3453 ..1:1.H...HMM...111.11. 4.. fix. .1:. 1. - .P‘u‘boo r6111.- c‘hflnn‘vo . c n.» .. .- .. 1 . . . .. . .:.. .1. . - . . _, . ..: . :. 1. . . . . h .: mono-1M“! can. 1 -w . ... . . . . o 2 . 2.: . .. .. 1... .. h .1. ..:.HnWLHw‘Q‘JIF-: . 0‘ I 9 n I | 1 .‘ . 1 . . I .: 1N: . : 1 1.: Rump-4.. .. . Q- Q C I 0v. ‘ O 13.5....“ . . z.o-v.ttolco.1 I.» 1:. 1.1.1....:...-1..... ha... .L..: 1...... . .1 1 us; ulna: KY... .1...-..:1.1._..1...1u....:.:m1..1. ... .. . . w . n. . - . . - . L. .- ..nfiwmn .....:...:..-1.. he: 1.1“»... . .1 $534. . . \ v1 .‘fl. .un¢ . 4 L.) . . . ..:... :1 ..zuw. . 1 . . . 1 .1 0 ”317521: 3‘1.’ , . 15' l . .1 . guy-WA“. «mu-“wt. . . kfimlmbauu-H tannin . . ”WW1. . ..:...wfiiflmmufismfi 1.! 11.. .1 5.1.11: 91?... . .. .. clad.“ 1.....a1M1nuf . .1 ..:. . . 1. :.-1~...u:.1: 2.11.6. Via...» Rummy”... «wax. . Wt;....-..W»u...1..:1n. Chou... 11.1.«1wc...:.1......1.a. .. . . . :1 ..:“...hrbmfld . . . . . . . . ..1 gr- 1 3-2;}: a, .1 ,‘. , if. ‘9 «#13111: . ‘10:} 1:11 i a I. . 1 .. . .1..n...~...r.: . a - QUIVV‘AN: a... 11" . . f : . ‘1. A . 1 I 0 A v! I O L a Q ~ . A At A 4 o u d... W \< .11 - I .. . . : .. . . .- .1 1 t D n. 1 .. . . .. . 0 0| . 1 . . o v. . . . H Oh'it . o L V . “‘| i. a b 1 .- 1 .. q 1.. u . o . 11.6.91 :0 0114011.?!“ . ... . . . . . 1.. 15.qu 1... . . : .. . . h. 1.1.111.“ .I . -. . _ .. . . 1. :. - . . . . ‘11.“ . . .. .. . .. . . . 1.: . . . - . . . . ”w: ..: : . . , .. . .. .. : . A u m1 c Q I I C I h a I . 1 .t .. 1 . . . p . , '1' 1. v :11 9‘. I s .1 .1- .21 rfic. . 1~ : 1:; 1 s. ’l ‘3 a . 1_ .1. v v a 1 i . . 4.141.. .. b3 lit. 110'. 4 . 1r1mwfi1m £1.24 .. . m. .1. ..1.1.-»......-:.¢H.N.fi. . . :11 5.. .1. .. . «kt . u 1. . . . 1! .vhzhtln: v o ..:o 1(‘1 Wk... 1111.. o u. 1 3333 . 0‘1: . . '1 . . . 14.111". . ... . . . .. r .. ”2 . . Q .17.. : . . . . . . . .1 . .. .1,.. I. . -. I .. I u v . . . 1 9:11- 4. V . 111143. z; . .1 F... . Vito. .1315. . 3;; “13.1 - .111: 11 (1111111 «4:51!- .. 1.. '90 1'11: .1! ‘l A lllnffi 0 \ .Vozf Li'vo.lCva - 1.»...1.\11I11. 11141111113 1 1h-11. :1- ...- . -. ..14..1:1-. 1.11-1.11. 1.111.. 1.111 1*- 11.1...~.11-..1.J.1.. I... .111- .11111: 3 11.141. 1112....-. .. 1:.- . 71'“ c4 .11... A! Ll \ “.11.... 11.1111 1 111.1 1 1- 11. b1 . 1 11411- 111 .111 9.41:. Sud-.1111 ....111:s.1.11-1r 1.1. ...1. . .. :uu11-H1u.1.“1: 1. .11-1n- 11111111111121 - I . “(11411133051011 - 1 :1 . .1. .0 11.1145 II‘CWU'UM ..1I1lA . .lltv1wfif I1! . . ...1- .u . . con .. - '1 . ¢ - . ~n ..: . .1 I. . 1 ATV? -. ..:-1‘ : 10.60. c ..- . . - 1 .. . . - .1 . 13110 1.1.9.1 .I -. 1:11:41 : . . . 1 . . . .. .. . .:..-.-..1:1:-111.1.:. ' 11:14 1 1 .1 . u 1 1 1 .. .11.nv 1 . (U! c 31.11.. - . .. . u . a 1 1 1 1.1.1.011 . 1.. . . . l 1:. 111-111111111-.1..11. - 1! 1 . . 1..1h1.o.u.al-.:.<1.nf\h.l.11 . 0141111. Un.¢1.,1.1 )0... , . . I Iv ‘t 1 t , . o . 1- 1.11.- 11u1vfl11111..‘u.u:.111.1.L.-J. [’ “|l‘ .o-‘1 ‘1). .0 I. 1111;: .1311 1-3. 11 1-,. . . .11... {.1 '1’ «.1. tt‘U~ - ~. 1 . n 1 (1.1 .2 . 1. 1.1411 1. .hll.F».:1.- .. .. . 1 . : .111» $1. . 10 0:1 . . _ :1! 31.1. . . . . . z . 1 ..hfs,;\- OTI s u . - . 1... .- .- $11.81.: 111 It. (1H1 “2.11..“ to. . . . -. . . : . 1 . . . .1113 \ 11130.1 )1 . .-. . . 1 . . . . - 1 1 0 ul .11WV' \ o . u .v 1- :o : . ..1 .~: 0. . . - u . . ‘9 ..I . : . . - . 111'11111‘L-1' ”fluvial . 1 : . .. . J : . . - n . ..c. 1 f . ..u : fidyflfiw ..I- jfl-fi-cilfltl..4 .11."..1). : 11.1. . - . 1 v1.16. - . . ..: . . . . . . .-.. . . . 111-: ..1 -- . 51-11 .1... 1 if“? ..:-1 - . . . .. . .. . u .- Iv; :‘1 . .1 1 meets , 1‘ l 75"“ #5 fl. tre‘rr " Liuugwsfid I resin: ‘4' irate L Unwmufy ”TI This is to certify that the thesis entitled FIRST-YEAR RESPONSES OF WILDLIFE AND WILD- LIFE HABITAT TO SEWAGE SLUDGE APPLICATION IN A NORTHERN HARDWOODS FOREST presented by Anne Husted Thomas has been accepted towards fulfillment of the requirements for M.S. degree In Fisheries and Wildlife Date May 6, 1983 0-7539 MS U is an Affirmative Action/Equal Opportunity Institution MSU RETURNING MATERIALS: Place in book drop to LIBRARIES remove this checkout from __. your record. FINES will be charged if book is returned after the date stamped below. a.“ 4 1‘ -. 5-: gr 9*” ~_.. ..:/4"? "u it in r“. 