crucibles were then cooled, weighed, and loss of volatile matter COmpUth. Chemical data Interstitial water was drawn from the hygropsammon zone by means of an aspirator. The tip of the glass SUPply tube was thrust vertically into the sand to a depth of four cm. and slurry drawn into a 150 cc. suction flask, the supernantant fluid being decanted and retained i until 500 to 600 cc. of water had been obtained. To r':. __ .h‘ I. :. .- _ .Ie' :- In“... .~..: _ n'. “anal u... r. "1. -‘El ."4 ':- . 'I... ' 41 several points along a line 50 cm. landward and parallel to the shoreline. Interstitial water sampling began in April and continued to the October collection, the sampling site migrating along the transect index line as the lake level advanced or retreated. In monthly sequence, the sampling points were as follows: +80, +50, +20, zero, -75, -100 and at -100 in October, the shoreline in each case being 50 cm. lakeward except in August, September, and October when it was 200 cm., 75 cm., and 150 cm. distant respectively. In August, September, and October no water could be obtained directly from the sand with the aspirator. A sump 10 to 20 cm. deep was dug at the sample point and the water collecting therein withdrawn with the aspirator. Lake water samples were taken by surface dipping 0f one liter of water along the transect index line offshore approximately five meters. Dissolved oxygen in lake and interstitial water ‘ was determined using the Alsterberg modification of the 1 Winkler method as described in W Md; f_o_1_~ r Examination o_f Ina—ta; _a_n_d_ w_aiLe ‘Jd_at_e_r (1960). Titration ‘ with .025N phenylarsene oxide was conducted in the labora- tory, preliminary steps being performed in the field. is re use 1' r:- :utli r 211 as 1252: in“. - em": 21:: 5-1! 42 Dissolved carbon dioxide determinations for lake water were made in the field according to the titrimetric method outlined in Water Analysis Procedures, Cat.’ #8 (Hach Chemical 00.). A 200 ml. sample was utilized for lake water determinations. Inasmuch as high turbidity of interstitial water made colorimetric and titrimetric methods subject to considerable error because of difficulty in detection of end points, the method presented in Theroux it Q. (1943) was utilized. CompariSOn of monthly data with those obtained by use of the carbon dioxide nomographic method as presented in Standard Methods (22. fl') gave results with less than 10 per cent difference. It is data obtained by use of the Theroux method that is presented in Table 7. For all chemical determinations other than those for dissolved gases, interstitial water samples were passed through a Millipore filter apparatus utilizing a filter of 0.45 micron apertures. A Bauch and Lomb Spectronic 20 spectrophotometer calibrated for reagents used in Hach procedures was used in all colorimetric determinations. Calibration curves were constructed using standard solutions recommended by Standard Methods (1960). ‘ In the chemical determinations listed below, 1 methods presented in water Analysis Procedures, Cat. #8 (Hack Chemical 80., 1963), were employed using a 8. 8: L. w Spectronic 20 as a colorimeter. 5 7 43 1. Alkalinity 2. Calcium hardness -- Calver II modification of standard EDTA 3. Total hardness -- Monover modification of standard EDTA titration 4. Total ferrous and ferric iron -- 1—10 phenanthroline colorimetry 5. Nitrate nitrogen -- Brucine calorimetry as recommended in Vol. 7 Water Analysis Procedures (Hach Chemical Co.) 6. Nitrite nitrogen -- NitriVer modification of sulfanilic-l-napthylamine colorimetry 7. Orthophosphate -- stannous chloride calorimetry 8. Silica -- sodium sulfite reduction calorimetry 9. Sulfate -- barium sulfate turbidimetric method The pH of lake water and beach interstitial water wascbtermined through utilization of a Beckman 180 portable pH meter. From November through to May the pH Ofthe sand at 25 cm. intervals along the transect index lineums obtained by inserting the tip of the electrode Prmm into the sand to a depth of one cm. From May to Bummer this method was supplimented by additional field dauaobtained following standard soil pH determination tedmiques. This method involved the mixing in a beaker DfZU cc. of sand from each 25 cm. interval with 20 cc. of distilled water adjusted to pH 7.0 and subsequent deter- mhmtim1of the pH of this slurry by insertion of the pH meter probe. Fur set, a all a. m is: fl] re. In Lillie! II 3-0151 E i“ at L-ii‘ity. .-.‘ ‘- . "—9.21 5‘3‘ 44 For correlation with pH determinations along the transect, alkalinity determinations were also made at each 25 cm; interval. On each collection date, a plastic vial was filled with sand from each station and tightly capped. In the laboratory 5 gm. aliquots were added to distilled water previously adjusted to zero alkalinity and alkalinity of the sample determined following procedures used in determination of interstitial and lake water alkalinity. The remainder of each sample was oven dried and alkalinity determinations conducted as above. Biological data 3 Qualitative phytoplankton lake samples were taken with a No. 20 bolting silk plankton net from a point approximately 10 meters offshore from the beach transect. Twelve liters of water for quantitative plankton study were dipped from the same point prior to qualitative sampling. For subsequent quantitative study, an aspirator tube provided with a four-ply filter of No. 20 bolting silk at the inlet was used to concentrate two liter aliquots to 500 cc. Each 500 cc. concentrate was then reduced to 10 cc. volume by means of filtration through a 0.45u Millipore filter. One 20 cc. qualitative sand sample was taken each CUllection date from the upper three cm. of beach sand at each 25 cm. interval along the transect index line. R8 was the case with quantitative sand samples, sampling '; 45 samples being taken 10 cm. east of the index line, January samples 10 cm. west of the line, February samples on the line, etc., so that three months elapsed between successiVe samples at the same site. A copper tube of 1.25 cm. internal diameter was inserted two cm. into the sand to obtain a 2;4 cc. quan- titative psammon sample. By inserting a sheet metal strip at the lower end of the tube, the tube and undis- turbed sand core within could be withdrawn from the beach. The core was then transferred directly to a six dram vial by flooding the tube interior with distilled water over a glass funnel directed into the vial. Three quantitative samples were taken each collection date at each 25 cm. interval. All lake and beach quantitative samples were preserved in the field with FAA solution as were all but one lake qualitative plankton sample. A 10 cc. aliquot 0? each 20 cc. qualitative sand sample was preserved in FAA within 24 hours after collection, the remaining Portion of each being placed in a 250 cc. Erlenmeyer Flask which had been previously autoclaved with its contents 0? 100 cc. of 50 per cent Knop‘s solution. These cultures were incubated at approximately 20°C. under fluorescent illumination of 200 to 400 f.c. for a maximum of six munths, after which time the culture was preserved in FAA salution. Twenty cc. of lake qualitative plankton samples I. “ u "I . y. ..‘ ."I. I“. 46 cultures were examined periodically during taxonomic ‘ investigations.‘ Separation of the algae from the preserved quali- tative and quantitative sand samples was accomplished following the method recommended by Standard Methods (1960) in describing the Sedgwich-Rafter sand filtration procedure. Thorough mixing of the sand included three minutes of stirring with a fine stream of compressed air delivered through a one ml. pipette. The three minutes of stirring were divided into six 30 second periods and six decanta- tions. The approximately 250 cc. of water and suspended material obtained by repeated stirring and decanting of the diluted 2.4 cc. sand sample were filtered through a 0;45u Millipore filter, and the residue brought up to a standard 5 cc. volume in 10 per cent FAA solution. This standard 5 cc. volume was diluted when above average quantities of detritus and silt were encountered. Quantitative counts of plankton algae were made using the Drop-Sedimentation method as given in Standard Mods (i_t1i_d_.). Quantitative counts of lake plankton were made at 675x, all algae present in 1/7 cc. aliquots 0f 10 cc. concentrates of the standard two liter samples being counted under 25 cm2. cover slips. Three mounts were made for each sampling date, the results averaged, and the data for the average 1/7 cc. aliquot extrapolated to number per liter. 1\ ,— , 47 For each quantitative psammon sample, 1/7 cc. aliquots of the 5 cc. concentrates were mounted under 25 cm2. coverslips and counts made at 675x. Each count involved counts of all organisms present in the 1/7 cc. sliquot.‘ The resultant counts for each of the three quantitative samples taken monthly at each interval were then averaged and the mean number per 1/7 cc. aliquot extrapolated to number per cc. of sand sample. Construction of quantitative and qualitative lists for lake plankton and psammon intervals on each collection date involved preparation of permanent slides of acid-cleaned diatom cemponents of the microflora. CHAPTER \I RESULTS General information Prior to the Duck Lake beach transect investiga— tion, a previous transect study of the psammonflora of a beach on Big Portage Lake, Jackson County, Michigan, was prematurely terminated after six months because of disap- pearance of the beach transect as a result of ice mOVe- ments. In the Duck Lake study, twelve series of col- lections were made at approximately monthly intervals during the 12-month period of investigation initiated on November 7, 1963, and terminated on October 11, 1964. See Diggiption of 921°" transect for description of meteorological and climatological conditions occurring during the investigation period. See also Chapter IV for methods utilized in obtaining physical-chemical and biological data for the beach transect and adjacent lake at each monthly collection. Although core collections were made at each 25 cm. of exposed beach from shoreline to the +350 cm. sampling station, in this paper biological data is presented for only the lake and the +300, +200, +100: and +25 cm. beach transect intervals. 48 49 Granulometric characteristics of the transect substrate Table 4 presents a summation of determinations of grain dimension percentage composition in incinerated sand samples as based upon retention by U.S. sieve series. With the exception of samples collected at the +25 cm. mark, samples collected at each of the 25 cm. intervals along the transect were composed primarily of sand granules lying in the range of .25 to .10 mm. maximum dimension. Such a distribution as evidenced in Table 4 would categorize the beach studied as fine sand with reference to criteria selected by the American Bureau of Soils and the International Soils Association. Harmonic mean grain size diameter (Mavis and Tsung-Pei, 1939) ranged from .148 mm. at the +300 cm. Mark to .085 mm. at the -75 cm. mark with a harmonic mean of .109 mm. for grouped samples run independently (Table 5). The arithmetic mean of the individual harmonic means was .115 mm. Thus on the basis of criteria selected by the American Bureau of Soils (Russell, 1949), the harmonic mean grain diameter determinations would indicate that the substrate of the transect as a whole COUld be characterized as fine sand, stations +25, -50 and -75 cm. as Very fine sand. Ef‘l’ective grain siZe, defined by Hazen as the grain dimension of a soil sample less than that of 90 per cent of the sample and more than 10 per cent of it r. 7.51:“. ,‘ 50 .‘~-.ABLE 4.--Percentage composition 150 gm. incinerated beach -i‘ansect sand samples by dimension based on U.S. sieve series For intervals -100 to +300 cm. Per cent of total sample larger larger larger larger larger larger smaller Station than than than than than than than 2.36mm. .991mm. .495mm. .246mm. .104mm. .048mm. .048mm. +388 1.57 4.98 15.88 29.27 43.89 3.78 8.81 +275 .58 9.88 13.15 22.84 45.79 7.89 8.88 +258 2.29 5.45 12.32 28.58 45.85 7.85 8.48 +225 .48 1.89 9.45 35.88 48.83 8.48 8.83 +288 1.89 1.27 13.18 21.93 51.48 18.38 8.22 +175 1.78 3.18 8.88 23.17 52.51 9.95 8.84 +158 2.22 3.33 8.85 18.45 51.82 14.28 1.25 +125 7.59 4.51 18.38 19.81 44.88 12.72 1.12 +188 2.59 4.17 7.58 19.17 58.88 14.79 1.11 +75 4.39 4.49 8.79 28.81 49.98 11.11 8.88 +50 4.88 4.79 18.58 18.78 47.11 12.83 1.31 +25 1.87 2.22 5.88 14.48 32.85 41.38 2.38 0 1.72 2.48 15.93 13.88 52.23 14.48 8.21 -25 8.77 1.28 12.77 18.77 52.75 13.57 8.18 '50 2.81 1.74 5.87 15.55 53.98 18.99 1.88 ~75 8.48 8.89 18.54 7.82 37.87 38.78 8.71 ”on 0-04 0.34 18.37 8.15 59.88 14.87 0.38 Arith- M mgfic 2.13 3.33 11.39 19.49 48.12 14.80 0-74 Ban E 5.--Granulometric 51 u data for beach transect intervals -100 +300 cm. harmonic tJniForm. wt. HOH volumet. unit mean D60 D10 coeffic. at sat. porosity weight grain D/60/D10 as 7. as o in dia.inmm. _ gm/cc. +388 .148 .315 .114 2.75 21.2 41.3 1.58- +275 .137 .298 .118 2.84 21.8 42.5 1.52 +258 .134 .283 .118 2.57 22.9 44.1 1.45 +225 .132 .283 .123 2.13 21.4 43.8 1.88 +288 .119 .243 .184 2.33 22.3 43.7 1.43 +175 .119 .235 .182 2.38 23.3 44.3 1.55 +158 .118 .221 .888 2.51 23.5 47.2 1.45 +125 .123 .288 .895 2.74 24.4 48.4 1.35 +100 .110 .215 .898 2.39 24.3 48.3 1.28 +75 +120 .237 .188 2.37 28.8 48.5 1.31 +58 .119 .243 .891 2.87 25.8 45.9 1.23 +25 .879 .158 .878 2.14 23.9 43.5 1.38 0 .111 .‘289 .891 2.38 27.2 58.8 1.35 ‘25 .118 .218 .898 2.33 23.8 45.8 1.51 '5” ~096 .175 .874 2.35 23.8 58.3 1.69 I ~75 .885 .184 .881 2.89 24.8 48.7 1.48 ‘100 .184 .158 .884 1.98 35.8 82.8 1.18 NM Total .894 2.43 24.4 45.8 1.43 mean .115 .223 \ 52 (Hough, 1957), as determined From individual grain size accumulation curves For incinerated sand From each 25 cm. interval along the transect ranged From .123 mm. at +225 cm. to .061 mm. at the -75 cm. mark. The mean comput- ed FrOm the individual ef‘f‘ective grain size at each 25 cm. interval was .094 mm. Such Figures are comparable to those reported by Hough For clean Fine river sand. An overall tendency For eFFective grain size to increase with distance From shoreline was apparent. UniFormity coeFFicients, def‘ined by Hazen (in Hough, Egg.) as the ratio between the grain size Finer than 40 per cent 0F the material and the grain siza Finer than 90 per cent 01“ the material, 01" 150 gm. incinerated samples 0F sand collected at each 25 cm. interval along the transect ranged Frorn 2.76 at the +300 cm. mark to 1.90 at the -100 cm. mark. The mean cemputed From individual uniformity coef‘Ficients was 2.43. A grain size accumulation curve (Figure 4) constructed on the basis of arithmetic means oF individual stations percentage composition Figures gave an overall uniformity coeFFicient oF 2.70 For the transect substrate. Such Figures are similar to those reported by Hough (En—d.) f‘Or Fine or Ottawa send (a commercially processed silica sand with a uniformity coeFFicient of‘ 1.1). Hough re- Ported uniformity coeFFicients For Ottawa sand, clean Fine sand, and silty sand 01" 1.1, 4 to 6, and 15 to 300 respec- tively. Ordinary beach sands he reports as having a .c>u:u ccfipmuonm mem cwmnm meademe ommndaul.e .mwu .ee or.o coca mmmH Lo encaseman be: mmauapumu oucnumnan no ucou and am .maocs a me pounced» esp use «was» enemas beam .55 CH nonmemwo mHUHunma mo. 0Q 5Q mQ mq r. N. m. c. m. m. e. w. W o.w . l . . 4 .. . . 11 0 Dr ON on on em JBUIJ queo 18d em or om 1 51!. MI item .1581 I 2‘.” iii! 73:23} 2‘. 11 -' .31: Lilian l". . 54 tiniformity coefficient ranging From 2.0 to 6.0. A uniformity coefficient of 1.0 indicates homogeneity of grain size in the sample. A uniformity coefficient of more than 1.0 indicates relative heterogereity of grain size. Reference to Table 5 indicates no significant difference in homogeneity of the substrate at each 25 cm. interval except For station -100. At the -100 interval grain dimension exhibited a conspicuous tendency toward uniformity as compared to that exhibited by grain dimen- sion at the +300 interval. Thus it would appear that in general, for the beach studied in this investigation, dimension of interstitial spaces between sand grains would be more uniform the closer samples are taken toward the normal shoreline, becoming more irregular the Further landward. 1 I Factors responsible For grain dimension sorting upon the beach apparently produce a relatively homogeneous distribution within samples collected at each regular interval along the transect, although the harmonic mean Grain size diameter and effective diameter increase gradually with distance from normal shoreline. Thus a relatively invariable uniFormity coefficient accompanied by increasing harmonic mean grain size diameter and effective grain size landwards indicated an overall tendency for all grain diameters to increase with distance i from the beach. 1‘ The amount of water present in non-incinerated saMPlos at saturation and expressed as percentage of wet ‘l— 27 ,7 2 55 gross weight ranged from 21.2 per cent at the +300 cm. mark to 35.0 per cent at the ~100 cm. mark. Mean value for determinations made at 25 cm. intervals along the transect was 24.4 per cent, a value approached most frequently at the mid-point of the transect. Sand samples taken at those int-Wale closest to the normal shoreline showed a greater water retention capacity than those located further inland. Maximum water holding capacity for quartz sand has been reported by Hough (ibid.) as 28.3 per cent, for 4/5 sand and 1/5 peat as 47.8 per cent, ‘ I and for 1/2 sand and 1/2 peat as 89.1 per cent. i I. In general water retention capacity of samples taken along the transect paralleled closely the porosity 0f the sand samples as determined volumetrically. Lowest volumetric porosity was indicated at the +300 cm. mark, highest at the -100 cm. mark, the values being 41.3 and 52.6 per cent respectively (Table 5). A tendency for Porosity to increase from most landward point to most lakeward point along the transect was apparent. Mean Porosity along the transect was 46.8 per cent, roughly that of silty sand as reported by Hough (ibid.). Accord- ing to Savor (1959), porosities in the ranges reported above are characteristic of silt and clay and are far in excess of values characteristic of fine sand, which Bauer indicates as 35 per cent. Density or volume weight for sand samples col- lected at 25 cm. intervals along the transect ranged ‘ 56 1.10 g/cc. at the -100 cm. mark to 1.69 g/cc. at -50 cm. mark. In general there was a tendency For '.;B'lume weight to increase the Further the sampling point was located away From the shoreline. Mean volume weight for massed samples was 1.43 g/cc. Beach physical data Following procedures outlined in Chapter IV, two series of‘ positive Film exposures were made in full sunlight at horizontal depths beneath the beach surface of 0.5, 1.0, 2.0, and 3.0 cm. The two series of exposures were conducted at the zero, +150, and +300 cm. intervals along the transect. Not one of’ the six plates exposed at 3.0 cm. depths exhibited any evidence of" fogging, nor was any evidence of‘ light penetration visible on any of the six plates exposed at 2.0 cm. depth. Una each of’ the two exposures made at 1.0 cm. depth at the zero, +150, and +300 cm. intervals showed some evidence of faint fogging, apparently in each case around a pebble 01' small stone embedded in the one cm. of‘ sand above the plate. All six plates exposed at depths of 0.5 cm. below the beach surface showed evidence of‘ slight Fogging distributed in irregular random patches over the plate surfaces. 0n the basis of‘ this rather limited investiga- tion it would appear that effective light penetration into the beach sand was semewhat less than 0.5 cm. With some random penetration in heterogeneous deposits to maximum depths of‘ one centimeter. Thus it might be .; a In! I finlnat! I-‘h m1 41‘? thl Emu ham .~‘~‘1 is "43131 11: a! 57 r ofs-tu1ated that photolithotrophs would be concentrated “in the top 0.5 cm. of sand with perhaps a Few stragglers active at depths of up to 1.0 cm. Table 6 presents the record of‘ temperature determinations made at the transect site during the twelve- month period of sampling. Air temperatures encountered during the study ranged From a high of 27.0%. at the September collection to a low of 0.508. in January. Temperature differentials between air temperature at ground level and breast height level at the +50 cm. interVal did not exceed 4°C., the maximum differential occurring at the June collection. Generally air tempera- tures at ground level were somewhat lower than those at breast height except For the months of‘ July and August. l The relatively f‘ew temperature data negate attempts to identify evidence of orderly relationship between air temperature at breast height and ground level, surface water temperature, bottom temperature, and hygropsammon zone temperature at the sampling positiOn. Temperatures recorded at sampling stations along the beach transect ranged From U.0°C. recorded at all stations in January and February to 35.00C. at the +275 cm. mark in September. Here too a paucity of‘ data precludes detailed observations concerning relationships of‘ tempera- tures along the transect with those of‘ the overlying air and the neighboring lake. However, reference to Table 6 reveals a strong tendency For temperatures of {L I ‘III!’ n3. -9... uhl|.l| I09.“ I . ul' “Ill “I'll“ . 58 0.0 0.0 0.0 0.0 0.N 0.0 0.0 0.0 0.0 0.0 0.0 0.0 Hmfluceuemmwu Haweueu uoemcmuh mi. 0.3 0.2 2:. as: 93 méw ms. 0.0? 0.0m 0.00 0.0m 00: 0.09 0.0m 0.00 0.5m 0m: 0.ea uceoum .pum 0.Nr 0.5N 0.QN 0.0m 0.NN 0.0N 0.0e 0.0 0.0 0.0 0.0 0.09 usage: ummeun .uae .uoo .aem .m:< adon econ >02 .nu< .nmz .nmu .cen .oeo .>02 .00 CH mmn:¥manEmv uommcmap DEN wwa >H£ucosllow UJmCF 59 the meet lakeward stations to approximate within three at degrees C. that of the lake surface, with those most landward approximating within three degrees [2. breast height air temperature. Only in July, August, and September did temperature at the most landward point markedly differ from that of air temperature, being respectively 6.5, 7.5, and 7.5 CO. higher on those monthly collections. Temperature variation between the most lakeward and the most landward stations on the transect ranged from zero in January, February, and March to maxima of 6.000. and 5.505. in April and September respec- tivaly. Temperature variation along the transect tended to be lowest during the winter months and greatest in spring and fall. Observations of the "black layer" could not be made in December, January, February, and March because 0? the frozen condition of‘ the beach. There was no evidence of’ a black layer beneath the beach surface to a depth of 20 cm.’ in November, April, May, or June. By July, however, a lens-shaped black layer about 2 cm. in maximum thickness was found seven to eight centimeters below the surface and extending From the -30 to the -30 cm. interval along the transect. Another ill-defined lens-shaped black layer about one cm. in maximum thicanSS was also observed in July extending From the +30 to the +125 cm. interval about two centimeters below the surface. In August, on the opposite side of the transect, no black 'zm es :“fi 1an - r'es h pi: at t I 7:: as 'ms it: but :21 Lilia ‘ 60 layer was observed except For small patches about two cm. thick lying at depths of three centimeters below the surface between the +20 and the +70 cm. interval and again at the -20 to the ~75 cm. interval. In September there was again no continuous black layer. Isolated lenses three to five cm. long and one to two cm. thick lay at depths from one to eight cm. below the surface from the +30 to the +70 cm. marks. Beginning at the -50 cm. interval and six to eight cm. below the surface, a narrow black layer two cm. thick ran parallel to the surface out to ~17S cm., the shoreline on that date. In October no black layer was evident except from the -50 cm. interval to the -250 cm. shoreline. A layer two to three cm. thick extended from -50 to ~15!) cm. parallel to the surface and about six cm. below it. At the ~150 cm. interval the band abruptly widened to the bottom of the trench. An uninterrupted layer thus extended from the ~150 cm. to the -250 cm. mark with an upper margin parallel to and about six cm. below the surface and extending downward to a depth of‘ at least 20 cm. Figure 5 presents diagrammatically the extent of’ the black layer during those months it was observed. I Table 7 presents results of‘ determinations of‘ percentage water content on a gross wet weight basis for each of the 2'5 cm. intervals along the transect from November through October. Percentage water content ranged f‘rOm a low of‘ 0.01 per cent on August 6 at the .em>emmao mnucoe oceans cowuonwupmwu :ee>eH xoean= to ccwpmecmmmeuep uwpmeewemmwauu.m .mwe .60 CH scafleeocm genee>oz scum eocmpwwo r+ amN- com- om»- oo+| am. a. omw o.e+ am am: 1 1 d d I “9.3330 yarn .Eu as seams \IIl mommunm own cmneeeumm .9... :5 w 1 lug! ll. CH Leann “ 6 eommunm ow: umamoq jaw. .50 I. ll " II' a, r..." £¥QNU somehow ON! ’ >1; .Drl .Eu ce reams DOMLHDm re--.)- lana In.-.“ enei.< \aued‘J '.\-.. “ll. . . - H. HM....JI........|I.. .h 34.”. I-II- - . . - II-\lll|e-I I...- .-\ 62 xme a rN.Nr Ne.r mc.o vo.o Nm.r an.m om.m em.rv em.Nr mm.oe «N.mr mc.c mc‘NN fiMHIW em.rN ro.NN mm..Fr mm.mr qw.qm cm.mv om: mmcmw mm.mr ow.mr mv.vr mv.mw va rn.nr mm.< mo.nr mh.m mm.mw mp.wN xoucm hm.em n>.ow oo.mr oq.m mm.hr 0N.nN mm.oN hr.mw mm.Nn wo.m< «m.nm or.mv oq..mw vv.m wv.u no.5r Nm.mr or.br um.mr mb.mr oq.mr mh.vw mm.mN mm.Qw m>+ om.0r Nn.N nb.m on.rr vN.eF om.wr hm.oN om.«N ao.om om.nr mh.0e NN.NV «Q.Mr oce+ wo.nr «b.v mv.< on.m rh.0r oo.me mm.mr DN.ON vv.wv no.5r oo.mr o@.Qv Ne.nv va+ mr.rr ow.n mm.r mv.o mu.o« Nb.nr mm.mr mm.mr br.mr mN.©r mm.er m>.h em.mr omr+ oc.or mm.c wh.® eN.r Nm.< oc.rr mm.Qv on.>r cm.me mm.mr em.rr rm.m mq.Nr mer+ mv.h nr.o mm.o Nw.c <5.q mm.w Nr.m wq.mr «0.0w mv.Nv r<. «n.w mm.w mNN+ oo.m mn.o «v.0 ro.o VN.D mncr on.r Nr.m Fr.v v0.v Nr.m mm.o am.m oom+ cows .uoo .anm .m:< >H3n econ zws .ua< .noa .nmd .cwn .ooo .>oz mwoma vzmflms mwonm $03 to Hu>Hmucd .EU mm some on mmHQENm Dcwm >H£¥COE L0 cowuflwoquo knee; mmwuceuunnlloe w4m08 .na< .nwE .nou .cnfi .uno .>oz . co HU>HI¥¢H >uaounao wanna: .20 mm come an 0 Hum Lo 9:00 men we nonmagnxo mfimun ucmwoa v.3 Danica vcun hncvcoE to 0coacou ulvoa omuvtlunnnllnm uqmH31 econ >mz .nn< .ooE .neu .con .ooo .>oz >H£¢COE Hfl>hlfl£d vooucuuu some an manna vzmwoa mmoum xuu co uovvoE 0HH96H0> omoucoonmull.m UJm<5 ~--...-,‘ 69 substrate was frozen. Considered on the basis of the twelve-month mean, the minimum percentage volatile content of the substrate approximated 20.7 per cent of‘ the maximum percentage volatile content of’ the transect substrate. Reference to Figure 6 reveals considerable simi- larity in twelve month means of‘ per cent volatile material and per cent water at each interval along the transect. It should be noted that means of intervals zero to ~75 are for only four series of‘ collections. Readings from the +300 interval to the +175 cm. interval show distinct correlation between means of’ volatile material content and that of“ water. From the +175 cm. interval lakeward, the marked variation between the two Factors considered is probably attributable to the increasing proximity of the transect intervals to the phreatic level and the lake itself (see Fig. 3). Reference to Table 7 indicates an abrupt marked decrease in percentage water composition From the +150 to +200 cm. intervals from November through July, those months during which the shoreline lay approxi- mately at the zero index point. Reference to Table 5 shows no abrupt change in volumetric porosity, unit weight, or uniformity coef‘f‘icient at any point along the transect except at the ~75 to -100 cm. intervals. It should be noted that the harmonic mean grain diameter and effective grain 3129 do change rapidly in the +175 to +225 cm. portion of the transect. However, the data For the critical Factor of‘ volumetric porosity do not | II.I 1"... .mwmmo “Lawns o momucmoomu nmuume mama mmcom son c mmonm no; no acupcoo poems emmpcmouoa Dom memn a: . 0 0H amuu:u.m .mwu onwaoao> nouns nucoe e>Hm3p me>ooucw poomcmnu Lo comfiumoeo .c . m. n m L m w a. v m . popes omopcmouwa....... M f m. . m . uouume oawumao> umopcmouma . _ _ o m a) n m 70 asqem oboqusoasd mr. ieqqew atrqeton abeqUBOJBd DN. mNL on. mm we: own mN: o. mw mw mp owr mwr OWw ewe owN mwm owe mew ocn .1“! the ex ' when 3.: intend rehash a iszh inte :msity 3-.- 1 .n a. '1‘: 175 :‘ 3"“:4‘ -. " - ...i ‘- 71 teal the explanation on a granulometric basis For the _ regularities in water retention by the substrate at [ those intervals landward From the +175 cm. interVal. A hypothesis might be made that percentage water content at each interval along the transect is directly related to porosity and distance From the shoreline and/or phreatic surface up to a certain critical distance, in this case about 175 cm., and beyond the critical distance it becomes secondarily related to amount oF organic matter present. Beach chemical data Table 10 presents the results or” monthly pH determinations of‘ lake and interstitial water as well as in'situ determinations of‘ pH at each 25 cm. interval along the transect. From Nevember through May all pH readings were made by inserting the probe of” a Beckman portable pH meter directly into the water sample or the substrate at each 25 cm. interval. From June through October, the method was supplemented at each interval along the transect by standard soil pH determinations (see Chapter IV, Methods and Materials). The abrupt and marked drying of‘ the transect substrate landward From the +150 cm. interval in May necessitated modification of‘ pH determination techniques in that readings made with the probe obviously were inaccurate. Laboratory tests suggested the use of‘ probe alone was not an accurate index of pH when percentage l— Mfiflr ‘ a a ..— MU>HD¢CH Hoaocwuu oEU mN comm um ovwhuonam use no ucu .uaaua Huuuquonuucu .uouua ome L0 :a no mcowamcfleuouon >Hnucoanl.or uqmqh , .nmmmmmmwawmflflw mm $ mum .0garwwmumwammmmmmmwwfimm 2- T. x x t . . mhm mhw mhm mhw mum xmm cm:Mn:p mmm50>wz momflummu Ham "mac: mN: E m Tm m...» mum m6 «5 q; a; «J. 0.5 a; xeufi x Tm Wm. m...» m 05 3w 0.5 mg mg. pg 05 mm. mm.» mum mum. mam mim qé 9m ms. 2 m; “up 9.. 3.. WWW .me wim mum miw. «.m N.m as. o; 0.... m; 05 m? mu.» Tm WW» Wm mun.» Aim m; mg mg. ix. 5; a; 8? H W1» m I E E N6 m; in m; 0;. mi. 95 mm: n H Wm m E m N5 as. «.5 q; a... a; 0.5 am: 7 m.m a? «.5 Wm mdm «6 ed N; V; pg. 0; 0.5 mm: W E m...» mu.» E Tm as im N; N; a; a... w; 98.. 7 WWW Wu» WWW i warm 9m 05 N§ n; a.» m; m; mNN+ W m wk. WWW E m N6 m; N.“ n; 0.... mg. m; BN+ , mum pup «up 0.5 m.p o.m m.~ N.F n.u m.p m.” a.” mpw. ma.» W1» m5 mun.» m 05 m; N; m; a; m; a; 8n. 7 5:. mg. 05 m6 ms. o.m n5 . . . . .. .. .. Hmfimmwmnpfi ¢.m q.m m.u m.m m.m m.m n.m v.5 o.n «.5 n.m «.0 ammumam .vuo calm .m:< xuad 0:31 >0: oua< cums .nou .cwfi .000 .>02 7 . 1 . nut-mug ham 1 ”My sin Mum n male “button: Maud I T'eElI 1 F 73 titer-content in the substrate fell below 10.0 per cent. zaomparieon of data in Table 10 with those of Table 7 shows Etlosely similar results between the two pH determination techniques utilized until percentage water-content of the sample falls below 10.0 per cent. Therefore, con- siderations of pH readings made from June through October “‘0 based upon the lower segment of dual numbers reported on Table 10. Lake surface water pH immediately offshore From the transect ranged From 7.2 recorded under seven inches of ice on January 4 to 9.5 recorded on June 6, 1964. Median pH during the twelve-month period was 8.4 with a twelve-month range of" 2.3 pH units. In general lake water pH most nearly approached neutrality during the winter months and became most alkaline in spring and early summer (Fig. 7). Reference to Table 10 reveals that interstitial water withdrawn from the beach with an napirator or from a collection sump ranged in pH from 6.8 recorded on July 6 to 8.3 recorded on April 6. Refer- ence to Figure 7 reveals that pH of‘ the interstitial water tended to be considerably more acidic than that of the lake offshore. A tendency is also indicated For an inverse relationship between lake and interstitial water PH. The two most alkaline readings f‘or lake water, For instance, occurred on dates when pH of‘ interstitial water was most acidic. —-——- lake water --- - — —- interstitial water 7.0. s \ \I 608 J I A l I A I ‘1 L 1 Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sep. Oct, . Fig. 7.--.‘Ylonthly variation in pH of‘ lake and interstitial water. a: record; ‘1! #15 CI; it en. ii in Will eerily 75 £3? The pH of intervals along the transect ranged from ,; 8.6 recorded at the Zero interval in May and June and the +25 cm. in May to 7.0 recorded in October at- the +125 cm. interval and in March at the +25 cm. interval. From November through April pH range along the transect ordinarily did not exceed a value of 0.4 units. Ranges in other months were considerably greater, becoming 1.0 or more pH units in June, July, September, and October. - In all months but February and March the pH shifted toward the acidic side a10ng the transect with distance landward from the shoreline. In February and March the pH became slightly more alkaline at the most landward portion of the transect with reference to those intervals closest to the lake. It should be noted that it was in January, February, and March that lake pH was closest to neutrality. Comparison of Figure 7 with Table 10 reveals that monthly shifts in pH of lake water tended to be mirrored by similar shifts in any given interval along the transect. Relatively acidic conditions of lake water developing January through March also occurred at all intervals, winter minimum pH being last realized, as a generalization, by those intervals most distant from the shore. The November through March shift toward neutrality in lake pH was paralleled most closely by that of the index location interval. All intervals exhibited a rapid Shift toward alkaline conditions following warming . cities it: '11:". ' filial Ia1 ' Ely fall Liter Ia he and i 76 u 'tunstitial water was not mirrored by any interval. The early fall increase in pH and subsequent decrease in October was exhibited by all intervals as well as by lake and interstitial water. Results of both methods of alkalinity determina- tions (see Chapter IV, Methods and Materials) used on samples of‘ sand taken monthly From each 25 cm. interval along the transect showed no significant nor consistent variation. Figures given in Table 11 are thus means of“ Values of‘ both methods rounded off‘ to the nearest whole number. Although only bicarbonate alkalinity was indi- cated as present in samples of‘ transect substrate through- out the study on the basis of‘ alkalinity determination techniques used, on several occasions pH exceeded 8.3. Obviously, therefore, alkalinity determinations made Upon the substrate are suspect. Figures presented on Table 11 are For comparison purposes only even though they are reported as bicarbonate alkalinity as ppm. (law?) for Five grams of‘ sand. Reference to Table 11 indicates that on any given collection date alkalinity tended to decrease markedly with distance f‘rom shoreline, often by a f‘actor as great as 14 but usually on the order of Five times, the greatest differences occurring in the summer months. Since alkalinity is ordinarily produced by the presence of the 77 {i NN mN mN m N am- NN mN eN mN Ne mN- ON ON we Ne xmncw me 0N «N «e me am mN+ NN De ON De m ee a se on me am om+ me a Ne De 0 me e m «e sN mN Nm qr NM mb+ m a Ge ee a NN a a we mN D. De. me a a De De 0e ON a De DN me «N w. o B V... we a m ee De De we De Ne NN m mN w. mN S ee 0 m a a we se m a me De mN m. ome+ U ee 0 a a a De Ne Ne Ne ae De mN a mee+ m e s o m N De we a Ne w NN DQN+ m e e s e s De e 0e a e NN mNN+ m N N N e e 0e De se De 0e ON omN+ e N N m e s m Ne w m «e we mNN+ m N N N n s m m m a De ee oan+ can: .eoo .nmm omn< Adan moan >oE .uo< .Qms .omu .cmn .uoo .>oz Hflmmcunv SWAN HN>M¢HCH .Eu mN comm tacos non noumu .an mm avflcHmeHo mumcoonmunmll.rr Udmth ‘ Merlin - 1.9.1: sun wast tl {mic a‘ fit"? an i‘i:h can 78 salts of weak acids, it is not known whether the determina- tions recorded on Table 11 are reflections of‘ the amount of bicarbonates or rather of‘ silicates, humic salts, etc. It is surmized the high organic content of‘ the intervals nearest the shoreline contributed considerable amounts of‘ organic acids. Because of the large number of unmeasured variables which produce alkalinity, perhaps the only conclusion which can be drawn validly From Table 11 is that organisms present in the interstitial water of" more landward por- Pertions of the transect were more subject to pH varia- tiOns than those in the more shoreward portion, the higher alkalinity acting as a buffer to pH Variation. Table 12 presents the results of chemical deter- minations made upon water samples withdrawn just below the lake surface approximately f‘ive meters of‘f‘shore of the shoreline each collection period. Table 13 presents the results of‘ chemical determinations made upon samples 01’ interstitial water withdrawn monthly April thI‘OUQh UCtober from the hygropsammon zone of the transect. Dissolved carbon dioxide content in lake water ranged t"I‘Om a high of‘ 18.0 ppm. on January 4 to a low of‘ 0'0 ppm. recorded in June, July, September, and October. In general dissolved carbon dioxide tended to be hiQhBSt during the winter months and lowest in summer (”9- 8)' DissolVed carbon dioxide content in interstitial water ranged From a high of‘ 100.0 Ppm. recorded on July 5 to a Li w N.om o.me e.Nm e.sm m.me m.em m.em N.mm m.mm m.oe m.nm m.ee mawwow mmwmmwmwos .N u.eMN m.mae o.eme e.me o.mee N.mm m.mm N.sm e.ms m.ome o.mNe o.eNe meepmwmfimmome.meu _ o.Nem o.onN o.mNe m.ese m.mee N.e0e e.mme e.ee N.me m.mm o.mse o.NoN meewmfiwm «Wes o.o 0.0 o.s o.o 0.0 v.0 N.e m.e o.N o.me o.s m.e .Eaa New .weu o.mae a.em a.me o.mae o.mm a.me o.ma o.mm m.No m.NN o.am 0.0m .eaemm e No m.oe N.N N.m o.m m.N N.m m.ee m.ee N.m m.oe e.me m.e .Eaa No .mea mm Ne w ON mN a we Nm we a a o .Eaa mmummmmuas; Nae as NNe No as em as sN sN ewe aNe see Jena cenmmmcuam; w mme Nne mNe Ne me No Nee EN we owe ewe see .eaa cmmmwmcuam; om mN eN Ne on Nm so as em se me so .Eaa cemMmmcuam: Nae om NNe No as em as eN eN Dee mNe ewe .Eaaemwowxea Ne Ne o mN we sN o o a a me o .Eaa ca .xes moo am mN NNe en o as as «N sN use Nee ewe .Eaa cs .xem moo: e.m e.m m.e m.m m.m m.m n.m s.N m.N N.N n.m s.m In mumcoaw .wwo .mmm .N:< xman omen xms .mo< .mwa .MoL .Non .mmo .noz ee emanate on N. HmnEm>DZ mmHQEwm HOL NHNU HmowEmto henna mxmulloNv Mdmvfi. I’ll. ON.e Om.N Oe.m Om. OO.e Om. .eaa as sueeem O.em O.NN O.NN O.me O.Om O.me .Eaa ce sOm Dec. Dec. moo. So. go. 0ND. .53 CH Hmpop cogs.” Ne.O Oe.O m0.0 Oe.O OO.O Ne.O .EOQ cs .moca-oceeo eOO. NOO. mOO. eOO. OOO. sOO. .Eaa as .Ooasec NOz OmO. mmO. NOO. sOe. ONO. esO. .Eaa ca .Ooesec mO2 m.nNee m.OOm O.Nmm N.eNN O.emN s.eOe H\EOE cs museum .men eases ee .eOO m .amm a .On< O sees a mass O ewe m ON.e mm. ON. mm.e mm. Om. .Eaa ce mueeem O.nN O.Oe O.Oe O.NO O.mN O.me .EOQ Ce eOm ONO. eOO. OeO. OmO. Oee. Oee. .Eaa ce sweep cogs so.O mO.O OO.e mm.e mm.e NN.e .EQO ca .moca-oceeo OeO. aOO. eOO. meO. meO. meO. .EQO cs .Ooasec NOz mmO. snO. nOe. wee. mee. mee. .sOa cs .Ooasec mO2 O.mmN m.mee m.OOe s.ONN N.eeN m.ONn H\EOE cs museum .meu Hmong m ..Hn< m .eme m .33 e .52. m .03 N :62 \ DmDCHHCOUIloNr uqmucoc um>Hommwu O.eOO O.eON N.NOO O.OOO . . . ameee\memquHHeE OH O OOe O eNe O OeN posses meepmHo> Omseommeu O.O O.N O.O O.OOe O.O O.N O.s .EOO Ce NOO Omseommeu O.Ne O.O O.O O.NN O.O O.e O.eO suspecnemm e as NO Om>eommeu O.e N.O O.O e.N O.O O.O s.O .EOO as No um>aowmwu mm m a o a a me .eoe cw mmmcuumc memconumoncoc one we .eau cw mmmcuum; mNN «em Dem man mm m e .eua CH mwmcnemc a owe Hence oar r .Eua cw mm are new mm mm mm wmmcnumc mu One OON NON Oes O e .EOO as eeeceemme o Nee owe a Hopes .Ea ce Neeceemme a o o o a o m mumconumo one .Eoo cw >uwcefimxam . HON Now one moe Nee use mumcooemowa e.e O.N O.O O.O O.N O.O n.O IO er .000 m .umm m .m:< m xaon m moon m >mE m .uo< >HumHEmLU Hmams Hmwuwvmhmucw mcoN CDEEmmoonm>Ill.nH UAmQF 82 O.O O.ON Oqu O.NN O.ON O.NN O.Ne 0O as messmamaems 0.0 O.e s.O Oe.Oe OO.N OO.N Os.N .EOO cs OOHHHO 0.0e 0.0 0.0s O.O O.ON O.ON O.eN .EOO as OOOOOHOO OO0.0 OOO.O eOO.O OeO.O OOe.O OON.O OOO.O ce cwfimaemeoe NN.O O0.0 ON.O Oe.O OO.O OO.O OO.e mpOOmmmzmwcseo OeO. eeO. sNO. NOO. OOO. ONO. OOO. .OOHWWMOOMWaOec eOO. Oee. ONN. OOO. NOO. OOO. Ose. .Ooawwmammwesec O.MMMMMwomOsos ee upon O .amO O .O:< O seas O mans O ems O .uaq noDCHpcoUIl.ne UdmHon econ .unq .ums .nec 0C0“, 00mg .>oz ucm exwa AOL mwecunmz Hmvov Lo momma Hmwuwpmnmucw awesome; eumconpmo com eawoamo moppcmoneaun.er mumqh i end 62.0 I 11!!!ch I‘ its in shunt: 22512 f a: into ital Ha‘ 337nm as: I“ a . ‘- 94 “or! 62.0 ppm. reported on May 6 and June 6 respectively. Reference to Figure 15 reveals closely parallel fluctua- tions in seasonal calcium content to that of‘ total and carbonate hardness but relatively little parallel to com- parable hardness fluctuation in lake water (Fig. 14). For interstitial water, percentage calcium content of‘ total hardness during the seven month period of sampling beginning in April and continuing through October is pre- sented in Table 14. As in lake water, the neglibible amount of Ferrous ions present during this period would indicate magnesium ions were of‘ considerable importance in composition of cation components of total hardness of‘ interstitial water. Carbonate hardness in the waters of Reach A1 OFF- shore of‘ the transect ranged From a high of‘ 136.0 ppm. on January 4 to a low of 24.0 ppm. recorded on both February 6 and March 6. Figure 14 indicates somewhat parallel trends in seasonal variation of carbonate hardness to those of‘ total and calcium hardness. For the twelve-month period of‘ the study, November through October, carbonate recorded as ppm. CaC03 with reference to percentage of‘ total hardness is given in Table 14. Inasmuch as the major anions producing nan-carbonate hardness include sulfates, nitrates, and silicates, it would seem likely that these ions must have been relatively most abundant during those months of‘ February and March when carbonate hardness was lowest. Reference to Figures 19, 22, and 20 2 2 . 2J— 95 however, reveals these ions also were at relative minimum abundance in February and March. In interstitial water, carbonate hardness during the April through October sampling period ranged From a high of‘ 388.8 ppm. on July 6 to a low of‘ 98.0 ppm. re- corded on the sixth of‘ the previous month.‘ For that period, carbonate hardness as percentage of‘ monthly total hardness amounts is presented in Table 14. No obvious explanation For the relatively low October reading is apparent. No correlation of‘ interstitial water carbonate hardness was apparent with that of‘ the water of‘ Reach A1. Negative non-carbonate hardness in the water of Reach A1 was recorded on November 7 and January 4, being 20.0 and 4.0 ppm. respectively. Such a condition occurs when a surplus of‘ bicarbonate ions is available to Satisfy the divalent metallic ions present, thus indicat- ing the association of bicarbonate ions with sodium and PDtassium. Negative non-carbonate hardness also occurred in interstitial water on the sixth of‘ May, June, July, and August, the amount of‘ ppm. being 4.0, 10.0, 82.0, and 22.0 respectively. Alkalinity in both interstitial water and that Of‘ Reach A1 throughout the study was that of" carbonates and bicarbonates, no hydroxide alkalinity being present at any collection date. In water of‘ Reach A1 maximum total alkalinity as ppm. Ca003 was encountered on January 4. Minimum readings were recorded as 24.0 ppm. on 1 I '_ he lintI , muss? Eat 1| ' hilly I! 9359 1'11 in ‘15 :cr 225M , 96 February 6 and March 6. Figure 16 indicates a general u late winter alkalinity minimum, an early spring pulse followed by a mid—summer secondary minimum, and late summer increase in total alkalinity to approximately that of early winter. In the waters of Reach A1 alkalinity was essentially that contributed by bicarbonate ions. Only in the May, June, and July collections did carbonate ions-contribute appreciably to total alkalinity. Maximum carbonate alkalinity coincided with the lowest pH value 0f 9.5 recorded on June 6. Total alkalinity of interstitial water ranged from a maximum of 470.0 ppm. recorded on July 6 con- comitant with the most acidic pH recorded, 6.8, to a minimum total alkalinity of 108.0 ppm. recorded on June 6 (Fig. 17). Only on April 6 was carbonate alkalinity Observed. Aside from the 3.0 ppm. carbonate alkalinity recorded on April 6, all alkalinity in interstitial water was that contributed by bicarbonate ions. Total ferrous and ferric iron in water collected from Reach A1 at each monthly collection date ranged from a high of 0.140 mg./l. on November ‘7 to a low of 0.001 mg./l. occurring on March 6 (Fig. 18). Figure 18 indicates a precipitous decrease in the amount of dis- solved or suspended iron throughout the winter until the disappearance of the ice cover prior to the April 6 col... lection. A spring pulse of total iron content declined in the summer to a secondary low in August followed by 97 ' '150 —— total alkalinity —————— H003 alkalinity e e e o I e e e . ...CDS alkalinity 140- 130- 12m 110. 100 3 CaCU as \D J? E q C) l alkalinity in ppm. Ch 1;? 0'! P am 3% 20. e c O . o. ---n-- .. .4... ..ed 4 . . z: - th Dec. Jan. Feb. Mar. Apr. May June July Aug. Sep. Oct. F . 16.--Total, bicarbonate, and carbonate alkalinity of lake water at monthly collections. ..u n:- \A|- unu- null-n. / 98 500 total alkalinity _ .. - --.— bicarbonate alkalinity Ca003 alkalinity as ppm. :3 Q 4n I L n A A; "Nov. Dec. Jan. Feb. Mar. Apr. NJay Jdne July Aug. Sep. Fig. 17.--Total and bicarbonate alkalinity of interstitial water at monthly collections. partial fall recovery. A somewhat similar spring pulse, summer decline, and fall recovery of total iron content occurred in interstitial water (Fig. 18). Maximum iron content of 0.260 ppm. was recorded on May 6 and minimum content of 0.001 ppm. recorded on August 6. No con- spicuous relationship between total iron and dissolved Oct. oxygen was apparent in either lake or interstitial water. No evidence was visible that the anaerobic condition of the interstitial water on May 6, June 6, August 6, or September 5 promoted increased reduction of ferric iron to the more soluble ferrous form. 99 1.0 .6 ‘ -———-——-—-1ake water ————— interstitial water .06 " a D J—\ L o C) N 4L .01% .008 . .006< total Ferrous and ferric iron in p rn .004] .002& '0n1L\I¥ l I 1 g | I ' 'g‘ ROV- DEC. Jan. Feb. mar. Apr. Nay June JUlY AUG. 395- fitt' f0 Fig. lB.--Total ferrous and ferric iron in pom. r menthly lake and interstitial water samples. m a hi r: 1m ‘ “A111 item '! emu I. 1‘ July _ m1, S‘JIE'J 1 100 Dissolved sulfate as ppm. in lake water ranged —: from a high of 32.0 ppm. recorded on January 4 to a low of 15.0 ppm. on May 6. No seasonal trends were apparent, monthly figures being sporadic in amount (Fig. 19). In interstitial water, dissolved sulfate as ppm. ranged from a high of 45.0 ppm. on October 11 to a low of 3.0 ppm. on July 6. As was the situation in lake water, the monthly amount of dissolved sulfate was sporadic and showed no seasonal trends. Reference to Figure 19 reveals, 100 —————— lake water 30 . ——-——-—- interstitial water 70 60. 01 D l sulfates in ppm. #- C) I \ U A I A L 41 I n A A ‘ Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sep. Oct Fig. 19.--Su1fatss in ppm. for monthly lake water and interstitial water samples. fifths mun -. Agra? 101 ‘fl however, some evidence of somewhat parallel fluctuation of sulfate content in lake and interstitial water in June through October. In the water of Reach A1 during the 12-month period of the study dissolved silica ranged from a high of 3.10 ppm. on August 6 to a low of 0.25 ppm. on February 6. Figure 20 reveals the abundance of dissolved silica was 20.0 A lake water I \\ 100% _— ————— interstitial water / \\ 8.0 0‘ £‘l as" ‘? ¢ M o O A N P Silicates in ppm. .Frfle 06‘ .5 .¢ 03‘ I I J I I ‘ l A I .1 ‘ Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sep. Oct. Fig. 20.--Silicates in ppm. for monthly lake water and interstitial water samples. 1 I . I. Lbrsti‘ I parent cl. . I an i“- turn 102 V regular through the year, three major peaks apparently . occurring in January, April, and August. Each peak was immediately followed by a rather precipitous decline. In interstitial water only one peak in dissolved silica was apparent. The July maximum of 13.10 ppm. was preceded by a rapid increase from the May 6 minimum of 2.00 ppm. and in turn preceded a rapid decline in the fall. Orthophosphate as ppm. in lake water ranged from a December 8 maximum of 1.86 ppm. to a May 6 minimum of 0.42 ppm. Figure 21 indicates the December-Nay decline to be rapid and regular. Following the June increase to 0.30 ppm., dissolved orthophosphate in the water of Reach A1 fluctuated in the vicinity of 0.80 ppm. until termination of the study. Such amounts are far in excess of the 0.003 ppm. mean value of soluble phosphorous reported in 479 lakes in northeastern L'Jisconsin (Juday and Birge, 1931). In interstitial water, orthophosphate ranged from an initial April 6 maximum of 1.00 ppm. to a minimum of 0.18 ppm. recorded on July 6 (Fig. 21). A late ‘ Summer recovery to the September 6 value of 0.36 ppm. preceded another decline at the termination of the study. In the water of Reach A1 nitrate nitrogen ranged ‘ from the initial maximum of 0.116 ppm. on November 7, ‘ December 8, and January 4 to a minimum of 0.020 ppm. \ recorded on June 6. The June minimum was preceded by a secondary march decline and April recovery which was also l g 103 0 0'1 0 U) Orthophosphate in ppm. L I L: l ’ \ lake water - —————— interstitial water ‘1 v ' v I r t I If ‘v ' Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sep. Oct. Fig. 21.--0rthophosphate in ppm. for monthly lake water and interstitial water samples- I errant an 50 to the it Pini dial a bus 104 apparent with nitrite nitrogen quantities during the 12- month study (Fig. 22). Nitrite nitrogen quantity ranged from the November through January maxima of .016 ppm. to the minimum of .000 ppm. recorded on June 6. In inter- stitial water, the nitrate nitrogen maximum was recorded on August 6 at 0.226 ppm. Minimum nitrite nitrogen con- tent was recorded as 0.007 ppm. on July 6. Fluctuations .15 .10 .05 ' 001 . \ 008-, \ v e / \ /\ .006J ‘ \ .005 r \ I \ .0041 '\ I .0034» nitrate \ I \ .. — — — - nitrite \ I \ oOUZ'l' \ I \ less ' \ I than V \ .001 ‘ ' ' ' ' l ' I l [ Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sep. Oct. Fig. 22.