0 /§/€’) ~ for: d FIRST-YEAR RESPONSES OF WILDLIFE AND WILDLIFE HABITAT TO SEWAGE SLUDGE APPLICATION IN A NORTHERN HARDWOODS FOREST V /? by Anne Husted Thomas A THESIS Submitted to Michigan State University . in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Department of Fisheries and Wildlife 1983 ABSTRACT FIRST-YEAR RESPONSES 0F WILDLIFE AND WILDLIFE HABITAT T0 SEWAGE ' SLUDGE APPLICATION IN A NORTHERN HARDWOODS FOREST BY Anne Husted Thomas A single application of sewage sludge was applied to a 50-year old northern hardwoods forest in Montmorency County, Michigan, in July 1982. The application technique required construction of S-m wide trails at 20 m intervals through- out the forest. Vegetative community composition and structure were analyzed, small mammal communities monitored via live-trapping, and red-backed salamanders censused on 9 study plots (3 with trails, 3 with sludge application and trails, and 3 controls). First year results indicated that tree seedling densities were lowered in trails by trail construction and use, and in forest interiors by sludge damage. Vertical vegetative cover was reduced in tall strata by tree removal for trail construction, and in low strata by sludge damage. Trails appeared to provide suboptimal salamander above-ground foraging habitat; but did not affect small mammal habitat use. Peromyscus mice increased in number on sludge—treated plots, compared to trail-only and control plots, presumably due either to differential survival or to a behavioral re- sponse to some change in their environment. ACKNOWLEDGEMENTS There are two people without whom this thesis would not have been written. I am deeply indebted to my advisor, Dr. Jonathan Haufler, for his expert guidance and for his faith, support, and friendship. I would also like to thank my father, Dr. William Thomas, whose fine example as a naturalist, combined with loving encouragement were invaluable in inspiring my work. A field study could rarely take place without the help of many people, but in this case a truly herculean task was accomplished only with the concerted effort of a uniquely hardeworking, cheerful field crew. I extend my deepest appreciation to Jack Dingledine, Linda Doolittle, Ginny Lilly, Elena Seon and Dave Woodyard for the many days and nights they gave so willingly to my project, and for the friendship which made the work more enjoyable. I thank the members of my committee, Dr. Ben Peyton and Dr. Donald Straney, for sharing their enthusiasm, expertise, time and support. They were everthing one hopes for in a committee, and more. I am also grateful to Drs. Thomas Burton and Phu Nguyen, who contributed valuable advice and enthusiasm. Dr. Daniel Talhelm has devoted much energy and a listening ear. ii Special thanks are due Rique Campa, Stan.Koster, Dave Gordon and Elena Sean, and the many others whose affection and friendly criticism.and support have en- riched my years at MSU. My friend Dave Luukkonen has contributed immeasurably in time, energy, critical advice and kind understanding, and has had a major influence on the completion of this thesis. . Thanks, finally, to Ms. Susan Hazard for her expert typing. This project was funded by the U.S. Environmental Protection Agency. iii TABLE OF CONTENTS Page LIST OF TABLES ...................................... .v LIST OF FIGURES ..................................... viii INTRODUCTION ........................................ 1 OBJECTIVES .......................................... 7 SITE DESCRIPTION .................................... 8 METHODS AND MATERIALS ............................... 12 Experimental Design ............................ 12 Trail and Sludge Treatment ..................... 12 Vegetative Community Composition ............... 16 Vertical Vegetative Cover ...................... 17 Annual Plant Production ........................ 18 Small Mammal Populations ....................... 19 Data Analysis .................................. 21 RESULTS ............................................. 24 Vegetative Community Composition ............... 24 Foliage Height Diversity ....................... 44 Plant Annual Production ........................ 44 Small Mammal Community ......................... 48 Salamander Populations ......................... 54 DISCUSSION .......................................... 56 Vegetative Community Response .................. 56 Small Mammal Response .......................... 63 Salamander Response ............................ 69 SUMMARY AND RECOMMENDATIONS ......................... 71 LITERATURE CITED .................................... 75 APPENDIX ............................................ 80 iv LIST OF TABLES Number Page 1 Mean element concentrations in wet sludge from Rogers City, MI, and mean loading levels applied to the soil on the northern hardwood study site, Montmorency County, MI in July 15 1982 ............................................ 2 Density (stems/ha) of all woody plants in entire plots (interiors and trails) per size class: for controls, plats with trails, and plots with trails and sludge application in Montmorency County, MI, July, 1982 .............. 25 3 Density (stems/ha) of each species in the O-BOcnn size class in interiors: for controls, plots with trails, and plots with trails and sludge iggéication, in Montmorency County, MI, July 27 4 Density (stems/ha) of each species in the 0- 30 cm size class in trails: for controls, plots with trails, and plots with trails and sludge application, in Montmorency County, MI, July 1982 ....................................... 28 5 Density (stems/ha) of each species in the 30¢nn- l m size class in interiors: for controls, plots with trails, and plots with trails and sludge application, in Montmorency County, MI, July 1982 ....................................... 29 6 Density (stems/ha) of each species in the 30¢nn- l m size class in trails: for controls, plots with trails, and plots with trails and sludge aggéication, in Montmorency County, MI, July 31 7 Density (stems/ha) of each species in the la:- 2 m size class in interiors: for controls, plots with trails, and plots with trails and sludge application, in Montmorency County, MI, July 1982 ................................... 32 3 Density (stems/ha) of each species in the >2 m tall, <10 cm dbh size class in interiors: for controls, plots with trails and plots with trails and sludge application, in Montmorency County, MI. July 1982 .......................... 33 Number 10 ll 12 13 14 15 16 17 Density (stems/ha) of each species in the >2 m tall, >10 cm dbh size class in in- teriors: for conjrols, plots with trails, and plots with trails and sludge application, in Montmorency County, MI, July 1982 ........... 34 Density (stems/ha) of each species in the 0-30 cm and 30 cm - 1‘m size classes, in interiors and trails, for plots with trails- only, Montmorency County, MI, July 1982 ....,... 36 Density (stems/ha) of each species in the 0-30 cm and 30 cm - l'm size classes, in interiors and trails, for plots with trails and sludge application, in Montmorency County, MI, July 1982 ...................................... 37 Foliage height diversity (Shannon Wiener Index values) for control plots, plots with.trails, and plots with trails and sludge application, in Montmorency County, MI, July 1982 ........... 45 Above ground net annual production (kg/ha) <2un for controls, plots with trails, and plotS‘ with trails and sludge application in Montmorency County, MI, August 1982 ............ 46 Above ground net annual production (kg/ha) <2m, from interiors: for controls, plots with trails and sludge application in Montmorency County, MI, August 1982 ............ 47 Above ground net annual production (kg/ha) <2 m, from trails: for controls, plots with trails and sludge application in Montmorency County, MI, August 1982 ........................ 49 Total small mammals known to be alive in August 1981, in controls, plots designated to have trails, and plots designated for trails and sludge application in Montmorency County, MI ... 50 Average number of small mammals known to be alive in August, 1981, major species only, in controls, plots designated to have trails, and plots designated for trails and sludge application in Montmorency, County, MI ......... 51 vi Number 18 19 20 Total Small mammals known to be alive in summer, 1982, by species, in controls, plots with trails, and plots with trails and sludge application in Montmorency County, MI Average number of small mammals known to be alive in summer, 1982, all species combined, in controls, plots with trails, and plots with trails and sludge application in Montmorency County, MI ....................... Average number of small mammals known to be alive in summer, 1982, major species only, in controls, plots with trails, and plots 'with trails and sludge application in Montmorency County, MI ....................... vii .52 ...53 ...55 Number LIST OF FIGURES Mmp showing location of study site in Mbntmorency County, MI ...................... 