-~Inorganic nitrate and nitrite nitrogen in PM. for monthly lake water samples. ! ”l 1 in mm 1 malls! The literature reporting results of chemical 105 lparalleled essentially those in interstitial water (Fig. 23). determinations upon samples of interstitial water From gfin nitrite and nitrate nitrogen quantities in lake water 0.3 0.2 1 .08 ‘ .06- 005 ' 004 ‘ 002 ‘ ppmo .01 J .008i .0061 .004~ .OOZT —— nitrates ————— nitrites J I l l l .001 1L . Fig. 23.--Inorganic nitrate and nitrite nitrogen 1“ me. For monthly interstitial water samples. Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sep. Oct 1 Ten am !_ '.a has I 3‘55 sani Lari-2e. eerie“ Hell 106 e psammolittoral zone indicates that, apparently, the Ci assumption has been made by most investigators that the r mater withdrawn is that which surrounds the psammobiota. There appears to be no published report with reFerence to investigations 0F the source 01’ water withdrawn From the sand by means oF the standard aspirator sampling device. IF it is assumed that the hydrological phenonema associated with the cone oF depression developing around a well bore during water withdrawal (NeinZer, 1942) occur as well about an aspirator thrust into the hygro- psammon zone 01“ a sandy beach, then it seems unlikely that the volume of‘ water normally withdrawn From the beach For chemical determinations can all have come From the three or Four centimeters of surFace sand which lies above the lowermost point oF the aspirator probe. Mavis and Tsung-Pei (1939) report that horizontal water movement below the peizometric water level in artiFicial sand-Filled Flumes is substantially constant, but velocity in the capillary Fringe varies with a well- deFined regularity From zero at the top oF the Fringe to the velocity in the piezometric zone at the bottom oF the Fringe. Luthin and Day (1955) Found considerable Capillary Flow oF water laterally above the water table, but their data are not applicable to the withdrawal oF water From the hygropsammon zone. ReFerence to investi- gations oF capillary Flow and water conduction in soils by Moore (1939), Richards, (1931, 1933), Lambe (1951), '- 53::22 a I l'. ‘Mea I u... .“-~ .:A~J 107 ‘Kirkham and Feng (1949), and Remson and Fox (1955) reveals no generalizatiOns which can be made with regard to the source oF the interstitial water withdrawn From the hygropsammon zone sand with an aspirator. In an attempt to determine the origin oF the interstitial water withdrawn From the hygropsammon zone, a number oF experiments were conducted adjacent to the beach transect. ReFerral to publications by Dole (1906), Ambrose (1921), Kaufman and Todd (1955), and KauFman and 0rlob (1956) suggested the use 01“ uranine and/or acridine Orange as tracers in plotting movements oF water in the hygropsammon zone. In the First series 0F tests, conducted in July, the aspirator probe was inserted into the sand to a depth 0F Four centimeters approximately 60 centimeters FrOm the water's edge. Four bores one cm. in diameter and Five cm. deep were then made at radii oF 13.0 cm. From the probe and an additional Four at 25 cm. radii (see Fig. 24). Uranine solution was then poured into all bores until it stabilized at ground level. An aspirator next was utilized to withdraw 250 cc. oF interstitial water over a one-hour period, uranine solution being added when necessary to maintain the solution level in the bores. Finally, a straight edge was drawn across two parallel wooden guides to shave oFF 2.5 cm. layers across the bore Fields until uranine stains were no longer 108 081 .L 0 A1 50 cm. to water's edge .34 .A41 13 C01. - 0A2 . 82 ‘ 25 cm. probe 0 A3 083 Fig. 24.--Diagram oF bore Field utilized in tracing hygropsammon zone interstitial water movement. visible in the sand. This procedure was repeated at three diFFerent sites along the beach. Horizontal sectioning oF the three bore Fields revealed that the mean maximum depth 0F uranine penetra- tion in the bores at 25 cm. radii was 11.5 cm. with a range From 7.5 to 13.0 cm. There was no evidence oF signiFicant departure oF the uranine tracer From a Cylindrical pattern about the bores at any depth achieved, Mean maximum depth oF uranine tracer penetration in the it 0:13} ”I“! 109 bores at 13.0 cm. radii was 8.1 cm. with a range of 5.0 to 10.0 cm. All bores at 13 cm. radii showed a slight but distinct eccentricity oF uranine solution pattern toward the position oF the aspirator probe at 5.0 cm. depth but none was apparent at the surFace or other depths. In a subsequent series oF tests, uranine solution was added to bores positioned as in the First series and 250 cc. oF water withdrawn From the center oF each oF three bore Fields over one-hour periods. Sections oF the bore Fields were not made; rather the 250 cc. inter- stitial samples were examined under ultraviolet light For evidence oF Fluorescence. None was detected. Both series oF tests would seemingly indicate that the interstitial water withdrawn From the hygropsammOn zone with an aspirator is not From the surFace layers oF the send but rather apparently is derived From depths below the terminus 0F the aspirator probe. Consequently the chemical data resulting From determinations upon the interstitial water withdrawn From the beach are most likely not those oF the upper photic layers but instead those 0F the aphotic and essentially abiotic zone beneath. There- FOre, the interstitial water chemistry reported in the preceding section oF the Results might best be considered the'Taw material" to be modiFied by the organisms oF the photic zone rather than indicative oF the chemical environ- ment within the photic zone itselF. IlIl Ltd? 1 unfit!“ tlth A. ‘ babe '2 901 net 1 ' ww Witt wort Saw “a a: ibua i111: 3!.15‘ 110 31010 ical data ualitative lake samples Table 15 presents the results oF qualitative and quantitative phytoplankton sampling From the water oF Reach A1 oFFshore oF the beach transect during the period November 9, 1963, to October 10, 1964. (See pp. 44 - 46 For methods utilized in data collection.) From qualitative samples, 187 species were identiFied during the 12-month sampling period. As indicated on Table 16, minimum number oF species were reported present December through March, and maximum species numbers were present in April through October. The minimum number oF species, 30, was reported For the January collection, 16 0F these being members oF the Cyanophyta. Thirty-six oF the 90 species recorded pre- sent For qualitative samples taken July 6, the collection in which the maximum number oF species was present, were members oF the Chrysophyta. Qualitative collections were dominated by members oF the Chrysophyta in all months but January and June. This qualitative dominance 0F the Phytoplankton by diatoms was lessened in January when members oF the Cyanophyta became qualitatively more abundant. Members oF the Chlorophyta dominated the qualitative plankton Flora collections only in June. At all times oF the year except July through September members oF the Chlorococcales qualitatively dominated the green algal component oF the phytoplankton. 1 11" ‘1 I la—u ‘—‘ —V .III I 'lkiHflI-I-II' gel-0"]... ll." lei-“ . III-‘1! \ IIIIG| lull! - — n I. .r ‘1. I \tli‘l-V I‘ll.‘ -Lrfidltd I .N'u-Iv :06 Kahlilhtdhniu : 111 :H knead non Enaewmuo .uwflmemm o>wpwpfipewsv hopHH 03» page mo genes: on» nwpmowuefi eesfioo sewn one cw mam onsmHm oma .mememm mm: coaxewan ea fiuaewmuo page we moewmona 0:» owawoanefl eesHoo m nonsw>oz man up x no «Hewnmmcwz a» wcwmnwfi mmpmhowc< ppm uhflmsnp cans» comm NH x can mmx omw M NH H. nmn wHH x S \O NNNKX one NH .5 x m3 n see an am an fix \0 O\ KN Q 0 H NNNNK awn wed H 00 N on on mm an N KN NH x Rx N a n @N NNNNN was in O h NNKNN N Z S NNNN wHH N Mme N oww mam 39005 mwpmhoosoflz manpmdowfl wwhwmsnmonaeoo wuoaapwfiom .nw> season” mwuomsmmoaaeoc weapons wanwwcnmosaeoo manpmmnsn wownpomoau mandflsoaomwu mamaooooooahpowm mwpmhooaeon manoHnoooooo aduaaama eaauomammOAooo Enemaaomcwz snowmnmmoaooo 53% afieflamflooo mdcamnep msoooooouzo nqumao .ume meoapoeefla meoooooonso meowpwosaa muoooooonno wHooaxmu ooonpoewna< mpnwnomfiw mcemooewcn< essence mflvmhowu¢ upmeawums mapmhome¢ Edvoowdmsuvwsv EsHHceoew¢ ”.3408 BONED. . SEHEOEHD OH .¥uo m chem w .m54 m .35. 0 much a a: o ..fia. m .nwm a .52. o .own A .>02 weaken mfiafinsun apnoatmfl hon dado wpapdvavedeu new o>spw¢wflwpu flashcaHQOHhsn oxdnrl.MH MHM¢H on oa1_w1uflun_u 11.5.1 11:. _\ .1 . IN. !. "rs-inn a)? r omm a 0mm NH H m3 nm N mama x ommm N fiwH x HMN a Hnm N con N Harm mam n mum a mama u wmfl x 00 H «mm x 0mm omfi x amm M NH N KN NM 8 man fix NNOH 00H M man x :8 omH K NHN NH mm mm u; «H mm mm M m mm mm mm a s3 n NH NKNNN K 0\ NM N O\ H O\ K fin 05 x .3 ma 3" KN mp mom .3 am a mmx mafi N ow N 52” N. NMOH N ONHH NH mm 05 KNNKNNN 2H N ea 2 x mama 53.9.... $535.85. essammwpmswnw spaceshosm Suwanee ngflenofi eeewoanmm eswuwsuoam sesame wanOpMHHaomo mucosa menopafiaaomu E53653 8932 uoaoowmnop mznwnaH esnwwuwaspwn whnmshq fianthuoaoan uhnwfibH mafiahfinwmw whnmebH mamboeoo whpwnhq 393 e333 onsuomo Ioweawsnow shpwehq mama wnHmOHs< .mm «nowpmc< maeammw «creamed mmH «253326 3586308 «mung. nsEnococoom «032$me .83 , use-no.3 nssnocozoom 7 am N N auofipuHow 3 .323 no fling NH N nouoanpop 23> mason E33363 mm N N N m N 3.53 Egan-«com MH N 9»de» .5 gofia 53.3.3.3 «H N N N gamed—m5 .nup Nmedv Eshunfivom N N £519.33 ..ng m fiscmhuom épnflcmm 15H N 3 N 00 N 00 N N on N N N N 55.33 53333 «H N N (”Ghana 392300 5 x 83 a 3m x :8 n a 2. x 835 a: “393.20 $3.88 8m u 2 x 83230 Surge nag-.8 208300 55090 Esauhoofimoz aw N «nononooun «Houston «m N mum N Np N N 3H N N NH N 3.33:.» uHHouoEo aw N :N N 3535 nsooooohuuom \ 3:595 Bauouonpndxfiw _ a<088moqmo. .«gomonmo 7 .oonT .22; m2 NNBNND nfi a ”mm: x aw x x 5H N ow N won a n “H "a on :98 m dam e .32 o .33. m 8: w an: T sun—«T ..uuzT is”? :5. @055 go OI! oMH HHMSH. 0H g—m Alum—V 111*V l w —‘ gin-n an N N mun m9” N am» N «am 115 5.. N NE“ N 0.: N m: n man x 8mm maafl oped 3H mm n 03 a on n gm n omwfi :8 n wflm x 91 HNH mo» 5H amw NNN KN owe a n QOH x wand on; m 8a a H wn 3 N CH N mm om x K mm ow N. £33333 £35530 agenda .92? Scanvosoom sausage N Escowonfiopsn ..H 53.33.55 fisfindEuoo naphupom avenuemoo 33m 52380 030.923 35> 03% 53.3530 x 53.2%": 23.3—.500 2:535- ..Hg Savanna Sauoauoao £33 358: 98%“ “womanoone N 5632: «8.60239 x 22555 noucounpoa gfiagsu «8.301309 53330 convouupoa E62. 3 $8.38 «caflnouzu 33> «33:35... 3:830:08 :Eoo T538 83:8. . Eamomoqmo maggzom. .fiwwmmomogmo Edmond BmOAmo. . «Emoaoqmo OH 3.00 m dam o 554 «#3. w 05:. w kn: o 334 mid: m .nom ; 5:. m .25? :62 ‘ F fir flog: OflODIIoMH H4548 L .qll‘q —‘ I“! —l l I. !0llhuh\ll|uu.l. F1Nfih 116 5.0393 coxfinofi a v5 Edy—Lavage. . «Eombfio :3 n «Emma M8m. x cm n3 x 9m NW 9E mama E: 83 Sfl «SH mg on o 3 «S RN 333 hfiéz W figmmomogmo mom 2? 3m 80 .3: a: fi 3 _ 333 3&8: @493 szN . . dgomogmo . N A? épnwnuuvw mmH N m: x x wm N W H d» Esnpnausapm NH N . N 5309mm ..Hg 3353.8 5:53.3«3 aw n W «H n Sago; Shofiiam MH 3 Bows: 39> _ nacongfinogpusus 323334.": _ x 2335.. 55¢de _ . 5920006 .um W . Egogooahn Shannan _ .mm E33530 N an N am an Esau: 5692600 W x 553:3 53.5380 foo M Spgoao in» W 2.5829“ 53.3580 528 §¢B§fiszN . . «Eomoqmo Sun H N mm "NH NNH NW MH Nam . n ’5 NM w £3 on 38 m .mom o .92 o 36.6 8a. w an: m £qu .pom a gain .009? :52 U055 vflo Ollomdu WHQSH ‘Il‘lJlllflllh is IV‘..I| I n“ l. nilNuN 4‘.“ s; N Hm; N mm x NEH x 117 hmmo «Hmmm owmm N awn ms A NN 0H NH N 8% mum N mmmm K Hm N ma n KN K hmm mHH an: N ww H K N «Hm H 40H N owe 00H m x mm n MNH N mH N ; mm m: n max H .mn naocooooo spunnaa ohu> anpcoouHm awocooooo nah-Hsowuom neocooooo H .9» uaoaoauo anozpow uHHonoaao¢n< aonpa> naucomosoc< upoao> unosma< uanav .na> uuuaooocaa noAPquno< «aauuauzaaa nospcqnso< IHHoNoHH nonpnucnod upuso .m nanuoaaa nonvnanno< own-ocHH nocpcuc£o< admowmmOHm cauaoou zomnnonan ofluaoon nomhnonaq .pcoo «gfimgo. éEEommfio OH .aoo m .nom o .93 o ha. o oanh 3?: w .hn< m .uuz m .noh : .cdhg w .OOQT .>o Till-t: vOSEH¢QOOIIoMH HHQ¢H ._ul.:u_« 1-: illli-II 5‘ %||“1 “:4:th «M N 118 5m M NH MN New H an maH x MK MN Hm N NH O\ K .2 N om KN K Escon>HHo uaoaozusoc ndmunnoonun .nu> 59.339.- “23033500 apougna . H3 §¢avnsw8a «Bodegas—co uw>pocaunauo .uup novwopsann uaHspnsnm uasvpouaufl .uu> 3.333 3.8 Hamuum unosupncoo adamawmunm 3 82890.3 «and Hamafim «a: nongonn 3 .54?de ufigoann “a pocsm H .a» .Hflopsmo Esmooahpcop “HHopzho «Hunnooouoae uHHonsmo upuazous .nup aflspuwo .HHonaho afiaammu .HHopsmo upuHHooo uHHoPOHozo dansao uHHopoaohu uwnuofifipsn 983005 one o manuauau nzonauonaouoo 0 $80 335031535 . . Sago ammo OH 3+8 m omen w omsd o hash wan—H. emu: o ..fl4m 332 m .QOh : .fidu‘m .000.“ £52 035959.33 an: 119 NH 2 mm» RN can u NNN mm HNNN N wH NH mu n NH NfiNN M "NH N N \O NNKK mm: HNN me N K ”N KN N N H K H N MN )4 KM KN N mo NH KHKK :58 33> «03:2 «H5352 355:5 33> 33:: «H9352 uoHpss «Hsoapuz .555 “H9352 upuHoooauH «H5352 3.30:3 ..Hap uoHnuwcsn «H50H>u2 uHunnoooamoH .Hu> Havana: «Hafiz HAmHmuon uHsoHpuz managed «H5352 33336 «H5352 33: 33> 3320892290 «H5332 «Hufimooéno «H5352 5933300 ..Hup onuHsonHo 233.32 3835 «.3872 uoHHapH uanOHoz £555an 2.2822500 3.332? .83 goouSHo «58052500 OH .000 m .mom w .92 w 33. m 05.6 obi o ..a...m .52 m .32 a .52. m .009 m o>oz U0fifid¢fl00ll.MH HHmuz , m .an «Haoaruz H .nn sazoa>uz H N . uvuaaopnon .nap «H:U§AH> «asoapaz avocsnaap «anoabuz _ dpaflsowna .nu> upouoon «Hmoa>uz usam N mpm N mu x mm x mm x «H N NH N a n NH n Om N mma x «Hfionop .na> «acacia ufisoa>uz uncauun uflsoa>uz nahaasmsupoou .pu» uHsngn uHsoapuz uHHopHauo .hd» «Hausa uflsoa>az N «Hana . pg stnsn 1H50H>uz N , x doapzz .nu» “Human uflsoa>uz N uowmonu .pup «cause uH50fi>uz NN NH N on: a MHH N wH N K mm xmm x H N \O N KN N H 3 NH N 120 N on 58 m don m .34 w .23. w cash. 0 has n ..a... m £qu .nom a :5. m 65 m :62 H855 anon-Ema Ema \‘ll “v.5: I .VnhOhVII Int. .H kWh-R 6"! 121 3x N N ms N 50; N a: N mam N mo N mama N mm N N N % K on N on N NH N an N on N NH N N N N N K N X 0 N N N «M mfinmwaasam .hup unmasdh unwoahm amfiocw muconhm uoaHosau «avochm upusmau «HHoawndm maHaounw .m nonopnoownoosn uaonoasnaw Sam Swoflaoé H .mm awnufisuaam maydflnmcapoon .na> uHHaonon «anaasnnam Sflaofiauopfi «£25; «mason «azomnpwz uoHua uwzounpfiz nfiucop .M nanaonaH canouuvwz awnuenfla uwsonupaz azwfififl .2835 asmdpnspm ignonnpaz masuomwflam wagonspaz awnz-Ho «anonnpaz «pso- .ud> upwpnnwnu nanonupwz .pqoo adagwmmOHm¢ano¢m ..dewmmommmmo on 58 m .nom u .34 m #3. w ouan c has o 23:. m .3; :5.” a :3. m soon m .>oz uoafidpfl00!I.MH MHmHa N35 vocoHo mafifiagm . . fiumpHHmau cw pcmmmnu mums mmwumqm ON nmnEm>oz :H “mace mHnmp nmmm km or mm mm mm wN NN an no on ow ON ucmnmuu nmuomum Lo 9955:: HmNON IlmWw N N e r m N N r r r mmHmwcHUHuma NN mm mm on 0N on Nm or mm 09 rN on wuxcaom>ucu kuOH N r N e N v N N N w mmHmupcmu or rm mm fin mN mN am we qm m Nr mN meHmccmm N r m m m m N N r mmHmUmcoeom>ucu er «N mN mN mN ON fir m r m 0 mr mu>caon0ch Hench N Nv cw Ne rr Q q r r m mmHmuoEmcm>N , p 3 m Nr or Or we Nv N N r m m m mmHmouooouoch 42: _. n n _. mmHchomoumo W e r mmHMHoamwuump r r N N N monoo>Ho> NF we or mN ON or or «r ON or me am aa>gaocu>u Hugo» N m a «r av m VF m mr m N m? mmamcomosuoz Dr 0 m Me Or wp m m N . m m V? moHauooooounu .uuo .nom .m:< >H3w acafi Nae .uu< .uus .num .cmw .uoo .>oz Dean-n madHnEom :NCOEINr ham mCHHuEmm m>avnuwHuau couNCMHuou>£n mwa Lo >uw55:m1u.mH MJm :.0 N.O gnome SponauosmEoo . 35:00. udhosneozmaoo m.0 H6 0 0 finance?" cesspoooamu 3.53303.“ :.0 33008001330 . awe—Roofing oweoanoooooo m6. 0 o :6 Selina 5533380 0. ngwo-z scanning-.00 H . O.N ~.m magmas» 260080.20 m 0 m H 3330 35> nsoflpgfi 38000950 3033:: 308000.20 m. “Housman ooenpocuna< 0.w m. 333030 «Ruooe~fi< 0 0 m 33:9: flashes: 0.N 0.0 N.m ad m «panama-e mango-e... 2.0 4.0 233:0?“ng 5559.353. 054.08 805.8. . whamehq N 0 «.0 m.: 0.5 . . . senuHMeHe>ae uhnmehq . w 0 c m o w 0.0 2.; kueshfionoan chnmnhq ; o «.0 o; . 9m NA stooges {Egg 0 0 >.H 0.0 m.m O.N uOHeHOdo m.0 4.0 . looeawohou uhpwst N o m} .3 ”am an: .383. . . m.H .0 .ou anoanqe< a 0 a 0 m neeawuu «evenee4 h. mmgmvdgzmom. .<§OZ.: N.O ;.mH m.» m.mm m.~H H.0H m.m H.wm v.0; H.05 Wmm .mn opounoonHem mdeHzowoomo..H0>..<9wmm0m0qmo noneun thpnoE mo owapnoonoa Hdpoe <9»:m0z.; w.MH .:T.:£N OCH 0.0 o N :6 Om go #2. Wm 0.0 o m m s m m. .nu< .hez .nom .euw .oon .>oz flog: HQOOII§H HHNSH anoeapuHow «finoanmnOpxeuHm eououepop .ea> weapon Esnvmaeuom makeup Eenpnafiuom anaHm .am asymmeew Edepmawvmm EdmOstdn .eap erase Eenpmawvmm eeeahnom Esnpnuavom «:HHdEpeu udpnhooo noses .eu» 3.33:. ”3.38 833$. .Saooo unuuno naauhooo whenoaooea «floccuym awnamHe> «HHonHno “possum usooooonuuom mmH<00000moamo ..¢a~mmom0qm0 _ .mu seeeowoueo upoonoHon seeeomoooo .peoo mmA¢Hzomoom0..¢awmm0moqmo , _ |I||||||||| NOBIuQIOQlltbfl 3Q , 53 50:6 ow 51..»ng 0 i H w. 0 3 ”Epsom an: enema 0 l H ..S .thm ES .350 0 .m 0.0 0.0 N.m eBmOHewcm 55.3530 0 announces . a? mestwew 53 page 0 034.53ng . . <§0mogm0 5.0 0.0 NNHN H.mH N.NN H.2w Hum 9m m.H w.0H 0.: mwmpconfioa Hmpoa ma¢088moqm0 . .<§omoqmo e Hm 0\ e O m . H :8 3 one no neownpoe m H E2552 no $02me 553 mono concomepos . 0 Savages no .803me 0.0 wheeze Symposium we. owe: . nm> «0532096 masseusewom H.0 4.0 0.0 233030 33> «~05on noose neEmoeroom :.H :6 m.w N.0 fim o.m omega. mesmmogoom «.0 330.3me . ems mspweoem mnemocmeoom . ..Eoo 00.3.08 8.5.50 . . :bmomoqmo \0 com o 139 N.O 0H m o o c 0 w m m a m m 3+8 .000 05‘ .mHE. 05:. he: :54 ..Hez .noh :30 .000 $02 7 i 605:.“ 9:0 Oil .NH mnmSH _ i . Ill.-. i .II. I.-!- -..-I.---|||)IIII.L \II‘IIII glndghvfiififl Smud‘hu lho m.m H.0 H.0 ~.o :6 4.0 FIGS MO m.mm J.MH :.OH on m.N N.H ~.m H.~ mQHQEmm thpqu mo kupcoonom Haves «Bummomoqmo owmpcmopom Hapoe mmg¢a¢zmzcww.. awnaouwsnmoHsnmnmE maanopmunowz mnaHdm:H Eduvmmsm espwnoomv .wm esnunonoomhn Ebnpmwsm eagwxo> EanmEmoo Esp~>mHo .nmp oEQOMHnmn Esanmamoo EspstpondQ Edanwsmoo ednomonpuOQSm .m esHHsmmoumEH sdflnwfimoo .pnoo mmH.H m.o m mm e. 00 0.0; o.om H.om m.~ o.mH O.Hw :.HH w.m; m.OH ~.w 00 mm LAC!) O O H .nua> whonson aHsoH>az nwundoov «Hsowpuz auwvwamso stOH>uz «HwnmooouoHE aHHonsho nacfimmu «HHonsmo nHuaHSOHuom uHocooooo apoco> anonae< «oanp uHocooosoc< manna .m anaocHH mozpnucno¢ Mdmowmm0HM4aHHo¢m ..4memomwmmo omapboouoa Haeoe mmH mHuHoon :ohnnoan oHuHoOm schnpocwm mcmwnm>HU schnnocflm mmH¢qoz oedflHpcoollohH mfim¢fi IIIlIIlIIl ”0.1-:1“ “:0 0" -51” H1HN~ ‘r? 1h2 m.0 «.0 m.o H.0 OH ..900 HQNH C>C>C)O m.HN omz¢ 0&0 ‘NO H00 .3 ON c m.H N.O saga w.w w.H o 0:55 H.0 N.O 2.0 H.0 m.o N.O \O has 5.0 ;.H N.O m.o m CH“: m .nom ; .auh w .oom \Or-xl-l . COO o.m H.0 .>oz mwapnoonoa Hupoa AmMH mHhquHH qwnomssz apocdnwpp «H50H>az mpdeOHQm .um> «venomw mHsow>uz «HHmmop .na> «mafiumg mHsoH>az «SHQHE aHsoH>uz apaHovoan «H50H>wz mwnmmcHH .map wowuawcsn aHdoH>wz .pqoo moz no Hanna ofinap cuum ” m.o H.0 4.0 O.mH m.oH w.m ;.HH m.m w.: _ anuHchHhom n 5.2. Him «.3 Hg. m6 0.0m «.mm 0.8 9% m4: de ed Haves «Eamomwgo H.m N.m N.Hm H.» w.m m.m o.m o.MH o.H 2.; o.m m.m noHanpcuo was noHaccmm o.mo m.;~ H.Hm 0.0; 0.0m o.Ho m.oa m.mH noaacacoeanhuso w.NH m.w m.om H.mw wow: m.m~ N.MH 2.0H m.H w.mH 0.; Haves Ho> N.MH N.w m.~a 0.0: o.mm m.OH «.mH m.mm N.nm m.H© o.wo H.0» Huwoa oz In! uOHnElu abdvunapuusw ode hdnefiofi Ho nowvauomsfio omdpnoohom floauaban and houfiOIl.wH mHm¢H Per cent of total phytoplankton 145 Nov. Dec. Jan. Feb. Ear. Apr. Hay June July Aug. Sep. Oct. 100 ' I fii ' Cyanophyta --—-- Chrysophyta 90. ........Chlorophyta _ ...... Pyrrhophyta 80- b C) A LA (3 I N D A _\ D I Fig. 26.--Division percentage composition in quantitative lake samples, November through October. samples, making up 84.1 per cent of the total population in September and 73.7 per cent in October. Members of the Chlorophyta dominated quantitative lake samples only in June, when they comprised 47.6 per cent of the phytoplankton count. At no time during the study did the fourth Division represented, the Pyrrhophyta' contribute more than 16.5 per cent oF the total monthly phytoplankton population. lam attrl ‘ M W .. 1 Lu; 91am 146 The dominance of quantitative lake samples From November through January by cyanophytes was primarily attributable to relatively large populations of members of the Hormogonales, particularly Phormidium angustissimum, E. africanum, and E. minnesotense. In November, Phormidium africanum was at 19.5 per cent the most abundant phyto- plankter, accompanied in relatively significant numbers by E. angustissimum (16.2 per cent), E. minnesotense (12.0 per cent), flflQELEELE marginata (7.1 per cent), Aghanocagsg glachista (4.9 per cent), and Qeratigl hirundinena (4.8 per cent). The December collaetijn was characterized by relatively large numbers of BHQEEEQLEE angustiggimum (28.2 per cent), Anacystis marginata (8.9 per cent), A. montana (7.7 per cent), Aghanocapsg elachista (3.5 per cent), Lyngbya aerugiqgg—caerulea (5.3 per cent), Tetraedron minimum (5.4 per cent) and Uroglenogsis americana (7.1 per cent). Again most abundant (23.3 per cent) in January, Phormidium angustissimum was in that month accompanied in relatively significant numbers by Anacystis marginata (11.3 per cent), A. montana (6.9 per cent), Gomghospheria lacustris (8.7 per cent), Lyngbya hieronymusii (4.4 per cent), L. aerugineo-caerulea (5.9 per cent), Aulosira laxa (4.4 per cent), and Uroglenopsis americana (8.7 per cent). The quantitative succession of cyanophytes by Chrysophytes obvious in Figure 26 From February through May was largely attributable to the appearance of relatively largo 91E“. contr [lab] derail phyt lay nf 1 m 147 large numbers of members of the genus Dinobryon. Dinobryon divergens dominated the February collections, contributing 48.8 per cent of the total plankton count (Table 17). In March, Q. sociale var. americanum assumed dominance by contributing 30.1 per cent of the total phytoplankton count, to be replaced in turn in April and May by Q. sociale, which made up 27.0 and 40.4 per cent of the total phytoplankton count respectively in those two months. Other signiFicant contributors to quanti- tative phytoplankton counts in February were Nostoc galudosum (8.1 per cent) and Peloglea bacillifera (4.1 per cent). Accompanying Q. sociale var. americanum in significant percentages in March were Anacystis marginata (5.2 per cent), Chroococcus turgidus (5.2 per cent), Cosmarium angulosum (5.2 per cent), and Navicula radiosa var. tenella (3.4 per cent). In addition to Q. sociale in April, other signifi- cant contributors to the total phytoplankton counts were Phormidium angustissimum (4.6 per cent), Dinobryon sociale var. americanum (17.6 per cent), and Peridinium cinctium (8.8 per cent). In May, D. sociale was accompanied in significant numbers by Tetraedron muticum (7.7 per cent), Oocystis elliptica (5.7 per cent) and Q. sociale var americanum (5.9 per cent). June quantitative samples were dominated by the Chloroohyta, but the most abundant green alga species, Uocystis elliptica, contributed only 13.8 per cent oF the m1 pl} ll thl .‘ (10.6 91 em " (5.9 pl 148 total phytoplankton count. Other significant contributors to the June phytoplankton were Phormidigm angustissimum (10.6 per cent), Plectonema notatum (6.4 per cent), Oedogonium rufescens (5.3 per cent), Cosmarium angulosum (6.9 per cent), and Ceratium hirundiqgQa (16.5 per cent). Members of the Cyanophyta re-established dominance in July and August, although the single most abundant species in July was Peridinium inconspicugm (13.4 per cent). Other important members in the July phytoplankton were Anacystis marginata (6.5 per cent), Phormidium angustissimum (11.3 per cent), Lyngbya hieronymusii (7.0 per cent) and Tetraedron minimum (4.7 per cent). The most abundant member of August samples was Phormidium angustissimum (26.2 per cent), accompanied in relatively significant abundance by Lyngbya hieronymusii (4.3 per cent), Tetraedron minimum (9.0 per cent), Navicula radiosa var. tenella (6.6 per cent) and Nitzschia acicularioides (2.9 per cent). The pronounced September pulse of Chrysophytes exhibited in Figures 25 and 26 is attributed to Dinobryon divergens, which contributed 74.9 per cent of the phyto- plankters in September to be followed by one of Q. social» which, absent from quantitative and qualitative samples since June, abruptly appeared to contribute 52.5 per cent 0? the October phytoplankton count. On the basis of percentage composition, the only other significant members of the September phytoplankton were Oocystis elliptica u: [up 149 var minor (1.6 per cent), Phormidium angustissimum (2.8 per cent), 3. luridum (1.2 per cent), Tetraedron minimum (1.4 per cent), 1. muticum (1.2 per cent), Navicula radiosa var. tenella (2.1 per cent), Nitzschia linearis vars. (1.4 per cent), and Achnanthes linearis F. 2233; (1.1 per cent). Reference to Table 15 however, reveals that many phyto- plankters were in numbers per liter more abundant in September than at any other time in the study. Dinobryon sociale was accompanied in significant relative abundance in October collections by Anacystis montana (2.9 per cent), Phormidigm anqustissimum (2.9 per cent), E. luridum (3.5 per cent), Oocystis elliptiqg var. minor (2.5 per cent) and Dinobryon divergqu (16.1 per cent). Biological data, Qualitative psammon samp es, 300 cm. interval Table 19 presents the results of qualitative and quantitative sampling From the beach transect at the 300 cm. interval during the period November 9, 1963, to October 10, 1964. (See pp. 44 - 47 For methods utilized in data collectiod} Table 20 summarizes data From Table 19 with respect to Order and Division totals. From qualitative samples taken at the 300 cm. interval, 62 species were identified during the 12~month Sampling period. The maximum number of species, 40, was recorded on February 5. Minimum species number of 12 was reported on September 5. As indicated on Table 20, ONO“ h" “pfloa .H".I-¢IN\U -50 gfli 0| “CUDOHE O'MH' 'vP-t. F‘ «1‘ i .oHnE«u Mo .00 non «Hawww>wu:H mm on uopho>coo noon an: Hu>kowew .50 com one . .. o . nononn upuafimnas .<.mo peace omuho>u use opqv was» no .H«>hop:fl .Eo 00m sou.“ nofimsnommwum ”MHNuMHMuMMpnmapruona use upucwwaus ugflofié 383va venom m 462 23 5“ x :< exp scam . . “senses wanes neom N «cone-ensos xHASpOHuu axed ugwn0H5< maesz§8::¢eamoamo as? spam Hem mew mew weapon sesame: mmn 3w am am «an Sm Sm i mE§BBOleéEEoz§o N «weaken nsooooocox nsuocwmsnou nsoooooaoOCAm maH x x mm x anomHHHwoap aonOHom unopuflm napnhoonowz nanpmoasn ooonpooofio mmewoeceggmg . mflmnooooooflmpoan x .5. H x 3333 nsoooooonno um N New x maa 04m m: x mspeews neoooooOHSO , :mH x «mm x «nuance ”wenhouee , o; x x mm x omo x ama x cow x mm x «pucamuas napnhoaq< 3.2088950. . «EEO 236 . m x mm x Haw x Hem x mafi x com a New x «an x Mme a sea x cow x see x o N 3 x am 2.3 New is :m a? n x Q one x HNH x HNH x HNH a 150 x 1‘ g ,7 m m a m .m i. .wsd hmsm omen hm: .wn¢ .Adz .poh .cdw .oon >02 Q El , A no hon mnwflmsdn 59:0 NH . r .50 oom+ pd peononn comma «AOHHHOEEdnn you «vac o>aaupapc~sv nee o>apupufiasOIl ma mamda you manages H-puopu. pmaa NwOH mam x 151 mm x mnm pmm on MN mm mo 8; omH HNH mo muma wwOH awe mew moH aham smoa HNH mam MN man who N. N N N. mamm omON Foam JNMHH ewe; NHQH mmow mmmOH w: x ummm x wmm x 02 x moH x mmmw moo x Jam mm mm mmm x HNH x wmm N N N HNH N aoH x mofl a gem x HNH x NHMH mm mw (D In In NNXK wmmm x N K meHH omnoa Nam» mow moH NJN ONOH «m» N K. NM N omww Hmaw ban: mea mm hmm m6 3H X NNKN Hfizocw mweosouhemano define $852520 mmHHo>..um .em> dwxcwa cepmoz wqwhm>nmm mwpwfisuoz nepmeammp manoooeoaz mesamnwpsom newHooonoaz wwnmspumw mmpwchn Essacwfi adenomnOAucfifiho .peoo mmHAo>. . . . «gomoqmo m o m o o m m a w m .wn< hash mesh he: .en4 .hmz .nmm .eow .omo .>oz UwsfldpcoollcmH mHmwz unmeaanSo afieoa>wz «Handwooaahno wasoa>mz mpmpaawo .uwp epwpamao wagoa>wz «HangooOpows mHHmtho 35.3w «Sepia aganuwpdcas nmSpemnno< 3.50 . .H nanmewH mopecmcso< wsmwxm mofipcmc£o< mugezzmm..oz @055 0:0 oil om.” mnmSH xsndgnoql 0? [ill Tl .menmmoOpmoH .nu> noun: oweoflocw oedemaump neon you upcdoo * mm N 15h 3x 0: N HWH M «an a mo Had QNH H m: x om omfl o... mmm N Hm am mu K me x mm; 5m: x K :mw N mHm x «m a pen x KN fix N KN «mm x NM mmH N a: x mm x 3. x mm x an N FN hp an nonpaoowcmosn newconowpm Ba.» Seoemaoé apnea .nap opennemaw menonnpflz sewage Ezwcmz «pafiampnoe .nm> «Heuwna> «Heowpmz waoqsaanp madoa>wz «gnome... .5...» uneven» «Hsoa>mz weaves .eu> «Hanan «Hooaraz «pmfioooewfl uasoa>mz nanwoqaa .ua» uoanmweon wasow>wz * «HangoOOpamH .nm» wnmflmsmn wasowpwz * Humamdos .nwp dumamson saucepwz .aaoo mmq numnEsn «seesaw .peoo mmHoz 6055 9:0 on: . 9“ am; ‘0.“ .I.“ "and.” ||l|l||flll Ila- |.. irll la . ..lnIl‘ T . “in SOEO‘INH. “Av“. “Walflflnnil 0"I&.-I.§lrl“i 1 one: u.— .nwflnnmoflnhno one: ma ones» Ho 3035» wfipufiauzv 5 anemone 983 n .nmawoooooonso 95 «0 208.85 30an Hm 935902 qH "theep prmp came anemone mmH own m ma NH E“ o." ww Om. mm mm on mm wm am we p.355: Hmpoe H . . H H H H H H H «Nemmozmgoem Hmpoe m o m m HH HH HH mH NH NH ON mH «NemmomHmmo Hapos m w w w a HH NH mH mH NH mH mH anaeamm . . . . . . . . H . . . umHanOanoneuno . . H H N m N N m N H . uwHaoooooempmm H H N m a m m N a g a m Hewmmomoqmo Haves m . . . . . . . . H . . . assess: H H N H m N N N m a a m u3.2589520 . . . m H H H . . . . . anuoo>Ho> N m m a NH NH mH mH oH mH MH NH HewmmozHvopHHudu Highest; :5 00m. Ho hag—smutow MESH 157 minimum numbers oF species were present July through October when total species number approximated halF or less that oF the November - June period. Maximum species numbers were reported From November through June, during -which months chrysophytes comprised at least halF oF the total number 0F species present in qualitative samples. The qualitative dominance 0F total species number during the November ~ June period by members oF the Chrysophyta was primarily attributable to members 0F the Pennales. During the same period, the Cyanophyta closely approached the Chrysophyta in number of species monthly. Only in September did the Hormogonales species comprise less than halF oF the total number oF cyanophyte species present. Although the Hormogonales reached maximum qualitative abundance in February with 10 species present, the total number oF Hormogonales species in each monthly collection From November through June never was less than eight. The Chroococcales component oF the 300 cm. psammonFlora showed a similar seasonal distribution, maximum number of species occurring From November through June with an abrupt July to October decline. Throughout the 12-month study, members oF the Chrysophyta approached or exceeded 50 per cent 0F the total species present. Members oF the Pennales con- tributed From BO to 100 per cent 0F the total chrysophyte species present in qualitativa samples throughout the 12 months. The three species OF the Heterococcales ...__— __ _._—-.._. Ehry: abun and non pre gm thl 158 identiFied during the 12-month study were Found only From December through August, all three appearing in February and May. Phaeothamnion, the only member oF the Chrysotrichales identiFied, was present only in February. Species oF the Chlorophyta were relatively most abundant From November through August, but only in July and August oF the 12-month period did they contribute more than 18 per cent oF the total number oF species present. In September and October, only one species oF green alga was identiFied in qualitative samples From the BOD cm. interval. The only member oF the Tetrasporales identiFied during the 12-month period, Oloeocystis, appeared only on February 5. Members oF the Volvocales and Chlorococcales were sporadic in appearance, being most common From November through August and practically disappearing in September and October. Qualitatively, members 0F the Chlorococcales dominated the green algal cemponent 0F the psammon Flora throughout the 12 months. Only seven species oF algae were present at the 300 cm. interval throughout the entire 12-month sampling period. These included Syflechococcus aeurqinosus, Chlorococcum humicola, Cymbella microce hala, Navicula M decussis, N. heuFleri var. leptocephala, N. radiosa var -—-————_.—_._ tenella, and Rhopalodia qibba. Plectonema notatum was present in all qualitative samples except those oF September 5, and Cymbella aFFinis was absent only in w vari No the d9: 159 October. Navicula hungarica var linearis was absent From qualitative samples only in September and October. Biological data, Quantitative psammon samples. SOO gm. interval Figure 27 presents in graph Form the monthly variation in total number oF algal members oF the psammon- Flora per co. in quantitative 2.4 cc. samples taken during the 12~month study. (Techniques oF data collection are described on pp. 44 - 47.) Total number oF individuals per cc. oF sand From the 300 cm. interval ranged From a minimum oF 1,369 on August 6 to a maximum oF 13,296 individuals per cc. re- corded on January 6. Comparison 0F Figure 27 with Figure 25 (total number oF individuals per liter in quantitative lake plankton samples November through October) shows an almost absolute reversal oF seasonal variation in quanti- tative abundance oF algae. Naximum algal population densities in the sand at the 3GB cm. interval occurred in months in which lake phytoplankton was least abundant, i.e. during the December-February period, and were at minimum during those months in which lake phytoplankton was most abundant, i.e. November and Nay through October. An exception to the generalization occurred, however, in March when lake population density was at minimum and beach +3OO cm. interVal population exhibited a late winter depression. It should be noted here that maximum 7* ..g»fir=: z. -- l —- #: Fag- 7 , J C) CO. Thousands oF individuals per Fig. 27.--Total number oF individual algal units 1 per cc. oF sand, quantitative monthly samples, 300 cm. i interval. PW" sun: 10:! flat: 161 population densities occurred either when the beach was solidly Frozen December through February or in April Fol- lowing the March thaw. Minimum densities occurred in March as thawing began and again From May through October as the sand became progressively drier. Even at minimum beach population density in August, iF density per cc. oF beach sand at the 300 cm. interval be multiplied by 1000 to convert to density per liter and compared with maximum lake phytoplankton abundance in September, density oF beach population at minimum exceeds that 0F lake phyto- plankton at maximum by a Factor oF approximately 10. A comparison oF maximum beach population density at the 300 cm. interval in January with that oF maximum lake phytoplankton abundance in September indicates the maximum beach population density to be approximately 112 times that oF the lake. Table 21 presents data oF quantitative psammon- Flora abundance at the 300 cm. interval on the basis oF species percentage composition oF total individuals counted each month oF the 12-month sampling period. Table 22 presents a summary oF data From Table 21, the species data From Table 21 being grouped to Order and Division. All percentages are rounded oFF to the nearest 0.01 per cent. Data From Tables 21 and 22 indicate that in quantitative samples the Cyanophyta numerically dominated the ZOO cm. interval psammonFlora From November through June and again in September and October. This dominance 162 .Hapnmch .ao com as» ea noses .oHaauu msHpapupnuee ca seasons .00 non 3.3qung H0 hon-5G Have» 0&9 H0 v.30 .Hoa. 05.0 as 0.0!: 3.35»an flushes“? am non—£0202 no .sHaeep oHnap aqua _ Nw.Nm wN.H EH; owJu ww.m am.» nepafiwu> 5302532 ow...” «moo wo.\. muffi NN.OH m”; H Esfimnnapsou nsoHoooaowE HH.H FH.O H~.o oa.H. HHnaspnou uhpwdhq O®.m Hh.m NN.mH wmomw 11m Nm.m NHco mm.m Sign“... Eufiwnghgflho msoo mo.m om.N H:.m mo.N mm.o am.; unaH uancHs< mmHoz i chnoqu .50 00m €2.30.- oowflnomsoo emcee—ocean qusun sip-finessolJm mama. 163 mm.m> ww.m; mo.mm H~.a wo.m mm.m; H~.a N;.o Ho.;~ Hm.mm om.m mN.OH wo.H mo.H mm.m mm.w m;.w: mm.mm wb.m mp.m No.5m no.0m H~.m oo.m oo.~ Hm.o w;.o mm.mm wo.mo m:.w@ 55.;m mw.om mo.m; Hw.m; mm.mm mo.om um.Hw w:.o mm.mH ww.;~ wa.ao 5:.5m gm.m mm.m -.: mo.: om.m wm.o mm.m mc.o wm.m H:.m oo.m mH.; no.m Hm.H ww.H Hu.mm mm.om Nm.wm OH.mH NN.O mm.o mp.~ owwpzoonma Hmpoe mmqqo>..uo>..<9&:momoqmo moflmewm Aancos mo mwmpcmonmm Hmpos wflxcwa cepmoz .pcoo mmqoz confidvfioollcdw mqm<fi 16h wodm _ wmdw $1: madfl oméa no.5 no.4 omd wad _ wwwpnwohoa H309 m £38855 w ...«Emomnfio and :6 .m $3.5m 933920.30 watn :mJ“ :m.m HH.H $.H msmnoano msnpcwHHmQOHno mmdm wodm 8.2 4H4: wo.m mo.§ mm.m $3.. N36 «3.5.3 3333.33 éoz @055" ado DI... o H N mama“ 165 2H.wH 05.0: m:.m; Hm.m; mm.wm 3H.QH 05.0; Hm.wH m:.mH o:.mw mm.w ww.H mo.m mm.m w>.m :m.o m;.H om.oa mw.m >0.HH 35.0H Hm.: ma.m om.w wm.m mm.m w>.m mH.mm Hm.o m;.H H~.N mm.H 00.: wn.Hm 0H.>m H;.mH mm.mH wo.m no.0 NN.O NH.m mo.; Hm.o a~.H ww.H mm.o mw.w 4m.H NH.m om.o mm.o Fm.m 0H.H ow.; H;.m mm.o :©.HH NN.w ow.H mmno mm.o FH.o m:.o mo.m mo.w mmb 5m.o amOHscwhm mmqoabflmnowua mmH¢zmuobm..wz wHHmcop .nmp mmoavma masofipmz «cause .uwp «Hausa wasowpwz mflnwmnaH .nw> moahmmcsn «HsOflpwz .mpmp Hanm5w£ masoapmz mammdomv wasoflpmz mflmsnmoOHOHE wHHmpaho . maaammm wHHmpfimo magdzzmm..oz co m cw uaommum mamsufl>fiwnfl Hmqu me 4:00 “hamsap oHnmp uwom chug monEdn unmm w>wpupwpnmsw .oo :. mw.m mm.H mo.; mm.o mm.o mmfimcofimsm ¢memozmgcbm ;~.mfi 05.0; m;.m; Hm.m; mm.om mH.mN >5.Hm ofi.- mw.HH 40.HH NN.® mo.m Hmpoe «symmomwmmo :H.mfl 05.0; Hm.mfl m;.mH 0;.mw OO.N H;.ma mm.mH ~®.m mo.m om.H mo.m mmHa:Cmm mm.o mofimnOngomznao mm.o~ mo.om m;.HH mH.oH om.ma mc.HH no.3 om.m m:.o mmflnoooo0hwpom , mm.~ mm.ca hw.mm :p.am HH.mH mm.~H ow.“ 4m.m aH.;H o;.~ mw.g OH.; Hmpoe «ewmmomogmo b oo.m mmfiwnonnwupoa H mm.~ mm.oH pm.mm ~m.wa mH.oH om.m~ mH.» am.m gm.w og.m mo.: oa.: mmHaoooooMOHnu W m2.o mm.m wu.m m4.o mmHmoo>Ho> w mm.mp N~.~; Ho.gm Hm.m~ m;.mg so.~m mm.mm wo.no ~;.mo -.4w mo.ew H>.mm Hmpoe «Bummozapavagaana hflnpcofi no noapamomfioo omavnmonwm cowma>an mum hound-I.mw mnmda ‘x‘; . ‘ . ..a. .‘ g —-fi Ias pa; Ihen n me I the 3 of tr iota? DEN 167 was particularly pronounced in November through January when members of the Cyanophyta comprised 85 per cent or more of the total number of algae present in sand From the 300 cc. interval. During those three months, members of the Homogonales contributed 80 per cent or more of the total number of algal individuals present. Figure 28 presents in graph Form a summary of percentage composition of total algal population during Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sep. Oct. —— Cyanophyta _u___n——-Chrysophyta ____._._ Chlorophyta ......... Euglenophyta Ch (3 4* Percentage of total count (,1 b 'n O D J N O L .1 O :_ Fig. 28.-—Summary of percentage composition by Divisions For 300 cm. interval quantitative samples, November through October. ..__.____._—_._. . the div Fig abt 168 the twelve-month study with reference to the four divisions represented in the collections. Reference to Figures 27 and 28 shows that the general decline in total abundance of algae present in the sand at the 300 cm. interval is relatively closely paralleled by a similar decline in the percentage contribution of the Cyanophyta to the total algal population. The relatively minor "bloom" of Phormidium microtgflgm in September and October produced a disproportionately large upturn in the Eyanophyta component of Figure 28 because of the rela- tively small total number of algal individuals present in the sand at that time. The apparent increasing im- T portance of members of the Chrysophyta and Chlorophyta From March through August indicated on Figure 28 is not illustrative so much of significant population "blooms" within those two Divisions as it is of the relative decreasa in abundance of members of the Cyanophyta. Only in July and August did the Chrysophyta numerically dominate the quantitative samples of the 300 cm. interval. The numerical importance 0? the Chrysophyta in July was attributable primarily to relatively large numbers of members of the Heterococcales, particularly Botrydiopsis arhiza, which alone contributed 30.08 per cent of the total individuals present that month. Bgtrydiopsis arhiza was also the most common species in August, outnumbering all other Chrysophytes combined with 26.58 per cent of the total individuals present. The Ehri hav uh! 981 .I. ..Illll‘llc | 169 The large (40.70 per cent) September contribution of the Chrysophyta to the total algal population was attributable to the Pennales, particularly Navicula heufleri vars., Navicula decussis, and Navicula radiosa var. tenella, which respectively contributed 11.07, 16.74, and 5.53 per cent of the total algal population. An important contributor in the June 6 collection was Navicula heufleri vars., which accounted for 10.80 per cent of the total number of individuals that month. Individual species of the Chlorophyta rarely 'contributed more than five per cent to the total algal population during the 12—month study, and only in May through September did the chlorophytes comprise more than 10 per cent of total individuals present. 0f the Chlorophyta, only the species Chlorococcum humicola was a significant contributor to the algal flora of quanti- tative samples at the 300 cm. interval throughout the study. In June, July, August, and September Q. humicola comprised respectively 15.45, 18.32, 24.83, and 16.65 per cent of the total individuals present in quantitative samples. 0f the Chroococcales present in the 300 cm. interval quantitative samples, gyflgchococcus aeruoingsgg was the only species present throughout the 12-month period and present in significant amounts in any one collection. In May, July, and August samples §. aeruginosus contributed respectively 13.58, 15.68, and trih tote 170 21.25 per cent of the total algal population. Chroococcus minutus, appearing only in September and October con- tributed 26.68 and 10.70 per cent respectively of the total count. In the Hormogonales component of quantitative psammon samples frOm the 300 cm. interval Schizothrix friesii. Phormidium microtgmgm, Nostoc paludosum, Microcoleus acutissimus, fl. vaginatus, Plectonema notatum, and Cylindrospermum minimum were significant. In November, December, January, and February 5. friesii contributed 58.22, 57.47, 61.96, and 24.88 per cent of the total count respectively. Although Phormidium microtomum appeared only in September and October, in October 49.53 per cent of the algal individuals iden- tified were of this species. Cylindrospermum minimum, although present only sporadically through the year, in April and May became a significant contributor to the total count, supplying 28.82 and 15.22 per cent respec- tively in those months. Plectonema notatum, also present only sporadically through the year, contributed 19.10 per cent of the total count in November and 27.88 per cent of the count in June. In summary, for quantitative samples at the 300 cm. interval, Schizothrix friesii dominated November through February and was joined in dominance in March by 1icrocoleus acutissimus and Botrydiopsis arhiza. In N April and Nay Anabaena anomala and 8. arhiza characteriZed Elk-‘3' 171 quantitative samples. In June Plectonema notatum, Chlorococcum humicola, g. arhiza, and Navicula heuFleri vars. deminated. July and August samples were characterized by relatively large numbers of Syflgchococcus aeruoinoggs, Chlorococcum humicola, 8. arhiZa. Navicula ggcussis. fl. radiosa var. tenella, and fl. heufleri vars. By September and October quantitative samples were dominated by Chroococcus minutus, Phormidium microtomum, Chlorococcum __—— humicola, Navicula decussis, and Navicula heufleri vars. Biological data, Qualitative psammon samples, 200 cm. interval Table 23 presents the results of qualitative and quantitative sampling from the beach transect at the 200 cm. interval during the period November 9, 1963, to October 10, 1964. From qualitative samples taken at the 200 cm. interval, 104 species were identified during the 12-month sampling period. Total number of species present in monthly qualitative samples ranged from a maximum of 81 on February 5 to a minimum of 23 recorded on October 10. As indicated on Table 24, the greatest diversity of species occurred from January through may. FrOm June through October there was a progressive decline in total number of species. Throughout the 12-month sampling period, cyanophytes and chrysophytes dominated qualitative samples from the +200 cm. interval. Only in October did the Cyanophyta contribute less than 30 per cent of the monthly species In.“ ”HIKE-loll H".fl-.¥I-d I-IO OONt an! OEOIIE lllr 172 noun .00 :.N songs as anemone apes“ has . opus pus» noHaEun opapupaflusd a“ psomonm nus spun“ nus anMNOdsd nopuoanna noun» m .oo nfiusumrauefi wHN op voenoenoo was Ha>nopefi .Eo ooN one soon nOHnsan no #5500 omuno>d on» case saga :0 48$an .8 com 25 a. .82 as 8. n 5. "325 033. same x x x N mAH x «sea unanoas< MN N moa N nNm N mHN N mum N JJOH K mww N hm; N N .mn (sounded . mmHoz weaken wnwameun cpHOEINH you hasveoi Hahnopla .30 ooN+ pa panacea ouwflu «noamsossuno now spec obfipupapousu use upwpupaflu501|.mw mamas 173 :HM x :mH N moH N MMMH M Ma: x NmQMNN MMo: x meo x ONQNNN NmNH x meH H nooH N Edsannwpndmns SeacHEhonm we a son a «me x 08. x mm a 2:588. sausages MN N MN H woN x napsep «whopuaflaouo aw H «woman awnowuflfiwono MN N we x N m: N mJH x JHM a mu» N mmoEHH awnovdflaaono N mmN N HMo H 5n: N omw x o: N a: x «nosuou «Neapnaaaono n on n me x maH a .nu coauoz on N N mm 8 MN N ow: N 005 N on§o>nd .hur waxfiaa connoz a; a me x 0mm a mo x son n saoa a omow x mmmu a o; n senoesaua oopnoz MN a me x uuuhe>nun «anaasooz MN N MN N mm x com x mwaN M :mM N MN N hpwa x uspdnwmap nooaooonowz :wH M ow: N NM: N mad N :wM N NJN M 30M N HMmm N HMm N noeuuamoeoneno nsoaooonowz MN N x pnM N mMM x mafiwunwwaoa naoaooonowz o: N mafia-pom «hpmzzq 0mm N aw x HNH n NausEhoonouz uhnwahg mm a «a x a fin x man s .33 x 3.3 K see x 8m x 2m x page»: 8883 QMM N o; N doapnouo Iosamonoa ahnmnhq MN N w: M sea H mo N x as; H MN N me x moa x adage“: apenomnonunaaho N x doodnunnfioe Hannpoauo .pgoo $258255 . dgogo o w o m w m m a w m .mp4 hash omen he: .nm< .nu: .poh .nuw .oom .>oz 605§m¢l00Ilumw mqmAo>. . «Emomoqmo amHH mmmfi OSN Sumo :NHN NomHM 00% $me Hoawm mNNm MMNM $6 2309 mafia—oz _ <§oz§o 7 4N» mm» NMmH flbm mHHN $2M Naom 80.3“ 83% mum} :NmN mmom 3.3.3 35202 $345850? . SEEO 2.3.0 8 0mm a 8H a means. senescence MN N HNH N NJN x we mMMH N 0mm x x HNH x .3223” wooaafihm :0M x on me x wHN N NHNH x 4mm x 35263” “3.850538 5M M m4.” H mNN. N 09H K NM: JON x :2“ N 03 wt. N HNH N 93 x 33.9”.“ fifipouwsnem m 93 N MMM N odfiop «288.5on 1 HMm x 3N N Esacpoc “Benopooflm K HNH wHN M .RN N 40% Raw 3 .3 a an N 2L. 3 383% song.“ nonhfinonm x 6M N N £332.23 Eggs—hog mm N N m; N x x 5.80.093: lowgnhonm MN N mm M m: N Na K and N 93H N Nm K ‘“MH 3 53.3..” Eggshoam wMM H MN N N oHN N Hafiz—flown gage—none wow go N o; H NJN x «H1323 533535 .9100 955$ 858$ . . «EOEHO 0H m w m w o w m m a m m .900 .mom .95. ~33. 033. ha: 354. ..Huz Ayah £3 .03 :52 cog.“ aflo Dal . MN fimdfi x o... x mnemwdtewsv 13> wvswownwmdv mssmmcesoom x x 93285 ..Hwe 239.3355. Blfimouocoom MN x owl—TE. mssmococoom a mm x manpop Ednpmmwcom x on x Esmoaswdn 33> x396 Esnpmmflpmm M E33325 .ng 5:833 5:534.pr mm x x MN x Eocwhnoo. gnpmmfiuoo x MN N MN N Na N NJN x HMm x x mm M pond: .ng 5 «38:? 8.5.88 N Nm N Nm x ml? x NM; x mm.” xmoa x NaN x OJM N NM; x 13M x wMM x mHN x goofing Enooooonoano ma<088mogmo ...«afimomoqmu >4 5 $ 288. sesame: mfifieoeoaao . . «@885 5 N N do Seacomovoo mm x H .mm Seasomovmo mafizooommo . . «Harmomoqmo 0H m o o m o o m m a w m .aoo .mom .mg. .33. scan has ..Hmd 332 .nom .22. Jam :62 wound." vac UII . M N Ham <8 mom Sm mfi 8m wmm Rm 8m mm? min mm@ :6 m2 338 3&8: _ «Emomogmo mmm $33 $8.52 madafifizgm. . «.5505qu wHN N N gnomosflopg .m naflanmmnmfi Eggmémoo HNH N 563% Eanmsmoo maggzowm . . «Eomoéo RH Sm mm :8 wmm Rm 0% $3 2: may .30 m2 333 3582 $408086ng ..«Eomoqmo Mm l 0... N93 N S m; NmoH N3 Nmma N08 N H .am 302:8; N HNH N N and“ N :oM N :2” N Na N mo N mpwaghm $033005. m: N :HM Nmofl Nmfln Nmflu NMN N Edowpds ”8.50933. MN N NgM N HMm N N N MN N 52555 noavmmnpwa N flames 38> mcswoancmsv msfinmvoqmom .pcoo m34 >4 N wHN me N KN N MK NMN m: K on x MN x HNH N K NNNNNNN N >4 KHXNXKN m3 mfi :3 w; x maa x awH x H mm H NH N Cow own N x“ xxx MN XX 03 8; x L wpwcdmmso deoa>wz mamsamoopnhno wflsowpmz apwpwgmo .nm> mpmpwmwo mfidowpwz H .nm mHHonfiho mfimnaoOOMOHE mHHmtho $5.3“ «flange maandcfluom maouooooo wwnpw> mawcooosoz< mafimmwpsnws mospcwcno< manna .m nflnmmcHH mmnpcwn£o< manwmcflfi mmgpnmnno< mpwaoouqma mmnpnmqno¢ mMHoz vwanpSOOII.MN mqde 178 .mawnmwoopmwa .hwp op Uocmanmw .unmp Spop mo npasoo w>apmaquwsd* mm mm mm mafi me w; H N H mam x 50w x om; wow N N N N N N N N hmm x w: x m; mo; HNH N N N N gem x :mpfi x ppm x K N 0mm N N mmmm x «m» N mw :mwm mm; X K N pea HNH N N N «ma x mam N N N mom x Eswnsu Ennfimz mpmpoadawnp madowpmz mpdeoHQm .gm> wpmnomm masofl>mz mHHmcop .am> mmOvaa mazow>mz «mowvwh .am> mmOfluwn mafioe>wz wowpdE onw> stasm deoH>mz mpmpwaao .nw> wasnsa wfidoapmz mfiwfias «anewpmz mwnmmzafi .nw> mowhwwcsn wflsow>wz * mennooopmmH .nwp whoawdos masoa>mz * Humamson .nm> wnmamdon masoa>mz mwmusoou afldowpmz .pcoo mMH¢ZZMm..1 moan )1 mi. m; K N N KN mHoN N K mpmfioo «Hflopoaoho mspwmcafifidm msomwuoaaomoo mmH aanwocwa manonspfiz Edaapnsnm manonnpwz wwndwao wwnonnpfiz apnea .uw> mpapnswaw masonapaz .pcoo mmHoz uosqagaool|.mm mnmda 0 8 1 mmfiw Now." mHmm Hug Hmwm mmomm wmmm omJON mmmmw 04mm mogm $52“ .8 hog £8me £36235 Hmpoe mm me mm 333 mango: («BEECH/Mamba MN x moH x mm M 353.35 mgoEOstvmpe x x mnoasnwnm 355035029 @465qu3 . «thgozm a: 8“ gm 8w Sn 5 OS 2mm :8; 8% mi 28 £33 fificoz «Emmomwgo 0H m w m o o w m m ; w m 500 den .34 ENE. 05;. ha: .34 ..32 86% .23. .89 :52 cuss.“ #Go on... . mm Emdé 181 .moHuooooOMOHso 639 he m ohms anoman mm .m aonfim>oz :0 «aonnomoEnom on» ho uhopfimfi mums mH omen» mo .mmHaEmm m>prpHstv :H pnmmwgm "aHmsnp mHnmp uamm MN 5 mm 3 .3 mm 2 R a a _ 2 mm wmmwwmmsmmmwm . . H H H . . . H H . . «Emozfiopm H38. HH S 3 Hm 3 MN 2 Hm mm 8 mm 5 «EEOQHEO H309 ..H :H S 8 S mm mm 8 8 mm 5 mm 82330 as umHmfiom . H H H H H . H m H H m anmoOOooumpmm a N N H m 0H m. H 9 m o m Emmomoéo H38 . . . . . . . . m . . H mmeprmnth m N w a m OH m H OH 0 o w anwooooOHOHno H . . . . . . . H . . . anchowowmv . . . . . . H . . . . . anmoo>Ho> m 0H NH ON ON 3 S mm mm 3 mH mH «E058 HSOH m m HH mH wH mH 0H 3 aw mm HH mH mmHmcomoEom m H H m a p m m OH 5 a ; umHaoooooonno .900 .nom .ms< hHuw onSH hm: .nn< .umz .pom .cmh .omn .>oz uoHuon wnHHmewu nanoser new mnHHnamn prpmpHstw Hm>umaqH .so cow mo mumsssmnu.am mqm wficomc mango 3:980 mm.0 0N.0 SJ mad NN.H $4 $10 wm.m 3.330?" 82.30030 maJ” mp6 3.0 mm.0 mw.0 $3me 26880.50 2.0 escapee ndooooooeno H10 02.0 300me 805.893... mm...“ 3; 2.0 ma.0 0H.0 acmpcoe 333mg. $0.0 m~.o ao.H mm.m eN.H e;.; No.m “panamame mesmeomq< oe.o meEponp seeemqmse< 05408 80mm? . flflxcwa oopnoz 00.0 0H.0 ufiuhopnufl «wadwduoz mw.o oo.o mm.o om.H mm.; 50.; N;.o pm.mH aspanfima> nawfiooouoaz Na.m om.;H mm.; eo.m OH.H m;.~ mF.H :o.m mm.m ”upmaaaoqonpso . wsoaooonodz H>.0 mm.0 ww.m mafiannapsow nsoHooonoaz om.o ndflamasn uhpmshg mm.o -.H ~H.H “ansshsopows whpwckg H>.o :0.H mm.o mfi.m HH.m e~.m mm.H H~.~ No.~ Hflnmspnua «hpmchq Hm.0 «4.0 uoHspoao Iomfiwgmw whnwfihg .pnoo EH45 8§0m . . 55.50 5H0 0H m o o 0 o o m m a n m .poo .nom .msd hash 0:50 has .an< .udz .poh .num .000 .poz uosfipqo 0.....mu Em: aum S3 93 8.; «ma odd 9? 84 $6 SA 36 «O.N £823 §ooo8nofio wa<088moamo ..dBHEomQHmo 05.: H d» Edacomocoo mafia—898 . . <§omogmo 8.2. msz 81$ no.2. mmd» modm 3.3 3.: mméo mwdm Exam 01mm 335» finance mo omupuoonoa H309 dgogo 3.3 66m «mam Sufi 40.2 233 3.3 m9? 3.? afimm o~.~m mw.mm omqpcoonoa H58. ma458§mom. .dgogo 9 3.0 Hm...” $4 35:3 55308509 m mo; Ea Ed 36 SJ 3.; NH; #353 .SHaim ma; SA 8.0 3.“ é; Ra 3.3203 535328 main $6 3.3 mmaH «Qua DU.“ .64 2.; 3% mm; 8.; 338.“ “2.25323 #8.; mod mm.w .35 no.4 £30 54 43;. goons.“ conmwnonhfinom mm .o 2. . m mason «80:08on 0w .0 mm . m 5530: «50:30me mmd Seasons 553505 main mmd ..BEovonoHs Swgzfloflm 3E8 @545 855m . . SHRED 5H0 0H m w m o w m m m a w m .08 .mom .9; .33. 05;. has .994 .9“: .90...“ 82:. .08 :62 @055 9:0 Oil .mN Ema“ 190 :o.oa cH.;H om.: Jp.m oH m m m .990 .nom .ws< has» mm.w Om.o e onsb mm.m $0.0 Hw.m 0;.0 mm.o wfi.H w m m : .noh .caw NN.H . con a .>oz :nEomOSpgoprn .H EdHSmnosnEw Ezwnufinoo EdmOHsmcw Ezahmfinoo magdeflfifimfiN..<fiflmomogmo ommpcmonom Hmpoe mmfl<088med$ .. wvsuowncwsw nssaouoaoom «munwa nssnocoaoom nappop Espgmaavom Eqanoaswsn .na> xmaasc Esnpnwavpm Ezcahhon Esnpnwavmm hozfla .na> sowpafififlm nflpnmooo .pqoo mmH.; Hm.o m .pom mm.o wa.:m N;.m Hm.o mo.« : .cwm ma.:fi om.HH .oom mo.m :m.o 0H.» Hw.: om.H HN.O NN.; cPOZ «HHocop .Aw> auOflwan «H:0H>wz wowpsa .n«> «Human «H50a>az ufipmocfiH .nu> wownwmadn «HSowpaz «Hasmmoopmmfi .amp Hhmamsmn «Hsofl>wz mammsomo wasow>mz upwowmmso mHsow>wz «Hanmmoopmhpo stOflpwz wpmpflmmo «Hsowpwz mamnmooonoas «HHwnsho manammm mfiflapsho mmqmz .pcoo m5¢2§m2<§omwmmo 0H m o o m m. o m m 3 w m .voo .mom .w:< hfidh ocdn mu: .um< .guz .pwm .qwm .omm .>oz 6023 use QII . m w Ema. 193 om.o om.w £0.0H ao.mH w~.: on.mp wH.m; o~.om mo.wH on.HH HN.; mH.;H 0H.:H mm.- am.mm mm.mm om.~ :m.p NN.O a».; Hm.o FH.; mm.ww mm.wp w:.m m~.wm gm.mH m;.:fl oa.Hfi om.HH m».mm ow.~m mm.~ enefidnowoshom one no uhopsofi one: noHnsiu ucun o>wp~pflpnunv .00 ;.N cw anemonm nausua>wucw HapOp no pcoo hon mm.mm .m nonfiopoz no Hm.mm zo.wm FN.: «m.m oa.mo mm.mm ~m.p "hanznv wHQufi ouom nofiunoamsm «summozmqopm ngoa oz Hupnopaa .Eo oow auoamsun o>apu¢Hpnudv hflnpnofi no aengnOQSGo omupcoonom cownw>am and noun0nn.wm mqm333adeo Ho .00 son “was .d 2:0 ehapupflfiuev 5 pounced nu: noaoomn 5.5, mop-3.05 «one launder O lllhmfihh on: mowm one: nHusmfifi a has 33 023. how sown» m 0.35. .eonfioooe :H .nofimfiun nonegoz one. 5 x ca. £223 033 modem mme mmH N mm x 200 th an n mwm nmw n SH N am." osm Ham x N mm a CNN mmm N m5 sad n «ma x mmu N we oHH ow m» 0N cm x mHH mow 0H wee a» NNEK mm x mm x awmfl mmm mm mom mm am am one N H mm saw no mw pm MK KN whm on ma»: mace x use a «NW u an n meow » me x mmH em a NMNN mm H m do 2835:. mHH¢zooozm0m..oz weaken mafia—nan fleeces-NH . no.“ Diva—cs Heiress-a: .Eo OOH... no poonoun oumau usages—seam no.“ epic ofipufipceew one ofipufifieeql 5N mamas.“ E. N a Ham / we a Samoa“? £335.85 mwm on... on f3 x 3. x x en mi. N moNH x “.363. $383330 mm a we a $3 a 3.353% weeosafleomo N mm x x mmm x mmH x Hoexo geopoHHwomo v.2“ x mm x mmw N mm x encased.“ uahopeaflomo :3 Sm a SH x “Esteem 3.35258 0H E. x x SH x mmw x E. x 3 x a: x oma x mm x mm x s 560633 03.32 0H cm x 3%: 8pr2 R x x OH x mm M 393an 1.93382 mm x «RH M omfi x 0mm a mi. a mi. M 35 N mam x 253.3!» 33000."on fin men x 35 x :3 a mm; M nopuufidogfifi 2830232 SH x unfinflpoou neoHooonoaz em x mm a 5.33 gees ..Oi mm N h: n H mm H m... N m: N 2.: N «can K 04m N meH N was on “ansfimcgoe: Snowing 2 mom N CH N mm N on K R; x mm N mmw H mm n 3.333. 953.3 E .5 u as x mom a en x mm a m: n on a mg n so a we x S; u .32.: regimen: «hpwchq x .Qn 3.2350030 mm SH H E. M an N mom N gw x «H a Ow K x x NNN x on a :55sz 5509393an N successes: ”25.5070 mm OH H OH H mm x n wmw x mom. K mw N SH N 33H «.3933. mnw cm u. 2. N :3” x mm x H a do «newness. .pmoo @45850m. .<: HHJN x mmpm amom mmm 9: 0:. mg x mmmwm nwpnhoomoaw mmngo>..oz SEH»:OUII.NN mamda 3 OH x esgmcsmo achoomupoe om x wpomuwcoo .nm> mamcofiaoao msfimmumnoom «GHwanuwsd .pmp mvswoanumzd usamovmnoom mmsnan udamwvmcwom momfiuhpaam .pmp mspwsonm msfiwocmnwom manpmp ssnpmmadmm ow N mm x Ednwopna Edapmwaumm n x OH x N x Eanstdp .nm> Nmamdv Esnpnmavmm M x mm x Edp¢Hsucs .nm> Eqawmnop Esnpmmacmm on x as N wafl x no ON N OH x sacmhnon Esppmmfivmm N N um N m; x mmm x mwm x mm M w» x mm x Honda .nw> «3&2? £358 pad H mm x Ham N Ham N sad N pad x mH K 0mm x um x omH x onH x mm x «Hoowad: EdooOOOHOHsu . aacsmnm ngnoUOppnfixc< ma4 N ON 203 N x $3.53 mo> mwpmmoowoao .pcoo mmHoz umnnwpcoollowm mumda OH x EspmHSponsm Esflnasnoo x ON a x esndpvnovsona Edanwfinoo Ow H supmcmnw Edwnmsnoo mm x Snowoodn 13> Edoanosoww EsanmEnoo OH x a mw x cw x x x x Esnomonpnonzn .nm> EstunonaEH sanmEnoo Siam 52280 mm H ON N mm x we x NHH x up x mm x Esnostcm eswnmsuoo mw x x onnovmqwo .am> mumstcw Edwmenoo mmHoz 60.2: 9:0 0|! .5 w Em SH. mpm mmm 205 am mm mm x cm x mmw mm Oh man mp x mm x mm x w» my x me; my mm x OMH OMH x goo mam 03mm ON OMH mmm ON N x me N me x 0; ON N NQOH mom um N mm x we x Nmo mm mm x mm x mmmm NHH mm «mo am «manna nHunoHunupom mmqwz HHm N :Hm N NHH N S; N mmH N mo... N mOH N NON N OMH N am N mmH N N mpwgmmso 350ng NHH N N mm N mmw N mmw N mmm N mm N 3mm N N :mH N HHm N mm N «Hanuooopmhno 330.262 E. N m: N mm N N N N N N N N H .9” «HHonENO N N233 NSBENO omm N S N mo; N R; N NEH N So N NE N 6m N «5 N N «5 N we N 22%882 «Sonia omm N «S N SH N Go N mwm N no; N :8 N Rm N N N N am N 35%.. «SEED N mH N am N N 393:2.“on 32.80000 N N an N N NOH N E. N N no.5? $2809.55“ mm N N N @mH N mmH N omH N m: N :Hw N N N N N mfimnsddws neaficmgod «hm N mm N :Hm N 2. N N: N Omm N NEH N omH N Hm N am N N N 3.30 ..N 3.80:: nosvnflang N N N N awnmofiH 352952 N 3928 uoficgg 3:225 . . EEO ammo an m3 :3 ON SH 8 3 mm mm 333 Nfifioz maggo. . NeEmOmHmmo ...mH N OMH N :mH N Om N N ow N S N mm N am N N fiasco «HHoNOHoNO NHH N napwofiHQSn 282.. 605.“. 08 O N N 3&ng wsoflwonwomoo maéezumo. . EEO BBS 0H m m o m m o m m a w m 5.8 .nom .msd NHE. 05;. Na: 3&4 832 .poh :35 .08 .32 dosfipflooll oh N mama“ .wstmvoomeH .Nm> pawn: vowsHocw ohm wowgmwgmp noon pom mNNNoON N N OHOH N N mum N mmw N 0mm N Own N mm; N mmaH N JON N ow: N mam N on N mu N mmH N an N N ONH N wm N 207 N N pm N mmH >4 )4 N N N K In (s H N co In N N mmw N N HHm N mmm N mmm N NHH N am N 0mm N mm N amen N Mme N aomm N mmcm N OHmm N chm N NOmH N mNNH N momH N New N we N NwHN N 7: >4 N we: N mom N mp N mm N «km N mmm N wmm; N mJJH N nmcwoNNmHaoNow mflxomapwz mpmpocdmwnp «Hsowpaz mpwHSOHmm .na> mpmnoom deoN>wz wHchop .pr mmovaN aHsowpmz wowpss .Nm> «Hanna mHsoH>wz wpmpaamo .Nm> «Human NHNON>wz wpmHsuc: .nm> mowpss mHnOH>wz medawa mH50N>wz wpuHouoauH mHsoN>mz nNvacwH .Nm> mowsmmzss mHsow>wz * «stnmoogaoH .Nw> NumHmson aHsoN>mz * HNmHm:ms .Nm> Np Hmsmn mHon>mz .pcoo mmHNZZMM..oz UOSNHN:OOII.NN mgmde NNNHH mHme QOHJH Hmamm ammaH gNon new: QNNJH mmmma mQMOH mmmHm mach .00 non Nconohm nHmsowpwvnH proa much «can NHH N 208 :mH N Comb :mmp JHN N Hume >500 mom N OH N wHNNH mmomH an «:0 mm XKNK Nome OOHO mm N Ham N NHH N Hmmm mem Nam N pm amH NKNN ON mnmm ammm mgH mm K KN NNNN mam» mam N NOH N mmwm comm mmw N KN HMH; Mao: Homw OOJM mwww OOJM omH N N ww N N MN ”aspen NNNNNoN NawmmomNmmo ”Hapop Nagpcoz mBszE . . EEO ENE mgHgamubfifif apnsmqw dHHouflhsm 3an «NENNQBE .gm «NsomNpNz mpmHHmpNannzm mHNOmNpNz «mHmQ wagomnpwz mHNwmcwH mwsomNpNz Estpmzpm manonapflz Nflndeo masonspwz wpfiow .Nm> apmpmswmw macoanHz .pcoo OMHNZZEm..HuupHHusv 2H vacuoum egos noHooqn mm anopso>hw mm A 0E "NHNNNN oHnuu uuom m; m; m; :0 Hm mm Hm mm mm mm Ho mm psonoum uoNooau mo gonads Hupoe Hm 0H mm on mm mm mm MN Hm mm «H HN HawmmomNmmo Hmpoa mH NH NN mw ON HN NN mm mm mm mH mm uvHchom N H H H w N H H . . H H ”OHwNpgoo . . . . H . . H H H H . monooooonopom . . . . H H . . N m . . HENmmozaHupm Hupoe , m m 0 HH OH mH OH NH NH mH mH m HHNNNONOHNO HwNoe M H H N m m m m H m m m m 3H£§2wNN M, N N H a N OH 0 NH NH HH N m "0HuooooonoHso ; c . . . . . . . . H H . noHunomnuhpoe ; . . . . . . H. . . . . . anaoo>H0> Hm HN om mm NH NN NH mm mm Hm NN mm HNNNNONHNU Hupoa mH om NH mH NH NH 4H MH mH mm Hm HH noHNcomosNoN w a a a m m a N N w w w noHNOOOOOONSO .woo .nom .ms< hst o::% has .hm< .nuz .noh .nun .oom .poz cowhon leHnEdn nwfiosTNH Nah mnHHmEun 0>HpupHHudv HubnoaGH .Eo OOH Ho Nhusfidmll.ww HHmNH 210 number oF 45 was reported From September 5 and October 10 samples. As indicated on Table 28, during the 12-month sampling period the most diversity 0F species composition, 61 to 72, occurred during the December through March period when the collecting site was solidly Frozen. An- other pulse in number 0F species, primarily attributable to the Pennales, occurred in the July 6 samples when 64 species were reported. Following the July pulse, a marked decline in number oF species was observed to the end of the sampling period. The contribution oF cyanophyte species to the qualitative monthly species list at the 100 cm. interval ranged From a low oF 33.3 per cent 0F the total species list to a maximum 0F 53.3 per cent on September 5. The mean contribution oF cyanophytes to the total species list each month was 40.2 per cent. This signiFicant con- tribution was largely attributable to members oF the Hormogonales, which with 20 species contributed From a maximum oF 44.4 per cent oF the total species list in the September collection to a minimum oF 23.5 per cent with 12 species in the June 6 species list. Species of the Hormogonales were qualitatively most abundant in early winter and mid-summer and least abundant in late spring and early summer. Species cF Chlorophyta were relatively qualita- tively most abundant in those months in which the beach was solidly Frozen and least abundant in late summer and 211 early Fall. At no time during the 12-month study did chlorophytes comprise more than 24.6 per cent 0F the qualitative species list (February 5) or less than 6.7 per cent (September 5 and October 10). The monthly mean centribution oF green algal species during the 12-month period was 17.7 per cent oF the total species present. This contribution was attributable essentially to members of the Chlorococcales and Zygnematales, particularly the Former, which in February and March contributed 17.4 and 19.0 per cent oF the total qualitative species list respectively. Except in January and February when they contri- buted 4.2 and 2.9 per cent respectively of the total species list, members oF the Euglenophyta were insigniFi- cant contributors to qualitative samples. members 0F the Chrysophyta contributed From 31.9 to 46.9 per cent 0F the total monthly qualitative sample species lists with a mean monthly contribution oF 41.2 per cent. This contribution to the total species list was essentially ascribable to members oF the Pennales, members oF neither the Heterococcales nor Centrales cen— tributing more than 2.0 or 3.9 per cent respectively to the monthly species lists. No clearly apparent seasonal variation in abundance oF diatom species could be dis- cerned, although qualitatively diatoms were least abundant in September and October and most abundant January through July. 212 Twenty-Four species oF algae were present in qualitative collections at the 100 cm. interval through- out the 12-month sampling period. These included §yflg§hococcus aeruginosus, leindrosgermum minimum, Lynobya aerugineo—caerulea, Nostoc paludosqm, Phormidiqm angustissimum, Phormidiqm luridqm, Schizothrix Friesii, Chlorococcum humicola, Tetraedron mininqm, Euastrum insulare, Achnanthes linearis F. curta, A. minutissima, “—..— —- C mbella aFFinis C. microce hala Navicula cryptocephala _1_______.______9 _ v __ 9 fl. EgsEidata, fl. heuFleri var. heuFleri, fl. heuFleri var. leptocephala, fl. hunoariqa var. linearis, fl. minima, N. radiosa var. tenella, Hitzschia palea, and Rhogalodig gibba. Absent only in October was Lyngby§.gieronymusii, and Phormidigg aflggglg was absent From qualitative samples only in June. Biological data, quantitative psammon samples, 100 cm. interval Figure 31 presents in graph Form the monthly Variation in total number oF algal members 0F the psammon Flora per co. in quantitative 2.4 cc. samples taken dur- ing the 12-month study. In the quantitative samples collected at the 100 cm. interval oF the beach transect, total number oF individuals per cc. of sand ranged From a minimum oF 4,887 on April 6 to a maximum oF 31,926 recorded in December 8 collections. Comparison oF Figure 31 with Figure 25 indicates relatively little relationship between seasonal variation in algal abundance “uh—all L0 ODIN “In. BHQDUHTDVTIH 213 N v. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sep. Oct. 40%. Hr. - NH. . . . M D N D l A 4.4.344 thousands oF individuals per cc. oF sand Ch Kl mtOD—tNmDUT I Fig. 31.—-Total number oF individual algal units per cc. oF sand, quantitative monthly samples, 100 cm. interval. at the 100 cm. interval and that in quantitative lake PhytOplankton samples as Far as month by month cemparison is concerned. It should be noted that both Figures, however, do show limited relationship in that both in~ dicate an abrupt decrease in algal abundance in the march- April period oF thaw Followed by early summer recovery to . 1 at}! 214 an abundance level approximately that oF the initial collections in November. The June-July depression Fol- lowed by the September—Uctober ”bloom" exhibited by the lake algal community, however, was not exhibited at the 100 cm. interval where, instead, a June-July pulse was Followed by a gradual decline in algal abundance From July onward to the last collection in October. Comparison oF Figure 31 with Figure 27 indicates a somewhat closer agreement oF seasonal variation in quantitative algal abundance between the 100 cm. interval and that oF the SOD cm. interval as does comparison oF Figure 31 with Figure 29, which presents in graph Form seasonal variation in algal abundance at the 200 cm. interval. A more detailed analysis oF seasonal variation in algal abundance in the lake and the 300, 200, 190, and 25 cm. intervals is given later in this chapter. It should be noted at this point, however, that the 300, 200, and 100 cm. intervals all exhibited a marked maximum in quantitative algal abundance during the period in which the beach was solidly Frozen, Followed by a precipitous decline in the March-April period oF thaw. All three intervals exhibited an April-May recovery oF algal abundance to or exceeding that oF the initial November collection prior to the congealing OF the environment, Followed by a June slump, partial recovery in July- August, and more or less rapid decline in algal abundance in the September-October collections. 215 At minimum algal population density oF the 180 cm. interval in April, density oF algae at the 100 cm. interval exceeded that oF the maximum lake phytoplankton density inSeptember by a Factor oF approximately 48. flaximum algal population density at the 100 cm. interval in December exceeded that oF the September lake quantitative samples by a Factor oF approximately 268. Table 29 presents data 0F quantitative abundance oF psammon algae at the 100 cm. interval on the basis 0F species percentage composition oF total individuals counted each month oF the 12-month sampling period. Table 30 presents a summary oF data From Table 29 with species data being grouped to Order and Division. All percentages are rounded oFF to the nearest 0.01 per cent. Data From Tables 29 and 30 indicate that, in quantitative samples collected at the 100 cm. interval, members oF the Cyanophyta and Chrysophyta dominated the 100 cm. interval psammon algae community throughout the 12-month period oF the study. Members oF the Cyanophyta contributed From a maximum oF 59.44 per cent oF the total number oF algae enumerated in December 8 samples to a minimum 0F 23.34 per cent in April 6 samples. From December 8 to February 5 cyanophytes contributed 54.47 to 59.44 per cent oF the total count. Cyanophytes apparently diminished in quantitative importance at the 100 cm. interval during the March—April period. In May, cyanophytes began a gradual return to their position mmmmnmumd no weakened .«punkuuE o ouo3 enououn nHusca>Hune Mo peso nod mH.m anonE«n 0>Hpapwpcuow m honsooom gH H . . "saunas oHpup snow .0 mod 8.; NN.O omd 32H 95894 an.o 00.0 no.0 . om mm.o 4 .Qu «gownu=< mo.w b:.o mm.o «0.0 m .H $4.0 om.o mw.o Ho.H m .Qn ~201fi~e< am 0 m mmn<20mozmom...m :0.~ mm..H OO.N owupsmonoa Hapoe Ne.a H;.H 05 m cm H mo m as o m maneooooooemu..«epmmozaeo . . . . . o. .o H .m mN.H nanosflmshou mm.H >;.o Nw.o mm H mm w HH 0 mm H Hm H m m ;w ; nsooooonoochm ,0 No.0 Hm.o apnoO:H nflpnhQOHOHz fl - $2.0 mm.H NNoH mO.N MJoN nwhpngfih 000£QOOOHU am.o mm.H mm.o am.o Hm.o mw.o unowmnsv nsoooooonso no.0 H: o . . mspsoHs nsoooooonzo 0H 0 0w 0 m~.o adpuowHasnsusd EsHHosoew< o~.o we.o NN.O «H.0 «accuses ooo;poMana< 0 FOQH HHIO wm-o NN.O @JOO “defiaoe ”flaw” OWNM< Hm 0 No.0 no.6 mm.H wo.H mm.o mH.m upwekuus newshoqe< 8:08 8950. . anamozafio o m m o m m m a m .m .uwo .mom .ws< hHow snow has .en< .nuz .pom .euw .oom >02 Huhnopfia .Eo ooH .thpnoE scapwnomeoo owupeeouom onsdu opwuauapnm5011.mw mqmay 217 mm.o 03.0 swoop msenopomHm so.~ s~.H mm.a mm.H mm.; eo.HH we.m mm.e mo.m oe.H ee.m No.m seepage aeaeaapoem Ne.e mo.o ms.a eo.o Hm.o .mm.o ew.o oe.H sm.fi mo.H mw.a massage aseeaspoam amoo mH.m wm.m mm.m wN.OH mN.NH wm.; no.2 wm.m zw.m mm.» mw.m _s:efimmflpmsmnw aeeeesponm No.0 em.o mm.a segmentem seaeasaoea 0H.m :m.m 0H.m mm.o mm.m >w.m mmsomp wwnoemHHeomo Hm.o mm.o em.mH moeeemHaw menopwHHHomo Hm.o mm.w No.m Hemxo apaOPMfiHaomo am.o 0H.o mm.H :m.o «mosnom sweepmHHwomo NF.H ms.o sm.o assesses mayosmaaaomo no.0 no.0 m:.o mmeH mafia wmoo 13.0 no...“ NN.O NH..O EsmoHUSHmm oopwo: no.0 NN.O passes oopwoz wm.o No.0 NH.o mamem>wmp mesmeeeoz am.o mH.H mH.m mm.m me.m mm.o mm.m mH.m mspmeewmp msmHooonoaz m>.~ MH.m ow.n Hm.m mm.w wmpmdeosospno msoHooonoez om.o mdfiwmmedom msmHoooaOHz mH.m hm.a maHmmpsm manmnzg Hm.o No.0 «N.O mw.o oo.H mm.m 4;.m um.m ;~.; 22.0 HHmSEhQOHmen whnwchg mo.e eo.o 9H.o m~.o ma.m NN.O NN.O em.o apnaspmmm wepmnea mo...“ mu...“ 3.2—“ MH.N Hoew Hm..n anon wHow 0:..m HN.H. :MeH moco wwHohmmo nomowmsnmm whnmcaH an.o em.o mm.o ma.o se.m ms.H om.o ea.o ms.o 3H.H engages asspmamonacaaeo .pcoo madagzmom. .<§OZoz wood.“ aha on: .m w H.353. 218 mm.o 02.0 mm.m Ho.o :H.c NH.U Esomanop Esnpmmwawm mm.o oo.H me.m wH.e NN.O em.o me.o sagas .nmp moflpmeHo memhooo m0.H Hmd 0N.N mm.H mm.H 05.0 wm.0 mm.« 230 om.H flu: 8.0 mHooHEdn SsooooroHOHfio 93408955150 ...«Emmomogmo wm.o seesaw mmcosoeaEmHSO ma <8>HO>. . mz mm.0 mm.: HH.:H mm.HH mm.m 00.H wo.: 0m.H 4N.H ww.H m m m a .HQ< .nmz .pom .wa .omm moem 0:.N NH.0 .>oz oncovmcmo .am> opmHsmcm Eswpmfimoo mdee mflwomHHoao demoomcmom mwsmap mesmooocoom mmnpmp soupmmemm esnmopow esnpmmemm Eststsn .nm> wast EsnpmmHUem sopmHsuc: .nm> soomhnop eonpwmwomm .pcoo mmHoz .mn mmnoequnomna .Qa moomnm .mm «consm mmH ssoaupoeoow Edanmfimoo Essowonpnonsm .nw> ssHsmmoHQEa sownmEnoo EsmOHsmnw esflnwEnoo .eooo mmH.H Hm.0 ww.0 00.0 00.0 mm.0 05.0 mw.o gr.0 amfimm wfigcmnpag wa.~ mfi aucwfl awgongpwz No.0 EQHSQuzam mwsoampwz HH.0 wwmfimflo mflfiomwwwz mm.0 ow.0 Hm.0 mmfiaowpmfisoflcw «Poms; 0m.m 0;.H mH.N :m.o wpmpocdawhp masow>mz H;.N m0.m ©:.N m;.H mm.m mm.m NH.: H:.m Hm.w mm.m QJ.H mu.m mafimcmp .nw> mwofiwwa mflzoa>mz 00.0 mm.0 00.0 mm.0 00.0 03.0 2N.0 om.o «06055 .pmp «H0050 wadoa>mz 0H.0 0:.m mm.0 mm.H om.H mpwpwmwo .nw> mHsmsa «Hsoapwz ww.0 00.0 «EHCHE wasow>wz N;.H HJ.0 «pmfiooonmfi «HSOfi>mB 4N.N 0N.w pm.m 0m.H 0w.0 mm.0 20.4 gm.o mw.o mw.0 mc.m nflymmaH .9w> mafihamcss «H:Ow>wz 0m.Hm 0H.w: no.MN mm.ww mH.©w am.Hm mw.0m 0m.NH ©4.mfi @0.HN mw.m~ 00.0H «Hasavoopaofi .uw> whoamsms mfldow>wu 4m.h Hm.m m0.m m~.m m;.m mw.m mw.~ mm.w hfi.m 00.0 ww.m ~0.NH mfimmzomw madoflpm: mw.~ m>.H No.0 mm.H ~0.H 4;.m wm.m aw.H wo.fi :x.c 05.0 mpwwflawzu wflsow>wz mo.H 00.0 mm.0 mm.H HN.N mw.0 0m.H ww.fi NN.O 0m.0 mesacooaahho masow>wz .pfloo mMH<fi2@m..¢memomMmmo S m m. m. o m o m m a w m .woo .ncm .m:< mfisw cash hwz .AQ¢ .guz .ncm .nmw .000 .>oa voucfivnooll.mw mqm¢9 223 32$ emfww R43 3.4m Sdm 5.0m Hmdm 6.0m :mém 22mm 2.0m 3:3 3353 35:02.3 ummfihoopom H309 oz voqnwpnooll.mm mqm.mm mH.oN HH.;; fiance «awmmomwmmo mwdo 2.8 8.3 8.4m mm.mm 3.0m mm.$ 3.4m tuww mmém $.mw 3:3 mmachmm N»; Oan um; no.0 8.0 HH.O mm.o NN.O NHoo nodmnpcoo mm.o . NN.O 0:.H 30.0 «H.0 moauooooohopom mm.o Hm.o w~.o mm.o noflagofiwsm «Bummozmqopm 0:.m ao.~ $.m 09m 5% wmé 016 3.3 .119 mm.m :m.m mod H309 ;.m mm.4 HH.;H mm.HH mm.m mm.w mw.m mmamoQOUOHOHso mm.o moflaoo>flo> mm.;m H;.mm NN.Om aw.Ha ma.mm :H.mm am.mm o~.wm po.m ~;.;m J;.mm mo.wg H0009 «EwmmozHunm mm“ who: chomp o>Hpupwwmuww mm wwwmnnm mm: noeoomn mane uopuowvca «pace nus nap o opapa . uc< how come «go nu ma mm mm mm; Hum 23m a ma N em x me x wGOH Hem x cm x New 3 th a :mH ma x NHH N we me n ma ma mea cos mm x mm X mm x ma N me New x >1 >4 ma x mm N mm x >HH N 30H x mmMH mmm hfiH N N NHH K mmm x neopsooom :H u m eopfiopoz .onsum .opuo sun» amassed one cw N z< "masses ofioeo eaom lIIlIulIa.»u.n:.unu...a.ua:.pnts moww Ham N ans x mom 3 mmH >4 >4 :mm x m can ascended meuezoeozmom..oz U3." non magma: spaces-NH sauna now «use 0>Hpapw¢ewoe . w+ ea panacea oumaw «noaheo non haspuofi Hu>noeea so m can o>wpwpeausoun.flm mgmoz cough vac 0!. . Hm named. mm N onH N mm N mmm N th mm we an N am N ma mm ma ma ma am pm N N mm NHH wma >1 NHH mm N NHH N mum N :moH N PHH N mmm N es; s Hmmm N mm: mm mm NHH we; gma :mH N wwpuoS .mu» udswownpwsv nsfimooosoom «semnamnoa .eu> doduowuvudd udsuooonoom upodnpeoo .eue nwneowaomo usanovoeoom «women ussnouaeoom aonavhpuag .au> advanced ussnonomeom cooounpop .eu> nonpoe Edepnuavom nuhpov Esnpnuflvom Esnmopea Esepudwomm Esuoasmse .nu> NmHaoU Ednpnuwdom Ebewhuop ssnvnawvom noses .eu» uoepooaao noonsooo unease nwpmhooo “access: Edooooonoazo mmHNooooomoqmo ..eewmmomoqmo mfiupoe Nfispnoa mmuazegeem.. , Emfismmmumefl Edanmfimoo , up N ma N wm N N mm N Edpmcmem esaawEnoo , «H N NHH N N 550N005m .emp Esoahemsoom stpmsmoo , mm N N N mwpnam seamemoD mfi N mm N mu N mw N cma N Eerstcm sawemsmoo mmH npop homnpmsoo* Noam N HHNJHN NNmH N mama N mwm N omfi N NHH N owww N mmmw N ONNOHN mmwmmN HmooaN * «HanaooopaoH .hm> HthHSos «asoabuz N N N N N * HNOHHsoz .hup Huofimzes masoH>uz pm N HHm N ma N mMH N :mH N N N ;;m N omOH N 0mm N mama N HHOH N nanndoou wasoapuz mH N mp N mH N mH mH mH mu mwm N wNHH N mmeNamso «Hsoa>az gnaw N mama N a? N mom N R N N N K N S; N :3 N $3 N £3 a «HEQSSQNB £53.52 N Espowppnfioo .hm> onuasonwo :oficwhoz N H .m» «Eocosmaoo mp N nswmsnoopan .nm> Edpwpndmca «Soconmsoo mm N JHN N «powwoua .n«> Edpwvnsmna mEono£QEoo mm N mphmcflmmmno .Nm> mofiwopEOSN mwfldpmdph ma N ma N mundaowha «apocdm N nocNE .nmp nwamuapoma mapocsm N N N N N N N N mm N mm: N How N H .Qm «Hawnfimo EanOprco> «HHmQENo mfimas «Sonic ma N oMH N mu N mNH N wb N mH N N saw N 0mm N mmm N omwfi N OOJH N wamgmwoonowfi mHHmQNNo .pcoo mmHNZZEm..1 N N N N 0H m m m o o m m m J m m .900 .mom .m:< Nana onsw has .NQN .Nma .nmm .cwb .omm .poz Umdflwpnooln.fim @HmNB , A. .u 1. ”KW y 237 ma mm mm mm K wMH N mmw N mH N N N on N N mH N wma N N mm N N mH mH N wma N NNN mmm N Sex ma N an N an N N mmH JmH N mmm :mH H N omH N a» omH u N O m m n r omaa N N H NHH N“ .3 ago: N 3.“. x _ 71' H mmoH HQMH N NHH N mmam N wcflmmm afimmwz m .am ”newpwz «Napomcewnp aH50N>mz mpmfisowmm .nmp wpoaomm NHSOHPNZ IHHclov .nu> «noawuh «Hdoapuz mnoacifl .har usedwdh ufinoapmz nflhmstnapoou .pu> «Human uasow>wz aoavzfi .nur «Hausa ngow>mz «papwmuo .uu> aHsadm «Hzowrwz upaasucs .nu> aowpzs «H50H>wz «camopp .nu> soapss aflsoapuz «sagas «Hsow>mz upwaooocafi «H50fi>mz manaccwa .Nw> NOanwgdn wasofi>az .pcoo mMHoz vozzapnooll.fim mqm. mpmpagwcm mwsommpaz N oma N mwm N N mH N oma N NHH N mm N «ma N wwuaowpafidoaow mwsomavfiz .pcoo mHHdzzwm..cz .Ilfl'll: I c $5389.25 ENE 239 mama EN EN asw £3 8% £3 85 ma 3% mmmmp Ca .8 .3 239a mfimsgfivfi H309 momma NSC“ ommm 53. CONN mo: mmH Nmmo Home 2.on was: ommom mango» mango: NEEOmNE.Ho mwwmfl NS: HMMN Hmfi. mmwm m0: mg“ 33 6% mamma 93w: wmamm 233. manage: m5 NZZME . . EEEO mwmmo mH N «9293de manuHHooRB N 232 338$ .pnoo mafié . . <§Eo murmmo 0H m o o m. m m m m a w 0 ..«oc .Qom .mHE Nash. 08% Naz ..Haeq 3sz .nom .cmw coon :62 @055.“ ‘30 Q... . Hm mama; .memcouoeuom m£+ mo mNmSEmE HH new mmppsaomhuco mhmk mm onw£p mo mmmHnEwm mprmpHHmdv :H pcmmaga wnms ammo)mm Hp .Nmpsw>o: um "NHmzap oHpmp Umwm O i \ n 1. HF O 05 Hw pammmum moHoomw om 8 mm mm. mm 8 NH 5 w No Egg H38 Ill; gm 2 H mm Hm mm HH R H mm mm mm Hammomwmmo H23 mm um mm mm om om OH gm om Hm mm mm mmHmmcwm m monnpch N H m m H H H m N N N a 0 HH m N o o . NH MH m M; NH NEEONSS HEPH a, MW m o z m N H . m a m m w mempwswcmNN m 2 n a m m 4 a m . a m s OH O memoooOOHOHzO W H H . . . . H H H . NEEOEHUPH H38 H H O Hm mm NH NH N mm 3 NH mH NH 45858 H33 , mH mm . - , NH ow mH OH 0 NH mH OH mH HH memSonom O 4H NH 7, O O wmeoooOOONSO m N H m m N m m N m .Qmm .ms< hHsb 0:55 hwz .am< .nmz .nom .cwm .omm .>02 38 on mfiHefiu £quva no.“ mfiHmsmm mpHpmpHHmsu $235 .5 m? mo Nnmgmrn.mm 52% no? ,. E g E I I 241 By June 6, the + 25 cm. interval was again exposed and about 50 cm. distant From the shoreline. Recovery of species diversity, essentially a reflection of increase of Pennales species, produced a second peak in species diversity of 69 species in July. By October 10, a pro— gressive decline in species abundance resulted in only 50 species being present. As was true of qualitative samples From the +300, +200, and +100 cm. transect intervals throughout the 12-month sampling period, cyanophytes and chrysophytes dominated the psammonflora algae. Fluctuation in total number of species present each month was essentially attributable to variation in the number of species which were assigned to the Hormogonales and Pennales. The contribution of cyanophytes to monthly quali- tative species lists ranged From a maximum of 38.9 per cent in the April 6 collection to a minimUm of 23.9 per cent of the total species list in the November 9 collection. The mean contribution of members of the Cyanophyta to monthly qualitative species lists was 32.4 per cent, with contributions above the mean occurring in February, April, and June through October. At no time did members of the Chroococcales contribute more than 11.6 per cent of the total species list nor more than 41.2 per cent of the total monthly cyanophyte species contribution, both occurrences taking place in the January 4 collection. on a 12-month mean basis, species assigned to the Chroococcales 242 contributed no more.than 25.2 per cent of the total cyanophyte species present monthly. Consequently, the qualitative importance of cyanophytes to monthly species counts was attributable largely to members of the Hormogonales. Species assigned to the Hormogonales were most abundant February through March and again June through September, although they were relatively most important (33.3 per cent) From the basis of a percentage contribution to the total species list in the April 6 collection. The two species assigned to the Euglenophyta were of little importance in qualitative species lists. Species of the Division Chlorophyta were most abundant in November and December when 15 green algal species were recorded, but in those months they contributed only 21.1 and 21.4 per cent respectively of the total species count. In the April 6 collection, no green algae were reported. The monthly mean contribution of green algae species during the 12—month sampling period was 14.1 per cent of the total species present. Only in September were members of the Chlorococcales less abundant than species assigned to the Zygnematales, but even in that month members of the Zygnematales comprised only 9.7 per cent of the total species count. Species assigned to the Division Chrysophyta con~ tributed FrOm a maximum of 64.0 per cent of the total Species list in the May 6 collection to a minimum of 43.7 . LCWNIMLF , « a. 243 per cent in February with a mean monthly contribution of 52.6 per cent. This dominance of qualitative samples was ascribable to members of the Pennales, members of the Centrales contributing at maximum only 5.6 per cent of the total species list in the May 6 collection and on a 12-month mean basis contributing only 6.3 per cent of the total monthly chrysophyte species present. Diatom species were most abundant in November through March and May through September. Only 13 species of algae were reported present in qualitative collections From the 25 cm. interval through- out the 12-month sampling period. These included Qscillatoria tenuis, Phormidiufl angustissimum, Cyclotella compta, Achnanthes liggagig F. gurtg, Cymbella affinis, E. microce hala, Navicula or toes hala, fl. decussis, fl. heuFleri var. heuFleri, fl. heuFleri var. leptocephala, fl. minima, fl. radiosa var. tenella and Rhopalodig gibgg. In addition, eight species were absent only in April. These included Spirulina subsalsa, Tetraedron minimum, Euastrum insulare, Cymbella sp. 1, Navicula cus idata, fl. tripunctata, Nitzachia acicularflides, and flitgsghifl SD. 4. Phormidiqm luridqm was absent From qualitative CDllections only in January. Thus 16 of the 22 species which were present at the 25 cm. interval throughout the collection period were diatoms. . 1 2 [It]: fit. . - ... . 244 Biological data, Quantitative psammon samples. 25 cm. interval Figure 33 presents in graph form results relative to monthly variation in total number of algal members of the psammonflora per co. in 2.4 cc. quantitative samples taken at the +25 cm. interval during the 12-month study. Total number of individuals per cc. of sand ranged from a minimum of 1186 on April 6 to a maximum of 75,955 reported in December 8 samples. It should be noted that the precipitous decline to the population minima recorded in April and May was concomitant with late Harch ice movements which disrupted the beach transect up to and including the +112.5 cm. position and with inundation with approximately 5 cm. of lake water on the April 6 and May 6 collection dates. In general, the algal companent of the psammon flora at the 25 cm. interval showed an initial density increase in December as the transect substrate became congealed Followed by a subsequent regular precipitous decline during the January-march period when the beach 1 was apparently solidly frozen. The violent disruption of . the substrate by late March ice break-up and subsequent é inundation of the 25 cm. collection site of April and T day 6 collecting dates precludes any other explanation Of the April-May population minima. In June and July collections a gradual recovery of the algae of the psammon- flora is evident. A marked decline in the August 6 -__..._ —...__.‘_.__....__ Nov. DeCo Jan. 245 90 BO ‘ 7O - SO' 40' 30‘ 204 _\ thousands of individuals per cc. of sand .J—\ 01 m \‘ICDKDD Feb. Mar. Apr. May June July Aug. Sep. Oct. I I I 1 I I ' Fig. 33.--Total numbers of individual algal units per cc. of sand, quantitative monthly samples, interval. 25 cm. fi 246 samples was Followed by September 5 recovery beyond that of July 6 but still short of the December 8 peak. In October 10 collections the general decline of psammon algae abundance evidenced at the other three transect sites was again apparent at the 25 cm. interval. Detailed comparison of seasonal variation of lake and psammon algae population densities with that of the 25 cm. interval is made in the biological data recapitu- lation section of this chapter, but at this point it may be noted that comparison of Figures 25 (lake), 2? (300 cm. interval), 29 (200 cm. interval), and 31 (100 cm. interval) indicates that no direct and obvious correlation was seem- ingly evident between month by month variations in algae population density of the lake or any of the transect collection sites. Minimum algae population density at the 25 cm. interval on April 5 exceeded that of the maximum lake PhytOplankton density per comparable sampling volume in SeDtember by a Factor oF approximately 1D. Laximum algae PODUlation density oF the 25 cm. interval in December exceeded that of September lake quantitative samples by a Factor of approximately 6 9. Table 33 presents data of quantitative abundance of psammon algae at the 25 cm. interval on the basis of species percentage composition of total individuals counted each month of the 12-month sampling period. Table 34 presents a summary of data From Taole J3, the speCies .vcemmnm mamsoa>flecw Hwfinfim esp Ho paws hem JN.H commemeco mpmcwmnms wflpmwowc< nacowpomHHoo w>wpmpwpcmsd m nwnfiepoz cH "sewage oapmp came wH.H : .Qw mommnwc< HH.H mm.o wH.H >H.m m .Qm «commend Hm.o N .om mommpmc< mEH.H Om.m ww.a oo.m ommpomonmm proe mdeoQuooommo..oz FurE. 5H Hmenmpea .50 mm qhHSpcoE coapwwonsoo omepcoagmm ofiaewm mpwpwemecmsw I.mm n~.a m:.m mm.; mm.H Hm.m FH.w mm.o mm.H mw.m ascensH ssflofienosm se.;H ms.HH me.mm no.4 Jm.HN oe.a; me.em mm.m H:.© oo.m om.~ oa.oa sesamwaswemem assess: No.0 answfinfim 23.353le and newswoahwm E33585. 330 no...” 02.0 Nmfi. SHN mwum mm.; mm?” Nam-H mm.o 4.0.0 0H.m wwdfimp mHHOPwHHHomO mm.o om.o mm.o mm.mm wm.o mkuaoamm wflhOpmHHHomo oo.o mm.o om.o apogee wapopwaesomo 4H6 4.“:me wwpoflmfiflowo mm; tum 3.: wmofiom wwnopmaflomo ma.0 ON.H mmuo m~30 mH.O wafiflhmmm «wholymHHHomO mmé :m.o SJ“ no.0 Eamoosawm oopmoz deH mm.OH «O.N £30 mapmcwmg 9300093.: wa.:H mw.o mw.m om.mm wo.m ow.H mm.m mm.>H mm.; mmpwwamocogpno 8 9308932 M Ma...“ NH.N om.m em; 8.0 anmmpa mhnwohg ms.m Hw.m wa.H o~.m sm.H am.w mm.o ww.o ma.m asmeseeohmae menacem @o.o mpgopmoo mhnwcmq No.0 09H $5 ..Ewspmwm whnmfifi NN.O mH.O ocoo wmd Show maow NH.H No.0 Hw.o wm.0 moHSmeo Iowcamsnmm mmnmchq os.m om.o em.o mm.o engages eeeemamoaecaaso OHoO 02.0 HH.H ©M.H m.m.o ”N.O m:.o momma whamOHdQ .peoo mESSBZmom . . oz mwfimewm hfinpooe mo ommpeeonoa Hausa mmH wH.NH NH.mH mm.m mwwpoochwm fleece mnwsAdeuBmO. mo ..«HNEmOmOHmo MHIO OH.O mH.O mfioo mfiqo mwoo :J.O wamfiecmnm meowwxoone o mw.0 m;.0 00.0 Hm.o mm.H HH.m m H mm.H Escapze concomhpme m.m Hm.m EmEHcfiE coeuemspwe H 0 No.0 wflemwr .em> mcewowuvm:w m Emovocwom 0H.0 No.0 meowhpnoo .hwe mwmemfiaomo nssmwcwcvom wm.0 mH.0 mw5mwp msfiwoemcmom oa.c momfivmemfia .pmp wapmsopm masmweecmou a Eupmmghfl Edhpwmflemm _ Escmhnop Essemmwemm momma .ewp mowpmwaam wwpmhooo 00.0 mmmmpo mfipmhooo mH.o mo.H mm.o HH.H em.e em.e em.» em.c arouses; Esoooooeoaee mdeoououmoqmo ..<fififlom0qmo 250 O ) Noun: moon: l 00 MH.O wm.0 oa.0 m~.0 Hm.0 m0. 0 m o o m m a m m .nom .ws< hash mesa he: .nm¢ .Auz .poh .oww .000 .>oz eosaapaoewn.mm mamas 251 mH.o 0 mH.o Hm.0 mm.n 0 0 mo.H 00.0 mm.0 0m.m 0N.m mmmpcaomma mecca m... ... ...mhwfio. . ... diowbfio 02.0 mH.0 memwcwfimmqafi «HHeJOHohu H.0 3.0 0m.H an; £0 8.0 3.0 0:0 3028 «$8393 mH.0 HN.0 m>.H ::.m mdpmwemn wsomwvocfiomoo mag/lumbémo. . <fi§o ammo mm.H ao.m m0.m ma.H 2H.m 0 0 00.0 mm.m :0.NH ~0.:H $0.0 weanewm hHSpcoE mo owwpcooemm proa ugEOmOflwo 0m.0 8A 00.0 00.0 0 0 0 mod aim 2.0 2.0 Hm; $35980 H38. mafia? ELEM . . mm 0H.o 4H.0 mm.0 m~.H H~.m mp.o mo.H w~.: mwnmvewa .pa> wofinmmcss mfisowemz mw.mm m~.mm mfi.wH 50.0H ow.HH mm.mH 00.0 mm.Hm am.m~ 0m.mg 00.0m 00.0H «Hazmmoopaofi .sm> Humawsmn wH00H>wz and 5.0 S0 R6 13% 2.0 5:2 0.: mam RA 2.26% 3.9.52 No.0 Hm.o 00.0 wm.0 Hm.0 mfi.o Hm.o mm.0 0m.m upwvmmmdo «H00H>mz 05.0 00.; 0.: ~04 a; HH.H 2.; $0 mm.m 00d 32088.33 332.2 mm.0 mdwungoonun .ua> gpdpmswca «58050500 mH.0 m;.w uposuona .nue Edpmpnsmow «Eooozasoc :H.0 apnocwmmwno .na> mmcwoneenp «Hagensnm 9. Hw.0 mH.0 wwmsnoupm «apogem 5 3.0 5.0 mm; H .9. «H3250 No.0 ma.o 00.0 00.0 mm.H Nm.H m;.m mm.m am.w ma.m mw.m «Hungeoonome «HHotho mo.0 00.0 H0.: 4m.w 54.0 wo.~ 0m.H mwnflmmm mHHopEmo 25.0 wm.0 mwnwfisoauom 000:00000 mH.0 :m.0 00.H weapw> wwwcoooeoc< 50.0 NN.O mm.H mm.o m0.0 sw.H 05.0 «sawmwpscfla manpcacnod and $0 mm.m $0 3.0 0m; mmé 3.0 3.30 ..H mflamocmfi magpomonoa m0.o «afloxmam waspawc£0< mMHdzzmm..oz 085 e8 0.-.mm Ema. 253 No.0 onOHn wfinwanchm «0.0 SJ. 00.0 2.0 ”.0 .3. £00332 mn.o m .mm wwnomapez mm.w mm.o ow.o mm.o aw.NH mw.o NH.O «#mflfimpwmaonsm «£852 de NN.O am.H mmd ~.H.o mm.o mmHmQ gfiomNfimz aw.q mm.m mH.o mo.o NN.O mwmwoawfi manowupwz mm.o Esaspnrmm awcomupaz no.0 mm.o wwmswflo awnonupwz mad $6 #3. 3.0 mm; 3.0 m0.0 0m.0 33023038 «.2832 No.0 mnawum 256002 No.0 mm.o «pufisowau .na> uponoon «adoapuz MH.o mm.o om.o NN.O mm.H mm.wH wm.m wo.m ww.m mm.m mH.m «Hausa» .na> «mowwan «H50fl>mz mo.c manufismampoog .Hmp «Hausa afisowpaz mH.o NN.O mH.O Hm.o mm.o aowpgfi .pu> «Hausa «Havapwz 3.0 8.0 m0.0 «0.0 $338 38> «Hausa wasow>uz 3.0 no.0 R6 and 004 m0; 8.0 5.0 $2.. «5:? 233.32 .pqoo mMHoz @055“ 0.08 0|: . mm Emda mgm Ra; Kim 5.: aim Ram 32 8.3 00...... 3.0. 00.0... 03.0.. 33522085. owm_._Ewo.Hma H0018. 00.00000039an mm.mm H.0: 00.4w oméw mm.mm Hafimm ...Edfi 40.00 00.00 mméo ,0me i.e.; mmm.+:mopmn H309 05.3% . . 50030 BEEO No.0 mpmnpmmcwm 3.830an Hw.0 005058” 20063 -. Hmd 3.0 00.0 3.0093 0:95.56 .4 HN.0 00.0 0H.H mm.m 0m.0 H0.0 00.0 0m.m 00.. mL.H «0000 «fiveflmaogm .0080 main/Em . . 050.5 2&ch 0H m 0 0 0 0 0 .... m ; .... m 3.0.00 dam .mE... 516 05;. Law: 33.... .pm: .0600. 3.8.0 .000. :62 I I..l.l'. .. ..v-lun. I.i| W cascwpqo01u.mm mnmflunw mo pcwo 90¢ wo.m womfinmsoo mmflmoooooogxo 030 we whwpsme ammfimswm 0>Hpmpflpqmsw m hwnSo>oz :H "mamszp wfipmp Umwm m~.mm Hm.m: -.;m Hw.nm 0.4m Hm.mm 2;.wfl mw.m~ 00.00 0;.50 w0.mm ;;.Hm Hmpoa «Hammomwmmo wm.~m H.0: MEAN omém mm.mm 8.9 03.3 5.0» 00.3 mmdo $.mm +3.2 030500 mH.o o mm.o Hm.o mm.H o o mm.H No.0 mm.o om.m em.w mmflwgpcmo mm.H am.m mo.m 04.H :H.m o 0 00.0 mm.m :0.NH 50.;H 30.5 Hmpoe flpwpfipnwsw anpnoE mo coflpwnoafioo wmmpnmopmm newnfl>flm dam nmwnonx.gm mmmwe mecca eagerness o .ncsNe\m ca acme 905535 0 0:3 one EDHaneE < mafioou weaaewe e>wawpw ucoo unseen no can one was caxwp .equEwm m>auwuefim3 mopeQMUCH cesaoo mesa on» c“ o e cs wane wmpwquCH mo .vcmo emu em.a scene axes ca mflmsue>euce to stage Hesse or coE|m>flL esp pee wee nuquHHm on» L0 mam: posed a mxwa >Hzpcoe mo .mcpmr\or CH pcmnmua mes .eeauemm o>wuwufipcmnv axed r genes: maozs eHmch one «>Hmaes menus seem Ame.ov m AeN.ov e e Ane.ev m Aer.Nv m Ams.ov n ANM.OV q Asm.0v e AeH.HV s AmN.ov e Amm.ev e Ame.ev e Amm.ov s Are.nv Ne AeN.mv m AmN.ev Ne Aem.ev ee HH .mmz A.Nemexc mouncfle mnooooooucu spasm .e.u newsman .am> encepeceflH msuuoooonxu ccmeemeeeo nnofiuoCEHH msooouoouzu afiommwz wHoonmm mumcuocmcu< pwma ace umea mumwcomaw emamuocmcaa >Hemo use nausea Assocscesev mcmpcoe mevm>oac< “chmmcma synagogue mwpm>owc< .Q new .0 A.Npmoxv mHeEmep EDHHmcmEm¢ commwnwum Aflcwsmmcmgv enamowfiasunmne eeaamcwem< mmu¢uuouoomxu..IQOZ<>U .50 com .50 com .56 one 0E0 mm mxma coaume >Uopm cucoeamr pom mmmHm wCON coeeewa ucw wme Lo cowponwepceo m>prqucw3U uce m>wumuflamse we coqpmeezm|1.mm mumqe 264 AmH.Nv e AmN.NV e Ava.wv m m Ace.ov r r Aon.rv m m 398 m m Asn.ev F De Amm.ov m m Ams.ov e m AeN.eV e o Ams.ev m AmN.Nv m “om.ov m Aoe.ov m Ame.ov N Aom.ov m Aem.av m e Ase.ov N Ame.Nv e pmnocu mwpnmsoofi wwuomcneeceeou unmwmsz xofluwuaoe .um> ececoam mfinmmcenoceeou upcomeue emocwuwfioo .em: maficoom manomcnnezneou mCHNuumx mcacoaw mfleuecanocueou pocuom ~.noc>4v wfluummeap momcpomon .mecm: wmcwowuwcemn nannouuoooa>pomo acmEpeeeeu nwewaeoaomwe mwmuoouoooH>powo :coeuoeeou , EJUNHHoe sowuecnnoaeou some: eocwfiaoommz enquucomoHeou eocsuu enemas eswuecanofioou >semo cam pesouo nocw~uooxv nwum>oowcoe mapeHcooouou eeooomz A.Nsomxv manages» meooooooncu .pcou mmuIaoz<>u .20 con .50 new .50 009 .EU mN exma um:cwpcounu.mm momqe 265 eapqecom r N r mmomcwnneoe xwuspofleu nmN.NV e Aqn.ev e Ame.ev m Amm.ov e Aeo.NV a soceooex m m m m wxma mnemofiz< Aam.oV m Ame.ev e e .am 0 r ecomnmc< Ams.ov w ANm.rv e m .an N m ccewnmcq AeN.mV m AeN.ev e N .a. m r eccenmc< Aam.vv N r .en N ecownwc< on.ov N ccmeuoeeeu N ndcweem wcmmpuc< muo:aoz<>u Amr.ov e Arm.ov e .mmcoz w n r Neocuox msooooecox Amm.mv Ne Amo.mv Ne ANe.ev Ne Amm.ov m AFN.ev u esooumz Ne Nr Ne Or m mwmecwmauee unooeoocuec>m Amm.oV N Amm.ev m coonumunmo n F m woeuwaawomn moHooama ADN.OV N Arm.ov e “0N.rv m :cneuoeeou m n m enhance mwum>oouowz Aen.ev N .Nsmx A.chmv N wcmamfie mwvnxooeuwa .ucou mu4:aoz<>u .50 DO” .80 DON 0E0 DO? 0E0 mN flwa neocwucount.mn mqm m>nmc>o Amr.wv N pcoeou m EacmwemH3>fle w>nmc>u Aom.0v e Aeo.ev N ANe.ev m mcomecoa r N m mflammpsn w>nmc>u Amm.ov m Amm.Nv De Amo.mv m Aem.Nv m ccmenmeemu m we 0 Ne Namee>conmwc w>nmc>o moe>coemfl1 r weap>cafiam m>cmc>u Amm.ov r Aoq.Nv N ccmeuoeemo N N muuopcoo w>nmc>u 6 spasm .E.u % v Homeflm m>cmc>u Ahm.ov e Awm.Nv m Aer.rv w Amm.ov n ccmenwfiu Amcmuumsv a Dr m m Hflewepmmw e>cmc>u ANe.oV N Aen.Nv Ne Aom.ev De AeN.NV w pcoeom A.NsmexV N Nr er 0 moanemwotomCHmsemm m>nmc>u .am r mficoeevomoau Are.wv m Aem.ev m Aem.ov 0e are.ev e same .m.u m m Ne N EJEHCNE eseomamoeccfla>u .pcou mmuzaozq>u .50 can .50 DON .50 Dew .Eo mN oxea noDCHuCOUII.mm mqmqk 267 Aem.nV e Aem.ov e Amm.mv e a Amo.ev n noe.ev e Amm.ov e Amm.ev N Aem.ev e Aeo.ev m Aem.ev Aeo.ov Amm.mv NLOCDI"? Aem.mv Aem.ev e Ame.ev m Awe.ov e Aom.Nv m Aem.0v Awe.ov AeN.ov flee.mv Amm.Nv Ne AeN.ev m Ame.ov m Aee.ov N Amm.mV m Amm.ov m Aeo.ov w e Ame.ev e Ame.ev n e Amo.mv m m cuemm< .<.u mwscmp menopcaawomo mHHH>muo muaucmaam efleopmfififiomo pcoeou A.Npmmxv mpucmm Namepmaaflomo om< Ncmxo menopwfiaaomo sesame .a.u Acpomv mwoceHH wfleopmaaeomo >eem wmoeeoe menopmaaeowo pcoeou A.Npm3xv mcmoem mauppmaafiomo ecoeou eecuemma meeoemHHeomo N .am ooumoz mCNNpmmx enmousawu oopmoz om.”— NOGE mwcw>em .um> Nexcwe ooemoz pounce A.scev wcw>m>emz magmasuoz .Eou A.co:m>v wepwcwmm> memaooouoez .ucou mu4Iaoz<>u .50 Don .Eo DON .50 Dev .50 mN mxma um:cescou-n.mm momqe Ame.ev De ee Aem.eNv N N AeN.wv e AmN.eV m e 268 Aeo.Nv N N Amm.ev N Amm.ov e m Ame.ev N m Aem.Nv a De Amm.ov m flee.ev e Anm.eNv Ne Ne Ame.mV m m Ase.ov N n Ame.mv Ne Ne ANe.ev ee ee flee.ev Ne Ne Amm.ev m e Ame.ov e e AMN.DV N N nee.ev m e Amo.ev N N AeN.ov e e Ame.mv m ee flee.eev Ne Ne Aeo.ev e e Ame.ov e e Aem.mv N Amm.ev m m Aom.Nv ee Ne ANo.NeV ee ee Age.Nv e N Ame.ev a e pounce mace» memospomaa .mwcm: A.c:ouHxV emepea meeccpumac mficwecom escape: memcopomaa pcoeou A.m< .<.uv espwceoc: seepeeeoca .couu A.Npng mHHeE EDHUHEecLa umnoeo Aceuaeev wmcmuoweccwe EJNUHeeoza weaxm E:Eppoeoee agaveeeoca pcoeou A.Npemxv Eeueesa eeeceeeosa .eow escmececmh EJHUHEeOLa .m.u .Omm maweocm ezflcfleecca new; .m.u pm .2 eoewmmepmnmce EJNUHENQLQ pcoeou eonmenem Ejeceeeoce ccmeemeemu eecwofleem Esflueeeoca .ecou mu4Iaoz<>u .50 com .Eo OON «Eu our .Eu mN mwa emsceecouun.mm momee 269 AON.NV m m Amm.NNv w m Amm.nv n N Ase.ev n m N ANe.ev m m Ame.Nv N m AmN.Nv e e ANm.ev ee ee Aeo.nV e m ANN.mV Anm.ov e Ame.wV Ame.mv N Ame.ev m AQ0.0V m Amm.mv Ne Aee.ev e we Avm.Dv Ace.ev N Aem.ov m ANn.ev ee ADr.rv m Aem.ov ee Amm.Nv N Aom.ev n mupcwHLeO Hwewmm>maa waOEOHecompN pflmo>wfla smeascmem mmcoeoamzomee .um mucosa .am mcmamsu OMJOZDJDOM..IQDZDODDD OCNNemOx mwscmp xwezuoe>aoe pmsono Hemcmwx mooaae>m umpwumD mwammgom mafiaepwam pmaouo Awaaozv mHNwH3>Hu xwucuowwcum comum .< mfiopmeomH xwocpo~ecom OCNNmex mcmummomnm xaechNHLom pcoeou A.OIQD2<>D .Eo DDn .Eo DON .Eo DOV .eu mN mxwfi umscwpcou11.mm momIaDmDJID Nemmmmz embasoflmm> wflpm>uoooau Efimcummwo A.Nwmmxv mMOHO wfipm>oomoam mu4IQD¢D4:D .aw mmcoeon>EmHLO Needed Heeocm mmcoeovxemacu ppoommua EJmUHocme>a>Hoo mmcoeou>emH£D comma Hchepu mmcoeoc>emHLD mm44D>..IaDmDDID .am wmcoeofimcomue .ucou mm4<2u4DDu..IeD2u40:m .Eo DOD .Eo DON .eo DON oEU mN mme emacescou--.mm Numee . ..c . # , .. reset. ..w, 4. 271 Aem.ov a m Amm.mv Ne Ne Ame.ev e e Adm.rv N D ANe.ev Ne Ne Aom.ov 0e flee.ov e Aem.Nv ee Aom.ov N N AeN.NV m e Amo.mv e e noe.ov e N e Ace.av e e Aem.ev m a Ace.ov N Eflmzummwg wcwumensm mwpw>00D pmmg now some QOCHE .um> mowpeflaam mwpm>o0D pmmB .3 moNpeNHHm wepm>ooo xooeppfle wmwmuo mwpm>00D pmm? new pmmg esmmno Eowp>ooosamz spasm .E.u A.sEmov Humcummouo memocmeu umuoccmnom A.Ommzv mHooeenz esoooooeofizu x0caem>mm mHquH3> mHHmQOHLO OCHNNmOx NHCDMND meooooo>epom umamzucceum A.Omm2v Hacsmem meemmuouemflxc< mu4IQDDD4ID m .em EJHCOOOUOD N .aw eowcomovmo .pcou mu4:aDmDJIO .Eo DON .Eo DON .Eo mN mxwa emsceecouuu.mn Nomee 272 ANm.ev N n Awe.ev N N AeN.ov N ADr.Dv N ANe.ov N r Ame.Dv v .Aee.ev e e AFN.DV q ANN.ov e e Ame.ev e n AND.DV e m ANe.ov e m ANN.ev e a Amm.0v N ANN.DV N Ace.ev e m ANN.DV m ADO.DV m Ame.0v m ANN.eV m AeN.mv Age.mv N ADN.QV e Amo.ev e Ace.0v e Ace.ov m N Ase.ov m T“ Lseem .E.u Aeenoguv mcwemfieumoe .um> muzwuwenmeo moemmumcmom ppoowmue meomeucoo .nm> mecmHHoao mesmmomcmom spasm .E.O mmcocoe .um> moaspmwmmeucw mesmmcmcmom eflmcuwmmo A.ausev mmnhwn weemmumcmom ceeem .i.u mumNUNemea .em> mononuem mnemmcmcmom :pwew.z.u wwocwpwawm wwnmwcemopxcmaa umuozcmnmm Amnuouv conomepmp .uo> mmnumu eeupmmwvma weHmm A.ncmecwv mmuume esoummenma meeonflomm wnanO .me encompcw eoepmmwuwe Nxmuonflowm esmoanose .um: meazn enoumMHuma mHHHB enumflsnc: .um> encm>uom ezepmmwcma Ncacmmcmz A.ae3ev eecm>uom eoupmwwvma .ucou mu4IaDmD4:D .Eo DOD .Eu DON .Eo DOV .Eu mN wwa szcwpcoUIl.mn mqmmaxo< encwawosu couummepme mpwmmcw: Awuuouv Eswmnsmo coonmmuume spasm .E.O N>muefi mwemumoucom spasm .E.D A.Uocuv mcwomwmcoa .em> evacuauumae moemmcmcmom spasm .z.D kummz .um> mnemoweumoc woemmpmcmum .pcou DUDIQDDD4ID .Eo DOD .Eo DON .Eu DDr .Eu mN oxwa I'll." umncwucoull.mm u4m anaememou Lopq A.nmnmv enepmecm> EJNNNEmoD .3 new .3 enum>mam .Hw> meeocwcme EJHNeEmOD comwfinmem espmHSNUCDa EDHNMEmOD emHHHmooo Egmnpmeouswma sewememou umma .m.D pm .3 A.nwowmv escomocpeonom .mo EjaommmnaEN EJNHMEmOD nmemmo ezpmcmeo endemEmou mDnom eewomzm .em> eeoeepmeomm EJHNMEmou ecesmmcmz wep>epom esflewemou mHHHE HHN>HO anaemewoo commecmem enmoaomcm sowemewou mflewznowchH mmcmumcmo .em> mpmaomcm eowumemou mw4N..IQDDD4ID .Eo DOD .Eo DDN .Eo ODr .eo mN mxma Um::wvcouun.mm u4mIaozmm>a N .ew eoepwmeempm N .am ezpuwmuDMpm .pmueoz esmcwpxm .em> mesaeoeneo eoupmmusmem .QHmO HHpUHmecma asepmmoamem mowex A.Hewmv mcwmcwp .Nm> mamcmowecmmaenmcme mmaememmeofig Noe n.9eeeev memaewcw eopuwmnu uncommon ucm peoom ezpmeoomu .mo enuncocooa>c Eseummem Loam pom rampage ezcmowuem .NM: eswuanenm anaemumoHD N .ew enflumemou .ucou mmqN..IQDDDOID .Eo ODD .Eo ODN .Eo ODr .EO mN mxma emaceecou-u.mn Nomee Aen.ov N N ANm.ev m a Aem.Nev m m 276 e Ame.ev ee De Amm.ev m m Aom.oNv N m Aem.va N N Ace.av N N Aom.ov e e ANe.mO m m Ace.mv e N NON.OO e e Aom.Nv m m Demncwucm oHeHoow CONNDOCND ecceH mcmOpm>Hn co>enocwo mu4mID..:aom>mru cmcuwma xmflaeem m>uuonouoHcD umzomma mamcoHno mocpcmaamuoHLD “Noam mwegum mamasau>uuom mm4IQOD>DID .am EJHCNUHuma mmmxuuammpwnx NmHHHJ EJHCHUHema :cmeumeemq Essowamcoocw EDHCHUHNma Dempcmuzm AAHmDEV Espoceo EDHCNUHHma umncmnmo Esmumecoo eswcwnflem: cemem A.ncme£mv weaeome>fiza EDNCNuocmHD .ucou mmeIQDIDD>Q .Eo ODD .Eu DDN .Eo DON 0E0 mN exoa Dentavcoull.mm mom muamoaea mceNemgx A.ezuv moeampfl mowmoflmz .pcme mpmaamoo maawuoao>u DCNNmex wcwflcwsmmcme wHHmuoHo>D mceNemex A.NLNV meaeoo.maampoHo>D .cneD wspmmcflanem mnomflnoceomou .cmecu moumwcme maomflnocaumou DD4IQDD>DID emcumma eocmwNeom cowcewzpommco mu4mID..<»>IaOm>m:D ccmeemeemq AmCHmeDV mcmoeemem memaoceflooo: ccmecomm Accopmv escwoeemem .em> mHmwoom co>eDOCND .pcou mm4DID..IaDm>mID .Eo DOD .Eo DDN .Eo DON .EU mN mxwa emnceecouuu.mn Nemee 1 7 WMWJ N .am e mwmcoooou .I.> A.ucuv wpmmcwfi .em> waopcmowaa wflmcoooou .Ncu mwemasowumu mwmcoooou N .am e mwmcofimu mmmI e cmeenoe mHHmcowumpm< Ame.ov n ANm.oO m ANe.OV m .csau Dr N Dr Nr mmepfl> wwmcomoeocq Aem.ev e Nsex e mpmcm> meccae< Amm.DV O ADN.DV N Nqu m Ne Ne Dr N meHmmHuscwe mmcpcmccoq .csuu MHDDU .Nm> w m mumaomocma mmcucmccoq Ame.ev De Aeo.ev m Ame.ev m ceesm .o.I geese .me N Ne Ne Ne ee mwemmcwfi mmcpcmcco< .cseu A.Em .gv v e N De mflnmmcwa mmcpcmczo< .CJND A.NpOxv e N mHmemHm wmcpcmccuq .csuD e e mnmwxm mmcucmccoq mu4Iaom>mIO Aon.ov N Aem.ov N Aom.mv e e e 278 .eu ODD .eo DON .eo DON .50 ON mxma Dmncwucoull.mm u4m mpmccwa mwummfimmau coppwx mflmcmcopogo magmawmmpu .czuu A.u;mv mcmnpyncou magmawmmnu .cnuu mpmwyvmw>mun mwanHmmNL .uzu muazummua mapocam pmuozcmnmm A.Npmmxv nocwe .um> mwamcwpoma mwpocnm e .nm wHHmnE>u GCHprox EJmOOHuvco> mHHmnE>u Nuomwuo muwmuap mHHmnE>u .CDHU mfimcumoouoae mHHmnE>u xouamI cw> Afipsxv MAMHDUME .um> masumwo mHHmnE>u .Nuox mwcemmm mHHmnENN .pcou mmg<22ma..1aom>m:u .Eo Don .Eu DON .50 Dee 0E0 mN mxmfl um:ce»cou-u.mm u4mmz .anm A.Npuxv mpmcm> .pm> mamnumoopQNNU 0H30H>wz npax mamcamooua>nu mazow>mz .Ncm mumpfiamu wanofl>m2 .I.> Ammamzv esaowuvmcoo .um> mnwazuuwu cowuflgmz e .uw memcocaeou socsuw A.Numxv EDH3>uma memconaeou .cauu mfluwoan> .mm> Ezmom>HHo msmconueoo Npmx A m>nmc>4v eamom>wao newcozanu .canu A>uoomnuv mammcaooumm .pm> espwuwnmcm memcogaeoo .cauu mausuona .pm> enumpmnmcm mEmcogaeou mmom A.Em .3 xm .nmnmv wfl>nmCNmmmNu .Nm> mmnwoneocp mwmnpmzuu .pcou mu4:aom>qu «so can .Eo DON .50 Dee .Eo mN mxmfl toacwucou31.mn u4m wasaga maauw>mz Hm>m2 ucm .>xm weapflamo .uw: wanaza mH20w>mz .cnuu AmmHHIv mamaznc: .um> mowuze mazow>wz ems: mafiaoup .um> mowpze wazow>mz .CJND AmeNIV Nassau .um> moflpse manow>mz npmx muwpse masum>mz .csuu wEHcHE manofl>mz Npmx A.mmz anpme mwnmmcaa .pw> moanmmcvn mH30H>mz .ppma A.::uu xm .nmpmv meLamoopamH .Nm> Humamamg masuw>mz .cauu wumfimnmz .um> Humamam: maaowpwz ume mwmwnomu maaow>mz .ucou mmq<22mn..1aom>mxu .50 Don .Eo DON .Eo DDe oEO mN mme Dmacwpcoutl.mn u4mmz q .am manofl>mz m .aw manofl>mz N .am mH30N>mz e .am MH30N>m2 mpmHO A.NquV mpmHHmumou .um> wannaufl> masow>mz Npom A.NH:E .N.ov wumuocsawgp mH30H>m2 .upma mwmmnoflum .Nm> mpmuumm mfigow>mz «capo A.Npox xm .nmnmv mHHmcmp .um> mmowumn mH30N>m2 Nqu mmownmp 0H39N>mz .czpu A.Dmuwv maumHJOCMpumu .um> Manusa mfiaow>wz Npax manasa .pm> magnum m~30q>m2 .pcou mm4raom>qu .Eo DOn .Eu DDN .Eo DDe .so mN mxma Ill." nmacwucounn.mm udm mampmamcm mwcumwuflz pumpwax mmuwowumHnuwum mwcowwuflz .HD A.N£mv EJNOJU eawnflg .NNNLN A.NLND mcHLLm Enwufiz .pcou muqIaOm>mIO mumHHmpHamoanm .Eo DDm .Eo ODN .Eu DDe .Eu mN mxwa umDCNucoull.mm u4m mcmusau mpumc>m nm>om meUCH qumCNm Npr wowamemm wpvmc>m Dchmex mpmzmcm maflmnflpnm awn: A.pcmv mflawumgm .mm couwucmowcmoca mwmcopzmpm .Heaz .o A.Ncmv «anew wfluoflmaocm e .am mflpmflzccwa comapmu mwpmazmcmpomn .nm> mwammuon magmaaccwa J Dmuo , mawuwn wHNMHJCCHa q .aw manomnpflz m .am mflcomprz N .am fl mwcomwpwz D e .Dw mwcowNqu .ucou ODOOZZDQ..IOOO>OIO .50 Don .Eo DON .Eo DDe «so mN mxma Dmacwucoull.mm u4mHo> o H m H c o c o H o .. o . o . dQEOH/EHODH o H m H o o o a H o o o o o o anwufivadm mH mm Hm NH 0H MH MH hm mH mH NH mH mm NH 0N dawmmozoz penance ov nonempoz .noanean opspmpaaasu oxufl new 26669 upwpmpaaasw op neowpsnaupcoo usage new sowna>wm so egmssemun.mm mHmae I‘ll. . Infill-it... 296 mm a... .5 c; we mm mm 8 R an .c _.. H... mm C 8 8.2 66% .38. fl mm mm 2 R ma Q E R 5 as am i .9. a sites .5 mm «N S om S 8 mm 5m m.” a 6m mm as am .....fleama o H H J o n H m N o c c N N mnmfimhfiflmu o o O o o o I I I H e o o I mmHNICHvHPO “Km—HBO . . . . m . . . . m . . . . M $33.55 wheeze N . . . . N H H . . m N H . . “4.3800006me I I o N I o c 0 N o o o a a ....u ,E.EOHIH~H&L1E o c o I N I c o o N I o o o . D0HN..HC.M UH .Hmnm u m. S . fl m c. as we 1 m S S m r H .aeemomogmo . m . a . . a m H . N m a. . mmfiwpwEocwxm N m o . N. N w NH m N m 3. NH m . m3. m 000 00.830 . . . C O . I I I C C H O E I memlohflomonwO . . . . H. . . . . . a . . . . mwflweomswapmm N H H 0 N H I I o N H I o o a WWHNOONVHOD I O I a I I a I I o H N H I d.HE.1!H.EO 25 wam I o. I I o I I o o v o H N ....u o W$HNC®HWfiW ma 3 S e 3 ma mm mm mm as 3 mm ... w a m 6.6. 