9 Average precipitation and temperature, by 'month for normal period and study period, 1981-1982, Atlanta, MI Study plot arrangement, northern hardwoods study site, Montmorency County, MI .......... 13 Frequency of commonly occurring herbs and shrubs (Z of quatrats in which the plant occurred) in control plots, plots with trails, and plots with trails and sludge application, Montmorency County, MI, July 1982 (X with SE) ....................... 38 Percent vertical vegetative cover in 4 height strata in entire plots: for control plots, plots with trails, and plots with trails and sludge application, _ Monomorency County, MI, July 1982 (X with SE) .................................... 40 Percent vertical vegetative cover in 4 height strata in forest interiors: for control plots, plots with trails, and plots with trails and sludge application, Montmorency County, MI, July 1982 (X with 42 SE ......................................... Percent vertical vegetative cover in 4 height strata in application trails: for control plots, plots with trails, and plots with trails and sludge application, ggntmorency County, MI, July 1982 (X with 43 viii INTRODUCTION Sewage waste disposal poses a growing problem for many municipalities. Technological advances can only partially solve these problems by modifying processes to reduce the amount of waste generated and to make it less harmful to humans and to the environment. Advanced secondary sewage treatment uses filtration and aerobic or anaerobic bacterial digestion to break down organic material to its inorganic constituents. The process destroys or immobilizes most toxins, pathogens and parasites (Sopper and Kardos 1979). Much water can be reclaimed from sewage, but the remaining solids must be dealt with. Final sewage solids, called sludge, can be disposed of by: (1) discharge into rivers, lakes, or oceans, (2) incineration, (3) landfill, or (4) land application. Federal clean water criteria dictate against sludge disposal in any manner that might affect the inland or coastal navigable waters of the United States (Schmid et a1. 1975). Offshore ocean dumping is un- desirable, since sludge constituents reduce seabed oxygen and in other ways affect benthic organisms (National Academy of Sciences 1978). Incineration leaves noncombus- tible material which must be disposed of, wastes raw materials, and creates air pollution (Turk et al. 1972, National Academy of Sciences 1978). Landfill, if properly done, can be a safe sludge disposal method (National Aca- demy of Sciences 1978). As with incineration, however, landfill wastes raw materials. In addition, safe land- fill sites, with no threat of groundwater contamination, are scarce. Burial necessitates removing existing vege- tation and stockpiling an amount of excavated material equal to the volume of sludge to be buried. Stockpile sites also will be temporarily devoid of vegetation (Schmid: et a1. 1975). Thus, available sites meeting all environmental and economic criteria for landfill are quite limited.' Sludge disposal by land application is the remaining alternative. Terrestrial ecosystems can act as living filters for the compounds and elements in sludge (Sopper 1975), while sludge-borne nutrients can promote plant productivity. Sludge or sewage effluent has been applied to agricultural lands, often resulting in increased yield and higher nutrient content of crop plants (Sopper and Kardos 1979). However, for human health and aesthetic reasons, and because they are less effective in retaining the mineral elements applied (WOodwell 1977), agricultural systems are not always the ideal candidates for sewage sludge disposal. Forests, in contrast, are generally considered stable, nutrient-conservative ecosystems with greater potential to act as living filters of mineral enriched discharges (Sopper 1975, WOodwell 1977). Forests are attractive as potential sewage disposal sites because of their