535.85,. a ca 3 fl 6 S S ... ma 2 .6. .5 c N S as Q ”mascomofiom m. m a H a m m N. L w w 8.. N “w .c. mmfimocoooosso 00m 00 N OOH m N 9:3 can 00 N OOH m N 9:5 0cm 8 N 93 m N 9:3” Emma :96; .2..Hm:.m...pem 111.1 I- 11.1....1 lltuiLilll .I.. 11.1.... Ill]- soefipcomntsm mamas 297 0H m; am mo 0% NN H; Hm mm mN on mm mm om HN anowNm HmHoH o HN on on em HH NH mN Hm oN HH mN mN Hm om HHHmmomHmmo m NH mN mm an m NH ON on mN HH NN HN om mN NOHmccmm . H H m N . . N H H . . N H N monHpcmo . . . . . . . . . . . . . . . umHm£0HNp0mznso . . . . . . . . . . . . . m monUNCOEUmkkco m H . . . N H H . . m H . . . monooooopmpm: . H . . H . . . . H . . . . m HHHmNomHmHN . n J o . . . H . o . . m mmHmwGH wwhwm m H HH N mN H m OH w NN H OH mH 0 ON HHHHHONCHNC . m m NH . . m N HH . . m H H mmHmHNENcwHN H a w m 0H m m w : NH N 0H 0H m NH nonooooONOHso . . . . m . . . . m . . . . H memHCONOUmO . . . . . . . . . . . . . . H memhoammppma N . . . . H . . . H N . . . N nonoo>Ho> . H . H . . H H . . . . H . . HHHmmozmHo:m . H . H . . H H . . . . H . . andcmHmsm H ON MN mN mN NH oN NH NH oN NH 0N NN NH NH HHNNNQHHHO m mH mH oN NH w NH NH mH OH H NH NH OH H anmcomoagom H m a m MH : : m m 0H J b m N HH mmHmooooOOHSQ 00m 00 N OOH m N ode COM. 00 N we m m N 93H. 00m 90m ...VOH m N mxmfl hHaw mcsw hmz umquHcooun.Nm HHmHH 298 MH mN m; om Nm NH NN m; No mN mH mm a; mm mm noHomgn proN m MM MN HN NN w mH NH NN mm N NH mN Hm mm HNHmmcmHmmo . . H NN NH m HH NH NN Hm w NH NN NN mm MOHmcgoN . . w m N . . H H H . . H m . anmgpumo . . . . . . . . . . . . . . . anwnoanOnNhno . . . . m . . . . H . . . . . mmHmcmcosonNNHu . . . . . H . . . H H . . . anNOQOQONovm: . . . . m H . . . N . . . . N HNHmmommHHN H m . . . N . . . . N noHanHanyN . m m o «H H N n HH HN m N o m mN «NHmNOHOHmo H N N . . H 0 NH . . N a :H noHameocmNN m m m a w H N N m NH N N a m OH mmHuooooONOHsD . m . . H . . . . . . . . . . nonHaowouoo . . . . . . . . . . . . . . . anwnoanwnpoa . . . . . . . . . . H . . . H onwoo>Ho> . . . H . . . . H . . H . H . HNHmNozmHopm H . . . H . . H . H . memanmsm N m HN mH NH m OH HN NN NH m NH oN HN NH HHHNNOZHHO ; M NH ;H N H m ON NH m N HH 0H NH w mechonnom m N N m OH 4 H a m m H H a N w monoooooonno 00m DON OOH mm owa 00m DON OOH MN axNH 00m OON OOH mm wwa uncapoo nonsopaom pnsmgH uoanpgoo1u.Nm HHmHN 299 25 cm. interval. with respect to the Hormogonales and Chroococcales, and with the exception of July and August, the greatest numbers of species were reported at the 100 or 200 cm. interval rather than at 25 or 300 cm. Consideration of Table 38 shows that only in January, February, April, and May did exception occur to the gradual decline in species abundance landward From the shoreline. The April-May exception can be explained by the disruption of the substrate during those months. By June, the qualitative population of the 25 and 100 cm. intervals essentially was back to ”normal" March levels. The January-February exception may be partially explained by increases in the number of species of Hormogonales at the 100, 200, and 300 cm. intervals to levels not reached at any other time of year. Although qualitative seasonal variation in the algae of lake and beach transect was evident at each col- lection site and has been discussed previously For each site, seasonal variation at the Order level -- except For the Hormogonales -- For the entire transect was not so evident. Further reference to seasonal variation will be Found later in this chapter. Table 39 includes a summary of quantitative data From tables 15, 19, 23, 2?, and 31 with respect to total number of individual algae per cc. monthly From lake and beach transect intervals during the 12-month sampling period. Figure 35 presents the same data in histogram Form 300 ,HmH weooN DNomNN omNm seam memN eeNm DNNe mew Near mNae mom Noam \mwmw Nae que Nm Nm an we me me He ea Nd mm mme mmHeN NHNmn mmem soNeN sts NQNN seer NNNN meme weeeN mmmmN NNNNm mN NNNNN mNmNN aeNqN NmHHN somee eNeoe News mNNee NmmNH smear aNmem NmeN DON Nome mNNN eHNH NNNm NmNN amonm ammo emsoN mmmme News mesm NNNQN QDN HNNN mNNN meme mmme ween owes NNem Nemm ooeme emNme NsNNe NHNN OOH .uuo .awm .o:< NHon econ Nag .ma< .pma .cmu .cmn .uma .>oz mHm>umHCH uummcmuu comma cam mme .HmDOHoo Lasagna HmnEw>oz .wwHaemm m>HpmpHpcm3U CH name no .uu emu meocw>Hccw No umaeoc prop .mpmn m>pruHHcm3U Lo Numeesmlu.mm mqqu .uoasam 9335:45 mo .8 Lam 333:?“ mo..spsa H33 a 301 .nHw>hop:fi pommzmnp comma new oxmfl no .wmv mbfipwwwpcwww mo againsnlra m agenopoo 5 inc $8 .nom a [CA w a O ...... w fig 3 H. M n a lo om » SQSH a a a 10.8 A O /b . .\ .mv 1 9%. hfidw much am: .nmc .pmz .pwm .me .oma .>02 0 m .md¢ wronfip amnEmpoz mm .Lm 'qdexfi SEQ: uo uozqeaodaoou; no; OOOIX 30 10402; e Aq paptdlqtnm pus 'oo Jed emsguefigo oq paqaaAuoo pueq seq Jaqgt/cwszuefixo ‘uoqxuetd axet aog* *‘oo Jed stenpgALpu; JO spuesnoqq 302 For better visualization 0F relative monthly changes in quantitative abundance. To Facilitate construction oF Figure 35, For lake plankton organisms per liter has been converted to organisms per cc. and multiplied by a Factor 0F x1000. Figure 35 should be compared with Figures 25, 27, 29, 31, and 33 which present in graph Form total number oF individual algae per liter (lake) or cc. 0F sand (beach transect intervals) For lake, 300, 200, 100, and 25 cm. beach intervals respectively. Reference to Figure 35 and to Figures 25, 27, 29, 31, and 33 reveals the marked dissimilitude in quantita- tive abundance exhibited monthly by the algae at the Five collection sites. Seasonal Fluctuation in quantitative abundance at each collection site during the 12—month collection period has been discussed in some length in previous sections oF this chapter. Figures 25 and 35 indicate that the density 0F phytoplankton within the lake underwent a decline From 5801 individuals/liter in November to the 12—month 10w OF 345 individuals/liter in March after Four months 0F lake surface ice cover. Sub- sequent to ice break-up, density of phytoplankton began gradual increase to a maximum 0F 119,010 individuals/liter in the September 5 collection, Followed by an abrupt decline to the October 10 density oF 10,048 individuals/ liter. None oF the beach intervals showed patterns in Quantitative abundance seaSOnal variation similar to that 303 of the lake. All beach intervals exhibited maxima in algae density during the Four~month period when the beach substrate was Frozen. At the 25 cm. interval, maximum 12-month density oF 75,955/cc. was recorded in December 8 collections, the same collection date that the 100 cm. interval maximum algae density oF 31,926 individUals/cc. 0F sand was reported. The 12-month density maximum oF 13,296 individuals/cc. was reported at the 300 cm. interval in January 4 samples, but the 200 cm. interval maximum 0F 65,559 was not reached until the February 5 collection. Subsequent to the December 8 collection, density oF the algal component 0F the psammonFlora at the 25 cm. interval began a gradual and unbroken decline to the April 6 minimum oF 1186 individuals/cc 0F sand. At the 100 cm. interval, however, the pattern oF December density increase From lower November levels Followed by decline to an April 6 12-month minimum was modiFied. Following a January 4 density level oF 10,369 individuals per cc., a February and march partial recovery to a march 6 density oF 14,229 individuals/cc. occurred before the density decline resumed to the April 6 minimum 0F 40”? individuals/ cc. At the 200 cm. interval, the decline in numbers oF algae From the February maximum to the April 6 level of 9555 individuals/cc. of sand was perhaps more pronounced nterval with respect to magnitude ‘4. than at any other beach L‘ in number decrease (see :igure 29). As occurred at the 200 cm. interval the decline in number oF al as From 7 304 winter maxima to flarch—April minima was abrupt and pre- cipitous at the 300 cm. interval. At each beach interval, an algal density maximum occurring during the December-March period was Followed by a more or less rapid decline to a markedly reduced level in April (25 and 100 cm. intervals) or March 6 (200 and 300 cm. intervals) quantitative samples. At each beach interval, this decline was Followed by an increase in quantitative abundance oF algae to a level approaching or exceeding that oF the November collections but Far short oF the December—March maxima. For the 25 cm. interval the secondary maximum of 26, 194 individuals/cc. was not reached until the July 6 collection, the same date upon which the 100 cm. interval secondary maximum 0F 23,451 individuals/cc. oF sand was reported. Recovery at the 200 and 300 cm. intervals was more rapid, the secondary maximum 0F 33,038 individuals/cc. occurring in the may 6 collection at the 200 cm. interval and that of 9422 individuals/cc. occurring on April 6 For the 300 cm. interval. Subsequent to the secondary peak in algal quanti— tative density, a general decline in density took place at the 300, 200, and 100 cm. intervals until the October termination 0F the 12-month study. At the 300 cm. interval, the October algae density was approximately one—eighth that of the November level and about one—third that oF the March depression. The October algae density at the 305 200 cm. interval was approximately one-tenth that of November and one-ninth that of the April depression. At the 100 cm. interval, however, the October density was approximately 1% times that of November and three times that of the April depression. But at the 25 cm. interval, the October density was about half that of November and 20 times that of the April-May period of disrupted sub- strate. During the July-October period, algae abundance at the 25 cm. interval fluctuated irregularly From 9677 to 35,711 individuals per cc. of sand. Thus, in summary of Figure 35 and Table 39, it is seen that a more or less inverse relationship in quantita- tive algae abundance was evidenced between the lake and each beach transect interval. The Further From the lake, the more pronounced this inverse relationship became. maxima in quantitative algae abundance For all beach interVals occUrred during the December-March period when the beach substrate was congealed by low temperature. At each interval, the winter maximum was Followed by a decline in algae abundance to a March or April depression, Followed by a more or less gradual recovery in May (300 and ZOO cm.) or July (25 and 100 cm. intervals) at levels approaching or exceeding those present in November at the initiation of the study. After this recovery, a gradUal decline occurred in algae abundance to October record low levels (ZOO and 300 cm.) or levels appreciably lower than those of the early summer recovery period (25 and 100 cm. intervals). 306 Table 40 presents in tabular Form a comparison oF relative monthly quantitative abundance oF algal indi— viduals in the beach transect intervals, November through October, with respect to lake phytoplankton density as individuals per cc. oF sample. Each month the number oF phytoplankters present per cc. oF quantitative samples has been divided into the total number oF individual algae per cc. at each beach interval in order to illus- trate the relative density at each interval with reFerence to the density oF phytoplankton. Figure 36 presents the same information in graph Form For better visualization oF the data. Data From Table 40 should be compared with those presented on Table 39 For better realization oF the significance oF relative monthly quantitative abundance. IF relative nUmber oF organisms per cc. oF sample is considered an index oF productivity, then reFerence to Table 40 and Figure 36 suggests that the psammon zone, particularly 100 cm. or less From the shoreline, was a remarkably productive environment when compared with the water oF Reach A1 oFFshore From the beach transect. In December, For instance, each cc. oF sand at the 25 cm. interval had an algal density 114,523 times that oF each cc. oF water collected From the lake the same date. Field notes taken during the December-march period when the beach substrate was Frozen make reFerence to the con- spicuous bluengreen color oF the beach, particularly in January and February. In February and March, it was noted .npcoe meme map as coaecmaeoaesa mesa mo page o.HoeN we: Hepaapqe .EO OOH was . pm wmwfim Mo meaneov exp «mmflmemw Henge :H .39:05 came one ca .00 non copxewfiaoehsm mxmfi Mo hpwmcep amp mmeflp o Hmww um: Hw>hepefl .50 mm one pa acme mo .00 sea emmfim mo mpflmcoa esp “mmaaemm e>apmeapewev menswpoz pH " mesa magma ewes 3.0mH m.mH a.emm H.;mm m.mmoH O.NHF H.mmmm o.mmmoa H.mmoNH N.Hmmwa m.memma N.ONJH com ;.mmH m.mH m.wmm w.HmeH m.H©m H.3emm m.smom m.eammm m.osmoa o.wwsw m.mmaw s.amma 00m 307 m.N~HH m.oaa m.w::~ o.moo; .u.HHms w.HaoN o.HaeN s.msmfig e.oomHH p.0eooa m.mmams H.emma 00H n.5N4N m.-m 0.0QaH H.wesm m.emea m.NsH O.OPQ e.mmmmw N.owam a.eaasm m.msmsaa o.HN®w mm o.H o.H o.H o.H o.H o.H o.~ o.a o.H o.H c.H o.H meme .ppo .Qom .wea masw ones he; .paa .uwz .pmm .cww .omm .>oz hpflmcmc coaxcmfiaophza mxma op pomammn new: .pmpoeoo smsonsp nepEo>oz .nHw>nwch pommcmap gommn ca emMHm mo possesses m>wpmpfipcwea maspcoe m>wpmHmmnu.o: mqmumvcfl .Eu 0N map 0cm mme pom or.u : Nlu .mm a mum mma a . H Emw w . mN 0cm mme Lyon on coeeoo e .om m rm mcowpomafioo m>wpmpwpcw3a m umnem>om ”move“ so . m . . zlltlwsamznp magma ummx ur.NN om.0e mm.0r mm.qn an mm 0 mm 00 m e0.om an.mm mq.mm mm.qm . . ” $00? 0 m m m N r? NP Mr Q? Q? NMVNN DWVNP QOWme> mm.oN rm.wr mN.oN rr.mr 0m.rr r0.qm we.or Nm.rN mm.NN 0m.mN ww.mm mm. V . . 0.ee a e a e we me me ea me me mam( nmeem som0ew> an.nm w0..em N0.wm Ne.mm em.ss wr.om ar.os . . >.uw m we we we we or 0r mm am me rm mmrem comarm> qm.rr 00.0 a<.mw c0.mw wo.q ow.me mm.q en.m mm.me a0.wr mo.er om.mr ms. . e.e m a m m a m m m «a we ea Dane aommwm> 0N.Nn mo.mr m<.mw re.em 0r.wr mm.oe sm.mq rr.m< 00.0N om.qN om.ns rN.mN mm.oq . m.mr m m m we 0 m 0 me am we we em oommww> mm.0q wr.uq o>.wm rw.rq 00.00 er.mq mm.0s N0.0N 00.00 0N.mq 0q.0s mm.oq aw.0m oar .m: O.NN am um um mm or m 0 on mm mm 0N or mm % D0.0 an.r 00.0 Q0.0 m>.q mq.mr 00.0 00.0 mm.mw 0m.rr em.v Nm.m mr.m com .m> 3 0.0 v m n q q 0 w m 0 m m 0 mxma 0m. Ooh m m m m M m 0 0 rr 0 N Nr mxwa rm.pw 00.5 00.0« om.mr mq.mr mo.qm 00.0r wq.mw r¢.rm qw.mr Nm.0r rm.wm mm.mm oar .m> o.ev we we 0N me we we we we we we Na Na oxma Nm.0r 0o.m 00.0 mo.me w0.mr mm.mw oq.m om.0 nm.mr Nm.m >0.er 00.0r or.em 0N .m> 0.Nr mr mm me or m n m m 0 re me rm mxma coma .uoo .qmm .m:< >Hzfi meow >wz .pa< .Hma .nmu .cmw .omo .>oz umpwmupcoo mam>mmucH nonopoo op nonem>oz >Hcpcoe .mam>umpcw nommcmup comma 0cm mme .coeeoo cw mmflumam 0cm >uwcoeeoo Lo mpcmwuwmmmounn.mq mumqe ,.»,,fi.ll . .— @345.» eves”. (A 329 Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sep. Oct. I l l I 1 l 45 I ) l l ' lake vs. 25 40 ‘ /\ -—-——--1ake vs. 100 / \ -—-'---lake vs. 200 35 _ . - "“‘-“'-lake vs. 300 coefficient of community 0 N m o m o ..x U1 .3 D a.‘ O Fig. 38.-—Community coeFFicients for Reach A1 and Four beach transect intervals monthly, November to October. month to month basis as it was in 12-month means. When only the number of species shared monthly by Reach A1 and the beach transect intervals is considered, a pro- gressive decrease in number of species shared From the 100 cm. to the 300 cm. interval is apparent all 12 months, although in three months two intervals had the same number of species in common. With respect to community coefficient, the value (C) exhibited a progressive de- crease From the 100 to 380 cm. interval in only seven months. From November to January and in July, the 330 composition 0F the algal community 0F Reach A1 showed a closer similarity to that oF the 208 cm. interval than to other beach intervals. But in March the value For C was lowest oF all beach intervals. These anomalies were largely attributable to wide Fluctuations in abundance oF Phormidium angustissimum throughout the year and along the transect. Figure 39 presents in graph Form the C relation- shipscf the 25 cm. interval with Reach A1 and the other beach transect intervals monthly November to October. ReFerence to Table 42 reveals that on the basis 0F 12- month means 0F both number oF species and relative abundance oF species shared in common the algae community at the 25 cm. interval was most similar to that 0F the 100 cm. interval and least similar to that at the 300 cm. interval. when the 25 cm. interval algae community was compared with that oF Reach A1, and the 108, 200, and 300 cm. intervals, the monthly mean number 0F species shared in common was respectively 12.8, 22.0, 12.3, and 7.6. The monthly mean C values For the 25 cm. interval in relationship to Reach A1 and the 180, 200, and 300 cm. intervals were respectively 16.52, 48.85, 32.76, and 11.54. Figure 39 indicates that the month by month C relationships oF the 25 cm. interval to Reach A1 and the other beach transect intervals showed considerable varia- tion. with only an August exception, however, the C 331 60Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sep. Oct. I | I | | I I 5 I I lake vs. 25 -- ———1OO vs. 25 \——-——-——200 vs. 25,} \ -------- o-SOO vs. 25/\ / \ I N (A LA 35 J-\ 01 U1 01 0 U1 C3 (II D U1 1 \ / \ / z N C3 coeFFicient of community (C) _a U1 .3 C3 O . Fig. 39.--Community coeFFicients For the 25 cm. interval in relationship to Reach A1 and other beach transect intervals monthly, November to October. relationship 0F the 25 cm. interVal to the 100 and ZOO cm. intervals was clearly greater than that OF Reach A1 and the BOO cm. interVal. For eight oF the 12 months the algal Flora at the 25 cm. interval was most similar to that oF the 100 cm. interval, and in nine oF the 12 months 332 it was least similar to that oF the 300 cm. interval. In February, March, and August the lowest C relationships oF the 25 cm. interval to other collection sites were those oF the 25 cm. interval and Reach A1. The month by month C relationships oF the 100 cm. interval to Reach A1 and other beach transect intervals are presented in Figure 40. Table 42 indicates that when the 100 cm. interval algae community is compared with those oF Reach A1 and the 25, 200, and 300 cm. intervals, the monthly mean number oF species shared in common was respectively 14.0, 22.0, 17.7, and 11.6. In 100 cm. interval relationships to Reach A1 and the 25, 200, and 300 cm. intervals, the monthly mean values For C were respectively 17.21, 46.85, 33.34, and 20.89. ReFerence to Figure 40 reveals that -— as was true with Reach A1 and with the 25 cm. interval ~- month by month C relationships between the 100 cm. inter- val and Reach A1 and the other beach transect intervals were highly variable. It is evident, however, that C relationships between the 100 cm. interval and the 200 and 25 cm. intervals were consistently higher than these between the 100 cm. interval and Reach A1 and the 300 cm. interval. In nine 0F 12 months the C value For the algae at the 100 cm. interval indicated closest similarity to the algae community at the 25 cm. interval. In December, January, and August only was the 100 cm. interval C value greater at the 200 cm. interval than at the 25 cm. 333 Nov. Dec. Jan. Feb. Mar. Apr. may June July Aug. Sep. Oct. A 55 .\ A /\ I \ \ /\ / \ / \ \ I 1 // \ I \ 50 - \ \ I, \ ./ \ I \ \ \, / ‘ I I \\ A, \ \ / ,\.\/ ‘ .’ \l" \ €345 — \ . : \ I f - Y V \// \ ‘ I '\ 7\’ ‘ > \'/ - \ / / . -!\ v 40 - , \ ‘ / ' \ I é, \. i , ' \ / g 35 - \ ‘ I / ' U . . ‘ - - / . \ l / \ . % 30 - '3' a \\' \ / ' / 1: ' \‘ / \' ' I) 3 25 ' ...4 Q. 0.. 320 ‘° 0 . \. ‘ 15 \\ 10 - 100 vs. ————— 100 vs. 25 _____ 1.3!] vs. 200 5 _ .......... 100 V3. 300 0 Fig. 40.--Community coeFFicients For the 100 cm. interval in relationship to Reach A and other beach transect intervals monthly, November to October. interval. similarity between the algal community at the 100 cm. interval was greater at the 300 cm. interval than in Reach A1. Both monthly means and Figure 40 suggest that 334 Figure 41 Presents in graph Form the monthly coeFFicient oF community relationships between the ZOO cm. interval and Reach A1 and the other beach transect in- tervals. When the 200 cm. interval algal community was compared with that oF Reach A1 and the 25, 100, and 300 cm. intervals, the monthly mean number oF species shared Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sep. Oct. I l I I I I | 50 - 45 - 20 ' ..A 01 I A O coeFFicient oF community (C) ao-aacoIZOO V8. 300 Fig. 41.-—Community coeFFicients For the 200 cm. interVal in relationship to Reach A and other beach transect intervals monthly, November to October. 335 in common in quantitative samples was respectively 7.0, 12.3, 17.7, and 10.8. The monthly mean values For C For the 200 cm. interval in relationship to Reach A1 and the 25, 100, and 300 cm. intervals were respectively 14.86, 32.76, 33.34, and 22.17. On the basis oF 1Z-month means, thereFore, the algae community at the 200 cm. interval apparently was most similar to that at the 100 cm. in- terval and least similar to that in Reach A1. ReFerence to Figure 41 indicates that month by month C values For the algal cemmunity at the 200 cm. interval in comparison to the communities in Reach A1 and the other beach intervals along the transect were very variable. In only six 0F 12 months was the greatest C value oF the 200 cm. interval between it and 100 cm. interval. In Five months the 200 cm. interval C value was greatest when compared with the 25 cm. interval. In December, the coeFFicient 0F community was highest between the 200 cm. interval and Reach A1. The C value in December, however, was based on only seven species shared in common between Reach A1 and the 200 cm. interval in quantitative samples, and 28.2 oF the 42.6 C value was contributed by the species Phormidium anqustissimgm. Large numbers oF this taxon were responsible as well, it would appear, For the anomalies in the April and may C values where closest similarity was indicated DBtWBBH the 200 and 25 cm. intervals rather than 200 and 100 cm. intervals. 336 Month by month C relationships of the 300 cm. interval algal community to communities in Reach A1 and the 25, 100, and 200 cm. beach transect intervals are presented in Figure 42. When the 300 cm. community was compared with those 0F Reach A1 and the 25, 100, and 200 cm. intervals, the monthly mean numbers of species shared in common were respectively 5.0, 7.6, 11.6, and 10.8. In 300 cm. interval relationships to Reach A1 and the 25, 100, and 200 cm. intervals, however, the monthly mean values For C were respectively 6.60, 11.54, 20.89, Nov. Dec. Jan. Feb. Mar. Apr. May June July Aug. Sep. Oct. 40 300 vs. lake 35 . ————— 300 vs. 25 . ——.——-— 300 vs. 100 j /\_ ......... 300 vs. 200 30 ‘ N 0'! ..3 U1 _\ CD coeFFicient oF community (C) N O U1 Fig. 4Z.--Community coeFFicients For the 300 cm. interval in relationship to Reach A1 and the other beach transect intervals monthly, November to October. 337 and 22.17. Thus, it would appear that on the basis oF 12-month means a clear dimunition oF similarity in com- munity structure to that at the 300 cm. interval was evident with closer approximation to the shoreline. Figure 42 and Table 42 suggest, therefore, that the algal community at the 300 cm. interval was most similar to that of the 200 cm. interval and least like that in Reach A1. Although month by month C values For the 300 cm. interval in relationship to the other collection sites showed considerable variation, Figure 42 indicates that throughout the year the algal community at the 300 cm. interval was least similar to those in Reach A1 and at the 25 cm. interval and most similar to those at the 200 and 100 cm. intervals. There was, however, considerable monthly Fluctuation in which oF the two closest sites had algae communities most like that oF the 300 cm. interval. In only Four 0F 12 months was the C value be— tween the 300 cm. and 200 cm. intervals higher than that 0F the 300 and 100 cm. intervals. Table 43 presents a summary oF 12-month means For value C and number oF species shared in common by each collection site in relationship to the other Four. As has been previously stated, the C value and number oF species shared by the algal community oF Reach A1 and those 0? the 25, 100, 200, and 300 cm. beach transect intervals shows a gradual dimunition with increasing 338 TABLE 43.--Summary oF 12-month means For values oF C and number oF species shared in common by each collection site in relationship to the other Four Reach A1 25 100 200 300 Reach A1 (12.8) (14.0) (7.0) (5.0) 16.52 17.21 14.88 8.80 25 (12.8) (22.0) (12.3) (7.8) 18.52 46.85 32.78 11.54 100 (14.0) (22.0) (17.7) (11.6) 17.21 46.85 33.34 20.89 200 (7.0) (12.3) (17.7) (10.8) 14.88 32.76 33.34 22.17 300 (5.0) (7.8) (11.6) (10.8) 8.80 11.54 20.89 22.17 Read table thusly: The 12—month mean community coeFFicient between Reach A1 and the 25 cm. beach transect interval was 16.52. The mean number oF species shared in common by these two collection sites was 12.8. distance landward along the transect. The possible reason For the low C and shared species value between the lake and the 25 cm. interval has been discussed. flith respect to values oF C and shared species oF the 25 cm. interval and the other collection sites, it has been noted that the 25 cm. interval algal community exhibited the greatest similarity to that oF the 100 cm. interval and the least to the 300 cm. interval. Apparently, the algal com— munity at the 25 cm. interval was more similar to that oF Reach A1 than to that oF the 300 cm. interval. It has }_ also been noted that the algal community at the 100 cm. 339 interval was most similar to that of the 25 cm. interval and least like that of Reach A1. The 100, 200, and 300 cm. interval communities were most similar to the adjacent interval lakeward and least similar to the community of Reach A1. Reference to Table 43 suggests, therefore, that a lake algal community did exist which differed to some extent from that in the beach. The previous discussion pertinent to Table 35 has indicated that qualitative and quantitative differences in the algae present in Reach A1 and the beach were marked and distinct, the differences becoming increasingly pronounced with the distance separat- ing a given beach transect interval and Reach A1. There is evidence that the algal community at the 25 cm. in- terval was somewhat transitional between the beach and lake algal communities, but there is no indication that the 25 cm. interval could be considered an ecotone. The Fact that the community at each intermediate beach transect interval -- with the exception oF the 25 cm. collecting site -- resembled that at the 300 cm. interval more than that in Reach A1 is Further evidence of a distinct beach algal community. The fact that the postulated beach algal community was not homogenays throughout the limits of the transect is evident From examination of Table 35 and the results of indices of diversity determinations previously discussed. A consideration of the Fact that each intermediate beach 340 transect interval showed in C and shared species Values greater similarity to the interval lying lakeward rather than to that lying shoreward further suggests that the algal community at 300 cm. interval -- although obviously qualitatively and quantitatively different from those closer to the lake -- was primarily an attenuated expres- sion of those lakeward rather than a distinct terrestrial community. This apparent "survivors" community at the 300 cm. interval has been previously discussed in the Results section relative to determination of indices of diversity. Thus, data in tables 41, 42, and 43 can be interpreted to conclude that an increasingly severe en- vironment developing in a shoreward direction along the beach transect induced a gradual attenuation of a distinct beach algal community. In attempts to identify the physicochemical factors or factor responsible for the decrease in index of diversity with increased landward distance along the transect and responsible for the variation in community coefficients, the amount of water present monthly ex- pressed as percentage wet gross weight was plotted against index of diversity at each interval samples each col— lection data. Although a definite relationship between these two variables was readily apparent, a better cor- relatiOn of data was achieved when the index of diversity for each interval each month was plotted against the log 341 of the monthly percentage water content on wet gross weight basis at the same interval. Figure 43 presents the results of these compari— sons. Calculation for standard correlation coefficient (r) for the two variables gave an r value of 0.83258, well within 95% confidence limits. The slope of the re- gression line of X on Y on Figure 43 indicating the rela- tionship of monthly index of diversity with concomitant percentage water content of the beach substrate on wet gross weight basis was computed by use of the equation 1=bny + axy, using log values for Y. X According to variance interpretation tables for correlation coefficients when r=O.83258, approximately 64 per cent of the variance in index of diversity during this study could be attributed to variance in percentage water content within the beach sand substrate. Unfor- tunately, data from coefficient of community determina— tions did not lend themselves to statistical treatment insofar as their relationship to water content was con- cerned. when index of diversity for each interval each month was plotted against the log of per cent saturation of the sand at the same intervals on the same dates, a definite correction quite similar to that expressed in Figure 43 was evident. Determination of r values for index of diversity in relationship to per cent saturation was not made, however, inasmuch as per cent saturation 342 .uenopoo on genee>oz .>Hcpcoe He>umecw :oeec some pom mflmen pcmfiee weeps use :0 pcepcoo “meme spas >pwmee>flc Lo xouca Lo comflnmueounn.me .mwu . . mamma ucmfles mmoum we: pcepcoo seams emepceuuoq O 000 00 CaDQ OoDN O.O? 0.0 On.\ O.N Our va @.D fioQ N.O for... a u - — - n q . a a . . q . q a o WV .o.m xepur AirsJeArp a . . was; 1 529?; , 343 data were subject to determinations of water retention capacity of sand from each interval made only once dur- ing the 12-month study. Values for r with reference to 12-month means of indices of diversity for each beach transect interval were computed for porosity, for 12-month means of per- centage volatile matter, for sand grain size uniformity coefficients, and for harmonic mean of grain size dia- meters at each interval. For none of these variables did I fall within 95 per cent confidence limits. The r value for porosity in relationship to 12-month means of diversity indices was computed to be 0.48375. with reference to correlation between 12-month means of di- versity indices and percentage volatile matter at each interval, the computed r value was 0.57584. Cumputed r value for harmonic mean sand grain size diameters at sampled intervals in relationship to 12‘month means for indices of diversity at the same intervals was -0.92330. For sand grain siZe uniformity coefficients in relationship to diversity indices at the same intervals, the computed r value was -0.90612. The r values for uniformity coefficients and harmonic mean grain size diameters in relationship to indices of diversity both closely approached, but did not reach, 95 per cent confidence limits. Consequently, it would appear that the percentage water on wet gross weight basis at each interval was the 344- primary factor in determination of qualitative and quanti- tative algal abundance at the beach transect intervals sampled. The relationship was direct. Of considerably lesser importance was the direct relationship between porosity and algal abundance. An inverse relationship apparently existed to considerable degree between algal abundance and sand grain size and uniformity. Seemingly, the finer the sand, the more productive the environment. It would also appear that the more homogeralm the sand grains in dia- meter and the more uniform the general dimension of inter- stitial spaces between sand grains, the more productive was the beach environment. CHAPTER VI DISCUSSION Terminology relative to the psammolittoral Reference has been made in Chapter I to the extant controversy relative to the terminology applicable to the sandy beach biotope. Sassuchin gt al. (1927) apparently coined the term "psammon” for the microbiota of the sandy beach, considering it analagous to the term "edaphon" which had been applied by France (1913) to the microbiota of the soil. Their use of the terms "nannopsammon" and ”micropsammcn" suggests their concept of the term psammon as referring to biota of the sandy beach rather than to the environment itself. References to the 1927 paper by Sassuchin et al. in reviews of the literature concerned with studies of the beach environment allude that the paper employs the term "psammon” for both the biota and the environment. In the 1927 paper, however, the authors did not employ the term for other than biota. Although Sassuchin gt a}. noted horizontal zona- tion in beaches with reference to water content and characteristic microflora and microfauna and wrote of “zones”, they did not clearly delineate or define these zones. Rather, they dwelt at some length upon vertical 346 "horizons", characterizing these horizons on the bases of color, depth, and biota and noted the manner in which the horizons were expressed in two zones. The two zones were briefly described as one moist and adjacent to the lake and the second drier and further removed from the lake. wiszniewski (1934a) in reviewing studies of the beach environment attributed initial use of the term psammon to Sassuchin. Niszniewski (1934b) had previously proposed the term "psammolittoral” in a 1932 paper to represent the concept of the beach as a unique type of littoral environment. In his Recherces ecoloqiques so; is psammon (1934a) fiiszniewski restated his 1932 clas- sification of the micropsammon —- in the sense of psammon being an assemblage of aquatic microorganisms rather than an environment -— as hydropsammon, hygropsammon, and eupsammon. The first group includes those organisms living in constantly submerged sand. The second group he defined as those organisms found at the surface of the exposed portion of the beach within one meter of open water. The last group —- the eupsammon -- he defined as those organisms living in the extreme portion of the beach more than one meter from open water. In the initial portion of the summary of Recherghgs ecologigues egg lg psammon miszniewski again stated that the terms hydro-, hygro-, and eupsammon are subdivisions of the psammon biocenosis rather than of the psammolittoral biotope. In a subsequent portion of the summary, however, 347 he refers to the "zone of the hydropsammon", "zone of the hygropsammon", and "zone of the eupsammon". It would appear that subsequent investigators of the psammolittoral environment have incorrectly equated "hygropsammon" with "zone of the hygropsammon", etc., thus leading to un- necessary confusion in the terminology involved in study of this unique environment. It would seem, therefore, that confusion could be reduced through utilization of the term psammon to identify the biota living in the psammolittoral zone of a beach. It would appear, also, that the terms hydro- psammon, hygropsammon, and eupsammon should refer to the organisms living in the hydropsammon zone, the hygro— psammon zone, and the eupsammon zone respectively. In the connotation apparently intended by wiszniewski, a psammo- littoral zone exists wherever a body of water having a sandy substrate possesses a more or less extensive sandy exposed shore.. A review of the literature indicates that apparent— ly there has been no definition of the word ”sandy" as used in relationship to the psammolittoral. Spangler (1960) has noted that terms used in the United States to indicate texture of soil are highly arbitrary in origin, and their connotations vary from place to place and from One discipline to another. Beanland (1940) states that variety of methods of soil analysis and lack of uniformity H H T T 348 in describing soil grades makes present data upon estuarine soils of little value for comparative purposes. One approach to the problem of classifying soils is use of triangular classification charts such as those presented by Spengler (1960) and Hough (1957). It would appear that soil classification charts developed by organizations such as the U.S. Corps of Engineers, U.S. - Bureau of Public Roads, and the U.S. Department of Agriculture all share the characteristic that any "soil" having more than 80 per cent dry weight contributed by particles within the size limits of 2.0 to 0.05 mm. is classified as sand. Reference to grade distribution of sands of psammolittoral environments investigated by Neel (1949), Pennak (1950, 1940), Ruttner-Kolisko (1956, 1953, 1954), Niszniewski (1934a, 1934b), and that of the Reach A1 beach transect indicates that all have had grade dis- tributions with more than 80 per cent contribution by particles lying in the range of 2.0 to 0.05 mm. diameters. The hydropsammon zone of the psammolittoral environment has been defined by wiszniewski (1934a) as that portion of the beach continually submerged. He de— fined the hygropsammon zone as that portion of the exposed beach in which the interstitial water is in a capillary state, i.e. the interstitial pores are completely filled with water, and the beach surface is continually moist. The eupsammon zone Uiszniewski characterized as being inundated only by the highest waves. The surface is said jig-91am...“ , 349 to be in a funicular state, i.e. with air spaces within the interstices between sand grains, and the surface appears dry. when the surface film of sand reaches a condition in which only a thin film of water covers the sand grains, according to wiszniewski that portion of the eupsammon zone is said to be in a pendular state. In essence, therefore, the original definitions of the three zones of the psammolittoral environment are based on water content of the substrate. Pennak (1940), Neel (1948) and welsh (1952) equate the hygropsammon and eupsammon zones respectively with inner and middle beach. A search of the literature does not reveal any definition pertinent to delimitation of the upper limit of the eupsammon zone. Unfortunately, few investigators of the psammolittoral zone have in- dicated in their reports the distances from the water line at which samples have been taken. Sassuchin g3 gl. (1927) included as psammon organisms those collected 50.0 meters from the shore, but Wiszniewski (1934a) presents no data derived from samples taken more than eight meters from the water line. Neel (1948) seemingly considered the upper limit of the psammolittoral as two to six meters from the water line. Pennak (1950, 1939, 1940) apparently considered a distance of three to four meters the upper limit of the psammolittoral zone. Ruttner- Kolisko (1954, 1953, 1956) reports no eupsammon zone ‘ data more than 80 cm. distant from the water line. 350 Consequently, it can be assumed that the term eupsammon may include the "outer beach" (Welch, 1952) as well as the middle beach. It was noted in Chapter I that review of the literature indicates confusion regarding delimitation between the hygro- and eupsammon zones, and it is evident differentiation between the two is highly arbitrary. If wiSZniewski's criteria for identification of the three zones of the psammolittoral are utilized, reference to Table 8, Chapter V, indicates that the +25 cm. interval of the Reach A1 beach transect was from November through March located in the hygropsammon zone. In April and May the +25 cm. interval was located in the hydropsammon zone. From the June 6 collection date to the October termination of the study, the +25 cm. interval was located in the eupsammon zone. with the exception of the +100 cm. interval in April and May, all other transect intervals shoreward from the 25 cm. interval were located in the eupsammon zone. In April and May the advancing lake water- line positioned the +100 cm. interval in a transitory hygropsammon zone. Reference to tables 7 and 8 does not reveal, either in monthly data or 12—month means, evidence of obvious demarcation of zenes along the beach transect. Neither data of percentage water content on wet weight basis nor data of percentage saturation show a sharp break in water content along the transect that would 351 suggest an abrupt shift from the hygropsammon to eupsammon zone. Neither is there evidence of a line marking the limit of capillary rise. Rather, in each month, there is evidenced a more or less gradual ~- albeit pronounced —— diminution of water content with distance from water line. Unfortunately, there apparently is in the literature no data of water content taken at relatively close intervals during a prolonged period which can be compared with the results of the Reach A1 transect study. It is evident that investigators of the psammo— littoral have made the assumption that the interstitial water of the beach sand is derived from wave action, tides, capillarity, and -— to a much lesser extent -— precipitation. Bruce (1929), Newcombe (1935), Pennak (1939, 1940, 1950), Neal (1948), Hill and Hanley (1914), Ruttner-Kolisko (1956, 1953, 1954, 1962) and uiszniewski (1934a), among others, have discussed at some length the rise of water in beach sand by capillarity. In essence, they have found that the finer the sand substrate, the greater the capillary rise. The literature presents instances of observed capillary rise in beach sand of magnitudes of as much as 00 cm. (Pennak, 1940). Ruttner— Kolisko (1956) has stated that the width of the hygro— psammon zone is determined by sand grain size and beach slope. The finer the grain size and the smaller the de— gree of slope, the wider is the zone of complete satura- tion. The data relative to field and laboratory investigations of sand grain size and capillary rise presented in reports of studies of the psammolittoral do not indicate, however, that the distance water will rise by capillarity can be predicted in any exactitude by reference to grain size of the sand substrate. Although there are in the literature numerous descriptions of experiments and observations regarding height of capillary rise in beach sands, it would appear that few (Sassuchin gt. gl., 1927; Hill and Henley, 1914) have investigated the contour of the phreatic level below the beach surface. The phreatic surface is defined by Todd (1959) as the upper surface of the zone of satura- tion, i.e. that area of the substrate in which the inter- stices are completely filled with water. The level of the phreatic surface is revealed by the level at which water stands in a bore penetrating the substrate. Actually, according to Todd, the zone of saturation extends slight- ly above the phreatic surface because of capillary at- traction; however, water is retained there at less than atmoapheric pressure. Above the phreatic surface, in the zone of aeration, interstitial water may be found as hygroscopic water, or as capillary water in a more or less continuous film held by surface tension around sur- face particles and moved by capillary action, or as gravitational water which, derived from precipitation, drains through soil to the zone of saturation. Hater in the zone of aeration is termed vadose water. Forces of 353 surface tension and molecular adsorption do not permit complete removal of interstitial water by drainage or pumping in either the zones of saturation or aeration. It appears that previous investigators of the psammolittoral have assumed vadose water is derived primarily by capillarity from the zone of saturation below the beach. In the report by Hill and Henley (1914) and in the Duck Lake Reach A1 beach transect study, it has been noted that the phreatic surface declines with shoreward distance from the water line. The question thus arises whether vadose water at any given point on the beach surface is that rising by capillarity from the phreatic surface below. Reference to Figure 3 indicates that during the period November 9 to and including October 10 a vertical distance of as much as 48 cm. may have separated the phreatic surface and the surface sand at the +25 cm. interval. This distance lies within observed values of capillary rise reported in the literature for sands hav~ ing D10 of .070 cm. and/or mean grain diameters of .079 mm. In July, August, and September, however, the vertical distances between the phreatic surface and the surface sands of the +100, +200, and +300 cm. beach transect intervals were, respectively, approximately 70, 80, and 105 cm. From November through June, it is assumed these vertical distances were somewhat less. Table 5 indicates that the 010 and mean grain diameter for surface sand at 354 the +100 cm. interval were respectively .090 and .110 mm. The D13 and mean grain diameters at the +200 cm. respec- tively were .104 and .119 mm. and at the +300 cm. were respectively .114 and .148 mm. Even assuming the sands at each interval were homogenele in texture from surface to phreatic surface, which they obviously were not, the vertical distances between surface sand and July — September phreatic surface levels were considerably greater than maximum capillary rise reported in the literature for sands of the above mentioned D10 and average grain diameters. Yet in the July — September collections, percent saturation values at the 100 cm. interval ranged from 58.5 to 23.6 per cent. At the 200 cm. interval, July - September per cent saturation values ranged from 21.3 to 4.3 per cent. In those months, the zone of saturation lying lakeward was at least 125 cm. distant from the 100 cm. interval. An extensive literature exists with reference to movement of water through porous soils, including among otheesreports by Mavis and Tsui (1939), Richards (1931), Smith gt al. (1931), Moore (1939), Luthin and Day (1955), Remson and Fox (1955), Lambe (1951), and Kirkham and Feng (1949). Kirkham and Feng in summation of a review of the literature of studies of capillary water in soil state that, in brief, all is not known with reference to capillary movement in soil. Lambe (1951) has stated that numerous incorrect concepts appear in the literature 355 because of incomplete fundamental understanding of the role of capillarity in movement and retention of soil water and concludes that there is a great need for much more research upon capillarity. He has found that soils in which 90 per cent of the particles are larger than 0.08 mm. in diameter (thus being sand as defined in the triangular classification charts previously cited) have a maximum capillary saturation value of only 80 per cent of void space rather than the 100 per cent previously presumed. If this is generally true, it would appear all data pertaining to determination of soil porosity by standard water saturation techniques are highly sus- pect. Luthin and Day (1955) and mavis and Tsui (1939) report that substantial lateral water flow takes place in soil above a sloping water table. Mavis and Tsui report the horizontal movement of water in the capillary fringe above the phreatic surface varies with a well- defined regularity from zero at the top of the fringe to a maximum at the phreatic surface. Luthin and Day note that no existing theories consider variation in capil- lary conductivity in the zones of saturation and aeration, and they further note that no quantitative measurements had been made —— in 1955 -- which included the region above the phreatic surface. 0reshkina (1960) states that capillary water discontinuity occurs when substrate moisture content becomes less than four per cent. with 356 lower moisture content, free moisture exists only in "wedges" regardless of the state of compaction or size of the sand particles. Another factor which apparently has not been con- sidered by investigators of the psammolittoral zone in their generalizations concerning capillarity in beach sands is the relationship of temperature to capillary rise. mavis and Tsui (1939) state that the magnitude of capillary rise in beach sand depends not only on the size of the grains but also on the ”porosity factor” of the substrate and surface tension of the water (see Mavis and Tsui for a discussion of porosity factor). Surface tension, they state, is a function of water temperature. Moore (1939) has noted that in unsaturated soils, rapid changes in soil temperature above a water table are accompanied by rising phreatic levels with temperature increase and falling levels with falling temperatures. Lambe (1951) has noted that the relative humidity of soil air is 100 per cent. Consequently, any drop in temperature results in condensation of water vapor upon sand grains. Inasmuch as evaporation in unsaturated soils takes place directly into interstitial spaces (Greshkina, 1960), it seems possible there may be appreciable water deposition in superficial layers of the beach following temperature decreases. Hill and Hanley (1914) found appreciable increases in water content of beach sands 357 during night hours. This they attributed to dew forming on the sand surface when moist air over the beach surface cooled. The present incomplete knowledge of fundamental processes of capillary movement in beach sands and the apparent lack of information regarding the importance of condensation of water within interstices between sand grains suggest that efforts (Ruttner-Kolisko, 1956) to predict the extent of the hygropsammon and eupsammon zones 0n the basis of beach slope and grain size distribu- tions alone are probably premature. In short, it would seem that at the present time it is not known whether the water found at any given point in the psammolittoral zone is capillary water from the underlying phreatic surface, capillary water transported by lateral capil- larity from the adjacent basin of water, water of conden- sation from the atmosphere or interstitial air voids, or gravitational water from recent precipitation. Thus, it seems unwise to refer to the water within the interstices of a sandy beach as capillary water. Rather, it might be suggested that water found in the beach transect be re- ferred to only as "interstitial” water. Porosity and grade Bruce (1928) has noted that the interstitial spaces within a sandy beach, whether occupied by water or air, are not only important as the habitat within 358 which the psammon organisms must live but also their relative volumes determine the specific heat of the beach and the availability of capillary water. He reports that .the specific heat of damp sand varies from one-tenth to one—third that of pure water, depending upon the relative volumes occupied by sand, air, and water. The diameter of sand grains in the beach substrate determines the size of the interstitial voids in which water may be found. The smaller the grain size, the less the available space. According to mavis and Tsui (1939), the absolute size of pores is small in fine sand and large in coarse sand, but both materials have the same porosity if they are geometrically similar. The absolute volume of pore space between adjacent sand grains varies with the cube of grain siZe, and the cross sectional area of this interstitial space varies with the square of the grain size. Pennak (1939) states that the proportion of pore space to total sand volume is approximately 40 per cent regardless of the size of the sand grains and irrespec— tive of the degree of heterogeneity of the particles. In spite of varied composition of beach sands, Pennak (1940, 1950) further states, the interstitial volume of beach sands is seldom less than 36 per cent or more than 43 per cent. Hough (1957) in summarization of numerous sand porosity determinations reported in the literature con~ eludes porosities in sands may range from 44 to 17 per 3S9 cent, and Baver (1940) states that soil porosities average 50 per cent, sand being usually less and clays usually more. Hough indicates that sands having uniformity coef- ficients approximating 1.0 and effective grain size (010) near 1.0 mm. have porosities of 44 to 33 per cent. Those with D10 approximating 0.10 and having uniformity coef- ficients of four to six, on the other hand, may have porosities ranging from 49 to 17 per cent. Todd (1959) gives porosity values for mixed sands ranging from 30 to 40 per cent, coarse sands approximating 40 per cent and fine sands 30 per cent. Bruce (1928) found porosities of mixed beach sands approximating 20 per cent, but mavis and Tsui (1939) found that porosity determinations made upon sands of the Iowa River ranged from 43 to 34 per cent. Sassuchin gt al. (1927) reported average porosities of about 37 per cent in beach sands. diszniewski (1934a) found porosity values in beach sands ranging from 32 to 42 per cent. Heel (1948) discovered porosity values for ungraded sands varied from 37 to 41 per cent. Thus, the literature in- dicates porosities in beach sands range from 49 to 17 per cent, most determinations having ranges from 44 to 30 per cent. Porosity values determined for each 25 cm. inter- val along the Reach A1 beach transect tended to be higher than most values reported in the literature for beach sands. Values along the beach transect above the November- 360 March water line ranged from 50.8 per cent at the water line to 41.3 per cent at the +300 cm. interval. The mean value for porosity determinations at the 17 intervals along the transect was 46.8 per cent. Reference to Table 5 (see also pages 49 through 56) indicates that, as a generalization, the larger the harmonic mean grain dia- meter in mm. and the larger the uniformity coefficient, the lesser was the porosity. Unfortunately, the absence of standard methods of porosity determinations reported in the literature of psammolittoral studies and the fact that grade data re- ported from this environment have not included mean dia- meters, uniformity coefficients, or effective grain sizes precludes any meaningful comparisons of the porosity results of this study with those of previous investigators of the psammolittoral zone. Ruttner-Kolisko (1956) has previously pointed out the necessity for an improvement in the techniques of study of this environment. It can only be hoped that future investigators of the psammolittoral will employ sound standard procedures for physical analysis of the substrate. Pennak (1950) has stated that size of sand grains, pH, dissolved free and bound 002, and dissolved organic and inorganic matter have no known constant relationship to either numbers or distribution of psammon organisms. Ruttner-Kolisko (1956), however, reports that the appreci~ able development of a psammon microfauna occurs only in 2 g. 361 pore systems based on grain sizes 2.0 to 0.2 mm. in dia— meter. She argues that above this limit capillary forces are insufficient to produce capillary rise, and below this limit the pores are too small for movement of the organisms. She states that a "good" habitat is one with about 40 per cent of the sand grains having diameters of about 0.5 mm., and a ”poor” habitat is one in which ap- proximately 50 per cent of the sample has diameters below 0.2 mm. She concluded that for the "biota” of the psammo— littoral the grain size distribution most favorable is one in which 50 per cent of the sand grains have dia- meters of about 0.4 mm. and the uniformity is such that few grains have diameters of more than 1.0 or less than 0.2 mm. Although few, if any, references to relationships between algal communities and porosity of the psammo— littoral environment appear in the literature, there are numerous published reports of apparent relationships of porosity and distribution of invertebrates in or upon beach sands (Kohn, 1959; Beanland, 1940; Boaden, 1963a, 1963b; Nicholle, 1935; Pirrie at al., 1932; Vacelet, 1961; Teiser, 1960, 1959; Ruttner-Kolisko, 1961). Boaden (loc. git.) reported that the diameter of sand grains markedly influenced interstitial nematode fauna. Certain species, he states, showed obvious preference to substrates of given sand diameter ranges, some being typical of fine send, some of coarse sand. (ing (1962) found evidence «~a_e 362 that nematode communities in marine beaches are delimited in part by differences in average grain sizes. weiser (1959, 1960) discovered that the distributions of some species of nematodes and kinorhynchs apparently were deter- mined by composition of the substrate, i.e. some prefer- ring coarse sand, some silt, etc. Nematodes, he reported, are very sensitive to small changes in composition of the substrate, the size of the nematode in respect to the size of the substrate particles apparently being a con- tributary factor. In Puget Sound, Heiser found distribu~ tion of some invertebrates is not determined as much by tide levels as by the pattern of distribution of certain grades of the substrate sand. Certain mixtures of sands constitute barriers separating major faunal components from each other. It has been previously noted that results of the Reach A1 beach transect study indicate an r value of -0.92330 between harmonic mean sand grain size diameters at sampled intervals and 12—month means for indices of diversity at the same intervals. This would suggest that —- within the limits of the grain sizes present in the Reach A1 study -- there is an inverse relationship between grain size diameter and index of diversity, i.e. the smal- ler the grain size, the larger the index of diversity and thus, the more favorable the environment. It should be noted that all 17 intervals along the Reach A1 beach tranSect analyzed for grain size distribution had grain 363 size percentage compositions such that they fell into the size category characterized by Ruttner-Kolisko (1956) as "poor" habitats (see tables 4 and 5 and Figure 3). It would seem that Ruttner-Kolisko's generalizations regard- ing grain size and productivity are perhaps not applicable to the algal community. It should also be noted, however, that not only did harmonic mean grain size become smaller the closer the sample interval to the water line (Table 5), but in addition the amount of interstitial water also increased the closer the sample interval to the water line (Table 7). It has also been previously noted that the com— puted r value was -0.90612 for sand grain size uniformity coefficients at each sample interval in relationship to 12-month mean diversity indices at the same intervals. This indicates an inverse relationship between uniformity coefficients of sand grains in the Reach A1 beach transect and indices of diversity, i.e. the more homogeneous the sand grains in diameter, the more favorable the environ- ment. Again, however, it should be noted that reference to Table 5 and Table 7 reveals that the closer to water line the sample interval, the more homogeneous the sand grain diameters and the greater the average water content. It becomes obvious that laboratory experimentation with controlled water content is needed to determine whether there is, indeed, a relationship between sand grain size and/or uniformity on one hand and productivity of the E:.............._____________________ ii 364 psammolittoral with reference to the algal biota on the other. Temperature Pennak (1950) in summarizing the ecology of the psammolittoral zone has noted that temperature within the interstitial voids is influenced by temperatures of the adjacent water basin, air temperatures, amount of "capil- lary" water and rate of its evaporation, relative humidity above the beach, and insolation. He states that in fresh- water beaches the surface temperatures of the sand between 50 and 250 cm. from the water's edge are relatively homogeneous because of the predominating influence of evaporation of the interstitial water. In this zone, he continues, even on the warmest of days the surface tempera- ture of the sand seldom exceeds 32°C. Nearer to the water line, however, the sand temperature reflects that of the adjacent body of water, and at the shoremost, driest extremes of the psammolittoral zone insolation may raise sand temperature to more than 40°C. Pennak (1939) has found that during a 24—hour period temperatures at the moist surface of sandy beaches may vary as much as 100C. or more, the surface layers exhibiting greater temperature fludwations than deeper layers. Newcombe (1935) reports that temperatures 8 cm. or more below the sand surface are relatively stable. Johnson (1961) indicates that daily temperature variation figa’iif; Mfr-T in intertidal marine sand flats resembles that observed in terrestrial soils. Animals living in the upper 1 cm. of sand, he reports are exposed to daily temperature ranges three times that of the subtidal environment. But even under maximum natural insolation, small amounts of water may be sufficient to keep sand temperatures low enough to be tolerated by most psammon organisms (see Pennak, 1940, and diszniewski, 1934a for some of the most extensive temperature data reported from studies of the psammolittoral). Although wiszniewski (122. git.) with respect to temperature characterizes the psammolittoral as having high temperatures derived from insolation tempered by evaporation as well as having large amplitudes of daily temperature oscillation, it is apparently in comparative reference to the aquatic environment that he writes. As is true in almost all studies of the psammolittoral, Uiszniewski's temperature data are derived from investi- gations conducted in the summer months. In essence, his tables and graphs show for any given transect a rather rapid temperature increase in the first 25 cm. from water line followed by more or less stable temperatures over the remainder of the transect. Rarely do his tables exhibit temperature data in excess of 330". He found, however, no clear generalizations with regard to tempera~ ture changes with distance from lakes except that such 54ft" , ‘ 366 fluctuations tend to be less rapid and less marked the nearer the sample site to the lake. Bruce (1928) has also noted that evaporation from the moist beach surface usually prevents any excessive rise in temperature. He reported the highest tem erature recorded in English intertidal beach sands during summer months do not exceed 210C. in full sunshine, although readings in dry, wind-blown sand were much higher. Pearse 23 al. (1942) have found summer air temperatures immedi~ ately above sandy marine beaches to be lower than water temperatures in the adjacent sea. diszniewski (1934a) reports that the relative humidity one cm. above the freshwater beach reaches a maximum in the first 50 co. from the water line, then drops, and remains relatively stable shoreward from the 50 cm. interval. Bruce (loc. Cit.) reports that experimentation upon the rate of evapora- tion from sands of various alone has little influence tion. surface, he states, is not of an equal area of water. sand apparently contribute loss, the actual escape of by rate of diffusion through narrow interstices. (1955), however, has found from fine sand exceeds the sand. grades indicates that .rade L0 in determining rate of evapora- Initial rate of water loss from a saturated sandy appreciably different from that The internal surfaces of damp little to total evaporation water molecules being limited Newcombe that the rate of evaporation rate of evaporation from coars Table 6 presents the record of temperature deter— minations made during the 12-month investigation of Reach A1 and the psammolittoral zone transect (see also pages 57 through 59 for additional temperature information). Reference to Table 6 reveals the strong tendency for tem— peratures at the most lakeward stations to approximate within three degrees C. those of the lake surface on the same dates and for those most landward to approximate within three degrees C. breast height air temperature. At no time during the study did sand temperature exceed 35.00C. This reading was, however, eight degrees higher than the breast height air temperature of 27.0 degrees recorded on the same date, September 5. The spring through fall temperature ranges along the transect did not differ markedly from those reported in the literature during comparable monthly periods. Sand temperature differential between the most lakeward and the most landward stations on the transect ranged from zero in January, February, and March to maxima Of 6.0 and 5.50C. in April and September respectively. Temperature differentials between extremes of the transect tended to be lowest during winter months and greatest in spring and fall. Only in July through September did temperature at the most landward point of the transect differ markedly from air temperature, it being in those months about 70C. higher than breast height air tempera~ ture. During the December—March collection period when 368 the substrate was more or less continually frozen, tempera- ture differentials between extremes of the transect did not exceed 0.50C. On January 4 and February 5 collection dates, all temperatures recorded along the transect were 0.005. It is not known what temperature minima occurred in the beach sand during the December-March period, but it is obvious that daily sand temperature fluctuations during this period were greater than temperature fluctuations in the adjacent ice-covered water of Reach A1. Lund (1942) and Ruttner-Kolisko (1956) have re— ported that temperature alone apparently exerts no impor- tant influence upon growth and reproduction of the biota of the sand. Aleem (1950) found temperature apparently has no effect upon diatom populations in mudflats, and Pearsall (1923) has concluded that it is improbable that temperature alone is of any great importance in determin- ing periodicity of diatom populations. Round (1968, 1961), however, has concluded that gross productivity of both diatom and blue-green algal populations is correlated with temperature in epilithic, benthic environments. Sakharova (1963) reports that regular patterns of distri— bution and seasonal dynamics have been established for microfauna of the psammolittoral of Russian lakes, assumed- ly with respect to temperature. Shields and Durrell (1964), however, with reference to soil algae state that because of tolerance of soil algae to extremes of heat and cold, temperature loses significance as a factor in 369 determining growth and distribution of soil algae. Cameron (1964) has found that soil algae may grow and reproduce readily in cultures maintained at 90 to 100°F. Table 39 and Figure 35 present summaries of quanti- tative data relative to fluctuation in algal abundance in the lake and in beach transect intervals during the 12-month study of the Reach A1 beach (see also pages 301-315 for summarization of data relative to seasonal fluctuations in algal numbers). Figures 35 and 25 indicate that phyto- plankton density within the waters of Reach A1 underwent a gradual and pronounced decline from November to March. Subsequent to the March-April ice break-up, density of phytoplankton began a gradual increase to a 12—month peak in September, followed by an abrupt decline to the October termination of the study (see also pages 127 through 149 for further reference to quantitative variation in phyto- plankton abundance during the 12-month study). Similar patterns of seasonal phytoplankton quantitative variations have been reported by Chandler (1940, 1942, 1944) Spencer (1950), Davis (19543, 1954b), Griffith (1955), and Reed and Olive (1956). It has been noted (page 303) that all beach inter- vals exhibited maxima in algal density during the four— month period when the beach substrate was frozen. An algal density maximum occurring in this period of con- gealed substrate was followed by a more or less rapid decline to a markedly reduced spring level at all intervals. 370 At each interval along the beach transect, this decline was followed by a mid-summer increase to density levels approximating those of November. Subsequent to this secondary peak in algal abundance in the beach, a general decline in density took place until the October termina- tion of the study. Inasmuch as algal population peaks occurred in periods when the beach Was solidly frozen as well as in the mid-summer period when beach temperatures approached or reached maxima, it would seem that tempera— ture alone was not a primary determinant in fluctuations in quantitative abundance of the algae in the psammo- littoral zone during the 12-month study. earl Pennak (1950) has described the psammolittoral as an essentially lightless environment, basing this premise upon reports in the literature indicating that measurable light does not penetrate more than 10 to 15 mm. below the surface of the sand. Sassuchin at al. (1927) exposed photographic film at various depths in river beach sand and reported no light reaction upon filn buried at depths of two or more cm. below the surface, bu Heel (1948) found the greatest depth at which a light meter recorded the presence of light in beach sands was approximately 0.5 cm. Aleem (1950) discovered that incident light is reduced 95 per cent in the first two mm. of mudflat sub- strate. Tchan (1953) reported that in dry sand, buried 371 film exposed to full sunlight indicated maximum light penetration to be 1.5 em. but was unable to state whether light at such depth was sufficient for algal growth. He found little, if any, difference in the extent of light penetration in wet and dry sand. Investigations relative to the extent of light penetration into the sand of the Reach A1 beach transect indicated that full sunlight penetrated at most less than two cm. into the sand of either the hygro— or eupsammon zones (see pages 56-57). Film buried at depths of 1.0 cm. beneath the sand surface exhibited some evidence of faint fogging, but only apparently where a pebble or small stone was embedded in the one cm. of sand above the plate. All film plates exposed at depths of 0.5 cm. below the beach surface showed evidence of slight fogging distributed in irregular, random patches over the plate surfaces. It was concluded that effective light penetration into the beach sand of the Reach A1 transect was somewhat less than 0.5 cm. with some random penetration in heterogeneous deposits to as much as one cm. It was postulated that photo- lithotrophs, therefore, would be concentrated in the top 0.5 cm. of sand. There was no evidence that the extent Of light penetration differed in wet sand in comparison- to that in dry sand. Tchan (1953) in laboratory sand culture experi- ments found algal populations limited to the surface five mm. of sand. Cameron (1964) reported that algae of desert 372 soils are found only in the top few millimeters of sandy soil within, essentially, the limits of light penetra- tion. In spite of the fact that desert soil temperatures may be as much as 50°F. higher than breast height tempera- tures, Cameron states that light and moisture appear to be the most important limiting factors in growth of soil algae. Tchan and whitehouse (1953) reported that there is no significant growth exhibited by soil algal cultures kept in the dark, even in carbohydrate enriched media. They conclude that the presence of organic matter does not support growth of algae in sandy soils in natural con- ditions. Tchan and whitehouse (£22. git.) also found that algae of sandy soil will not grow even in light if the soil environment is anaerobic. If sandy soil is water- saturated, the algal community is found only in the sur— face few mm. Although it may be postulated that the algal communities of the psammolittoral zone are concentrated in the surface five mm. of sand, there is a distinct pos- sibility that there may be considerable vertical migration of certain phototactic elements of the community. Aleem (1950) reports that there is evidence of diurnal migra- found in the interstices of brachish-water mudflats. He disc0vered few, if any, algae on the surfaces of exposed mudflats at night, but numerous diatoms and dinoflagellates were present at the surface in daylight. Canapati gt Qi- er. ' i M I 373 (1959) also found that diatoms and dinoflagellates showed definite diurnal migration patterns in marine beaches. Apparently absent from the moist sand surface at night, forms such as fiantzschia amphioxys, Pleurosigfla aestuari, Nitzschia closteriufl Eympodinium splcndens, and Amphidium gellucidum were observed to migrate to the surface in daylight. In laboratory experiments, Canapati at al. report, these algae migrated to the surface at times corresponding to low tides and migrated beneath the sur— face at times corresponding to higt tides. They were observed to react positively to light at time of low tide and to react negatively to light at time of high tide. Lund (19é2) has found many motile algae in de- posits about pond margins to be positively phototactic, and Round and Happey (1955) discovered a vertical migra— tion of the diatom flora of the eoipelic association of freshwater streams in response to light periodicity. movement of the diatom flora up to the surface of the sediment in streams and down beneath the surface occurred rhythmetically once every 24 hours, reaching a peak of cell numbers at the surface at approximately the same time each day. Round and Happey reported similar light— induced rhythms in epipelic diatom associations in fresh- water ponds. Included in their list of migratory diatoms were the species Navicula cryptocephala and Navicula 374 radiosa, which were also common in the sand of the Reach A1 beach transect. River bank algal communities composed primarily of Euglena and diatoms have been reported by Bracher (1929) to exhibit diurnal fluctuations in surface abun- dance. Bracher observed that euglenoids "burrowed" into the mud in darkness and on overcast days, appearing again on the surface within 20 minutes after restoration of full illumination. Diatoms, according to Bracher, exhibited no phototactic responses. It would appear the possibility exists that qualitative and quantitative data gathered from studies of the algae of the psammolittoral could be influenced by conditions of light intensity at the time of collections. Black layer Pennak (1950) has reported that in undisturbed beaches it is a common occurrence to find distinct black strata at depths of 5 to 15 cm. It has been well estab- lished, he continues, that these strata are evidence of anaerobic conditions and are produced by reduction of iron oxides by sulfides in the presence of anaerobic de- composition of organic matter. Sassuchin _t._l. (1927) referred to the iron sulfide layer as the lowermost of the four horizontal strata characteristic of the sandy beach and characterized the layer as being 8.5 to 15 cm. thick, very black, and containing no living "micropsammon." 375 This black layer has also been observed in some detail by Aleem (1950), Ellis (1925), Bruce (1928b), Neel (194a), and Weber (1962), among others. Neel (I22. 223.) reported that laboratory and field investigations of the black layer indicate that the upper limit of the black layer marks the division between the anaerobic and aerobic zones in the sand. Neel found that oxygen penetration into hydropsammon zone sands is apparently a process that includes only the top 1.5 cm. of sand. Weber (I22. 222.) found that very few organisms occurred at depths more than two to three cm. below the sand. He postulated that the conditions in- ducing formation of the black layer may be major limiting factors in restricting vertical distribution of the psammobiota. He reported also that in transects where the black layer was poorly developed, organisms did not occur to depths significantly greater than in transects with a well-developed black layer, and he concluded that the exact importance of the black layer could not be evaluated in his study in comparison to other factors restricting the depth to which psammon organisms occur. Although there are in the literature of psammolittoral investigations considerable data with reference to the fact that the density of psammon organisms decreases rapidly with depth, there apparently has been no con- clusive proof that chemical and/or physical conditions 376 inducing black layer formation act as barriers restricting vertical migration in the interstices between sand grains. Figure 5 presents a diagrammatic representation of black layer distribution in months a black layer was ob- served present during the Reach A1 beach transect study (see also pages 59-62 for additional observations of the black layer made during the 12-month study). There is no evidence that a black layer was found within 29 cm. of the beach surface from November to June. From July to October, a black layer was observed present under the transect within 20 cm. of the surface, but it was relative- ly poorly defined and sporadic in appearance and extent during those months it was present. At no time during the study did the black layer reach the depth penetrated by the sampling cores. Consequently, no attempt was made to correlate algal distribution patterns in the transect with the black layer. __q_0 r a 0.12. ladies. It has been stated by Pearse 22 a}. (1942) that the sandy beach is an incubator and digestive system that continually supplies nutrients to the adjacent sea. Neel (1948) has noted that processes that result in temporary l inclusion of organic matter into beach sands of lakes af— ford as well a supply of products of decay to the lake following decomposition of this organic matter. It is assumed water derived frOm wave action and precipitation 37? when passing downward through the beach dilutes the inter— stitial water and transports its dissolved materials to the adjacent body of water. Neel has also noted that the high productivity of the psammolittoral may be attributed to the close proximity of the surface producer zone and the zone of sub-surface reducers and consumers. Both particulate and dissolved organic matter within the beach interstices can be considered present and future sources of nutrient to photolithotrophs and consumers living in the psammolittoral and its adjacent water basin. Organic matter, too, may retain moisture and thus retard rate of evaporation from the interstitial voids. Koepcke and Koepcke (1952), Heel, (1948) and Pennak (1939, 1940, 195 ), among others, have discuss d the origin of particulate and dissolved organic matter found within the interstices of the sandy beach. Apparent- ly there have been no detailed quantitative studies rele- vant to the relative amounts of auto- and allochthonous organic matter within the beach. Unfortunately, too, as, pointed out by Ruttner-Kolisko (1956), data pertinent to organic matter content in beaches are thus far very un- satisfactory. She indicates that the explanation is in the serious error potentials in present methods of deter- mination and in the difficulty in differentiating be— tween suspended particulate and dissolved organic matter in determination of organic content within the beach. L ivy-gm; _A , 37B Ruttner—Kolisko (123. git.), Schwoerbel (1961), and other European investigators have, by and large, re- lied upon the KmnOA-uptake method of determining organic content. The English-language literature of psammolittoral investigations and those of related benthic littoral studies involving organic matter determinations indicates that most have utilized the weight loss on ignition technique in determination of organic content (see Pennak, 1940; Neel, 1948; Pearse at al., 1942; Aleem, 1950; Pirrie gt al., 1932; Bracher, 1929; Lund, 1942). In far too many instances, the methods are not given at all. Some data have been reported as mg./1Dcc. of sample, some as per cent dry weight, and some as per cent wet weight. Pirrie _t _l. (lag. gig.) have noted that data based on weight loss on ignition techniques are suspect if con- siderable amounts of Ca503 are present in the sand. Data resulting from monthly determinations of percentage volatile matter on a dry gross weight basis for each 25 cm. interval along the Reach A1 beach tran- sect are presented in Table 9 and Figure 6 (see also pages 68 to 72 for detailed results of monthly determina— tions of percentage volatile matter, i.e. organic matter, in the beach substrate). Percentage volatile matter in gross beach samples ranged from 10.9? per cent recorded on December 8 at the 25 cm. interval to a minimum of 0.39 per cent recorded on May 6 at the same interval. In each month there was a general tendency for percentage volatilq 379 content to diminish with distance from shoreline. This tendency was also exhibited in 12-month means. The great- est range between extremes of the transect occurred when a differential of 10.49 per cent was recorded in the December collections. The smallest range, 0.94 per cent, occurred in the may collections. The 12-month mean range between extremes of the transect was 3.22 per cent. As reported on page 68, the greatest differentials between volatile content at the most lakeward interval and the +300 cm. interval occurred during those months in which the transect substrate was in a frozen condition. The least differentials occurred in the spring and early summer months. Although it might be postulated that the retardation of organic decomposition in winter months might account for the larger winter differentials, the fact should be considered that algal populations tended to be largest when the beach was frozen and smallest during the spring and early summer. Data on Table 9 do not indicate a gradual build—up of organic content at any interval in the beach during the winter months. The weight loss on ignition technique of organic content determination does not differentiate between organic material within living cells and that as detritus or in solution. It should also be noted that some weight loss in this technique may be from thermal decomposition of carbonates and bicarbonates. Although the method employed in carbonate and bicarbonate determination along 330 the transect was highly subjective (see page 44 for methods), reference to Table 11 indicates an appreciable differential in bicarbonates between extremes of the transect, the amount of bicarbonates each month increas- ing with distance toward the water line. It is, therefore, possible that an appreciable degree of the differential between extremes of the beach transect might be attrib- utable to thermal decomposition of carbOnates and bicar- bonates. Noted on page 39 is the considerable similarity in 12-month means of per cent volatile material and per cent water on wet gross wet basis at each interval along the transect (see also Figure 6). Readings from the +390 cm. interval to the +175 cm. intervnl showed distinct graphic correlation between means of volatile material content and that of water. From the +175 cw. interval lakeward, the marked variation between the two factors considered perhaps was attributable to the increasing proximity of the transect intervals on the phreatic sur- / far:o end the lake L.olf. It n. h"‘h llf“ vlso th L ,Here apparently was we axplar +177 on o granulanetrlr basis for the irregularities in rater retention by the substrate at those intervals lrnjwari from the +173 c; interval. The hypothesis might be made that percentage water content at each interval along the transect was directly related to porosity and distance from the shcr3~ line and or phreatic surface un to a certain crit' . . 1C8 distance —- about the +175 cm. mt rval For most of the 12-month study -— and beyond the critical distance it became secondarily related to the amount of organic matter present. Reference to data presented on Table 12 and Table 13 reveals that, during those months in which the amounts of dissolved volatile matter were determined for both beach interstitial water and the water of Reach A1, the amount of volatile nateri al in interstitial water was ordinarily considerably higher than in lake water (see also figures 11 and 12 and pages 87 to 90 for detailed observations upon results of monthly de eter ruinations of percentage volatile matter in water of Reach A1 and in interstitial water from the beach transect). The mean amount of volatile material in lake water during the April—October period when it was possible to withdraw interstitial water from the beach was 266.7 mg./l. For the sane period, the mean amount of volati is material in interstitial water was 390.3 dg./l. X _:tor cont-a_nt Neel (1948) has stated that it is the wgter con— tained in the voids between sand grains that forms the habitat of ”psamno—organisms” and that this habitat te— comes increasingly restricted when the amount of water in the interstices lessens. Pennak (1940, 1950) also indicates that the complex microscopic flora and fauna 382 oF the psammolittoral inhabit the capillary water held between beach sand grains. Although the argument may be somewhat trivial, the term psammon as deFined by Sassuchin gt 3}. (1927) apparently reFers to organisms oF the sand rather than to those living in water within the sand. And wiszniewski (1934a) in deFining hydropsammon, hygro- psammon, and eupsammon writes oF these organisms living in their respective beach zones rather than in the water 0F their respective beach zones. The Fact, however, that wiszniewski reFerred to the psammolittoral as a unique type oF aquatic environment and used limnological tech— niques in its investigation may have led to the tacit assumption by subsequent investigators that the ”micro- psammon," which diszniewski reFerred to as the aquatic microorganisms living in the sandy beach substrate, obviously live in the interstitial water. Too, Strangenberg's (1934) use oF limnological techniques in the investigation 0F the psammolittoral and his reFerence to the environ- ment as an ”extremely eutrophic water medium” abetted this concept 0F the psammon as aquatic organisms. Pennak (1939) also has stated that the psammon are primarily the genera and species encountered in the true aquatic environment. when the sizes 0F larger members oF the Fauna living in the eupsammon zone are compared with data 0F porosity, grain size, and water content oF the substrate From which these organisms have been reported, an element oF doubt arises with respect to whether these Forms should 383 be considered aquatic or interstitial Forms. Lambe (1951) has stated that interstitial air has a relative humidity oF 100 per cent. It has also been noted that Dreshkina (1960) reported that capillary discontinuity occurs in sands oF 0.10 to 0.08 mm. mean grain diameter at approxi- mately Four per cent moisture content. Moisture content in the eupsammon zone Frequently is less than Four per cent at the surFace, but the literature indicates move- ment or migration oF certain elements 0? the psammon within the eupsammon zone. It would seem possible, there- Fore, that some members oF the psammon move about in and across interstitial water discontinuities. Thus, the "aquatic” organism 0F the psammolittoral perhaps survives in a humid but not necessarily aquatic environment. The Fact, as well, that in the Reach A1 study many 0F the algae Found are characterized as "terrestrial" in phyco- logical literature suggests that the concept oF psammon organisms as aquatic Forms may need some revision or raw Finement. It is a well-established principle in the litera- ture 0F psammolittoral studies that the amount oF water per unit volume oF sand diminishes with distance From shoreline (Sassuchin gt al., 1927; wiszniewski, 1934a, 1937a; Ruttner—Kolisko, 1953, 1954, 1956; Neel, 1948; Pennak, 1939, 1940, 1950). Consequently, the amount oF air per unit volume oF sand increases with distance From shoreline until near the landward limit 0F the psammon 384 any water present is hygroscopic, held in a thin Film upon sand and colloidal particles by Forces 0F adsorption. Instances in the literature where exceptions occur to the rule 0F decreasing water content with distance From shore— line have been attributed to random concentrations oF water-retentive prganic matter, irregularities in the beach proFile, variations in porosity and grain size, shade patterns, or drainage patterns within the beach (see Ruttner-Kolisko, 1953, 1954, For discussion 0F Factors producing variation in horizontal and vertical water retention patterns in the sandy beach). UnFortunately, as also pointed out by Ruttner- Kolisko (1956), the lack oF standardization oF methods oF presenting water content data makes generalizations con- cerning water content in the sandy beach subject to con- siderable error. Some investigators have reported water content as percentage wet gross weight, some as percentage dry weight, some as per cent saturation, some as per- centage oF void volume, and others as percentage oF gross sample volume. Evans (1958) encourages the presentation 0F moisture content data on the basis oF percentage wet weight. Hough (1957), however, states the reporting oF percentage water content on a dry weight basis is becom- ing increasingly the accepted standard in soils engineer- ing. But he also states that it is in some instances desirable to indicate water content as a percentage oF the total or wet weight 0F a soil sample and notes this 385 method was the prevailing practice "some years ago." It should be noted that iF water content is reported on a dry weight basis the water content values may exceed 100 per cent. It would seem advisable, thereFore, in ecolo- gically oriented psammolittoral studies to report water content on a wet gross weight basis in Future studies to Facilitate statistical treatment 0F the data, particular— ly in calculation oF r relationships. Too, it should be noted that air-dried soil, even desert sands, normally contains slight but measurable hygroscopic water (Hough, £22. git.). ThereFore, it is also encouraged that water content data be based on oven-dried rather than air—dried samples. Hough (£92. git.) has stated that For any given soil the possible range 0F water content values is so wide that any general statements regarding water content are oF little value. In addition, the only other water. content data relative to psammolittoral studies reported in the literature are based upon single collections isolated in time and/or space or upon other than wet or dry weight percentages oF oven-dried soil or sand. Probab- ly the most extensive data oF water content in beach sand are those reported by Pennak (1940, 1950), but these are reported as percentage saturation (see also Ruttner- Kolisko, 1953, 1954). Table 7 presents the results 0F determinations 0F percentage water content on gross wet weight basis For 386 each oF the 25 cm” intervals along the Reach A1 beach transect From November 9 to October 10. Water content data For the same intervals during the same time period are presented also in Table 8 as the percentage water con- tent oF monthly sand samples at each 25 cm. interval on wet weight basis expressed as per cent saturated capacity (see also pages 62 through 68 For detailed observations upon the results 0F beach sand water content determina- tions made during the 12—month transect study). Twelve-month mean percentage water content ranged From 3.00 per cent at the +300 cm. interval to 24.57 per cent at the +25 cm. interval. An inverse relationship was apparent between the 12—month mean percentage water content 0F any interval and its distance From the shore- line. With Few exceptions, this relationship occurred as well at each monthly collection period. Percentage water content during the 12-month study ranged From a low oF 0.01 per cent recorded on August 6 at the +300 cm. interval to a high oF 49.18 per cent at the +25 cm. in~ terval on December 8. No abrupt diFFerential was apparent in water content at adjacent intervals which would sug— gest the obvious division between the hygro- and eupsammon zones (see also Figure 6). As has been noted previously (pages 71, 380, and 381), however, there is some indica- tion that the limit 0F capillarity may have been reached at approximately the +175 cm. interval as evidenced by 387 the rapidly decreasing water content From that point up- shore during most months oF the 12-month study. As reported on page 64, maximum diFFerentials in percentage water content between shoreline and the +300 cm. interval occurred at those collection periods during which the substrate was Frozen. The minimum range, 12.78 per cent, occurred on April 6 within 24 hours aFter a heavy rain in the collection area. The 12-month mean range was 21.57 per cent between the +300 and +25 cm. intervals. The anomaly oF maximum diFFerentials during periods when the beach was Frozen was attributable to the very high moisture content oF the +25 cm. interval in the December-March period rather than to low readings at the upshore points during the same period. It was during the winter months that water-content maxima were recorded in the upshore intervals along the transect. 0n the basis oF 12~month means, the +300 cm. interval contained only 12.21 per cent as much water as did the +25 cm. interval. 0n collection dates in December and May through October, the driest interval (usually +300 cm.) contained less than 10 per cent 0F the amount oF water present in the sand 0F the wettest interval (usually +25 cm.). For discussion oF Table 8 and results 0F deter- minations oF the amount oF water present in monthly samples From each interval expressed as per cent satura- tion, the reader is reFerred to pages 64 through 67. It 388 may be noted here, however, that on the basis oF 12-month means the +300 cm. interval contained only 14.2 per cent oF theoretical maximum water retention capacity and the +25 cm. interval contained 102.8 per cent. The 12-month means oF certain intervals in excess oF 100 per cent theoretical maximum capacity was attributed to Fluctua- tion in organic content in the sand 0F shoreline inter- vals during the 12-month study. An inverse relationship between the amount oF water actually held by samples From each interval and distance From water line was apparent. Potential water retention capacity was most nearly real- ized those collection dates on which the beach was Frozen or aFter a heavy rainFall. Greatest departure From po- tential water retention capacity occurred during summer months when the most landward intervals Frequently con- tained less than 10 per cent 0F their theoretical water retention capacity. Pennak (1940) has presented mean percentage satura- tion values For 18 series oF determinations made on the amount oF water held in 12 wisconsin Freshwater beaches with reFerence to vertical variation in the amount oF water held at one cm. interVals From surFace to eight cm. below the surFace. Pennak Found no vertical water reten- tion gradient at the zero interval. At the 50 cm. inter- val, however, he Found the lowest Five cm. practically saturated and the top three cm. showing evidence oF dry- ing with 86 per cent saturation in the uppermost cm. All upshore intervals exhibited 350 cm. intervals, the mean For the top cm. 0F sand was the bottom cm. reached only reported very Few organisms 389 vertical gradients. At the percentage water saturation less than one per cent, and 23 per cent saturation. He in sand samples which had a saturation oF less than 10 per cent. Apparently, Pennak (1939, 1940, 1950) believed the amount oF water within the sand to be primarily re— sponsible For vertical distribution oF psammon organisms. He reported (1950) that more than 95 per cent 0F the psammon are located in the top six cm. oF sand and more than 50 per cent are Found in the top Four cm. In drier zones at distances oF 250 to 350 cm. From water line, the psammon tend to be concentrated at depths oF Four to eight cm., he stated, chieFly because oF lack oF inter— stitial water toward the surFace. He has also noted (1939) that there is a tendency For copepod concentra— tion to shiFt downward where the surFace oF the sand be— comes dry. Ruttner-Kolisko (1956), however, attributes her observation that all animal groups in the psammolittoral exhibit a tendency For maximum population density to move downward with increasing distance From the water line to be due to increased air circulation at greater depths in the absence oF interstitial water. It has been noted previously in this chapter that Neel (1948) con— cluded the psammon to be restricted essentially to the 390 uppermost two cm. oF sand because oF the Failure oF light I to penetrate more deeply than 1.5 cm. into the sand and the close proximity oF the anaerobic black layer. Neel reported that the concentration oF psammon near the sur- Face indicates the dependence oF heterotrophic Forms upon photosynthesis For nutrition and oxygen. Those organisms carried to lower levels by waves and gravitational water, he believed, must move back to the surFace or perish. Sakharova (1963) has also reported that 90 per cent oF the psammon Fauna are concentrated in the upper two_cm. oF substrate but makes no generalized statement as to the l cause. ' As Far as can be determined From a more or less exhaustive search oF the literature oF psammolittoral studies, only Heel (1948) and Baklanovskaya (1963) have made more than superFicial reFerence to the algal com- ponent oF the psammon. Neither presents a critical eval- uation oF the vertical distribution oF algae in the sandy beach, although Neel does present in tabular Form evi- dence that relatively Few algae are Found at depths great- er than two cm. Consequently, it must be assumed that on the basis oF inFormation presented in reports oF studies oF terrestrial algae From substrates having textures similar to those oF the psammolittoral that psammon algae are Found essentially in the top cm. 0F the sand and apparently are most heavily concentrated in the tOp Few mm. (Tchan, 1953; Tchan and whitehouse, 1953; Cameron, 391 1964; Allem, 1950; Bracher, 1929; Shields and Durrell, 1954; Evans, 1953, 1959, 1960; John, 1942). There is, however, considerable evidence 0F ver- tical migration oF soil or psammon algae in response to moisture variation. Peterson (1935) has reported that algae migrate about in the top Few mm. oF soil in response to changes in moisture. Aleem (£22. git.) Found that Free water, at least 30 percent by wet weight, is neces- sary For vertical movements oF diatoms and dinoFlagellates in mudFlats. Bracher (lgg. git.) concluded that the vertical distribution oF euglenoids and diatoms in river shores was related to water content inasmuch as labora- tory and Field observations indicated that euglenoids occupied dry ridges and the diatoms moist Furrows in the exposed shore. Evans (1958, 1959, 1960) has Found evi- dence that motile algae descend as much as Five mm. into pond margin litter and mud with decreasing water content and rise to the surFace when surFace substrate water con- tent increases. Diatoms, he reported, are Found on the surFace when relative humidity is 70 per cent or more and migrate downward when the humidity Falls below 79 per cent. Among the list oF migratory species presented by Evans were Pinnularia viridis, E. microstauron, E. subcapitata, E. braunii, Chlamydomonas sp., Euglena sp., Trachelomonas volvocina, Eunotia sp., Nitzschia galea, and Gomphonema garvulum. 