eco- system.longevity, stability, and their tendency to be nitrogen-limited (Wollum.and Davey 1975, Bormann and Likens 1979). Sewage effluent or sludge applied to aggra- ding northern hardwood forests has been shown to achieve significant nutrient removal, primarily by the ecosystem's plant communities (Woodwell 1977, Sopper and Kardos 1979). Sludge fertilization can result in increased forest pro- ductivity, particularly by trees (Saffort 1973, Weetman and Hill 1973, Woodwell 1977, Sopper and Kardos 1979). However, fertilizer effects on forest plant and animal community composition in terms of numbers of individuals, dominance, and structure can alter the integrity and stability of the ecosystem.(Weetman and Hill 1973), thus pointing to the need for ecosystem study and monitoring. Past studies of forest fertilization effects have concentrated on tree production, and usually have dealt with tree plantations and coniferous forests. In the de- ciduous forests studied, responses of tree growth have ranged from. negligible growth increases in 50-70 year old stands (Koterba et a1. 1979, Sopper and Kardos 1979, Stone et a1. 1982) to threefold growth increases compared to controls in a younger stand (Sopper and Kardos 1979). There is some evidence that sludge or effluent fertili- zation initiates plant community composition and structure changes, with a general acceleration in canopy closure, an increase in leaf area index and in herbaceous cover, a decrease in midstory cover, increased dominance by shade tolerant understory species, and a decline in plant species diversity (Anthony and weed 1979, Sopper and Kardos 1979). The sewage sludge application process for a mature forest may involve clearing narrow (5m.wide) application trails at intervals throughout the forest in order to allow access by a spray vehicle.‘ This procedure would produce a unique forest thinning effect. The influence of this particular thinning pattern on forest communities has not been investigated, either alone or in conjunction with sludge fertilization. One would expect, however, the invasion of post-disturbance plant species,(e.g. brambles, cherry) a flourish of germination and growth by species intermediate in shade tolerance, and stump sprouting by species that characteristically use that form of re- generation. Very little work has been done on animal community responses to forest sludge fertilization. Bierei et a1. (1975) found that Peromyscus leucgpus population densities on effluent and sludge-injected effluent treated areas were significantly greater than control area densities in the fall, but not in spring. The authors attributed this to increased herbaceous growth following fertilization, which improved summer food and cover resources that were unavailable in winter. WOod and Simpson (1973) conducted pilot studies on sewage effluent forest irrigation effects on wildlife and wildlife habitat, and their data suggested no difference in P. leucopus populations between treatment and control sites. They noted greatly enhanced herbaceous vegetation growth due to sewage treatment, theoretically improving habitat for herbivores, which they did not mmnitor. Sludge treatment in a 40-year-old Douglas fir forest, according to early reports, resulted in lower herbivore numbers on treated plots, apparently due to reduction of the animals' required food and cover plant species by sludge treatment (West 1981). Woodyard (1982) monitored small mammal populations for 2 years following sludge fertilization of a 4-year-old jack pine clearcut. He found increases in small mammal species diversity and foliage height diversity on treated plots, with 3 small mammal species showing increased coloniZation on treatment plots. Although research has not examined mammal responses to the forest thinning pattern created by cutting appli- cation trails, more extensive thinning or clearcutting in eastern deciduous forests has prompted herbivore in! crease and immigration and changes in numbers within. granivore-omnivore species (Krull 1970, Kirkland 1977). A study of mammal use of 15-mrwide undisturbed winter roads and surrounding forest in Canada revealed increased Microtus captures in the predominantly grass and sedge dominated roads, and fewer Clethrionomygggapperi captures on roads than in forest (Douglass 1977). The effects of forest fertilization and/or thinning on reptile and amphibian population size and distribution have not been documented. Thus, the research to date leaves many questionstxzbe answered concerning sludge fertilization effects on forest ecosystems. Evidence does suggest that such a manipu— lation can potentially alter forest plant and animal com- munity composition, structure, and dominance and hence the ecosystem's integrity and stability. Depending on the goals of forest and wildlife managers, the effects may be positive or negative, and in either case society would benefit greatly by increasing its understanding of and ability to predict the short and long range environmental soundness of this form of sludge disposal. OBJECTIVES This study was undertaken with the primary objective of determining the first year impact of sewage sludge fertilization of a northern hardwoods ecosystem, on various plant, small mammal, and terrestrial salamander communities. Specifically, the responses of plant community structure and composition, plant current annual pro- duction, small mammal community size and composition, and terrestrial salamander populations to sludge application were investigated. SITE DESCRIPTION The area studied was part of the Thunder Bay River State Forest in Montmorency County, northern lower Michigan (Fig. 1). The site is an approximately 25 ha, 50-year old northern hardwoods forest located 16 km north- east of Atlanta — roughly halfway between Gaylord and Alpena. It occupies the SW % of the SW % of section 19, and the NWkof the NW'k of section 30, T. 32 N.., R. 2 E., Montmorency Comty. The land is flat to gently sloping. Soils were of the Mancelona, Melita and Menominee series, which are deep, well-drained soils in sandy material (MSU Forestry Dept. , unpubl.-~data. Elevation is approximately 300m above sea level. 7 Sugar maple (,Acer saccharum) and red maple (Acer rubrum) were the dominant overstory tree species, with beech (Fagus grandifolia), basswood (Tilia americana), birch (Betula lutea and Betula papyrifera) , hemlock (Tsuga canadensis) , red oak (Quercus rubra) and white ash (Fraxinus americana) as subdominants.(MSU Forestry Dept. unpubl. data). The study area was located just north of the Polar- Equator Trail, which marks the 45th parallel. Atlanta, Michigan (44° 59' N, 84° 10' W) and has a climate typical Montmorency County Figure 1. Map showing location of study site in Montmorency County, MI. 10 of northern lower Michigan, with long, severe winters, short, cool summers and an abbreviated growing season. The average annual precipitation (including melted snow) is 76.66 cm. The mean annual temperature is 5.830 C. Average temperature extremes range from -7.4°C in January to l9.6°C in July (NOAA 1981) . Average precipitation gradually declines from a monthly high of 8 cm in June to a February low of 3.4 cm. During the study period (August, 1981 through August, 1982), temperatures closely followed the average except during the winter, which was unusually cold. Precipitation from fall to January tended to equal or exceed the normal, but winter and spring levels were abnormally low (Fig. 2) (NOAA 1982). 1 J- inJ 53 Si" 3‘- “a .3, ET 5 '3 5 2 < a ICIOI a I < 3 II. N "0qu . 'J a II. a 2 IIIIIIIIIIIII 0 Cl) 8 < 2 a o o h a r v 'n N .- 8::=“-v«r????? (we) uonoudiaud (0.) 01")!"de Figure 2. Average precipitation and temperature, by month for normal period and study period, 1981-1982, Atlanta, MI. METHODS AND MATERIALS Experimental Design The study was organized as a completely randomized de- sign. The study area was divided into 9 study plots, each 1.5 ha in size and separated from each other by at least 20u1 buffer zones. In order for the sludge application vehicle to gain access to the interiors of the study plots, S-m wide application.trails were needed, running the length of each plot and situated at 20o: intervals. Be- cause these trails were expected to have a treatment effect independent of the sludge effect, the study was designed with 2 treatments and a control in orderto be able to separate trail effects from response to sludge application. The 9 study plots were randomly divided into 3 plots with trails-only treatment, 3 plots with trails and sludge, and 3 control plots which received no manipulation at all (Fig. 3). Trail and Sludge Treatment In September 1981, application trails were created on the 6 treatment plots, along with an east-west access trail. All trees and shrubs greater than Zrn in height 12 l3 _ ...