392 Although no attempt was made to determine vertical distribution patterns For the algal component oF the Reach A1 beach transect psammon, it is believed that core samples taken to depths oF two cm. negated any irregularities in counts produced by vertical migration, iF it occurred. There is abundant evidence in the literature oF psammolittoral investigations For the generalization that horizontal distribution oF the psammon varies From hydropsammon zone to the eupsammon zone and within each zone as well. Ruttner—Kolisko (1956) in review oF the literature oF psammolittoral studies notes that the diF- Ferent taxa oF the psammon Fauna exhibit diFFerent pat- terns oF horizontal distribution. She attributes these distribution patterns to variations in the amount oF oxygen, organic material, and water content From the lakeward to upshore extremes oF any psammolittoral tran- sect. In a review oF numerous psammolittoral studies, Pennak (1950) concluded that the Protozoa, Turbellaria, Nematode, Castrotricha, and Oligochaeta display no par- ticular horizontal distribution patterns in the sandy Freshwater beach. These groups, he states, are scattered about the psammolittoral at random or are conFined to the hygropsammon where suFFicient interstitial water is present. There apparently is in the literature OF in— vestigations oF the marine or Freshwater psammolittoral no conspicuous exception to the principle that the 393 hygropsammon or eupsammon zone. It should be noted, however, that Schwoerbel (1961) has Found the hyporheic portion oF the lotic psammolittoral to be quite produc— tive, but it is not clear how productive this environment may be with respect to the exposed river shore. Pennak (lgg. git.) states, on the other hand, that the Rotatoria, Tardigrada, and Copepoda oFten show speciFic distribution patterns For wet or dry zones at speciFic distances From the water line. In dry periods, he continues, when the lake level Falls, there is a cor- responding activo horzontal migration oF the microFauna that may be easily traced (see Pennak, 1939, 1940, 1950, For listings oF speciFic distribution patterns oF re- presentatives oF the taxa listed above). Although horizontal distribution patterns are not discussed at length in their publications, Jiszniowski (1937a, 1934a, 1934b, 1934:), Sassuchin at al. (1927), and Ruttner- (olisko (1953, 1954) present tables that do indicate horizontal distribution patterns For certain components oF the psammon Fauna. Neel (1948) has concluded that position with reFerence to the water line appeared to have little eFFect upon numbers oF microorganisms except near the two ex— tremities oF the six lake psammolittoral transects he studied. He Found that low populations at the lakeward end oF the transects were due to deposits oF marl and organic debris in interstices. Relatively small amounts 394 oF interstitial water near the landward limits oF the transects he Felt were responsible For low densities there. He Found no signiFicant decrease in the number oF organisms above water line on the transects until the surFace oF the sand became obviously dry. There are Few published studies oF the psammo— littoral which include data relative to horizontal dis- tribution oF the algal component oF the psammon. diszniewski (1934a) makes only passing reFerence to the algae in his review oF psammolittoral investigations up to 1934. Although he noted that rarely do ”blooms" oF algae appear in the hydropsammon, noticeable growths which he postulated were diatoms appeared on the submerged sub— strates near the water line 0F a number oF sampling areas. Round (1965) has termed this association the "epipsamm:n“ and describes it as an epipelic association OF motile diatoms Found in Freshwater sandy sediments. Although Round classiFies the association as epipelic as contrasted He notes that the diatoms are Firmly at- to epilithic, tached to the sand grains. fliSZniewski (lgg. gig.) stated that in the hygropsammon zone algae appear in small numbers and seldOm Form blooms. A characteristic oF the eupsammon zone, he continued, ‘5 the large numbers oF algae which typically Form blooms at times to give the beach an intense green color, the ”green horizon" des- cribed by Sassuchin gt a1. (1927). There the gree ...—— horizon, wiszniewski stated, may extend several cm. below the sand surFace. Although Sassuchin _e_t‘ _a_1_. (_l_o_c_. 9_i_t.) do not dis— cuss horizontal distribution oF the psammon algae in length, their tables do indicate algal distribution pat— terns. It should be noted that Sassuchin gg gl. based their generalizations about psammon upon data derived From samples taken almost exclusively in what must have been the eupsammon zone. Thus, reFerence to their some- what limited and subjective data relative to horizontal distribution oF psammon algae may lead to erroneous con- clusions. Sassuchin g3 gl. ascribed the limits oF hori— zontal distribution oF the green horizon to the amount oF moisture in the sand, and they noted that the green horizon contained almost all the microscopic biota oF the sand. They Further noted that algae, particularly diatoms, comprised the principle portion oF the micropsammon. Host abundant in the green horizon, they stated, were Phormidium sp., Oscillatorio tenuis, Navicula radiogg, fl. cryptocelphala, Nitzschia palea, Chlamydgmonas sp., and Scenedesmug quadricauda. Quantitative data reported by Ruttner-Kolisko (1953, 1954) relative to number oF algae per cc. oF sand samples in hydro-, hygro—, and eupsammon zones present no clear evidence oF “preFerence” oF various groups For particular zones, and she makes no generalizations with regard to horizontal distribution oF psammon algae. 396 Neel (1948) although presenting probably the most voluminous quantitative and qualitative data relative to psammon algae reported in the literature oF psammolittoral studies, in quantitative tables lists only the genera Herismopedia, Pediastrum, Scenedesmus, and Cosmarium, lumping all others as diatoms, Chroococcales exclusive oF Merismo edia, or green algae exclusive oF Pediastrum, Scenedesmus, and Cosmarium. He concluded that diatoms, blue—green algae, and "others" exhibited no general horizontal distribution patterns along six transects extending From as Far as 50 meters into the hydropsammon to the eupsammon Five meters upshore From the water line. Baklanovskaya (1963) in summary oF a 12—month study oF the algal Flora oF a Freshwater sandy beach, reported 50 species present in the hydropsammon, 58 species in the hygropsammon, and 71 species in what ap— parently was the eupsammon zone. He noted that in number oF individuals the blue-green algae dominated the algal community at all beach stations, particularly those at the water's edge. Blue—green and green algae predominated in the hygropsammon zone. Green algae and diatoms were cemmon in the upshore stations. He reported that in the majority oF instances the diatOms were Found in a dying state. Shields and Durrell (1964) in a review oF 184 reFerences related to systematic and physiological studies OF soil algae and their interrelations with their 39? environment have concluded that the soil algal community structure is inFluenced less by the chemistry oF the sub- strate than by the amount oF available moisture. They note that where water is not a limiting Factor, soil nutrients tend to govern luxuriance oF the soil algal Flora and the number oF species represented. The abun- dance oF algae in soils, they state, is closely related to the amount oF necessary mineral salts, Favorable pH, and moisture conditions. Shtina and Bolyshev (1963) in studies oF algal communities oF arid and desert steppes Found the composition oF ephemeral crust-Forming algal communities to be essentially similar in all sample sites with the expression oF two basic community types depend— ing upon the amount oF water present. Tchan and Jhitehouse (1953) in laboratory experi- mentation relative to variation 0F algal populations in sandy soils discovered that optimum growth oF soil algae occurs at approximately 63 per cent water-holding capacity. No Further increase in growth rate was noted when soil algae were cultured in soils retaining more than 35 per cent oF water—holding capacity. to growth was observed by algae in soil cultures containing less than 12 per cent oF water-holding capacity, approximately three per cent water by weight. Tchan and Hhitohouse concluded that the minimum amount oF water For algal growth is between 12 and 24 per cent oF water—holding capacity. They Found algal populations in air dry soil seemed to , «if-v -£§y_»:§"%> .\ 398 stabilize at about 65 per cent their number in optimum conditions. Thus, Tchan and whitehouse concluded, soil algal populations tend to stabilize in soils below 12 per cent and above 65 per cent water-holding capacity. They state that between these limits water content oF soil apparently plays a major part in controlling rate oF algal growth. According to Shields and Durrell (log. git.), the optimum moisture range For soil algae is about 40 to 60 per cent oF soil moisture-retention capacity, but they review reFerences in the literature where blue—green algae and diatoms have survived For 26 to 73 years in sealed containers retaining soil having From only three to ten per cent water content. Reported particularly resistant to prolonged drought were Chlorococcum humicola, Trochiscia aspera, Phormidium tenue, Nitzschia palea, and Nodualaria harveyana -- all 0F which were present in samples taken during the 12-month Reach A1 beach transect study. Peterson (1935) has reported that HEDEEEEDEE amphioxys and Navicula mutica are Fully active in soils containing only 5.2 per cent water. It might be noted here that during the Reach A1 transect study counts oF algae ranging From 1,369 to 12,846 individuals/cc. 0F sample were recorded From samples containing less than one per cent water on wet gross weight basis. Shields and Durrell note that Chlorococcum humicola, a species conspicuous in quantitative and qualitative samples From 399 all Four intervals sampled during the Reach A1 study, is considered to be the universal soil alga. Shields and Durrell ($22. git.) state that the physiology oF drought resistance exhibited by certain algae is not known. The presence or absence 0F a sheath may not be a Factor, since many 0F the most resistant Forms lack sheaths. Fritsch and Haines (1923) have re- ported in some length relative to the remarkable resis- tance oF some terrestrial algae to drying. Fritsch (1922) has noted that in England the most rapid growth oF soil algae occurs in the winter, and he has observed that air dry algae may display a steady increase in weight when exposed to a humid atmosphere, showing the marked absorption oF atmospheric moisture when humidity is high. Durrell (1962) has reported that air-dried Nostoc can absorb twelve times its own volume and weight oF water in six minutes. Durrell (lgg. git.) has listed 23 species oF algae living in Death Valley environments where the rate 0F evaporation exceeds the amount oF rainFall by a Factor oF 100, where the surFace temperatures may reach 1900F., and where the only available water Frequently contains at least Five to six per cent sodium chloride. Eight oF the 23 species listed by Durrell —— including Chlorococcum humicola, Phormidiufl tenue, Hicrocoleus vaoinatus, Anacystis montana, Uscillatoria agardhii, Phormidium ambiquum, E. angustissimum, and Egflphgsph§3££fl aponina —— were also common in the Reach A1 beach 400 transect, although not necessarily showing "preFerence" For the driest intervals along the transect. Microcoleus va inatus, one oF the most common algae present in the Reach A1 beach substrate, is report- ed by Durrell and Shields (1961) to be one oF the most important algae involved in the Formation oF algal crusts on the moist surFace oF soils oF the arid southwestern United States. Nostoc, Phormidium, Nodularia, and fiicrocoleus va inatus, according to Durrell and Shields are the most common crust-Farmers on desert soil. They note that crust samples air dried For more than one year become green on the second day aFter exposure to moisture. The colloidal sheath oF fl. vaginatus has great water- holding capacity. The development 0F this alga and others oF the crust complex is apparently Favored by alkaline conditions. Cameron (1964) in a review oF the literature oF the soil algae oF arid areas, particularly the south- western United States, lists 67 algal t'xa characteristic oF arid soils. FiFty oF the ED algal species listed by Cameron are cyanophytes, and only eight are green. Cameron states that diatoms are not common in dry areas. The most cemmon arid Forms, according to Cameron, are Microcoleus vaginatus, fl. chthonoplastes, Scytonena hoFmanii, Schizothrix macbridei, Nostoc muscorum, and Plectonema nostocorum. All six have been reportcd to resist dessication For as much as Five years and to 401 thrive at 90 to 100°F. in aqueous cultures. Microcoleus vaginatus and fl. chthono lastes, reported Cameron, were Found in 75 per cent oF soil samples examined and were the most rapid oF the soil Flora in reporduction and development. It is oF interest that oF the 60 algal species listed by Cameron as characteristic oF arid soils, almost one—third were also present in samples taken From the Reach A1 beach transect. These included Anacystis montana, Coccochloris peniocystis, Nodularia harveyaga, Aulosira lgxg, Lyngbya aestuarii, flicrocoleus acutissimus, fl. chthonoplastes, fl. va inatus, Qspillatoria Formosa, Q. limosa, Q. sancta, Q. tenuis, Phormidium ambiguum, and Porphyrosiphon Fuscus. Evans (1958, 1959, 1963) in a series oF studies concerned with the survival oF algae during unFavorable environmental conditions discovered that the algal Flora in marginal deposits and upon exposed banks 0F Fresh- water pools decreasos rapidly in Frequency and number oF species when soil moisture content Falls to less than 50 per cent On wet weight basis. He noted also succession OF algal populations as moisture content oF soil changes and evidence oF surFace horizontal migration oF diatoms and euglenoids, perhaps in response to localized accumula- tion oF nutrients or moisture. Evans also reported that although desmids in general could not us ally withstand exposure and drying in the vegetative state, Cosmarium imDTBSSulum, Q. botrytig, and Closterium sp. were drought 402 resistant. It might be noted here that Q. impressulum was the most temporally and spatially widespread oF the desmids in samples taken during the Reach A1 beach transect study, but Q. botrytis was present only in Reach A1. Diatoms, Evans noted, were well able to stand exposure, Nitzschia palea populations in Fact increasing upon drying. Also noted by Evans to be particularly drought resistant were the species Scenedesmus guadricauda, Stauroneis ohoenicenteron, Nitzschia linearis an ,. Oscilla toria tenuis —— all also common in e~eples col- lected during the Reach A1 beach transect study. dith reFerence to relationships between water content oF the Reach A1 beach transect and distribution oF the algal components oF the psammon in space and time, attempts to reconcile Fluctuations in qualitative and quantitative abundance oF any particular algal tax0n From Division to species level with the monthly or mean water content at a given inter'al can only be termed Fatuuus. The biological data an ered in ta Ml s 13 through 40, illustrated in Figures 27 through 33, and discussed in pages 143 to 315 Frequently suggest that distribution patterns For any given taxon mid j'ut possibly be related to the monthly or mean water center t at certain tra.sect intervals. For instance, when qualitative horizontal distribution oF algae is considered at Division level over the entire 12-month period oF the Reach A1 study (see Table 33), it is seen that in the Cyanophyta, 403 Chlorophyta, and Chrysophyta there is a pronounced diminution in number oF species shoreward From the +25 cm. interval to the +300 cm. interval. At the Order level, the same tendency is evident in the Hormogonales, Chlorococcales, Zygnematales, Centrales, and Pennales. No general pattern oF diminu- tion oF species with distance From shoreline was clearly evident For the Chroococcales, Euglenales, Tetrasporales, or Dedogoniales. The number oF species assigned to the Volvocales, Heterococcales, and Chrysotrichales on the other hand increased with distance From shoreline. ReFerence to Table 3? reveals that there was exhibited in each monthly series oF qualitative samples a pronounced decrease in total number oF species shore- ward along the transect (see also pages 262 through 301 For summary recapitulation oF qualitative data relative to the temporal and spatial distribution oF the algal component oF the psammon oF the Reach A1 beach transect during the 12—month study). Tables 39 and 43 and Figures 35 and 35 also in- dicate a pronounced decrease in most months in total number oF algal individuals per cc. 0F sand From the +25 cm. interval to the +300 cm. interval oF the beach study (See also pages 301 through 315 For a summary recapitu— lation oF quantitative data relative to spatial and temporal distribution oF algae oF the Reach A1 beach tran— sect during the 12—month study). 404 That species such as Dactylococcopsis rhaohidioides, fiicrocolegs acutissimgs, Dscillatoria agardhii. Schizothrix lacustris, Botrydiopsis arhiza. figvicula capitata, and Heidium dubium -- to list just a Few —- apparently exhibit- ed "preFerence" For certain intervals along the transect is clearly evident in Table 35. In spite oF the Fact that both qualitative and quantitative algal abundance diminished with landward distance From the Reach A1 waterline, and despite the evidence that certain algal species showed deFinite dis- tribution patterns with respect to water content within the substrate, there is no justiFication For cencluding that it is water content that is responsible For these phenomena. Obviously, water content was involved in the distribution oF the psammon algae in the Reach A1 beach transect, and water content is probably the primary deter- minant cF temporal and spatial distribution oF the algae oF the psammolittoral environment. But it is also obvious that controlled laboratory experimentation will be neces— sary to determine to what degree water content does in— Fluence the distribution oF algae in the psammolittoral zone. In an attempt to determine statistically whether there was evidence oF water content inFluencing the com- position oF the algal component oF the psammcn Flora along the Reach A1 beach transect, the amount oF water present monthly at each interval expressed as percentage 435 wet gross weight was plotted against algal index of diversity at each interval sampled each collection date (see pages 315 to 325 for methods of determination of algal index of diversity and relevant discussion there— of). As indicated on pages 340 through 344 and illus- trated on Figure 43, calculation for standard correla- tion coefficient (r) between algal index of diversity and water content gave a r value of 0.83258, well within 95 per cent confidence limits. According to variance interpretation tables for correlation coefficients when r=G.83258, approximately 64 per cent of the variance in index of diversity during this study could be attributed to variance in percentage water content within the beach sand substrate. Apparently the percentage water on wet gross weight basis at each interval was the primary factor in determination of qualitative and quantitative aljal abundance at the beach transect intervals sampled. The relationship was direct. Although there is, therefore, statistical evidence that water content did determine in part the number of species of algae and the number of algal individuals per cc. of sand at any interval sampled on the Reach A1 beach transect, there is no evidence that water content determined the appearance of any given algal taxon at any given beach interval. 496 Chemistry of interstitial and lake water: pH A review of pH data reported in the literature of psammolittoral studies indicates the principle exists that pH values, almost without exception, increase with distance shoreward from waterline, i.e. the relative acidity of interstitial water increases the further the sampling site is located from the adjacent water basin (Neel, 1948; Pennak, 1939, 1949, 1959; Pirrie gt al., 1932; Stangenberg, 1934; weber, 1963; Ruttner-Kolisko, 1956; fiiszniewski, 1934a, 1936a, 1936b, 1936c, 1935; Schwoerbel, 1951). It should be emphasized that in almost every report in the psammolittoral zone literature in which pH is given, the pH has been determined upon inter- stitial water drawn up from the beach with an aspirator. Further, in most instances the determinations have been made upon interstitial water collected only 100 cm. or less from the waterline. Tables 12 and 13 include pH data from the water of Reach A1 and interstitial water respectively (see also Table 10, Figure 7, and pages 71 to 77 for additional information relative to pH data recorded during the 12- month Reach A1 beach transect study). Lake surface water pH immediately offshore from the transect ranged from 7.2 to 9.5. Median pH during the 12-month period of collec— tions from the lake was 8.4 with a range of 2.3 pH units. Interstitial water pH ranged from 6.9 to 8.3 with a median 407 of 7.8 and a range of 1.5 pH units (see page 41 for des- cription of site of interstitial water collections). In the few instances where the psammolittoral zone investigators have ventured a hypothesis for this increase in pH with upshore distance from the water basin, it has been attributed to high levels of dissolved carbon dioxide produced by decay of organic matter (Ruttner- Kolisko, 1956; Neel, 1948). But in most instances where dissolved carbon dioxide levels are reported in the litera— ture of psammolittoral investigations, the amount of €02 decreases with distance upshore rather than increases. A possibility for the increase in pH with distance shoreward is the fact that the amount of water generally decreases with increased distance from shoreline. Russell (1950) has pointed out that for any given soil there is a tendency for the pH to increase as the soil becomes drier (see Russell pp. 98-103 for an explanation of the diffuse double layer of cations about soil particles and its influence upon pH of soil solution with decrease in soil water volume). Thus, the drier the soil, the more acidic the soil solution. Another point to be considered is the balance be- tween oxidation and reduction of soil solutes with respect to dissolved oxygen. It has been previously noted that the psammolittoral zone is frequently characterized by a "black layer" of sulfides beneath the surface. As the psammolittoral substrate becomes drier, the oxygen content 325M: ». . E‘ ‘ 408 apparently rises (see later). According to Russell (lgg. git.), as soil sulfides are oxidized to sulfates in the presence of oxygen, the pH may increase to as much as 4.0. Pennak (1939) in noting the difficulty involved in procuring interstitial water for pH determinations at distances more than 100 cm. from the waterline, pointed out the need for a method of determining pH at points beyond 100 cm. from the waterline. So far as can be determined in a more or less exhaustive review of the literature of psammolittoral investigations, there have been no published reports of pH determinations upon quantities of the substrate itself rather than inter- stitial water drawn up from the substrate. Table 10 presents data resulting frow monthly determinations of pH in the substrate at each 25 cm. interval along the Reach A1 transect during the 12-month sampling period (see pages 43, 71, and 73 for methods involved in sub- strate pH determinations). The pH of intervals along the transect ranged from 8.6 to 7.0. In all months but February and march the pH increased, i.e. became more acidic, along the transect with distance landward from shoreline. From November through April, pH range along the transect ordin— arily did not exceed a value of 0.4 pH units. Ranges in other months were considerably greater, becoming one or more pH units in June, July, September, and October. In 409 February and March, the pH became slightly more alkaline at the most landward portion of the transect than at the intervals closer to the lake. It was in January through March that lake pH was closest to neutrality. As stated on page 75, comparison of Figure 7 with Table 10 reveals that monthly shifts in pH of lake water tended to be reflected by similar shifts at any given interval along the transect. The closer the transect interval to the lake, the more nearly did the shift of pH of that interval compare in magnitude to that of the lake. All intervals exhibited a rapid shift toward alkaline conditions following warming conditions that induced complete substrate thaw in late March. In comparing results of pH determinations at each interval alang the Reach A1 beach transect with data reported in the voluminous literature of pH - algae relationships, those references concerned with pH and the algae of freshwater and marine environments have been arbitrarily excluded. Inasmuch as water could be drawn up from the sand within 100 cm. proximity to any psammon sampling point only on the April through June collection dates, there seems to be little point in relating psammon algae to pH relationships reported for aquatic environ- ments. Lund (1962) in reviewing the literature of studies of the ecology of soil algae with respect to pH has con- cluded that most soil algae are found over a fairly wide 41D pH range. Nearly neutral or slightly alkaline soils have the most species but not necessarily the largest crops. Lund states that as a generalization most Cyanophyta pre- fer neutral or alkaline soils; most Chlorophyta exhibit maximum growth at neutral pH; and blue-green algae and diatoms are usually rare or absent in acid soils. He concludes that numerous errors in taxonomic identifica- tion and incorrect culture techniques make it difficult to generalize in reference to pH limits tolerated in nature. Cameron (1964) reported that arid soils with a pH of less than 6.8 have restricted blue-green algal floras. Shields and Durrell (1964) also found that most soil algae tolerate a wide range in pH, but that pH does have a decided effect upon the nature of the dominant species in any soil association. Although pH in itself may not be a directly critical factor in soil algal ecology, chemical processes in the substrate dependent upon pH may be affected. Cyanophytes and diatoms, they reported, are favored by alkaline soils. Lune (1945), John (1942), and peterson (1935) all have reported that diatoms are poorly represented in acid soils. There apparently have been no published reports in the literature of psammolittoral investigations in which efforts have been made to relate algal spatial and temporal relationships to substrate pH. No obvious rela- tionships were apparent when pH monthly fluctuations or we‘re-*3?! “T , , 411 variations along the Reach A1 beach transect were com- pared with algal distribution patterns observed during the 12—month sampling period. True, in each month there was a tendency for substrate pH to become more alkaline with diminishing distance between sampling interval and waterline. And reference to tables 36 and 38 indicates that in general more species of blue-green algae and diatoms were found at the more ”alkaline" intervals than at those with relatively greater acidity. Comparison of figures 28, 30, 32, and 34, however, does not indicate any quantitative preference by blue-green algae and diatoms as groups for any particular interval sampled. The range of pH along the transect in any given month, too, seems inconsequential in view of the statements in the litera- ture that most soil algae -- or aquatic algae for that matter —~ tolerate relatively wide ranges in pH. In the absence of any data to the contrary, it may be assumed that pH had little if any effect upon quantitative or qualitative expression of the algal flora of the Reach A1 beach transect during the 12—month study. Alkalinity determinations made upon samples taken at 25 cm. intervals each month along the Reach A1 beach transect indicated that on any given collection date alkalinity tended to decrease markedly with distance from shoreline, the greatest differences occurring in the summer months (see pg. 44 for methods utilized in deter- mination of substrate alkalinity, Table 11 for results 412 of determinations given as bicarbonate alkalinity ex- pressed as ppm. CaCOs, and pages 76 and 78 for detailed observations relative to alkalinity data). Because of the large number of unmeasured variables which produce alkalinity, perhaps the only valid conclusion that can be drawn from the data of substrate alkalinity determina- tions is that organisms present in the interstitial water of the upshore portions of the transect were more subject to pH variations than those in the more lakeward portions. Since alkalinity is ordinarily produced by solutions of salts of weak acids, the higher alkalinity at the inter- vals nearest the waterline in all likelihood acted as a buffer to rapid and pronounced pH changes. Eflgflistry of lake and interstitial water: dissolved gases and dissolved solids Stangenberg (1934) characterized the psammolittoral as an extremely eutrophic aquatic habitat as a result of chemical analyses of interstitial water drawn up from the hygropsammon zone of several Polish freshwater beaches. Comparing results of determinations of pH, dissolved oxygen, carbon dioxide, inorganic and total phosphorous, ammonia and nitrate nitrogen, iron, chlorides, silicates, sulfates, oxygen demand, and total organic and inorganic dissolved solids in interstitial water and water from the adjacent lake, Stangenberg found values for dissolved solids to be far greater in interstitial water than in 413 lake water. Values for total dissolved solids in inter- stitial water he found to be as much as 194 per cent as great as values determined in the lake. Pennak (1939, 1940, 1950) in reviewing the pub— lished reports of psammolittoral investigations noted the chemistry of interstitial water to differ greatly from that of the adjacent water basin. Although in marine beaches, he reported, the concentration of dissolved solids in the beach does not differ appreciably from the amount in the adjacent sea, in freshwater beaches inter- stitial water contains on an average 50 per cent more dissolved materials than are present in the adjacent lake or stream. It should be noted that generalizations in the literature concerning the chemistry of interstitial water are in almost all instances based upon determinations made upon water drawn up from the substrate with an aspirator (Pennak, 1939, 194a; Heel, 1948; "fiszniowski, 1934a, 1935, 1936c; ieber, 1963; Ruttner-Kolisko, 1956; Schwoerbel, 1961). In almost all instances the water could not be drawn up from any location more than 100 cm. from waterline. Consequently, little chemical informa- tion is available from any zone of the psammolittoral but that of the hygropsammon. Pennak (1939) and Ruttner- Kolisko (lgg. git.) have both commented on the need for better methods of sampling interstitial water, particularly Tessa , A 414 the small amount of water present between one and three meters upshore from the waterline. The assumption apparently has been made by many investigators of the psammolittoral zone that the inter- stitial water withdrawn from the beach has come from the level penetrated by the tip of the aspirator probe. Kohn (1928) has noted that it is often assumed when a pipette is used to remove suspensions or solutions from a given depth below the surface of a liquid that the pipette removes a thin layer of liquid at the required depth. It appears this assumption has been made in most studies of interstitial water of the psammolittoral zone. But Kohn reports that actually a sphere of liquid is removed the volume of which equals that of the pipette, the center of the sphere being at the end of the pipette. Pennak (1940), who inserted the collecting probe four cm. into the beach, stated that data resulting from chemical determinations upon the interstitial water col— lected represented average chemical conditions between surface and a depth of eight centimeters. Neel (1948) stated that chemical features of water at depth of four cm., which was the depth of probe tip insertion, undoubted— ly differed from those of water contained in the upper— most layors of sand where most organisms occur. 5991 concluded that although chemical analysis nf the inter“ stitial water so collected did not furnish data relative to the surface stratum of most abundant life, it did offer 415 information concerning processes present in the beach and relationships with lake water. In an effort to determine the source of inter— stitial water drawn up from the hygropsammoo zone of the Reach A1 beach transect, a number of investigations were made utilizing uranine as a chemical tracer (see pages 105-109 for a description of methods employed and detail- ed observation of the results). It was concluded from these investigations that the interstitial water with- drawn from the hygropsammon zone of the Roach A1 beach transect was not from the surface layers of sand, but rather it apparently is derived from depths below the terminus of the aspirator probe. Consequently, the chemical data resulting from determinations upon the interstitial water withdrawn from the beach are most likely not those of the upper photic layer but instead are illuatrativo of conditions in the abiotic zone be- neath. It was further concluded that interstitial hater , chemistry reported in the literature reflects conditions ‘ in the ”raw material” water of the abiotic zone which is drawn upon by organisms in the photic zone. As has been noted previously, there is no conclusive evidence that interstitial water is derived from the adjacent water basin or that chemical conditiOns within the interstitial water may influence those within the adjacent water basin. A review of reports upon chemical analyses of psammolittoral zone interstitial water reveals a number of apparent principles with respect to quantities of dis- solved gases and solids. Almost without exception, it has been reported that the amount oF dissolved oxygen in interstitial water is less than in the water 0? the ad- jacent basin (Heel, 1948; Stangenberg, 1934; fliszniewski, 1934a; Ruttner-Kolisko, 1956; Pennak, 1939, 1040, 1950; fieber, 1963). Host investigators have attributed this to rapid utilization of oxygen in decomposition of inter- stitial matter. Pennak (1930) has noted that rarely can a water sample be taken From a Freshwater beach at 100 cm. From waterline that shows as much as one ppn. xygen. Pennak believed many members of the psammon Fauna are Faculativc anaerobes inasmuch as they can be Frequently t: .4 v collected From oxygen rreo otr Several investigators have reported pronounce” U) U }..1 C (I) 1 horizontal gradients in the amount of oxygen dis~ in interstitial water. Pennak (1Qéfl) reported that average dissolved oxygen determinations in 13 beache gave values of 5.? oer. at waterline, 1.5 pom. at 39 or distance From waterline, and 0.4 mph. at 1WD cm. with mean lake oxygen content of 9.4 ape Ruttner—Kolisko (1??‘) has noted the principle that dissolved carbon dioxide values in interstitial mote: increase with distance upshore From waterline. Penna? (1939) reported that mean dissolved carbon ”iexide value: in interstitial water from 13 Freshwater beaches rnngnd 417 From 2.0 to 9.5 ppm. at waterline but From 4.5 to 38.0 ppm. at collection sites 100 cm. From waterline. Although Heel (1943) Found values For bound carbon dioxide to be variable in Freshwater beaches, he reported that during his investigations interstitial water always contained more bicarbonate than did lake water. He attributed the relatively high bicarbonate values in interstitial water to action 0F Free carbon dioxide in solution upon deposits oF CaCUz in the sand. Weber (1953) has also reported increasing amounts oF dissolved bicar- bonates in interstitial water with distance landward From waterline. Pennak (193;) has reported the interstitial water oFten contains EU per cent more bound carbon dioxide than does water oF the adjacent lake. Tables 12 and 13 present results 0F chemical analyses conducted upon interstitial water and lake water during the 12-nonth Roach A1 peach transect study (so: also Figures 8 through 2a and Dogs: 7o throunh 105 For detailed observations relative to determinations oF hi— carbonate alkalinity, carbonate alkalinity, calcium hardness, carbonate and non—carbonate hardness, total hardness, dissolved oxygen reported as ppm. and as psr cent saturation, dissolved carbon dioxide, dissolved volatile and non—volatile solids, nitrat: and nitrite nitrogen, erthophosphates, total iron, sulFates, and silicates). ‘1, Ma‘s-n; s 419 Values For dissolved carbon dioxide in lakewater ranged From 18.0 to 0.0 ppm. (see Figure 8). In general dissolved carbon dioxide values tended to be highest in winter months and lowest in summer. Dissolved carbon dioxide content in interstitial water ranged From 133.0 (?) to 2.0 ppm. As indicated on Figure 3, dissolved car- bon dioxide content was appreciably higher in interstitial than lake water on all collection dates but August 5. Ho relationships appeared between lake and interstitial water with reference to relative amounts oF dissolved carbon dioxide reported monthly. During the seven—month period when interstitial water could be withdrawn From the beach, mean dissolved carbon dioxide value in the beach was 18.2 and in the lake 1.9 ppm. Eigration oF the site For collection of inter— stitial water makes it difficult to determine whether monthly variations exhibited in interstitial water data were nttributablc to seasonal variation or change in col— lection site (see page 41). Values For dissolved oxygen as ppm. in lakewetar ranged from 13.6 to é.3 ppm. In general dissolved oxygen in lakewater reported as ppm. was highest during winter months and lowest during the summer. in interstitial water, dissolved oxygen content in ppm. ranged From 7.2 to 3.0 ppm. The amount of oxygen in interstit' was considerably less than that in the lake on any given collection date (see Figure 9). There was evidence 0? direct relationship between the amounts of dissolved oxygen in lake and interstitial water from April through October. Kean value of dissolved oxygen in ppm. during these months when interstitial water could be withdrawn From the eeach in interstitial water was 1.2 and in lake water 8.1. In lake water dissolved oxygen content repertec as per cent saturation ranged From 103.0 to 39.0. No seasonal trends were apparent, maxima and minima Fluctuat- ing irregularly throughout the 12-aonth study. Per cent dissolved oxygen saturation in interstitial water ranged From 31.0 to 0.0. Again no seasonal trends were apparcn.. LJ H C U I An apparent direct relationship did occur, howevv tween relative oxygen saturation in lake and interstitial water (see Figure 10). Noon oxygen content as per cent saturation during those months interstitial Petr“ coulfi be withdrawn From the beach was 88.2 in 3: ch 31 and 11.? in interstitial water. Total dissolved solids reported as wg./l. in 1.bn water during the 12—nonth study ranged From 117 . 133.0. Seasonal variation was evident, total dissrlvxf solids decreasing markedly following Formation of ice cover in December and increasing rapidly Following dis- appearance of ice cover in the spring (Fig. 11). Values For non-volatile solids in lake water during the same 12-month period ranged From 231.6 to 43.5 mg./l. A narked seasonal periodicity was apparent. fiaximum values :3. For non—volatile dissolved solids occurred in the Fall and 420 early winter and minimum values occurred in late winter and early spring (Fig. 11). Only in January, September, and October did non-volatile percentage oF total dissolved solids depart markedly From a mean value oF about 45 per cent. In January, values reached 59.2 per cent and in 9 l [.4 September and October non-volatile percentage 0 tota dissolved solids dropped to 32.0 and 19.8 per cent respec- tively (Fig. 13). In interstitial water, total dissolved solids ranged From 324.4 to 1194.0 ng./l. (Fig. 12). Only in September and October did the amount oF total dissolved solids in lake water exceed the amount in interstitial water. Values For non-volatile dissolved solids in inter— stitial mater ranged From 302.4 to 120.3 mg./l. Percent— age values oF non-volatile dissolved solids with respect to total dissolved solids were relatively somewhat less then those in the lake during the same collection periods, the value Fluctuating semewhat irregularly around a mean 0F 40 per cent. There were no clear monthly correlations oF total dissolved solids between lake and interstitial waters and none For nonovolatile solids (Fig. 13). Durino the seven-month period when interstitial mater could he withdrawn From the beach, the mean value For non—volatile dissolved solids in lake water was only 57.3 per cent thnt in interstitial meter. Total hardness in lake water ranged From a high OF 158.0 to 2 low oF 60.r ppm. Evidence oF seasonal 421 variation was indicated in the early spring increase oF total hardness which Followed the winter low and preceded that oF early summer (Fig. 14). with reFerence to cation contributors to total hardness, calcium hardness ranged From 90.0 to 34.0 ppm. Figure 14 shows similar seasonal variation in calcium content to that oF total hardness. Only in December and June did the calcium percentage oF cation hardness components comprise less than 50 per cent oF total hardness (Table 14). Since Ferrous iron content in lake water samples throughout the study was negligible in amount, it would appear magnesium ions were signiFicant contributors to total hardness oF the waters oF leach A1. to Carbonate hardness in lake water ranged From 136.0 24.0 ppm. Figure 14 indicates somewhat parallel trends in seasonal variations For carbonate hardness and those oF calcium and total hardness. In interstitial water, monthly values For total hardness ranged From 333.0 to 92.0 ppm. (see Figure 10). Calcium hardness during the same period ranged From 24C.u to 03.0 ppm. ReFerence to Figure 15 reveals closely parallel Fluctuations in calcium content and those oF total and calcium hardness. There was relatively little similarity to comparable hardness Fluctuations in lake water (see also Table 14). Magnesium ions were apparent— ly oF considerable importance in the cation component oF total hardness oF interstitial water. Values For carbon- ate hardness in interstitial water ranged From 338.0 to 422 98.0 ppm. No correlation oF interstitial water variations in carbonate hardness was apparent with those oF the water 0F Reach A1. During those months in which interstitial water could be drawn up From the beach, mean total hardness in the water oF Reach A1 was 111.4 ppm. In interstitial water mean total hardness was 209.1. In the same period, mean calcium hardness in the lake was 62.9 ppm., but in interstitial water it was 122.0 ppm. Mean values For carbonate and non-carbonate hardness during the same period were 86.3 and 32.9 ppm. respectively in lake water. In interstitial, comparable values were 193.1 and 16.0 ppm. respectively. Alkalinity in both interstitial water and that oF Reach A1 throughout the study was that contributed by carbonates and bicerbonates, no hydroxide alkalinity being present at any collection date. Total alkalinity in the water oF Reach A1 ranged From 136.0 ppm. to 24.0 ppm. During the 12—month collection period, alkalinity in water oF Reach A1 was essentially that contributed by bicar- bonate ions (Fig. 16). Only in Way to July collections did carbonate ions contribute appreciably to total alka- linity. During the seven—month period when interstitial water could be drawn up From the beach transect, mean total alkalinity, bicarbonate alkalinity, and bicarbonate alkalinity in the water oF Reach A1 were in ppm. respec- tively 86.0, 68.6, and 17.7. £23 Total alkalinity oF interstitial water ranged From 470.0 to 108.0 ppm. with a seven-month mean oF 210.0 ppm. Carbonate alkalinity was observed only in the April 6 interstitial water collection and then only 3.0 ppm. in magnitude. During the same collection period, mean value For bicarbonate determinations in ppm. was 209.6. No correlations in Fluctuations in alkalinity data were ap- parent between waters oF Reach A1 and beach interstitial water (see Figures 16 and 17). Total Ferrous and Ferric iron in water collected From Reach A1 during the 12-month study ranged From 0.140 to 0.001 ppm. mean content in lake water during the seven- month period when samples were also being collected From the beach was 0.014 ppm. Figure 18 indicates a pre— cipitous decrease in the amount 0F total dissolved or suspended iron throughout the winter until the disap- pearance oF ice cover prior to the April collection. A spring pulse oF total iron content was Followed by a secondary summer low and partial Fall recovery. A some- what similar pattern oF monthly Fluctuations in iron con- tent was observed in interstitial water (Fig. 18). Values 0F total iron content in interstitial water ranged From 0.260 to 0.001 ppm. Mean total iron content in inter- stitial water was 0.070 ppm. Dissolved sulFates reported as ppm. in lake water ranged From 32.0 to 15.0. In interstitial water, dis~ solved sulFates reported as ppm. ranged From 45.0 to 3.0. 424 No seasonal trends in sulFate content were observed in either interstitial or lake water (Fig. 19). Mean sul- Fate value in interstitial water was 25.3 ppm. Lake water samples taken during the seven-month period oF interstitial water sampling yielded a mean sulFate content oF 24.4 ppm. The abundance oF dissolved silica was irregular in lake water during the 12-month sampling period. Values ranged From 3.10 to 0.25 ppm. (Fig. 20). In April to October collections, silica values in interstitial water ranged From 13.10 to 2.00 ppm. with a seven-month mean oF 5.63 ppm. In the same seven-month period, the mean silica value oF lake water was 1.60 ppm. Figure 20 indicates a somewhat related pattern oF monthly Fluctuations in silica content in interstitial and lake water. Orthophosphate content reported as ppm. ranged From 1.05 to 9.42 during the 12 months oF analysis oF water From Reach A1. A range oF 1.00 to 0.13 ppm. was reported in the April-October interstitial water collec- tions with a seven—month mean nF 9.46 ppm. The mean lake orthophosphate content during the same seven—month period was 0.67 ppm., and as noted previously (pg. 100) this mean was Far in excess oF the 0.903 ppm. mean value For soluble phosphorous reported in a study oF 479 Uisconsin lakes by Juday and Birge (1931). A somewhat similar pat- tern oF monthly Fluctuations in phosphorous content was exhibited in interstitial water and that 0F Reach A1 (see Figure 21). 425 Values For nitrate nitrOQen in interstitial water ranged From 9.226 to 0.032 ppm. with a seven-month mean oF 0.109 ppm. A seven-month mean 0F 0.025 ppm. was reported For nitrite nitrogen in interstitial water. The range in nitrite nitrogen during this period was From 0.000 to 0.007 ppm. Figure 23 indicates relative monthly Fluctuations 0F nitrate and nitrite content in interstitial water were quite similar. To a somewhat lesser extent, relative monthly Fluctuations 0F nitrate and nitrite nitrogen con— tent in water 0F Reach A1 were also similar (Fig. 22). Comparison oF Figures 22 and 23 indicates similar patterns 0F monthly nitrogen content Fluctuations in lake and interstitial water. The 12~month range oF nitrate nitrogen n Reach A was 0.115 to 0.020 o3m. and that oF nitrite 1 l l 1.1. nitrogen was 0.015 to 0.000 ppm. The mean values For nitrate and nitrite nitrogen in Rea h A1 during the tions were also being seven-month period when determine tade oF interstitial water chemistry were respectively 9.062 and 0.004 ppm. mean values For total and bicarbonate alkalinity, calcium hardness, carbonate hardness, total hardness, dissolved carbon dioxide, nitrate and nitrite nitrogen, total iron, sulFates, and silicates were appreciably high— er than those reported From Reach A1. 0nly mean values For carbonate alkalinity, non—carbonate hardness, dissolved and percent saturation, and orthophosphate \ . oxygen in pom. were higher in the waters oF Reach A1 than in interstitial 426 water. Similar patterns in monthly Fluctuations in abun- dance oF silicates, orthophosphates, total iron, and nitrate and nitrite nitrogen were observed in interstitial water and water 0F Reach A1. Davis (1954) has stated that the vast accumula~ tion 0F data collected From pond and lake studies has sug- gested the abandonment oF attempts to explain seasonal plankton Fluctuations on the basis oF any one controlling Factor. Nelch (1952), too, has concluded that it is pro- bably impossible to use any single chemical or physical Factor to explain plankton seasonal periodicity, the Fluctuations probably being the result oF interaction oF the Factors involved in various combinations and in- tensities. In this, Tyron and Jackson (1952) concur. Pennak (1950) stated in a review oF numerous investiga- tions oF the psammolittoral zone that sand population variations with respect to physical or chemical Factors appear to be as insoluble as sporadic plankton varia— tions in small ponds. Inasmuch as the physicochemical data presented in this study are the result 0F, at most, 12 monthly collections, it seems Fruitless to attempt to make ex— tensive correlations between these physicochemical Factors and qualitative and/or quantitative Fluctuations in the phytoplankton oF the waters oF Reach A1 (see, however, pages 128 through 134 For comparisons oF Fluctuations in phytoplankton abundance and chemical Factors determined 42? upon water of Reach A1 during the 12-month study period). There were few apparent correlations observable in phyto- plankton qualitative and/or quantitative Fluctuations with respect to chemical conditions in the water of Reach A1. There were, however, apparent correlations in phytoplankton quantitative abundance and relative amounts of silicates, orthophosphates, and nitrite and nitrate nitrogen. Inverse relationships were observable between phytoplankton abundance and both orthophosphate and ni- trogen abundance. In both instances, quantities of orthophosphate and nitrogen tended to be lowest during those periods when phytoplankton abundance was greatest. Prescott (1962) has noted that phytoplankton maxima are. typically concomitant with minima of phosphorous and nitrogen content. It has been concluded that this rela- tionship indicates the rapid utilization of these nutrients as plant mass increases. Silicates, on the other hand, in quantity tended to be at minimum at periods of low phytoplankton abun- dance and at maxima during phytoplankton pulses. Rela- tionships between silica content and phytoplankton abun- dance are not as clearly defined as those For phosphorous and nitrogen. The literature of algal-silicon relation- ships reviewed by Round (1965), however, suggests that chrysophyte maxima are usually associated with peaks in Silica content within the Freshwater environment. Silica depletion, 0.5 mg./l. or less, usually results in rapid , bill. 428 decrease in abundance of chrysophytes, particularly diatoms. It has been demonstrated that the chemistry of beach interstitial water collected with an aspirator in the hygropsammon zone is not necessarily that of the photic zone inhabited by the psammon flora. Consequent- ly, no efforts were made to correlate fluctuations in qualitative and/or quantitative abundance of the algae of the Reach A1 beach transect with concomitant fluctua- tions in the chemistry of the interstitial water. It can only be hoped that data presented in this disserta- tion can in time be included in the mass of information needed to make meaningful generalizations with regard to the ecology of the psammon algae. Lake phytoplankton Inasmuch as the study of the phytoplankton of Reach A1 was undertaken as an adjunct investigation pri- marily to identify its relationship to the algae of the adjacent beach transect, it is not the intent here to discuss in length the fluctuations in qualitative and quantitative phytoplankton abundance (for detailed data and observations relative to qualitative and quantita- tive sampling of the phytoplankton, see tables 15 through 18, figures 25 and 26, and pages 110 to 156). The litera— ture contains reports of far more extensive and intensive studies of the ecology of lake and/or pond phytoplankton 429 than the 12-month study upon Reach A1 (for example, Chandler, 1940a, 1940b, 1942; Birge and Juday, 1922; Davis, 1954; Griffith, 1955; Prescott, 1962; Spencer, 1950; Round, 1965). Aside from the rather high phosphorus content in the water of Reach A1 during the 12-month study, the somewhat lesser contribution of diatoms to total quantitative counts, and the quantitative domin- ance of the plankton flora of Dinobryon spp. in the February—May and September-October periods, the overall character of Reach A1 did not differ markedly from des- criptions of similar lakes reported upon in the litera- ture. During the 12-months of qualitative and quanti-. tative sampling of the phytoplankton of Reach A1, 187 species of algae were identified. Of these, 42 were assigned to the Cyanophyta, 51 to the Chlorophyta, 7 to the Pyrrhophyta, and 87 to the Chrysophyta (see Table 36). Qualitative collections were dominated by members of the Chrysophyta in all months but January and June. In January, members of the Cyanophyta were qualitatively dominant, and in June members of the Chlorophyta dominat- ed the qualitative plankton flora. Comparison of Table 10 (lake water chemical data) with the lake chemical classification criteria presented by Prescott (1962) suggests that Reach A1 might best be described as a hard water drainage lake. Such lakes are described by Prescott as stream fed and provided with an 43D outlet at least part of the year. In general they are characterized by pH ranges of 7.2 to 9.4 and typically contain more than 14 ppm. carbonates. These lakes, according to Prescott, are further characterized by a predominantly cyanophyte-diatom flora and frequently harbor luxuriant growths of Ehgra. Prescott reports that if green algae do become abundant in the "typical" hard water lake, they are most abundant in the summer months. Although the qualitative structure of the Reach A1 phytoplankton has been previously discussed (pages 110, 124-127, 293, 302, 314—315), it may here be briefly noted that from November through April, chrysophytes (particularly the Pennales) and cyanophytes collectively contributed 78 per cent or more of the total species monthly. In February, 98 per cent of the phytoplankton species in Reach A1 were chrysophytes or cyanophytes. For the remainder of the 12-month collection period, chrysophytes and cyanophytes collectively contributed at most 69 per cent and at the least 58 per cent of the total phytoplankton species present in monthly samples. In general, greatest species diversity in the phytoplankton was exhibited in the fall, spring, and summer, and least species diversity was exhibited in those few months when the lake was subjected to uninter~ rupted ice cover. 431 Quantitatively, Reach A1 was dominated by cyanophytes and chrysophytes in all months but June. A clear seasonal progression in quantitative dominance of lake phytoplankton appeared during the study. Members of the Cyanophyta dominated quantitative samples from November through January and in July and August. Members of the Chrysophyta numerically dominated quantitative samples in February through May and again in September and October. The February-May and September-October dominance was attributable essentially to large numbers of Dinobryon spp., Q. divergens in September, for in- stance, contributing 74.9 per cent of the total phyto- plankton count. The phytoplankton of Reach A1 was essentially quantitatively dominated by members of the Chroococcales, Hormogonales, and particularly by the Chrysomonadales. Although not appearing in the data, the gigantic biomass of Chara established for most of the year upon the sandy bottom of Reach A1 assuredly influenced the qualitative and quantitative expression of the phytoplankton. welch (1951) has noted that in temperate lakes the total annual production often takes the form of a bimodal curve presenting two maxima, one in the spring and one in the autumn, and two minima, one during the summer and the other during the winter. He further states that in the northern United States the spring maxima usually occur in April to May followed by summer minima 432 in August. The autumn maximum generally occurs in late September to October, and the winter minimum from February to March. Reference to Figure 25 reveals that general pat- terns of fluctuation in phytoplankton quantitative abun- dance in Reach A1 closely approximated the plankton pro- duction patterns outlined above by Nelch. welch, however, has stated that the spring maximum commonly exceeds the autumn maximum, and the winter minimum usually is some- what "smaller" than the summer minimum. Figure 25 indi~ cates that although patterns of quantitative minima in Reach A1 are similar to the generalizations made by welch, the autumn September-October maximum was considerably greater than to be expected. Two possible explanations are apparent for the Reach A1 anomaly of a greater autumn maximum than that of April. One is that by definition, if not entirely in fact (see pages 129-132), the phytoplankton data reported in this study are of net plankton and by definition, if not in fact, must be considered to exclude the contribu- tions of nannoplankton. Welch (£22. £52.) has stated that net plankton data alone exhibit only a mere hint of spring maxima, the autumn maximum being the only one indicated in well-defined form. The second possibility for the larger autumn maximum with respect to that of spring is the declining water level in Reach A1 from June to October. This 433 concentration of water and its dissolved solutes in the isolated basin of Reach A1 may possibly be the explana- tion for the fact that values for hardness, alkalinity, silicates, orthophosphates, and nitrates and nitrites were as great or greater than those reported current dur- ing the May maximum. Psammon algae: Qualitative aspects In contrast to the extensive literature relative to the ecology of soil and aquatic algae, the literature of investigations of the psammolittoral is minuscule and that relative to the algal component of the psammon is limited in the extreme. Pearse _t al. in 1942 noted that although algae. in the marine beach are only rarely numerous or concen- trated enough to be visible to the unaided eye, they are probably much more significant in the economy of the beach than previously supposed. In generalizing with reference to psammon algae they stated that the algal psammonflora is composed predOminantly of members of the Bacillariophyceae and, to a much lesser extent, the Chlorophyta, Pyrrhophyta, and Cyanophyta. Most are found, they stated, as individuals rather than as colonial forms and often lack sheaths. Most are very small, i.e. usually from three to ten microns in greatest dimension. The green algae of the psammon, they generalized, are usually non-colonial, coccoid forms, and the blue-green algae 434 are in general single, non-colonial forms lacking sheaths. It has been previously noted in this discussion that Sassuchin at al. (1927) recognized four vertical strata or zones in the eupsammon and hygropsammon, the "green horizon” being the first subsurface stratum. The character of this green horizon they described as being determined by the large numbers of algae, particularly diatoms, therein. These investigators listed approxi- mately 95 algal taxa present in their collections from the hygro- and eupsammon zones. Although they presented their data in semi-quantitative form, the subjective nature of their quantitative categories suggests the data should be best considered qualitative. Of the taxa listed, 18 were assigned to the Cyanophyta, 27 to the Bacillariophyceae, 10 were autotrophic flagellates, and 40 were classified as members of the Chlorophyta. Twenty- one algal species listed by Sassuchin at al. were also present in the substrate of the Reach A1 transect at one or more collection periods during the 12-month study. Pennak (1939) has generalized that the most common algae in the psammolittoral are members of the Cyanophyceae, Chlorophyceae, and Bacillariophyceae. In the beaches of soft-water lakes, he stated, desmids are abundant, and in hard-water lakes great concentrations Of diatoms are common as far back as 250 cm. from the edge of the water. 435 Ruttner-Kolisko (1953, 1954) has also noted that algae, particularly diatoms, are important contributors to the psammon. Although she included numerous tables relative to quantitative abundance of psammon algae in her reports of investigations of a number of Scandanavian freshwater beaches, it is not entirely clear how she has assembled her data. Thus, it is perhaps best to consider it from a qualitative aspect in this discussion. Ruttner-Kolisko's data relative to quantitative aspects of psammon algal abundance along a number of transects investigated are grouped into applicable cate- gories of diatOms, flagellates, blue—green algae, and green algae. Although her tables indicate the obviously dominant position of diatoms in quantitative counts, there are apparently no consistent patterns in distri- bution in hydro-, hygro-, and eupsammon zones for any of the four algal classification categories listed in her tables. Unfortunately, she has included in her re— ports the scientific names of but five taxa, those which apparently were most abundant in collections from the transects investigated. These include Tabellaria fenestrata, Navicula mutica, Ceratoneis arcus, meridion circulars, and Diatoma hiemale. Janika (1954), in a brief report relative to the study of a lotic psammolittoral environment, noted that of BO algal species present in the psammon the great majority were diatoms. Also present, but rare, were 436 flagellates, conjugates, and cyanophytes. The species Pinnularia borealis and Navicula gothlandica she noted to be especially common. Neel (1948) has published what is to date apparent- ly the most extensive presentation of data relative to the algal component of the psammon flora in the litera- ture of psammolittoral investigations (see page 396 for an evaluation of quantitative data presented by Neel). Neel lists 14 species assigned to the Chroococcales, eight assigned to the Hormogonales, one species placed in the Heterococcales, five representatives of the Centrales, 115 species of Pennales, three members of the Volvocales, one species assigned to the Oedogoniales, 13 species of Chlorococcales, 16 members of the Zygnematales, and three species of dinoflagellates. These species were present in the substrate of at least one of six transects studied. Neel (lgg. git.) concluded that diatoms out- numbered all other groups of psammon organisms, and be- cause of their abundance were a major component of the psammon of the lake studied. Next in abundance, Neel stated, were cyanophytes, particularly representatives of the Chroococcales. Members of the Hormogonales he found present but too few in number to warrant their in— clusion in tables. Species belonging to the genera Chroococcus, Microcystis, Aphanocapsa, Gomphosgheria, Coelosphaerium, and flerismogedia he found to be common 437 in both the lake and psammolittoral. Green algae, he stated, were far less common in the psammon than cyanophytes or chrysophytes. It should be noted that of the 173 species of algae reported by Neel as present in the psammolittoral of six transects and of the 179 algal species found in the beach of the Reach A1 transect during the 12~month study, only 30 species were shared in common in the two investigations. Two species were members of the Chroococcales, six of the Chlorococcales, one of the Zygnematales, and the remaining 21 of the SO species shared in common were members of the Pennales. Also noteworthy is the fact that 26 of the 30 psammon species shared in common were in the Reach A1 study of minor quantitative importance. Only the species Navicula radiosa var. tenella, fl. gupula var. ca itata, Cymbella microcephala, and Rhogalodia ibba, shared in common in both studies, were of relative numerical importance in the Reach A1 transect. The qualitative structure of the Reach A1 beach transect psammon algae community during the 12-month study has been discussed in considerable detail on pages 262-301 (see also pages 149-160, 171-185, 199-213, and 229-242 for data and observations relative to qualitative psammon samples taken each month at the 300, 200, 100, and 25 cm. transect intervals respectively). Further discussion and interpretation of the qualitative data at 438 this point is perhaps an exercise in redundancy. At the risk of introducing serious inaccuracies in an attempt to generalize upon a relatively large mass of highly variable data by other than statistical means, certain generali- zations may be made with respect to characterization of the Reach A1 beach transect on a qualitative basis. Qualitatively, and on a 12-month overall basis, the psammon algal flora of the Reach A1 beach transect was essentially one comprised of members of the Hormogonales and Pennales. At each of the transect in- tervals, species assigned to these two orders contri- buted 57 per cent or more of the total species count recorded at that interVal during the 12-month study. The dominance of the qualitative flora by cyanophytes and chrysophytes is made even more prOnounced if it is noted that species assigned to the divisions Cyanophyta and Chrysophyta together contributed from 69 to 84 per cent of the total species recorded at the separate beach in- tervals during the entire 12-month study period, an aver- age contribution of 78 per cent of the species present I in the beach transect as a whole. Considered on the basis of their contribution to the 179 algal species found present in the beach transect during the 12-month Reach A1 transect study, members of the Cyanophyta comprised 34 per cent and members of the l Chrysophyta comprised 40 per cent, a total of 76 per J cent of the total species list. The Hormogonales, with raw-way, A, a, 3 PR. 439 25 per cent, and the Pennales, with 35 per cent, together contributed 60 per cent of the total species list con- structed from samples taken at the 25, 100, ZOO, and 300 cm. intervals of the Reach A1 beach transect during the 12-month study. Members of the Chlorophyta comprised but 23 per cent of the 179 algal species reported from the Reach A1 beach transect. The green algal orders Chlorococcales and Zygnematales together contributed 19 per cent of the total species list, members of the Chlorococcales alone comprising 15 per cent of the 12—month list. Examination of tables 20, 24, 28, 32, and 38 does not indicate any conspicuous exception on a month by month basis to the generalization that the qualita- tive psammolittoral algal flora of the Reach A1 beach transect was essentially one dominated by filamentous blue—green algae and diatoms. with respect to the quali- tative algal flora at each of the four transect inter- vals, each also was dominated throughout the 12-month sampling period by members of the Hormogonales and Pennales. It should be noted that members of the Chlorophyta in any one month at any one beach interval never exceeded 24 per cent of the total species present at that interval that month. As a generalization, with- in the green-algal component of the qualitative algal flora at each transect interval sampled, members of the Chlorococcales tended to be more common than members 440 of the Zygnematales except at the 25 cm. interval. 3e— yond the 25 cm. interval, coccoid green algae were quali~ tatively more abundant than desmids. If the criterion of presence throughout the 12— month sampling period at each of the four beach transect intervals be considered, then the qualitatively character- istic algae of the Reach A1 beach transect were Cymbella microce hala, Navicula decussis, H. heufleri var. legtocephala, fl. radiosa var. tenella, and Rhopalodia q'bba. Also more or less ubiquitous throughout the beach during the 12-month sampling period in that they were absent at most two months from at most two beach inter- vals were §ygyzdl-_ggcus huqi;~la, and Eymbella a ...-.— worthy that of the eight species which might be con— sidered qualitatively characteristic of the Reach A1 beach transect, six are diatoms and not one is a member of the Hormogonales. Also of note is the fact that at least four of the eight (éyggchococcus aeruginosus, Chlorococcqm humicola, Nayicula heufleri var. lsotoceohglg, and Cymbella microgeghala)are described in the literature as being commonly found in soil (Deskikachary, 1951; Lund, 1945, 1946). Psammon algae: quantitative aspects Probably one of the greatest problems encountered in the study of the algae of the psammolittoral environment 441 is that of obtaining an accurate measure of the quanti- tative abundance of the algae per unit volume or unit weight of the substrate. Although the psammolittoral zone has been referred to frequently in the literature as a unique, highly eutrophic aquatic environment, the psammolittoral differs from the aquatic environment in one very major respect: the water has a great deal of sand in it. Perhaps the thought has arisen in the mind of every investigator of the psammolittoral zone that, rather than the environment being considered aquatic with a great deal of sand in it, could it not also be con— sidered a sandy terrestrial environment with -- at times -- a great deal of water in it? Should not, perhaps, the hydropsammon zone be considered a benthic environment harboring an epipelic (motile) or epfimammic (attached) algal community and the hygro- and eupsammon zones be considered terrestrial or aerial epilithic environments? For a description of an epknammic algal community, see Round (1965b). The fact that the psammolittoral environment has been studied by taxonomically—oriented limnologists or limnologically—oriented taxonomists to the almost com— plete exclusion of biologists conversant with other aspects of ecology may be partially responsible for the almost absolute absence of any meaningful quantitative data relative to the algal component of the psammon. In order to obtain a measure of the quantitative abundance 442 of the algae within the psammolittoral environment it becomes necessary to turn to techniques utilized by in— vestigators of algae of the soil. Considerable controversy exists in the literature with respect to accuracy of direct counts of soil samples, involving examination of the original sample or a diluted aliquot thereof, in contrast to indirect counts, which involve culturing prior to examination of the original sample or a diluted, cultured aliquot (Forest, 1962; Tchan and Hhitehouse, 1953; Round, 1965a; Lund, 1945). Insofar as can be determined in a review of the methods utilized in quantitative study of the algal component of the psammon, all investigators apparently have used tech- niques involving separation of the algae from the sand through repeated stirring and decanting of a sand sample of given volume or weight. None seemingly have made direct counts upon portions of the substrate sand itself. The decantation techniques must be considered "direct” in that culturing is not ordinarily involved, counts being made of organisms present in the wash water and results extrapolated to the original volume or weight of the sample. Forest (£92. git.) has reviewed in length the literature relative to quantitative analysis of the soil algal community and has conducted a detailed study of the relative accuracy of the direct examination technique in comparison to various indirect culture techniques. In 443 the direct count technique utilized by Forest, the counts involved averages from a total of three examinations inas- much as it was discovered that a total of three readings was sufficient to give similar results in a series of determinations. Forest concluded that direct examination misses a considerable portion of the flora and that what actually is gained from direct examination is not the number of algae per unit sample volume but rather an in— dication of the relative abundance of the most abundant species. Forest further concluded that the moist plate culture method (essentially the addition of sterile water to a Petri plate containing the soil sample which is then exposed to light for two weeks prior to counting) gave the most satisfactory results. It should be noted, however, that his data from moist plate cultures were reported as plate-frequency, i.e. whether a given alga is present or absent On a given plate. Since plate—frequency is a relative index, it cannot be stated in numbers of algae per sample volume. One cannot but wonder if the culturing of an initially dry soil presumably containing spores, cysts, and other survival units as well as vegetative cells presents an accurate picture of the soil flora at the time of col- lection. Tchan and fihitehouse (£92. git.), on the other hand, reported that culture techniques as opposed to direct counts of soil algae ordinarily produced results 444 25 to 40 per cent less than direct counts. when culture techniques did, rarely, give higher counts than did the direct method, the difference was only on the order of 12 per cent or less. Tchan and whitehouse also reported that when moisture content of dry soil is increased, the number of soil algae per unit volume or weight of dry soil may double within two hours or less. They found five-fold variations in the number of algae per gram of soil during 24-hour periods which they attributed to fluctuations in water content through day evaporation and night condensation. If relatively minor variation in moisture content within the soil may induce the rapid fluctuations in algal abundance described by Tchan and whitehouse, it would appear that any quantitative figures resulting from the direct count techniques must be considered as reflective of relative densities within the soil at the time of collection rather than an absolute measure of algal abundance. Pennak (1950) has reported that algal populations in the freshwater beach commonly reach concentrations of 10,000 to 50,000 cells per cc. of sand and may occasional- ly reach concentrations as high as 325,000 cells per cc. He states also that in quantitative counts of psammon algae almost invariably 95 per cent or more are diatoms. Alth0ugh Heel (1948) made few generalizations with regard to quantitative distribution of algae in six 445 freshwater beach transects studied, his data show values for total algal individuals per cc. of sand ranging from zero to 325,900. In most instances, at any given inter- val on any given transect, the vast majority of algal units enumerated are diatoms. His tables indicate no conspicuous general tendencies for any taxon to exhibit pronounced "preference" for a particular position along any given transect. deber (1963) has included data relative to quan- titative determinations of algal abundance in a report of a study of the psammon fauna of a freshwater lake. He lists 15 genera of green algae, seven of blue—green algae, and one member of the Euglenophyta. Members of the Chrysophyta were not enumerated to genus. weber noted that counts of diatoms were extremely high when the total number of frustules per cc. were considered, but the counts became greatly reduced when only frustules with chloroplasts were included (see Lund, 1945, for a discussion of the problems involved in taxonomic and ecologic study of soil diatoms). deber concluded that generalizations in the literature relative to the abun- dance of diatoms in respect to the other algal groups are suspect inasmuch as previous investigators had not indicated whether or not only living cells were included in their counts. Blum (1956) has concluded that shifts in the ”climax communities” of lotic algal communities may occur 446 in a matter of days or even hours. He states that the length of time needed for such a change in the community structure is not dependent upon the life spans of the dominant algae but rather upon the length of time it takes the new dominants to establish themselves among their predecessors. It is possible, Blum states, that the establishment of a complex algal community and the rapid succession to a climax can be within a period of time characterized by diurnal changes. Thus, the investigator of psammolittoral algae must recognize that any quantitative data gathered are suspect from the outset. Neither direct nor indirect counting methods are entirely satisfactory in determina- tion of the absolute composition and magnitude of the flora at the time of collection. The separation of the algae from the sandy matrix undoubtedly leads to frag- mentation and dispersal of multicellular forms, and un- doubtedly some individuals are lost despite the utmost care in separation of water and sand. It is frequently difficult to determine if a diatom frustule or desmid semi—cell was alive at the time of collection. And the investigator apparently is dealing with a highly ephemeral biota which may undergo major change in relative compo— sition and total magnitude within a matter of hours. The quantitative structure of the Reach A1 beach transect algal community during the 12~mcnth study has been discussed in considerable detail on pages 299-315 '3», ,4 ; {4‘5“ 447 (see also pages 159-171, 184—199, 212-229, and 244-262 for data and detailed relevant observations derived from quantitative psammon samples taken each month at the 300, 200, 100, and 25 cm. transect intervals respectively). Thus, only very broad generalizations are presented at this point in the discussion. It is even more difficult to generalize about the quantitative aspects than it was to generalize upon the qualitative characterization of the algal component of the Reach A1 beach transect psammon. It is apparent, however, that certain generalizations made in the litera- ture with respect to psammon algae were not entirely substantiated during the Reach A1 beach transect study. The psammolittoral has been repeatedly character- ized in the literature as dominated by diatoms. ‘ Four beach intervals were each sampled once a menth for twelve months giving a total of 48 quantita— tive sample units investigated during the Reach A1 beach transect study. In only 16 instances did the number of diatoms present in a sample unit exceed the number of individuals assigned to the Hormogonales, and in only 13 instances did the number of individuals assigned to the Pennales contribute more than 50 per cent of the total algal individuals present per cc. of sand of that sample unit. The maximum contribution of the Pennales to the total count of algae present in quantitative samples at any interVal during the 12—m0nth sampling period was 448 the 70.84 per cent recorded at the 25 cm. interval on May 6. 0n the other hand, in 32 instances the number of individual members of the Hormogonales exceeded the num- ber of diatoms in a sample unit, and in 20 instances members of the Hormogonales alone contributed more than 50 per cent of the algal individuals present in a sample unit. In 44 of the 48 sample units, members of the Hormogonales and Pennales together contributed more than 50 per cent of the total number of algal individuals present. The four exceptions to the complete dominance by filamentous blue—green algae and diatoms of the quan- titative algal flora present in the sample units described occurred in May, July, August, and September at the 300 cm. interval and may be attributed to the appearance of relatively large numbers of Botrydiopsis arhiza, Chlorococcum humicola, and Synefiococcus aeruginosus at those times. 0nly at the 300 cm. interval in key and July through September did coccoid forms (Chroococcales, Chlorococcales, and Heterococcales) collectively exceed 50 per cent of the algal individuals present in a sample unit. It should be noted, however, that in 23 of 48 sample units diatoms alone, or ceccoid algae alone, or diatoms and coccoid algae together contributed at least 50 per cent of the total number of algal individuals pre— sent. iv“; » 449 The psammon Flora oF the Reach A1 transect as a whole could be characterized at any month oF the year as quantitatively basically dominated by Filamentous blue- green algae and diatoms. It would appear, however, that insuFFicient data have been presented in the literature and in this report relative to the quantitative character- ization oF the algae oF the psammolittoral to justiFy a brOad generalization as to the quantitative nature oF the algal component oF the psammon biota in any Fresh— water beach. It is evident that generalizations relative to characterization 0F the quantitative structure of the algal community oF the psammolittoral must include the diFFerentials in expression oF the community exhibited in the hygro- and eupsammon zones. It has been previous— ly noted (pg. 315) that the Hormogonales exhibited a clear quantitative dominance oF the algal community at the 300 cm. interval except For the Hay-September period when the Heterococcales and Pennales established a tran— sitory dominance (see Table 22). And at the 200 cm. interval, members oF the Hormogonales maintained a clear quantitative dominance throughout the year (see Table 26). In the sand at the 100 and 25 cm. beach transect inter- vals, however, distinct seasonal Fluctuations in relative dominance oF the algal community were apparent. At the 100 cm. interval, Filamentous blue-green algae dominated quantitative samples From November to February and in 450 August. The diatoms were most abundant march to July and September to October (see Table 30). Conversely, at the 25 cm. interval, diatoms were relatively most abundant November to March, in June, and again in September and October. Filamentous cyanophytes were at the 25 cm. in- terval most abundant in April and May and in July and August (Table 34). Perhaps one 0F the best illustrations oF the heterogeneity oF the quantitative character oF the algae present in the Reach A1 beach transect is the Fact that oF the 179 species 0F algae encountered during the 12— month study, only six species -- Gleeothece rupestris, fiyneehococcus aeruginosus, Chlorococcqm humicola, Navicula decussis, N. heuFleri var. leptocephala and fl. radiosa var. tenella -- were present at least six months 0F the twelve in quantitative samples taken at each in- terval. There is no evidence that the trends in dominance exhibited by the algal taxa in the Reach A1 transect are exhibited in other Freshwater beaches. weber (1953) in a report relative to the ecology eF the micreFauna oF several psammolittoral zone transects noted that the algae as a group exhibited no consistent population Fluctua— tions or patterns. Members oF the Cyanophyta, he stated, were most abundant in October and may and at lowest num- bars in April, June, July, and December. No samples were taken during the January—march period. He Found the 451 Chlorophyta to be at lowest population density in December and April and to be most abundant in May through June. It is not entirely clear whether he is reFerring to all the transects he investigated during a year-long study inasmuch as his collections apparently were alternated between transects in diFFerent months. So Far as can be determined, only Baklanovskaya (1963) has traced the monthly quantitative variation in psammon algae through the course oF one entire year. His data are not available For comparison, but he has noted that the seasonal dynamics oF the algae within the psammo— littoral zone he investigated reFlected the seasonal changes in the phytoplankton eF the adjacent reservoir. It has been previously noted, however, that in the Reach A1 beach transect investigation there was a more or less inverse relationship in quantitative algal abundance evidenced between the adjacent lake and each beach tran— sect interval. The Further From the lake, the more pro- nounced this inverse relationship became (see pages 303- 305 and 369-370 For a summary description oF the character eF Fluctuations in quantitative algal abundance in the beach substrate, and see also pages 402-406 For a possible explanation For the pattern oF this Fluctuation). Obviously, much more work must be done beFore generali- zations may be proposed For the seasonal Fluctuations in algal abundance in the psammolittoral zone. 452 Indices oF diversity oF lake and beach transect intervals In recognition 0F the Fact oF the somewhat sub- jective nature oF even the most careFully gathered quan— titative data relevant to the algal component oF the Reach A1 beach transect psammon, indices oF diversity were utilized in an attempt to identiFy evidence eF physical or chemical Factor relationship to the algal community (see pages 315 to 345 For discussion 0F the utilization oF the index 0F diversity in community ecology and in the Reach A1 beach transect study). The literature does not indicate that heretoFore use oF index oF diversity has been made in psammolittoral studies. The ratio between the number oF species and the number oF individuals present in a community or sample thereeF is termed the index oF diversity eF that com- munity. The usage oF index oF diversity in the Reach A1 beach transect study was based on the premise that strong physicochemical limiting Factors or interspeciFic com— petition reduces the diversity within a community. Severe physical or chemical limiting Factors, according to Odum (1959), result in a low diversity index as does a period oF high productivity Followed by competition For space and nutrients. Through utilization oF indices oF diversity and calculation oF standard correlation (r) values, T ‘ T’T‘ 1 1i T ‘ Ti 453 relationships were identiFied between psammon algal com- munity structure at each transect interval and the physical Factors 0F water content in both per cent saturation and wet gross weight basis, sand grain size uniFormity coeF- Ficient, harmonic mean grain size diameters, and percent— age velatile matter. A positive relationship within 95 per cent con- Fidence limits was identiFied between algal community indices oF diversity at each transect interval and water content 0F the substrate on wet gross weight basis (see pages 340—342 and 404—405). Computed r values For har- monic mean sand grain size diameters in relationship to algal community indices oF diversity at each interval and For sand grain size uniFormity coeFFicients in rela— tionship to diversity indices at the same intervals also closely approached, but did not reach, 95 per cent con- Fidence limits (see pages 343, 362, and 363 For Further discussion oF indices oF diversity in relationship to these physical Factors). Ancillary to these results, but perhaps Far more signiFicant in Future investigations oF the psammo- littoral, was the discovery that indices oF diversity For the beach collection sites -- with the exception oF the period oF Frozen substrate and subsequent disruptions thereaFter because eF Fluctuating lake levels -- monthly exhibited a distinctly decreasing gradation From the waters oF Reach A1 to the 300 cm. beach transect interval. 454 With the exceptions noted, each collection site maintained a clearly deFined characteristic index 0F diversity that when plotted against time exhibited patterns 0F Fluctua- tion essentially parallel to those 0F the other transect intervals (again, see pages 319-325 For discussion oF this phenomenon). Several major conclusions can be drawn From the material presented on pages 319 to 325. One is that with respect to the algal Flora the primary limiting Factor in the psammolittoral is apparently water content, all other physicochemical limiting Factors seemingly be- ing subordinate to water content. The second is that utilization oF indices oF diversity may be a very use- Ful process in study oF the ecology oF the psammolittoral environment. Community coeFFicients Inasmuch as the index oF diversity does not lend itselF to quantitative comparison and identiFication oF communities as well as other comparison techniques, com— munity coeFFic'ents were utilized in an attempt to analyze the algal community structure oF the Reach A1 beach transect (see pages 325—3AD For discussion oF the use oF coeFFicient oF community as a technique in quanti— tative community ecology and in the Reach A1 beach tram- sect study). So Far as is known, community coeFFicients .. . ._ J. ,.1 t 1 have not been utilized in the study oF the psammolit ora~ ,_ ,; emanates see, , this {we afimmenmentss Aditfiemal evadeseélifiaee - the decreasing index eF diversity with iaeneaeeag dis- tanee shoreward From waterline. And fiurther amidenee was the Fact that, on the basis oF community coeFFicient determinations, the algal community at the 25 cm. interval was considerably more similar to those at the 100 and 200 cm. intervals than to that in Reach A1. The algal community at each transect interval was more similar to any other given transect interval on the basis oF com- munity coeFFicients than any was to the community in Reach A1. Frequent reFerence has been made also in this discussion to the Fact that many oF the most qualitatively and quantitatively abundant species in the Reach A1 beach have been characterized in the literature as soil algae. It has also been pointed out that eight 0F 23 species listed by Durrell (1962) as characteristic oF the severe environmental conditions in Death Valley were commOn in the Reach A1 beach transect. And Microcoleus vaginatus, W’“ 456 one oF the most quantitatively important algae in the Reach A1 beach transect, has been cited by Durrell and Shields (1961) as one 0F the most important algae in— volved in the Formation oF algal crusts on the moist surFace 0F soils 0F the arid southwestern United States. 0F interest too is the previously cited Fact that 0F 60 algal species listed by Cameron (1964) as characteristic 0F arid soils, almost one-third were also present in samples taken From the Reach A1 beach transect. IF two distinct communities are assumed, it is anticipated that somewhere along the beach an ecotone must exist (see pages 323-325 For discussion oF the ecotone concept and results oF attempts to idsntiFy the ecotone along the beach transect). There is evidence that the algal community at the 25 cm. interval was some- what transitional between lake and beach communities, but there was no indication that the 25 cm. interval could be considered as, or present in, an ecotone. No ecotone could be identiFied at any collecting site along the beach transect nor could evidence be presented that the entire beach From the 308 cm. interval to the shoreline be con~ sidered transitional between two distinct communities, aquatic and terrestrial. The Fact that the algal community at each inter— val on the basis 0F community coeFFicients and the number oF species shared in common was more similar to that interval lakeward than to that landward suggested that 457 there was no transition in evidence From an aquatic to a terrestrial environment along the beach transect. It should be noted that approximately 44 per cent oF the 261 species collected during the Reach A1 transect study were Found both in the lake and in the beach. Also to be considered was the Fact that decreasing indices oF di- versity shoreward along the transect indicated an in- creasingly severe environment with increasing distance landward From waterline. And reFerence to Table 35, in which a summary tabulation is presented For each algal taxon with respect to its quantitative and qualitative contributions at each sampling site in the lake and beach transect, suggested that the algae at the most landward intervals along the transect were basically an expres- sion oF a "survivors" community oF more or less aquatic Forms associated with species adapted to severe terres— trial environmental conditions. That is to say, data presented in Tables 35, 41, 42, and 43 were interpreted to conclude that an increasingly severe environment developing in a shoreward direction along the beach tran— sect induced a gradual attenuation oF a distinct beach algal community, a community essentially characterized as qualitatively and quantitatively cyanophyte-diatom in composition. Listed among the most prominent members 0F the beach algal community were Cloeothece rugestris, Synechococcus aeruginosus, Aulosira laxa, Cylindrospermgm minimum, Lyngbya aerugineo-caerulea, L. aestuarii, L. hieronymusii, microcoleus chthonoplastes, E. vs inatus, Nostoc paludosqm, Botrydiopsis arhiza, Chlorococcum humicola, Phormidiufl angustissimqm, Cymbella microce hala, Navicula decussis, fl. heuFleri var. leptggeghala, fl. radiosa var. tenella, and Rhopalodia gigga. Monthly Fluctuations in quantitative abundance oF the algae in Reach A1 and along the beach transect have been summarized and discussed in some length on pages 301 to 315. It has been noted that total numbers eF individual algae per cc. oF sand sample ranged From 75,955 at the 25 cm. interval on December 8 to 1,369 at the 300 cm. interval on August 6. These Figures may be somewhat meaningless in themselves, but their signiFi- cance may be in that the relative density 0F the 75,955 algae per cc. oF sand at the 25 cm. interval was 114,562 times that oF the phytoplankton per cc. oF lakewater re— ported in December 8 samples, and the 1,369 algae per cc. oF sand at the 300 cm. interval were 233 times as dense as the density oF phytoplankton per cc. 0F lake water reported on August 6 (see Table 49). An environment that is as physically hostile as is apparently the psammolittoral zone with respect to Fluctuations in Factors such as temperature and water content and that can support such an amazingly dense algal growth is surely worthy oF more attention by the ecologist and phycologist. CHAPTER VII SUMMARY This investigation involved a 12—month study oF the ecology oF the psammon algae 0F the psammolittoral zone 0F a Michigan hardwater lake. The investigation was undertaken to ascertain the practicability oF adaptation oF techniques oF soil science and limnology to study an environment that is neither aquatic nor terrestrial, to establish iF there is evidence oF zonation oF algal com- munities in a sandy beach, to establish iF there is evi- dence oF seasonal quantitative and qualitative variation in algal communities within a sandy beach, to attempt correlation oF beach algal zonation and seasonal varia- tion with physicochemical conditions prevailing in the habitat, and to compare the algal Flora oF the psammo- littoral zone with that oF the adjacent lake. During the 12~month study, the opportunity was presented to examine the Fate oF algal populations in the psammolittoral during periods when the substrate was Frozen, to trace modiFication 0F physicochemical conditions within the beach substrate as Falling lake water levels produced a gradual migration oF the water- saturated beach zone, and to note the eFFect oF ice 459 460 erosion upon the substrate and the algal component oF the psammon therein. The transect method 0F community investigation was utilized in study oF the hygro- and eupsammon por- tions oF the psammolittoral zone selected. Each collec- tion date, quantitative and qualitative phytoplankton samples were taken From the lake adjacent to the tran- sect. SurFace lake water samples were also taken oFF- shore From the transect For subsequent chemical examina- tion. Interstitial water was withdrawn From the hygro- psammon zone oF the beach transect From April through October. The Following physicochemical determinations were made upon lake and interstitial water samples: temperature, pH, alkalinity, hardness, dissolved oxygen and carbon dioxide, total and volatile dissolved solids, nitrate and nitrite nitrogen, orthophosphate, total iron, silica, and sulFates. Each month, at each 25 cm. interval shoreward FrOm the November-June waterline to a point 300 cm. in- shore, quantitative and qualitative sand samples were taken From the beach psammolittoral zone. Only algal samples From the 25, 100, ZOO, and 300 cm. intervals were included in this study. In addition, at each 25 cm. interval along the beach transect, monthly determinations were made oF temperature, pH, alkalinity, substrate per- centage water content, ”black layer” position, and total organic content. In July through September, location oF :9'55EJM ‘, 7“, p 461 phreatic levels beneath the substrate was investigated. At each 25 cm. interVal along the transect, determinations were made 0F substrate harmonic mean sand grain diameter, grain size distribution, eFFective grain size, grain uni- Formity coeFFicient, porosity, and unit weight. According to criteria utilized by the American Bureau oF Soils, the substrate 0F the transect could be characterized as Fine sand. Average harmonic mean grain size oF the entire transect was 0.109 mm. Mean eFFective grain size For the beach transect was 0.094 mm., and mean uniFormity coeFFicient For the transect as a whole was 2.43. Mean porosity oF the intervals examined along the transect was 46.8 per cent. An overall tendency was evidenced For harmonic mean grain size, eFFective grain size, and uniFormity coeFFicient to increase with in- creasing distance From waterline. Porosity decreased with distance From shoreline. Sand samples taken at interVals closest to the normal shoreline showed a great- er water retention capacity than those located Further inland. Positive Film exposures made along the transect indicated eFFective light penetration into the sand to be somewhat less than 0.5 cm. with no essential diFFerence in light penetration in wet or dry sand. Transect temperature determinations made during the 12-month study indicated a strong tendency For tempera— tures oF the most lakeward stations to approximate within "W452 462 3°C. those oF the lake surFace. Temperatures oF the most landward intervals tended to approximate, within 3°C., breast height air temperature. Temperature variation be— tween extremes oF the transect tended to be lowest during winter months and greatest in spring and Fall. The black layer was poorly deFined ahd sporadic in appearance during those months it was present. At no time during the study did the black layer reach the depth penetrated by the sampling cores. An inverse relationship was apparent between the 12-month mean percentage water content and distance From shoreline. Twelve-month mean percentage water content on wet gross weight basis ranged From 3.0 per cent at the 300 cm. interval to 24.6 per cent at the 25 cm. in- terval. Maximum diFFerentials in percentage water con— tent between shoreline and the 300 cm. interval occurred on those collection periods during which the substrate was Frozen. 0n the basis oF 12-month means, the sand oF the 300 cm. interval contained only 12.2 per cent as much water as did the 25 cm. interval. An inverse relationship was apparent between 12- month mean water retention at each interval, expressed as percentage oF theoretical maximum water retention capacity, and the distance oF sample interval From shore— line. Fluctuations in substrate organic content apparent- ly resulted in monthly irregularities in water content 463 at certain intervals which could not be explained on the basis oF granulometric conditions alone. It was concluded percentage water content at col- lection intervals along the transect was directly related to porosity and distance From the shoreline and/or phreatic surFace up to a certain critical distance, and beyond the critical distance it became secondarily related to the amount oF organic matter present. Determinations oF pH monthly at each 25 cm. in- terval along the transect were made both directly with pH meter probe and with standard soil pH determination techniques. Closely similar results between the two pH determination techniques were observed until sand per- centage water content Fell below 10 per cent. In general, interstitial water tended to be more acidic than that in the adjacent lake. In the transect, pH tended to shiFt toward more acidic values with increasing distance From shoreline. Monthly shiFts in pH 0F lakewater tended to be mirrored by similar shiFts in pH at any given inter- val along the transect. Alkalinity tended to decrease markedly with dis- tance From shoreline. Because oF buFFering eFFects oF iOns producing alkalinity, it was concluded organisms present in interstitial water oF more landward portions oF the transect were more subject to pH variations than those in the more shoreward portion. 464 As a result oF Field experimentation, it was con- cluded interstitial water withdrawn From the beach was not the water within which the algae oF the psammolittoral live. There was no evidence that interstitial water is derived From the adjacent water basin or that chemical conditions within the interstitial water may inFluence those within the adjacent water basin. In interstitial water, mean values For total and bicarbonate alkalinity, calcium hardness, carbonate hard— ness, total hardness, dissolved carbon dioxide, nitrate and nitrite nitrogen, total iron, sulFates, and silicates were appreciably higher than those in the adjacent lake. Only mean values For carbonate alkalinity, non—carbonate hardness, dissolved oxygen, and orthophosphate were higher in the lake than in interstitial water. Similar patterns in monthly Fluctuations in abundance oF silicates, ortho~ phosphates, total iron, and nitrate and nitrite nitrogen were observed in interstitial water and lake water. No eFForts were made to correlate Fluctuations in qualita- tive and/or quantitative abundance oF the algae oF the beach transect with concomitant Fluctuations in the chemistry oF the interstitial water. Apparent relation— ships did exist, however, between Fluctuations in quali- tative and quantitative abundance oF phytoplankton and those oF silica, orthophosphates, and nitrate and nitrite nitrogen. Mean values For non—volatile dissolved solids 465 in lake water was only 57.3 per cent that in interstitial water. During the 12-month study, 187 species oF algae were identiFied present in the lake adjacent to the beach transect. Qualitative collections were dominated by members oF the Chrysophyta in all months but January and June. Greatest phytoplankton species diversity was ex- hibited in Fall, spring, and summer and least diversity during the December-Karch period when the lake was sub- jected to ice cover. Quantitatively, the phytoplankton was dominated by chrysophytes and cyanophytes in all months but June. A clear seasonal progression in quane titative dominance oF the phytoplankton appeared during the study. Members oF the Chroococcales and Hormogonales quantitatively dominated the phytoplankton From November through January and in July and August. members oF the Chrysophyta, particularly the Chrysomonadales, dominated phytoplankton samples February through may and again in September and October. The phytoplankton population Fluctuation pattern was bimodal during the 12-month study. Minima in numbers oF phytoplankters occurred in winter and mid-summer, and maxima occurred in spring and early Fall. During the 12-month study, 179 species oF algae were identiFied present in samples collected From the psammolittoral zone transect. OF these, 74 species were Found only in the beach, and 105 were present both in the psammon and in the phytoplankton. Qualitatively, the psammon algal Flora was essentially one comprised oF members oF the Hormogonales and Pennales. At each tran- sect interval, species assigned to these two orders con- tributed 57 per cent or more 0F the total species count recorded at that interval during the 12-month study. A total 0F 76 per cent 0F the psammon algae species list was contributed by members oF the Chrysophyta and Cyanophyta. There was no conspicuous exception on a month by month basis to the generalization that the quali- tative algal Flora oF the beach transect was dominated by Filamentous blue-green algae and diatoms. Each oF the Four transect intervals was qualitatively dominated throughout the 12-month sampling period by members oF the Hormogonales and Pennales. The direct count method was utilized in collec- tion oF quantitative data relative to the algae oF the beach transect. Data were reported both in numbers oF individuals per cc. oF sand and as a relative abundance index in compariSOn to the density oF phytoplankton per cc. oF lake water on each collection date. The psammon Flora was quantitatively dominated throughout the year by Filamentous blue-green algae and diatoms. Throughout the year, the Hormogonales dominated the algal Flora at the 200 and 300 cm. intervals, except For the may-September period when the Heterococcales and Pennales established transitory dominance at the 300 cm. interval. At the 467 100 cm. interval, the Hormogonales dominated winter and late summer samples, and the Pennales dominated spring and early summer and late Fall. At the 25 cm. interval, diatoms dominated winter and late Fall, Filamentous blue- green algae dominated spring and summer collections. The 12-month Fluctuation in total number oF algal individuals in the beach was essentially bimodal in character at all beach intervals. Total number oF algal individuals at all beach intervals reached maxima during the December-March period when the south—Facing beach was solidly Frozen except during late aFternoon hours, and secondary maxima occurred in the beach intervals at some point during the Nay-July period. Algal population minima in the psammolittoral zone occurred in the March- April period aFter thaw and during a time oF Fluctuating lake levels. Subsequent to the summer maximum, a general decline in number 0F algal individuals occurred at all intervals until the October termination oF the study. An inverse relationship thus was evidenced in quantitative algal abundance in the lake and at each beach transect interval. Indices oF diversity were calculated For the algal c0mmunity at each beach interval each month oF the 12-month sampling period in order to identiFy evidence oF physical or chemical Factor relationship to the algal community. Relationships were evidenced between psammon algal community structure at each transect interval and 468 the physical Factors oF substrate water content, sand grain size uniFormity coeFFicients, harmonic mean grain size diameters, and percentage volatile matter recorded at each interval. A direct relationship within 95 per cent conFidence limits was identiFied between algal com— munity indices 0F diversity at each transect interval and water content oF the substrate. Inverse relationships between algal community indices oF diversity and harmonic mean grain size diameters and between community indices oF diversity and grain size uniFormity coeFFicients ap— proached but did not reach 95 per cent conFidence limits. Decreasing magnitudes oF indices 0F diversity with in- creasing distance From shoreline indicated an increasing— ly severe environment shoreward From waterline in the psammolittoral zone. Community coeFFicients were calculated For the algal communities within the lake and each beach tran- sect interval each month oF the 12-month study. A Funda- mental diFFerence in community structure was indicated between the lake and beach. It was considered signiFi— cant that many oF the most quantitatively and qualitative- ly abundant algal species in the beach have been character- ized in the literature as soil algae and that a relatively large number are characteristic oF arid soil environments. No ecotone could be identiFied in the beach as a whole or at any interval. It was concluded there was no transition in evidence From an aquatic to a terrestrial 469 environment along the beach transect. Rather, it was concluded that a beach algal community exhibited a quali- tative and quantitative attenuation shoreward From water- line in response to an increasingly severe environment. LITERATURE CITED AND LITERATURE CITED Aleem, A. A. 1950. The diatom community inhabiting the mudFlats at Whitetable. New Phytologist, 49(2):174-182. Altherr, E. 1963. Contribution a la connaissance de la Faune des sables submergés en Lorraine. Nematodes. Ann. Sepleol., 18(1):53-98. Ambrose, A. w. 1924. Use oF detectors For tracing movement 0F underground water. U.S. Bureau Mines Bull. 195, washington D.C. 106-120. Arrhenius, O. 1921. Species and area. Jour. Ecol., 9:95—99. Baklanovskaya, T. N. 1963. A contribution to the knowledge oF the algae oF the sand beach oF the Uchinsk reservoir. ReFerat. Zhur Biol., 18U21: 56-71. Baver, L. D. 1940. Soil physics. :70 pp. John Wiley & Sons. Beanland, F. Louise. 1940. Sand and mud communities in the Davey Estuary. Jour. Mar. Biol. Ass'n., 24:589-611. 1932. State oF Michigan, Moraines. Bergquist, S. C. .C.S. Dept. oF the Interior. U.S Bingham, m. T. 1945. The Flora oF Oakland County, Michigan. Cranbrook Institute 0F Science, Bull. 22, 155 pp. Birge, E. A. and Juday, C. 1922. The inland lakes oF wisconsin. The plankton. 1. Its quality and chemical composition. Bull. Wis. Ceol. and Nat. Hist. Surv. Sci. Ser., 64:1-222. Blum, J. L. 1956. The application 0F the climax concept to algal communities oF streams. EcolOQy, 37(3):603—604. 471 472 Boaden, P. J. 1963a. The interstitial Fauna 0F some North Wales beaches. Jour. Mar. Biol. Assoc. U. Kingdom, 43(1):?9-96. Boaden, P. J. 1963b. Colonization 0F graded sand by an interstitial Fauna. Cahiers Biol. Marine, 3:245-248. Boaden, P. J. 19630. Marine gastrotricha From the interstitial Fauna oF some North Wales beaches. Proc. 2001. Soc. London, 140(3):485-502. Bouyouchos, G. 1962. Hydrometer method improved For making particle size analyses oF soils. Agron. Jour., Vol. 54:464. Bracher, Rose. 1929. The ecology oF the Avon banks at Bristol. Jour. Ecol., 17:35-81. Bray, J. R. and Curtis, J. T. 1957. An ordination oF the upland Forest communities oF southern Misconsin. Ecol. Monographs, 27(4):325-347. Bruce, J. R. 1928. Physical Factors on the sandy beach. I. Tidal, climatic, and edaphic. J. Mar. Biol. Assn., 15:535—552. Bruce, J. R. 1928a. Physical Factors on the sandy beach. . Chemical changes - carbon dioxide concentration and sulphides. J. Mar. Biol. Assn., 15:553-565. Burner, C. C. and Leist, Claude. 1953. A limnological study oF the college Farm strip-mine lake. Trans. Kans. Acad. Sci., 56(1):?8-85. Cameron, R. E. 1964. Terrestrial algae oF So. Arizona. Trans. Amer. Micro. 800., 83(2):212-217. Canapati, P. N.; Lakshmana Rao, M. V.; and Subba Rao, D. V. 1959. Tidal rythm oF some diatoms and dinoFlagellates inhabiting the intertidal sands oF the Visakhaputnan beach. Current Sci., 28(11): 450-451 Chandler, David C. 1940. Limnological studies oF western Lake Erie. I. Plankton and certain physical-chemical data oF the Bass Islands region, From September, 1938, to November, 1939. Ohio Jour. Sci., 40(6):291-336. Chandler, David C. 1942. Limnological studies 0F Western Lake Erie. III. Phytoplankton and physical- chemical data From November, 1939, to November, 1940. Ohio Jour. Sci., 42(1):24-44. iIiII::::_________________________i___i_ 473 Chandler, David C. 1944. Limnological studies 0F Western Lake Erie. IV. Relation 0F limnological and climatic Factors to the phyto lankton OF 1941. Trans. Amer. Micr. Soc.. 58( :203«236. Chappuis, P. A. 1942. Eine neue methode zur untersuchung der CrundwasserFauna. Acta Sc. Math. Nat. Univ. Francico-Josephina, 6:1-7. Chappuis, P. A. 1944. Die GrundwasserFauna der Koros und des Szamos. Mathem. Termeszettudomanyi Kozlem, Budapest, 40:1-42. Chappuis, P. A. 1946. Un nouveau biotope de la Faune souterraine a uatique. Bull. Acad. Roum. Sect. Sci., 29, 21 1946). Chappuis, P. A. 1954. Un nouvel Isopode psammique du Maroc: Microcerberus Remyi. Vie et Milieu, 4:659-663. Chappuis, P. A. and Delamare Deboutteville, C. 1952. Nouveaux Isopodes du sable des plages du Roussillan. Compt. Rend. Acad. Sci., Paris, 234:2014-2016. Chappuis, P. A. and Delamare Deboutteville, C. 1954. Les Isopodes psammiques de la Mediterranee. Arch. 2001. Expo Geno, 91:103‘1380 Chappuis, P. A. and Delamare Deboutteville, C. 1956a. Etudes sur la Faune interstitielle des iles Bahamas recoltee par Madame Renavo-Debyser. Vit et Milieu, 7:373-396. Chappuis, P. A. and Delamare Deboutteville, C. 1956b. Recherches sur la Faune interstitielle des sediments marins et d'eau douce a Madagascar VII. Mem. Inst. Sci. Madagascar A., 10:80-88. Climate oF Michigan. 1963. In climate oF Michigan by stations. Weather Bureau. United States Dept. oF Commerce. Crites, J. L. 1961. Some Free living marine nematodes From the sand beaches oF Piver's Island, No. Carolina. Jour. Elisha Mitchell Sci. Soc., 77(1):?5-88. Culberson, William L. 1955. The corticolous communities oF lichens and bryophytes in the upland Forests oF northern Wisconsin. Ecol. Monographs, 25(2): 215-231. 11 111 \1 1 1’11‘1 111 1 ‘1‘ ,, %F“:¥ri\.~g-. 1. . 474 Curtis, J. T. and McIntosh, R. P. 1951. An upland Forest continuum in the prairie-Forest border region oF Wisconsin. Ecol., 32:476-496. Davis, Charles C. 1954a. A preliminary study oF the plankton oF the Cleveland Harbor area, Ohio. II. The distribution and quantity oF the phyto- plankton. Ecol. Monogr., 24:321-347. Davis, Charles C. 1954b. A preliminary study oF the plankton oF the Cleveland Harbor area, Ohio. III. The zooplankton, and general ecological considerations oF phytoplankton and zooplankton production. Ohio. Jour. Sci., 54(6):388-408. Delamare Deboutteville, C. 1954. Premieres recherches sur la Faune littorale en Espagre. P. Inst. Apl., 17:119 (1954). Delamare Deboutteville, C., and Chappuis, P. A. 1956a. Recherches sur la Faune interstitielle des sediments marins et d'eau douce a Madagascar. VIII. Angeliera ghreaticola Chappuis et Delamare, le premier Microparasellide souterrain de Madagascar (Crustacé Isopoda). Mém. Inst. Sci. Madagascar, A, 10:89-94. Delamare Deboutteville, C., and Chappuis, P. A. 1956b. Complements a la diagnose de quelques Microcerberus. Vie et Milieu, 7:366—372. Delamare Debouttebille, C., and Chappuis, P. A. 1957. Contribution a l'étude de la Faune interstitielle marine des Cates dA'Frique. I. Mystacocardies, Copépodes et Isopodes. Bull. Inst. Fr. AFr. Norte, 19:491—500. Desikachary, T. U. 1959. Cyanophyta. Academic Press. Detroit metropolitan network annual summary, 1963-1964. U.S.D.C., Detroit. Dineen, Clarence F. 1953. An ecological study oF a Minnesota Farm pond. Amer. Midl. Nat., 50(2): 349-376. Dole, R. B. 1906. Use oF Fluorescein in the study 0F underground water. U.S. Geological Survey Water- Supply Paper 106. Washington, D. C., pp. 73-86. Drayesco, J. 1962. On the biology oF sand-dwelling ciliates. Sci. Progr., 50(199):353—363. 475 Durrell, L. W. 1962. Algae oF Death Valley. Trans. Amer. Micros. Soc., 81(3):267-273. Durrell, L. W. and Shields, L. M. 1961. Characteristics oF soil algae relatin to crust Formation. Trans. Amer. Micro. Soc., 80?1):73-80. Edmondson, M. T. 1948. Two new species oF RotaForia From sand beaches, with a note on Collotheca Wiszniewskii. Trans. Amer. Mic. Soc., 67(2): 149-152. Ellis, 0. 1925. An investigation into the cause oF the blackening oF the sand in parts oF the Clyde Estuary. Jour. Roy. Tech. Coll., Clasgow:144—156. Emery, K. O. 1961. A simple method oF measuring beach proFiles. Limnol. & Oceanogr., 6(1):90-93. Evans, J. H. 1958. The survival oF Freshwater algae during dry periods. I. An investigation oF the algae oF Five small ponds. Jour. oF Ecol., 46(1):149-167. Evans, J. H. 1959. The survival oF Freshwater algae during dry periods. Part III. StratiFication oF algae in pond margin litter and mud. Jour. oF Ecology, 47(1):72-B1. Evans, J. H. 1959a. The survival oF Fresh water algae during dry periods. Part II. Drying experiments. Jour. oF Ecol., 47:55-71. Evans, J. H. 1960. Further investigations oF the algae oF pond margins. I. The microstratiFication oF algae in marginal litter. Hydrobiol., 15(4): 384-394. Fauré-Fremiet, E. 1950. Tidal rhythms of Chromuliana psammobia. Bull. Biol. France. Belgique, 84: 207-217. Fauré—Fremiet, E. 1951. Tidal rhythms oF Hantzschia amphioxys. Biol. Bull. Woods Hole, 100(3):173-177. Fauré-Fremiet, E. 1961. Some considerations on the sand dwelling ciliates with regard to a recent work by J. Drayesco. Cahiers Biol. Marine, 2(2): 177—186. Fisher, R. A.; Corbet, A. S.; and Williams, C. B. 1943. The relation between the number oF species and the number oF individuals in a random sample oF an animal population. Jour. Animal Ecol., 12:42-58. «a» 3’, 11wdfi-VV‘ 1 476 Forest, H. S. 1962. Analysis of the soil algal community. Trans. Amer. Microscop. Soc., 81(2):189-198. Forest, H. 5.; Miller, Constance 5.; and Raizen, C. Eileen. 1963. Interrelation oF three algae in prairie soil cultures. Ecology, 44(1):165-167. ' France, R. H. 1913. Das Edaphon. Arb. Biol. Inst. MUnch. No. 2. Fritsch, F. E. 1922. The moisture relations oF terrestrial algae. I. Some general observations and experiments. Ann. Bot. Lond., 36:1-20. Fritsch, F. E. and Haines, F. M. 1923. The moisture relations oF terrestrial algae. I. Changes during exposure to drought and treatment with hypertonic solutions. Ann. Bot. Lond., 37:683-728. Fritsch, F. E. and John, R. P. 1942. An ecological and taxonomic study oF the algae oF British soils. Ann. Bot. Lond., N.S. 6:371—412. Gieysztor, M. 1938. Ueber einige Turbellarien aus dem SUsswasserpsammon. Arch. d'Hydrobiol. et d'Ichtyol., 11:364—382. Gleason, H. A. 1922. On the relation between species and area. Ecol., 3:158—162. Gnanamuthu, C. P. 1954. Two new sand-dwelling isopods From the Madras sea shore. Ann. and Mag. Nat. Hist., 7:257-274. Greig—Smith, P. 1964. Quantitative Plant Ecology. Butterworths. GriFFith, R. E. 1955. Analysis oF phytoplankton yields in relation to certain physical and chemical Factors oF Lake Michigan. Ecology, 36(4):543-552. Hairston, N. G. 1959. Species abundance and community organization. Ecol., 40(3):404-416. Herdman, E. C. 1921. Notes on dinoFlagellates and other organisms causing discoloration oF the sand at Port Erin. I. Proc. Liverpool Biol. Soc., 35:59-63. Hill, T. G. and Hanley, J. A. 1914. The structure and water content oF shingle beaches. Jour. Ecol., 2:21-38. 477 Hough, B. K. 195?. Basic Soils Engineering. 513 pp. The Ronald Press Co. Humphreys, C. R. and Green. 1962. Michigan Lake Inventory Bulletin No. 63. Mich. St. Univ. Hutchinson, G. E. 1944. A critical examination of the supposed relationship between phytoplankton periodicity and chemical changes in lake waters. Ecol., 25:3-26. Janicka, S. 1954. Etude d'un micropsammon vegetal. Rapp. Ville Congr. Inter. Bot. Sec. 17. Jansson, Bengtoue. 196D. Michaelsena glandulifera n. sp., a new enchytraeid from the interstitial fauna of sandy beaches. Arkiu 2001., 13(4):81-87. John, R. P. 1942. An ecological and taxonomic study of the algae of British soils. Distribution of surface growing algae. Ann. Bot. Lond., N.S. 6, 323‘490 Johnson, R. G. 1961. Temperature variation in the infaunal environment of a sand flat. Limnol. Oceanography, 1D(1):114-120. Juday, C. and Birge, E. A. 1931. A second report on the phosphorous content of wisoonsin lake waters. Trans. Wis. Acad. Sci., Arts, and Letters, 26:353-382. Kaufman, w. J. and Todd, D. K. 1955. Methods of detecting and tracing the movement of groundwater. 130 pp. Inst. Eng. Research Rep. 93-1. Univ. Calif. Kaufman, w. J. and Drlob, G. T. 1956. Measuring ground- water movement with radicactive and chemical tracers. Jour. Amer. Water works Assoc., Vol. 48: 559-572. \ Kidd, D. E. 1964. A quantitative analysis of phyto- plankton along a Rocky Mountain divide transect. Trans. Amer. Micro. Soc., 83(4):409-420. Kilmer, V. J. and Alexander, L. T. 1949. Methods of making mechanical analyses of soils. Soc. Sc., 68:15-24. King, C. E. 1960. Some aspects of the ecology of two psammolittoral nematode populations. A.5.B. Bull., 7(2):32. 478 King, C. E. 1962. Some aspects of the ecology of psammolittoral nematodes in the northeastern Gulf of Mexico. Ecology, 43(3):515-523. King, C. E. 1964. Relative abundance of species and MacArthur's model. Ecol., 45:716-727. Kirkham, D. and Feng, C. L. 1949. Some tests of the diffusion theory, and laws of capillary flow in $05.13. SOil Sci. V01. 67. pp. 29‘400 Klie, w. 1929. Die Copepoda Harpacticoida der dudl. und westl. Dstsee mit bes. Berucksuchtigung der sandfauna der Kieler Bucht. Zool. Jahrb. Syst., 57:329-386. Koepcke, H. w. and Koepcke, M. 1952. On the transforma— tion of organic matter on the sandy beaches of the coast of Peru. Publ. Mus. Hist. Nat. Ser. A. Zool., 8:1-25. Kohn, A. J. 1959. The ecology of Conus in Hawaii. Ecol. Monogr., 29(1):47—9U. Kohn, Manfred. 1928. Beitrage zur Theorie und Praxis der Mechanischen Bodenanalyse. Landw. Jahrb., 67:485-546. Krumbein, M. C. and Pettijohn, F. J. 1938. Manual of sedimentary petrology. Appleton-Century. Kunz, H. 1938. Zur Kenntnis der Harpacticoiden des Kustengrundwassers der Kieler Fords. Kieler Meeresforschungen, 2295-116. Lambs, T. W. 1951. Capillary phenomena in cohesionless soils. Trans. Amer. Soc. Civil Engineers, Paper 2435, Vol. 116. pp. 401-431. Leverett, F. 1917. Surface geology and agricultural conditions of Michigan. Mich. Geol. Biol. Surv., Geol. Ser. 21, Publ. 25. 223 pp. Leverett, Frank. 1924. Map of the surface formations of the southern peninsula of Michigan. Gaol. Survey Division. Dept. of Conservation of Michigan. Leverett, F. and Taylor, F. B. 1915. The Pleistocene of Indiana and Michigan and the history of the Great Lakes. U.S. Geol. Surv. Monogr. 53. U.S. Govt. Print. fo. Mash., D.C. 523 pp. 479 Levi, C. 1958. Qgslgflig teissieri nov. gen., n. sp. nouveau Parasellide des cates de France. Arch. 2001. Exp. G5n., Notes et Revue, 87:42-47. Lund, J. w. G. 1942. The marginal algae of certain ponds with special reference to the bottom deposits. J. Ecol., 30(2):245'2830 Lund, J. m. G. 1945. Observations on soil algae. I. The ecology, size and taxonomy of British soil diatoms. The New Phytologist, 44(2):196-219. Lund, J. w. G. 1946. Observations on soil algae. I. The ecology, size and taxonomy of British soil diatoms. The New Phytologist, 45(1):56—11D. Lund, J. w. G. 1962. Soil algae, pp. 759-770. Physiology and Biochemistry of Algae, ed. R. A. Lewin. Academic Press. Luthin, J. N. and Day. P. R. 1955. Lateral flow above a sloping water table. Soil Science Society Proceedings, Vol. 19. pp. 406-410. MacArthur, R. 1960. On the relative abundance of species. Am. Naturalist, 94:25-36. MacArthur, R. H. 1964. Environmental factors affecting bird species diversity. Amer. Naturalist, 98(983):387-397. MacArthur, R. and MacArthur, J. 1961. On bird species diversity. Ecology, 42:594-598. Margalef, R. 1957. La teoria de la informacion en ecolo ia. Mem. real Acad. Cienc. Art. Barcelona, 32(13§:373-449. Margalef, R. 1959. Temporal succession and spatial heterogeneity in phytoplankton. Perspectives in Marine Biology. Univ. Calif. Press. Margalef, R. 1963. On certain unifying principles in ecology. American Naturalist, 97:357-374. Martin, H. M. 1955. Map of the surface formations of the southern peninsula of Michigan. Department of Conservation, Geological Survey Division, Publ. 49. Mavis, F. T. and Tsui, Tsung-Pei. 1939. Percolation and capillary movements of water through sand prisms, Bull. 18. Univ. Iowa Studies in Eng., Iowa City. 25 pp. 480 Meinzer, D. E. 1942. Hydrology. Dover Publications. Meyers, F. J. 1936. Psammolittoral rotifers of Lenape and Union Lake, New Jersey. Am. Mus. Novitates, 838:1-22. Milosevic, R. 1960. Microbiological analysis of soil and sand at different levels deposited at Novi Beo rad. Recucil Trav. Inst. Biol. Beograd, 4(5 :1-32. Moffett, J. F. 1943. A limnological investigation of the dynamics of a sandy wave—swept shoal in Douglas Lake, Michigan. Trans. Am. Micro. Soc., 62(1):1-23. Moore, G. M. 1939. A limnological investigation of the microscopic benthic fauna of Douglas Lake, Michigan. Ecol. Monog., 9:537-582. Moore, R. E. 1939. water conduction from shallow water tables. Hilgardia, Vol. 12. pp. 383-426. Neel, J. K. 1948. A limnological investigation of the psammon in Douglas Lake, Michigan, with especial reference to shoal and shore-line dynamics. Trans. Am. Micro. Soc., 67(1):1-50. Neiswestnowa-Shadina, K. 1935. Zur kenntnis des rheophilen Mikrobenthos. Arch. f. Hydrobiol., 28:555-582. Newcombe, C. L. 1935. Certain environmental factors of a sand beach in the St. Andrews Region, New Brunswick, with a preliminary designation of the intertidal communities. Jour. Ecol., 23:334—355. Nicholle, A. G. 1935. Copepods from the interstitial fauna of a sandy beach. Jour. Marine Biol. Assn., 20:379-405. Nicholle, A. G. 1939. Some new sand-dwelling copepods. Journ. Mar. Biol. Ass. U.K., 23:327-341. Nicholle, A. G. 1945. Marine Copepoda from western Australia. IU. Psammophilous harpacticoids. Jour. Roy. Soc. west. Aus., 29:17-24. Nicholle, A. G. 1945b. Marine Copepoda from western Australia. U. A new species of Paramesochra, with an account of a new harpacticoid family, the Remaneidae, and its affinities. Jour. Roy. Soc. west. Aus., 29:91-185. 481 Odum, E. P. 1959. Fundamentals of Ecology, 2nd. ed. M. B. Saunders. Oliver, F. d. 1912. The shingle beach as a plant habitat. New Phyt., 11:73-99. Olsson-Seffer, P. 1918. The sand strand flora of marine coasts. Augustano Libr. Publ., 7:1-183. Oosting, H. J. 1956. The study of plant communities, 2nd. ed. Freeman and Co. Oreshkina, N. A. 1968. Experimental classifications of the water-retaining capacity of fine sand and coarse silt fractions. Pochrovsdenie, 1:68-75. Patrick, R. and Reimer, C. H. 1966. The diatoms of the United States. Monog. Acad. Nat. Sci. Phila, 13. Pearsall, J. H. 1923. A theory of diatom periodicity. Jour. Ecol., 11:165-183. Pearse, A. 3.; Humm, H. J.; and iharton, G. M. 1942. Ecology of sand beaches at Beaufort, North Carolina. Ecol. Honogr., 12:135—198. Pennak, R. H. 1938. The ecology of the psammolittoral organisms of some fiisconsin lakes with special reference to the Tardigrada, Copepoda, and Rotatoria. Ph.D. thesis, Univ. of Misconsin, 1938. Pennak, Robert A. 1939. The microscopic fauna of the sandy beaches. In problems of lake biology. Amer. Assoc. Adv. Sci., Pub. 18:94—186. Pennak, R. M. 1939a. A new rotifer from the planmolittoral of some Jisconsin lakes. Trans. Amer. Micro. Soc., 58(2):222~223. Pennak, R. w. 1939b. A new copepod from the sandy beaches of a Nisconsin lake. Trans. Am. Micro. Soc., 58:224—227. Pennak, R. w. 1948. Ecology of the microscopic metazoa inhabiting the sandy beaches of some Misconsin lakes. Ecol. Monographs, 18:537-615. pennak, R. 3. 1942. Harpacticoid copepods from some intertidal beaches near floods Hole, Massachusetts. Trans. Amer. Micros. Soc., 61:274—285. Pennak, R. u. 1942b. Ecology of some copepods inhabiting intertidal beaches near floods Hole, Massachusetts. Ecology, 23:446—456. 482 Pennak, R. M. 1946. The dynamics of fresh-water plankton populations. Ecol. Monographs, Vol. 16:339—356. Pennak, R. M. 1958. Comparative ecology of the inter- stitial fauna of fresh—water and marine beaches. Collogue. Intern. Centre Nat. Rech. Scient. Ecol. Paris. Anneé Biologique, 27(6):217-248. Pennak, R. w. 1958. A new micro—isopod frOm a Mexican marine beach. Transactions Amer. Micro. Soc., 77(3):298-303. Pennak, R. w. and Zinn, D. J. 1943. Mystacocarida, a new order of crustacea from intertidal beaches in Massachusetts and Connecticut. Smithsonian Miscellaneous collections, 103(9):1-11. Petersen, J. B. 1935. Studies on the biology and taxonomy of soil algae. Dansk. Bot. Ark., 8(9): 1"180. Phifer, L. D. 1929. Littoral diatoms of Argyle Lagoon. ' Publ. Puget Sound Biol. Sta., 7:137-149. Pirrie, M. E.; Bruce, J. R.; and Moore, H. B. 1932. A quantitative study of the fauna of the sandy beach at Port Erin. Jour. Mar. Biol. Ass'n., 18:279-296. Prenant, M. 1968. Ecological study of the intercoastal sands. I. Questions of granulometric method. Application to three arms of the Bay of Zuiberon. Cahiers Biol. Marine, 1(3)£295-348. Prescott, G. w. 1962. Algae of the western Great Lakes area. Mm. C. Brown Co. Preston, F. H. 1948. The commonness, and rarity, of species. Ecology, 39:254-283. Preston, F. w. 1968. Time and space in the variation of species. Ecology, 41:785-798. Rao, C. B. 1955. On the distribution of algae in a group of six small ponds. II. Al al periodicity. The Jour. of Ecol., Uol. 43%1):291~387. Reed, Edward B. and Olive, John R. 1956. Annual cycle of net plankton in a fluctuating north-central Colorado reservoir. Ecology, 37(4):?13—719. Remane, A. and Siewing, R. 1953. Microcerberus delamarei nov. spec., eine marine Isopodenart von der KUste Brasiliens. Kieler Meeresforschungen, 9:288-284. 433 Remson, I. and Fox, G. S. 1955. Capillary losses from ground water. Trans. Amer. Geophysical Union, 36:384-318. Richards, L. A. 1931. Capillary conduction of liquids through porous mediums. Physics, 1:318-333. Round, F. E. 1968. Studies on bottom-living algae in some lakes of the English Lake District. IV. The seasonal cycles of the Bacillariophyceae. Jour. Ecol., 48(3):529-548. Round, F. E. 1961. Studies on bottom-living algae in some lakes of the English Lake District. III. The seasonal cycles of the Cyanophyceae. Jour. Ecol., 49(1):31-3 . - Round, F. E. 1951b. Studies on bottom-living algae in some lakes of the English Lake District. VI. The effect of depth on epipelic algal community. Jour. Ecol., 49(2):245-254. Round, F. E. 1965a. The biology of the algae. St. Martin's Press. Round, F. E. 1965b. The epipsammon; a relatively unknown freshwater algal association. British Phycological, Bull. 2(6):456-462. Round, F. E. and Happey, C. M. 1965. Persistent, vertical- migration rhythms in benthic Microflora. V. diurnal rhythm of the epipelic diatom association in non-tidal flowing water. British Phycological, Bull. 2(6):463-471. Russell, M. B. 1949. Methods of measuring soil structure and aeration. Soil Science, 68:25-35. Russell, E. J. 1958. Soil conditions and plant growth, 8th. ed. Longmans, Green, and Co. Ruttner-Kolisko, A. 1953. Das psammon des Tornetrask in Schwedisch Lappland. Sitz. Ber. Osterr. Akad. Missensch., 162/3:129—151. Ruttner—Kolisko, A. 1954. Das psammon des Erken in Mittelschweden. Sitz. Ber. Osterr. Akad. wiss., 163/4-5:301-324. Ruttner-Kolisko, A. 1955. Einige Beispiele fur die Auswirkung des wetters auf die Lebensbedingungen in feuchten sand. wetter u. Leben, Jg. 7:1-2. 484 Ruttner-Kolisko, A. 1955a. Rheomorpha neiswestnovae and Marinellina flagellata, zwei phylogenetisch interessante Murmtypen aus dem Susswasserpsammon. Osterr. Zool. Zschr., 6/1-2. Ruttner-Kolisko, A. 1956. Psammonstudien. III. Das psammon des Lago Maggiore in Oberitalien. Mem. dell' Institute Italiano di Idrobiol. Dott. Marco de March, 9:365-482. Ruttner-Kolisko, A. 1961. Biotop and Biozonose des Sandufers einiger osterreichischsn FlUsse. Proceedings of the International Assoc. of Limnology, 14(1):362-368. Ruttner-Kolisko, A. 1962. Porenraum und Kapillare- u wasserstromung in Limnopsammal, ein Beispiel fur die Bedeutung verlangsampter stromung. Hydrobiologia, 24:444-458. Sakharova, M. I. 1963. Mikrobentos peschanykh plyazhei Uchinskogo vodokhran'lishcha (Microbenthos of sandy beaches of Uchinsk Reservor). Uchinskoe i Mozhaiskoe Vodokhranilishcha. Mosk. Univ., 39-55. Salvat, B. 1962. Faune des sediments meubles intertidaux du bassin d'arcachon. Systematique et ecologie. Cahiers Biol. Marine, 3:219—244. Sassuchin, D. N. 1926. Zur Frage der Bodenprotozoen. Russ. Arkh. Protistol, 5:241-246. Sassuchin, D. N. 1931. LebensbedingGgen der Mikrofauna in Sandanschwemmungen der Flusse und im Triebsand der Mustem. Arch f. Hydrobiol., 22:369-388. Sassuchin, D. N.; Kabanov, V. M.; and Neiswestnova, K. S. 1927. Uber die mikroskopiche pflanzen- and Tierwelt der Sandflache des Okaufers bei Murom. Russ. Hydrobiol. Zeitschr., 6:59-83. Saunders, H. L. 1968. Benthic studies in Buzzards Bay. I. The structure of the soft bottom community. Limnol. Oceanog., 5:138-153. Schulz, E. 1937. Das Farbstreifen-Sandwatt und seine fauna, eine okologisch-biozonotische Untersuchung on der Nordsee. Kieler Meeresforschungen, 1: 358-378. Schultz, Vincent. 1952. A limnological study of an Ohio farm pond. Ohio Jour. Sci., 52(5):267-285. .flui-s-wm;f_ , , _ 485 Schumacher, G. N. 1963. Communities of algae in North Carolina streams and their seasonal relations. Hydrobiologica, 22(1-2):133-197. Schwoerbel, J. 1961. Uber die Lebensbedingungen und die Besleolungdes hyporheischen Lebensraumes. Archiv. fur Hydrobiologie (Supplement), 25(4):182-214. Scott, A. 1968. The fauna of the sandy beach, Village Bay, St. Kilda. Oikus, 11(1):153-168. Scott, I. D. 1921. Inland lakes of Michigan. Mich. Geo. and Biol. Surv. Publ. 38, Geo. Series 25. 371 pp. Seeley, D. A. 1917. The climate of Michigan and its relation to agriculture. Mich. St. Board of Agriculture. 38 pp. Shields, L. M. and Durrell, L. w. 1964. Algae in relation to soil fertility. The Botanical Review, 38(1): 92-128. Shtina, E. A. and Bolyshev, N. N. 1963. Algal communities in the soils of arid and desert steppes. Bot. Zhur., 48(5):670-681. Smith, R. E. 1966. Ecology and field biology. Harper and Row. Smith, w. 8.; Foote, P. D.; and Busang, P. F. 1931. Capillary rise in sands of uniform spherical grains. Physics, 1:18-26. Spengler, Merlin Grant. 1968. Soil engineering, 2nd. ed. International Textbook Co. Spencer, John L. 1958. The net plankton of Quabbin Reservoir, Massachusetts, in relation to certain environmental factors. Ecology, 31(3):4OS-425. Spodniewska, I. 1958. The phytoplankton of riverain environments. Eng. Sum. Polish Ecol. Ser. A., 6(3):131—143. Standard methods for the examination of water and wastewater, 11th. ed. 1968. American Public Health Assoc. Stangenberg, M. 1934. Psammolitoral, ein extrem eutrophes wassermedium. Arch d'Hydrobiol. et d'Ichtyol., 8:273-284. ; Wt‘mfi"; '( 486 Stantscheff, r. 1944. Die Nematoden dss psammolittorals einiger holsteinischer Seen. Zool. Anz., 144: 216-222. Tamas, G. and Gellert, J. 1968. Adatok a Balatoni Hidropszammon Eleovilaganak Ismeretehez. Annal. Biol. Tihany, 27:65-73. Tchan, Y. T. 1953. Relationships between the redox potential, penetration of light and vertical distribution of algae in sandy soil. Australian Conference in Soil Science, Summaries, 1:3.7.1-3.7.3. Tchan, Y. T. and Mhitehouse, J. A. 1953. Study of soil algae. II. The variation of the algal population in sandy soils. Proc. Linn. Soc. N. s. wales, 78(3/4):160-170. Theroux, F. R.; Eldridge, E. F.; and Mallman, w. C. 1943. Laboratory manual for chemical and bacterial analysis of water and sewage. McGraw Hill. Tiemeier, Otto and Elder, James B. 1957. Limnology of Flint Hills farm ponds. Trans. Kans. Acad. Sci., 60(4):379-392. Todd, D. K. 1959. Ground water hydrology. John wiley and Sons. Tressler, a. L. 1948. Ostracoda from Beaufort,N. C., sand beaches. Amer. Midl. Nat., 24:365-368. TFYOH, G. A. and Jackson, T. F. 1952. Summer plankton productivity of Pymatuning Lake. Ecology, 33(3):342-358. U. 5. Dept. of Agriculture. Bureau of Chemistry and Soils Tech., Bull. 178. U. 5. Dept. of Agriculture. Climatological data. lichigan Section, Vol. 48, No. 13. U. 5. weather Bureau Climatological data, Michigan Section, 1963. Vacelet, E. 1961. The infusovian fauna of Amphioxus sand of the Marseille area. Bull. Inst. Oceanogr. (Monaco), 1202:1-12. Volera, C. L. and Seminiano, E. N. 1962. A survey of the blue-green algae in Philippine rice soils. VIII. Inter. Cong. for Microb. Montreal. 487 Varga, L. 1938. Vorlaufige Untersuchungen Uber die mikroscopischen Tisren des Balaton Psammons. Aub. Ung. Biol. Forsch. Inst., 18:181-139. Veatch, J. O. 1941. Agricultural land classification and land types of Michigan. Agr. Exper. Sta. Michigan State University, Special Bull. 231, 1st. rev. 67 pp. Veatch, J. O. 1953. Soils and land of Michigan. Michigan State College Press, East Lansing. 241 pp. Veatch, J. O. and Humphrys, C. R. 1964. Lake terminology. Bulletin 14, Dept. of Resource Development, M.S.U. Harren, S. and Mudd, S. '1924. The penetration of bacteria through capillary spaces. II. Migration through sand. Jour. Bact., 9:143-149. _ Mater analysis procedures, Cat. 8. 1963. Hach Chemical Company, Ames. Haber, P. G. 1963. A survey study of the metazoan fauna of the psammolittoral zone of Mud Lake, Barry Co., Michigan. Unpub. M.S. thesis, Mich. State Univ. Melch, Paul S. 1948. Limnological methods. The Blakiston Company. Welch, Paul S. 1952. Limnology 2nd. Ed. McGraw-Hill Book Company. Uieser, wolfgang. 1959. The effect of grain size on the distribution of small invertebrates inhabiting the beaches of Puget Sound. Limnol. and Oceanogr., 4(2):181—194. Mieser, w. 1968. Benthic studies in Buzzards Bay. II. The meiofauna. Limnol. and Oceanogr., 5(2):121-137. Milson, C. B. 1932. The copepods of the Moods Hole region, Massachusetts. Bull. U.S. Nat. Mus., 158:1—635. Wilson, C. B. 1935. A new and important copepod habitat. Smithson. Misc. Coll., 94:1-13. NiSzniewski, J. 1934a. Recherches écologiques sur le Psammon. Arch d'Hydrobiol. et d'Ichtyol., 8:149-271. 488 Miszniewski, J. 1934b. Remargues sur les conditions de la vie du psammon lacustre. Verh. Int. Ver. f. theor. U. angew. Limnol., 6:263-274. Miszniewski, J. 1934c. Les rotiferes psammiques. Ann. Mus. Zool. Pol., 18:339-399. Miszniewski, J. 1935. Notes sur le psammon. II. Arch d'Hydrobiol. et d'Ichtyol., 9(3/4):221-238. Miszniewski, J. 1935a. Note sur le psammon du lac 8hrid. Verh. Int. Ver. f. theor. U. angew. Limnol., 7:238-244. Miszniewski, J. 1936a. Notes sur le psammon. IV. Rotiferes psammiques de la Vistule pres de Varsovie. Arch d'Hydrobiol. et d'IchtyoL, 18:235-238. Miszniewski, J. 1936b. Notes sur le psammon. V. Rotiferes psammiques de quelques lacs de Tatras. Arch d'Hydrobiol. et d'Ichtyol., 18:238-243. Miszniewski, J. 1936c. Notes sur le psammon. III. Deux toubieres aux environs de Varsovie. Arch d'Hydrobiol. et d'Ichtyol., 18:173-187. Miszniewski, J. 1937. Der feuchte sand als Lebensmiliea. Mikrokosmos., 31:34-38. wiszniewski, J. 1937a. Differentiation écologique des Rotiferes dans le psammon d'eaux douces. Ann. Gus. Zool. Pol., 13:1-13. Miszniewski, J. 1947. Remargues relatives aux recherches recentes sur le psammon d'eaux douces. Arch. Hydrobiol. i Rybactwa, 13:7-36. Mulfert, <. 1936. Beitrage zur kenntnis der Radertierfauna Deutschlands. Arch. Hydr., 30. like mm a Wm,n. rfqfiwoi Chroococcales . Hormogonales . Euglenales . . Volvocales . . Tetrasporales . Chlorococcales Oedogoniales . Zygnematales . Peridiniales . Heter0coccales Chrysomonadales Chrysotricales Centrales . . . Pennales . . , 489 PLATES Plate I Plate IV Plate XI Plate XVI Plate XX Plate Plate Plate Plate Plate Plate Plate Plate Plate Plate Plate Plate Plate Plate IV XI XI XI XV XV XVII XVIII XVIII XVIII XVIII XIX XXVI Figure Figure Figure Figure Figure Figure Figure 498 Plate I Agmenellum quadruplicatum (Meneghini) Brébisson X988 ' Agmenellum thermale (KUetz.) D. and D. X900 Anacystis marginata Meneghini X988 Anacystis montana (Lightfoot) Droust and Daily X988 Aphanocapsa elachista Nest and Meet X980 Aphanothece saxicola Naegeli X988 Chroococcus limneticus Lemmermann X450 491 PLATE. I .-- "i’éifi fie % '@ ‘-. @9 65 -" $2". . . E i oer. 9"" .§§ - ' ‘- e ‘ I “- H \‘I‘ ’~_“-” , “WM" a W'§: Figure Figure Figure Figure Figure Figure Figure Figure Figure Plate II Chroococcus limneticus var. distans G.M. Smith X458 Chroococcus minutus (Kfietz.) N59- xgno \ Chroococcus turgidus (KUetZ.) Naegeli X458 ‘ Coccochloris peniocystis (Kfietzing) Drouet ‘ and Daily X988 Coelospherium dubium Grunow X458 Coelospherium Naegelianum Unger X Coelospherium pallidum Lemmermann Dactylococcopsis fascicularis Lemm X988 DaCtYlococcopsis raphidioides Hans 458 X988 ermann girg X900 493 PLATE II .. e a 8 mo ,, 8 s Q. ,9 .ee...e see a ex ...... aaoew . / see e\\ ..,..eese_e..... Illul\ —|Il._ ......... . eré 9 n Figure Figure Figure Figure Figure Figure 5. 6. Plate III Gloeothece rupestris (Lyngb.) Bornet X458 Gomphosphaeria aponina Kbetzing X900 Gomphosphaeria aponina var. gelatinosa Prescott X458 Gomphosphaeria aponina var. multiplex Nygaard X458 Gomphosphaeria lacustris Chodat X900 Microcystis elabens (Bréb.) Kfitz. X980 495 PLATE III .lli .I. A. a L L 1. V Figure Figure Figure Figure Figure Figure Figure 496 Plate IV Microcystis incerta Lemmermann X1888 Peloglea bacillifera Lauterborn X2888 Synechococcus aeruginosis Naegeli X100 Xenococcus Ksrneri Hansg. X1888 Anabaena affinis Lemmermann X1888 Anabaena sp. 1 X1888 Anabaena sp. 2 X1888 497 ' PLATE IV 13' 135' Figure Figure Figure Figure Figure Figure U N O . 4. 5. 6. Plate V Anabaena sp. 3 X438 Anabaena sp. 4 X458 Aulosira laxa Kirchner X438 Calothrix membranacea Schmidle X438 Cylindrospermum minimum 8.3. West X458 Gloeotrichia sp. X438 r / t / [Ills 3.1.25 @ ..v .ro...¢.&....vr. 00...... 8. 9% gee ......r. eta... .. . 0 Figure Figure Figure Figure Figure Figure Figure Figure Figure ‘ Lyngbya X2888 Lyngbya Lyngbya Lyngbya Lyngbya Lyngbya Lyngbya Lyngbya Lyngbya Plate VI aerugineo-caerulea (KUetz.) Gomont aestuarii (Mertens) Liebmann X458 Birgei G.M. Smith X438' contorta Lemmermann X2888 epiphytica Hieronymus X438 hieronymusii Lemmermann X988 putealis Montagne X438 rivularianum Gomont X2888 versicolor (Martm.) Gomont X2888 581 PLATE VI 0's" . . ,. . 17.83.17. [W'WW “- '} ii; 4‘ Figure Figure Figure Figure Figure Figure Figure '\I 0 Plate VII Microcoleus acutissimus Gardner X988 Microcoleus chthonoplastes Thur. X988 Microcoleus vaginatus (Vauch.) Com. X900 Nodularia harveyana (Thw.) Thuret X988 Nostoc linkii var. arvense Rao, C.B. X450 Nostoc paludosum KUetzing X988 Nostoc sp. 1 X988 , Lw'.-=aw , . 583 PLATE VII 1 Tlll ., ....w. e, ...,rur. . Erasers}, Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Oscillatoria Oscillatoria Oscillatoria Oscillatoria X988 Oscillatoria Oscillatoria Oscillatoria Oscillatoria Phormidium africanum Lemmermann X2000 Phormidium ambiguum Gomont X1940 Phormidium angustissimum w. at 8.5. West X2888 584 Plate VIII Agardhii Gomont X1948 amoena (KUetz.) Gomont X988 formosa Bory X988 limosa (Roth) C.A. Agardh okeni Ag. X458 sancta (Kfietz.) Gomont X458 splendida Greville X1978 tenuis C.A. Agardh X1888 . . -_ ._ l_-v-~wse~_.’u‘.m‘gm we, 585 PLATE VIII Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure & Plate IX Phormidium anomala Rao, C. B. X1888 Phormidium jadinianum Gom. X988 Phormidium luridum (Kbetz.) Gomont X2000 Phormidium microtomum Skuja X988 Phormidium minnesotense (Tilden) Drouet X1888 Phormidium molle (Kfitz.) Grun. X450 Phormidium uncinatum (C.A. Ago) Gomont X458 Plectonema notatum Schmidle X450 Plectonema puteale (Kirchn.) Hansg- X458 Plectonema tenue Thuret X458 p0rphyrosiphon fuscus Gomont X988 587 LATE IX p ,, but} 5151;..11. Figure Figure Figure Figure Figure Figure Figure & Plate X Schizothrix friesii (A9.) Gomont X988 Schizothrix fuscescens KUetzing X1888 Schizothrix lacustris A. Braun X988 Schizothrix rivularis (Molle) Drouet X450 Spirulina subsalsa Oersted X988 ‘ | Symploca Kieneri Drouet X988 ‘ T01ypothrix tenuis Kfietzing x450 509 )\ l. \ \s s. e geeemmemsfisarefiwmmea fiflmmmmmgmmmmmwmmwsvwfiewwgmflmM1. I seesaaaaeeeaaeeeflmgl massage... V! \Il'l‘l \QEEEIII I I'll. ...”. PLATE X . ..f .. . ........... . 5J4“ 'l- 1 ........... Cu .. .I . . . . r u . Tllll Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Plate XI Phacus sp. X988 Trachelomonas Trachelomonas _Ch1amydomonas Chlamydomonas X988 Chlamydomonas Chlamydomonas granulosa Playfair X988 Playfairii Deflandre X988 Frankii Pasch X908 polypyrenoideum Prescott Snowii Printz X908 sp. .X1588 Gloeocystis gigas (KUetz.) Lagerheim X90U Gloeocystis vesiculosa Naegeli X900 Ankistrodesmus Braunii (Naeg.) Brunnthaler X458 Botryococcus Braunii Kfietzing X450. firm... . -.w’}'M PLATE X I ..." Figure Figure Figure Figure Figure Figure Figure Figure Figure 1. 2. 3. 4 0 6. 7 Plate XII Chlorella vulgaris Beyerinck X988 Chlorococcum humicola (N589.) Rabenhorst X988 Franceia Droescheri (Lemm.) G.M. Smith X458 Nephrocytium obesum Nest and Meet X458 Oocystis crassa wittrock X458 Oocystis elliptica w. west X458 Oocystis elliptica var. minor Nest and west X1888 Oocystis submarine Lagerheim X988 Pediastrum Boryanum (Turp.) Meneghini X450 m _ 3 ll PLATE XII 5 Figure Figure Figure Figure Figure Figure Plate XIII Pediastrum Boryanum var. undulatum Mills X458 Pediastrum duplex var. rugulosum Raciborski X458 Pediastrum integrum Naegeli X988 Pediastrum integrum fa. glabra Raciborski X458 Pediastrum tetras (Ehrenb.) Ralfs X450 Pediastrum tetras var. tetraodOn (Cords) Rabenhorst X988 Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure 8. 516 Plate XIV Planktosphaeria gelatinosa G.M. Smith X98. Scenedesmus arcuatus var. platydisca C.m. Smith X988 Scenedesmus bijuga (Turp.) Lagerheim X988 Scenedesmus incrassatulus var. mononae G.M. Smith X988 Scenedesmus opoliensis var. contracts Prescott X458 Scenedesmus quadricauda var. quadrispina (Chodat) G.M. Smith X988 Scenedesmus quadricauda var. longiSPina (Chod.) G.M. Smith x450 Scenedesmus quadricauda var. Mestii G.M. Smith X988 Schroederia Judayi G.M. Smith X988 Tetraedron caudatum (Corda) HanSQiPQ x988 Tetraedron duospinum Ackley X980 Tetraedron minimum (A. Braun) HanSQiPQ X900 Tetraedron muticum (A. Braun) Hansgirg X908 517 PLATE XIV , , level... Figure Figure Figure Figure Figure Figure Figure Figure A O Plats XV Trochiscia aspera (Reinsch) Hansgirg X1080 Trochiscia granulata (Reinsch) Hansgirg X988 Trochiscia sp. 1 X1888 Trochiscia sp. 2 X1888 Bulbochaetae sp. 1 X2888 Oedogonium rufescens mittrock X458 Oedogonium rufescens wittrock antheridia X450 Oedogonium sp. 1 X458 Figure 1. Figure 2. Figure 3. Figure 4. Plate XVI Euastrum hypochondrum fa. decoratum Scott and Prescott X458 Staurastrum Manfeldtii Delp. X988 Staurastrum orbiculare var. extensum Nordst. X1888 Staurastrum sp. 1 X988 1.?“er ., Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure 2. 3. 4. 5. 12. _\ 3. 14. 15. 16. 17. 522 Plate XVII Cosmarium angulare var. canadense Irénee—Marie X225 Cosmarium angulosum Brébisson .X225 Cosmarium,81ytii Mills X225 Cosmarium Botrytis Meneghini X225 Cosmarium geometricum var. suecium Borge X225 Cosmarium granatum DeBreb X225 Cosmarium impressulum fa. suborthogonum (Racib.) w. at 5.5. West x450 Cosmarium pseudoretusum Ducellier X225 Cosmarium punctulatum Brébisson X225 Cosmarium reniforme var. elevatum w. and w. X225 Cosmarium venustrum (Bréb.) Arch X500 Closterium abruptium var. africanum Fritsch and Rich X188 Cosmarium vexatum West X588 Cosmarium sp. 1 X225 Euastrum insulare (Mittr.) Roy X225 Staurastrum sp. 2 X225 Micrasterias mahabuleshwarensis var. ringens (Bai1.) Krieg X225 523 PLATE XVII 524 Plate XVIII Figure 1. Dinobryon divergsns Imhof X225 Figure 2. Dinobryon sociale Ehrenberg X225 Figure 3. Dinobryon sociale var. americanum (Brunn) Bachmann X225 Figure 4. Uroglenopsis americana (Calkins) Lemmermann X458 Figure 5. Botrydiopsis arhiza Borzi X458 Figure 6. Chlorallanthus oblongus Pascher X450 Figure 7. Chlorobotrys simplex Pascher X225 Figure 8. Phaeothamnion Borzianum Pascher X225 Figure 9. Glenodinium pulvisculus (Ehrenb.) Stein Figure 14. Peridinium sp. X225 X225 Figure 18. Hemidinium ochraceum Lebander X225 ‘ Figure 11. Peridinium cinctum (Mue11.) Ehrenberg X225 Figure 12. Peridinium inconspicuum Lemmermann X225 ‘ Figure 13. Peridinium willei Huitfeld-Kaas x225 ‘ T | 1 PLATE XVIII Figure Figure Figure Figure Figure Figure Figure 526 Plate XIX Coscinodiscus radiatum Ehren. X588 Coscinodiscus sublineatus Grun. X1888 Cyclotella meneghiniana Kfietzing X1888 Cyclotella compta (Ehr.) Kbetzing Cyclotella ocellata Pant. X1888 Melosira italics (Ehr.) Kfietzing X450 Melosira varians C.A. Ag. X450 _— __——_—- .— .__——._——— .-._. .. u .___ ___— W Lei... £50 527 PLATE XIX o 0 ‘ oqglagtl‘i» era «W'- ‘9. 698149on f. oflw' 0451/ ,‘ o-Wt‘lqfl 9' QMN$£¢§C ”when 0.0.493 0 3's 0.. Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Achnanthes Achnanthes Achnanthes Achnanthes Achnanthes X1888 Achnanthes X1080 Amphora veneta Kfitz X1888 Anomoeoneis vitrea Grun. X1888 Asterionella formosa Hass X758 Caloneis sp. 1 X1888 Cocconeis pedicularis Ehr. X1888 Cocconeis sp. 1 X1888 528 Plate XX exigua Grun. X1888 flexella (K‘otz.) Brun. x1000 minutissima KUtz X1888 linearis (w. Sm.) Grun. x1000 linearis fa. curta H.L. Smith lanceolata var. dubia Grun. .., n—v‘k—l —, —— _—_— —. “may“. ’ « L. ...:Z\ _ \ . 2a zl: \\... . xx 132:. _ ‘1? . . ,2 _ s3 .. 2,,2,,,,,_,_,,,_,,,,.:..:.s.s.\\....\. 5 r... : :5... . £513: \ \ \\ 1...... 23.7.12: : ‘\ \\\\\\\ . /,n .I:.: __ ...: ... o S:.::._;;1_,:: \\ \\\~:: _ C _—.— ———f.// 3 $3 :1: 3— 1.43 . 3.: \ \::.\.\\:_ :1 ./ v... .:::.: 3311:5149 ‘4‘: .1}! —4 233/. . 11 _ l .1 ,1. .7» 61.91,, 937.7, I 4 a 2; l: Coot/$.37, 1: C 337/ 1,233? , . Z 529 PLATE XX Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure 530 Plate XXI Cocconeis placentula var. lineata (Ehri) V.H. X1888 Cymbella cistula var. maculata (Kbtz.) Van Heurck X588 Cymbella affinis Kbtz. x1000 Cymbella turgida Gregory X1888 Cymbella microcephala Grun. X1888 Cymbella ventricosum Kfietzing X1000 Cymbella sp. 1 X1888 Eunotia pectinalis var. minor (KUstz.) Rabenhorst X1888 Eunotia praerupta Ehr. X1888 Fragilaria brevistriata Grun. X1888 Fragilaria construens (Ehr.) Grun. X1880 :1: I / 22, 531 PLATE XXI Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure 12. 532 Plate XXII Fragilaria crotonensis Kitten X588 Fragilaria pinnata var. lancettula (Schum.) Hust. x1000 Frustulia rhomboides var. crassinervia (Breb. ex W. Sm.) Ross X1888 Gomphonema angustatum var. producta Grun. X1888 Gomphonema angustatum var. sarcophagus (Gregory) Grun. X1888 Gomphonema olivaceum (Lyngbye) KUtZ X1000 GPmPhonema olivaceum var. vulgaris Grun. X1888 Gomphonema parvulum (Kfitz.) Grunow X1888 Gomphonema sp. 1 X1888 Meridion circulars var. COHStFiCtum (Ralfs) V.H. x1000 Navicula capitata Ehr. X1888 Navicula cryptocephala KUtz X1800 533 T. I VA X ..L T A L U. 5% Term Law 111! HM Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Plate XXIII Navicula cryptocephala var. veneta (KUtz.) Rabh. Navicula cuspidata Kfitz x500 Navicula decussis Ostr. X1888 Navicula heufleri var. heufleri Grun. X1000 Navicula heufleri var. leptocephala (Breb. ex Grun.) Patr. x1000 Navicula lanceolata (A9.) KUtz x1000 Navicula minima Navicula mutica Grun. X1888 Navicula mutica Navicula mutica Grun. X1888 Navicula mutica Navicula pupula Hust X1888 Navicula pupula Meyer X1888 a 534 X1808 Grun. X1888 var. Cohnii (Hilse) KBtz x1000 var. undulata (Hilse) var. tropica Hust X1888 var. mutica (Krasske) var. capitata Skv. and | l | I 535 PLATE XXIII ny' . ’9‘— Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure 3‘4. 18. 12. 13. 14. 15. 536 Plate XXIV Navicula pupula var. pupula Kfitz X1888 Navicula pupula var. rectangularis (Greg.) Grun. x1000 Navicula radiosa var. tenella (Breb. ex KUtz.) Grun. x1000 Navicula radiosa KUtz x750 Navicula hungarica var. linearis Ostrup X1888 Navicula secreta var. apiculata Patr- X1088 Navicula tripunctata (O.F. Mull.) Bory X1888 Navicula virudula var. rostellata (KUtz.) Clere X1888 Navicula sp. 1 X1888 Navicula sp. 2 X1888 Navicula sp. 3 X1888 Navicula sp. 5 X1888 Navicula sp. 4 X758 2 11M :19 lreb. hit. I l 537 PLATE XXIV - N N ///(/////////{//A.\\\\\\\\\\\ W Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Neidium affine Neidium dubium (Ehr.) Cl. Nitzschia Nitzschia Nitzschia Nitzschia Nitzschia Nitzschia Nitzschia Nitzschia Nitzschia Nitzschia Nitzschia Nitzschia 538 Plate XXV (Ehr.) Pfitz. x1000 x1000 acicularioides Hustedt X1888. angustata var. acuta Grun. X758 clausii Hantzsch X1888 filiformis (w. Sm.) Hust x1000 frustulum (KUtz.) Grun. x750 kutzingiana Hilse X1888 linearis (A9.) Mm. Smith X588 palea (KGtz.) w. Smith x1000 romana Grun. X1888 subcapitellata Husteds X588 sp. 1 X1888 sp. 2 X588 carotene-o-a-uu. cooro-oo. 32 L3,: 3: . Tllllllll arson-o- :oouon-nnsc-o.oooouuaunoancuooooaoooo a e on U 539 gig PLATE XXV .g,.__,.,.__._..=,5.552% Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure Figure 9. 10. Plate XXVI Nitzschia sp. 3 X1888 Nitzschia sp. 4 X1888 Pinnularia sp. 1 X758 Pinnularia biceps Greg X1888 Pinnularia borealis var. rectangularia Carlson X1888 Rhopalodia gibba (Ehr.) o. Mull. x500 Stauroneis phoenicenteron fa. gracilis (Ehr.) Hust x500 Surirella angusta KUetzing X1888 Synedra famelica KUtZ. X1888 Synedra incisa Boyer X1888 Synedra rumpens var. familiaris (KUth) Hust X1008 Synedra ulna (Nitz.) Ehr. X588 Tabellaria fenestrata (Lyngb.) Kbtz. X5DO PLATE XXVI assesses ass as l a :3: 9: 25 5 _ r 2:. Res J. Ti ... as. ,_,,//2/2 Talia? 4 r-"I'-"- -- --. HillNWIHIWIIWINHIMllH 293 03070 9129 31 “11111111