-IIIIIIIIQIQIIOIIIII S . T ..-..-...------------------------I nfl oflr mmum o- nu 3 M03 w..— c a... . I ' ' '- u n» J rn hardwoods studv h N e .... at a r 0M“ m. nv“ .m .t s t . nm s as T. e coy mm vie am .8 m mm H. 1% w BM” n. v., Ade ut r71 cos M . fl “3 n o e .. u n» .5 .1 F l4 removed from.the trails by felling with chain saws and skidding cut material to a site outside the study area. Sludge application, scheduled for fall 1981, was post- poned until summer 1982. In late June and early July 1982, each sludge treatment plot received approximately 14 metric tons (224,601 liters) of anaerobically digested, municipal sewage sludge from.Rogers City, Michigan. Three tanker trucks, making repeated trips, transported the sludge to a field near the study area. Sludge was trans- ferred from.these trucks to a smaller tank pulled by a tractor originally designed for logging operations. The tank sprayed sludge onto the adjacent forest strips, designated as "interiors,' as it moved slowly along the application trails. In order to achieve the desired nitrogen loading level on the forest floor, the application vehicle had to make several passes around each interior. Application trails themselves did not receive sludge. Application was accomplished in 2% weeks. The U.S. Forest Service - MSU Cooperative Analytical Laboratory analyzed sludge samples to determine element content and loading levels, which are listed in Table 1. Concentrations reflect the fact that this was "clean" sludge, from a nonindustrial source, with very low levels of trace elements - well below the maximum metal limits allowable for sludges used on food crops (Chaney 1973). ,Heavy and trace metal loading levels were low, while 15 Table 1. Mean element concentrations in wet sludge from Rogers City, MI, and mean loading levels applied to the soil on the northern hardwood study site, Montmorency County, MI in July 1982. Chemical Loading levels goncentration (X kg/ha for Element (X for 3 plots) 3 plots) Solids (%) 5.04 9210 Nitrogen (%) 0.427 783.1 Phosphorus (%) 0.21 383.7 Zn (ppm) 47.63 8.60 ca (ppm) ‘ ~ 0.42 0.08 Mn (ppm) 9.18 1.66 B (ppm) 1.50 0.27 Fe (ppm) 2568 465.9 A1 (ppm) 440.7 79.80 Mg (ppm) 275 49.84 Cu (ppm) 59.7 10.82 K (Ppm) 65.4 ' 11.89 Ca (ppm) 2781 503.0 Ni (ppm) 1.17 0.21 Cr (ppm) 3.22 0.58 Na (ppm) 102. 4 18.57 16 the application rates of nitrogen, phosphorus, calcium and potassium.were high and are comparable to high conven- tional fertilization treatments (MSU Forestry Department unpubl. data). Vegetative Community Composition Vegetation sampling used a stratified random sampling design since plant populations were expected to vary in a predictable pattern among the application trails and the interior forest strips between trails. Trails were sampled as l stratum and interiors as another, in order to keep variation within strata small and avoid in- flating the sampling error of the estimated population mean (Steel and Torrie 1960). In addition, separate stratum means could be estimated and compared to each other (e.g. sludged interiors vs. unsludged interiors vs. controls). Plant community composition was characterized using nested quadrats, placed according to the above-mentioned stratified random sampling design. Woody plants were counted and recorded, by species.ixi each of 5 size classes: 0-30 cm tall, 30 cm - 1m tall, 1m- 2m tall, >2m tall'but <10 cm dbh, and >2m tall and >10 cm dbh. The height classes chosen conformed to the natural life forms which occurred on the site, and to correspond with the vertical cover heights also measured - heights 17 considered to be of particular importance to the small mammals océupying the habitat (M'Closkey and Lajoie 1975). Quadrats (plots) used to sample the smallest size class (0-30 cm) were In X 10111, class II (30 cm - 1m) were 2m X 20111 in interiors and controls and 1m X 30111 in the trails, classes III (1m - 2m) and IV (> 2m high, <10 cm dbh) were also 2 m X 20 m, and class V (>2 m high, < 10 cm dbh) were4 m X 20 111. Long, narrow rectangular plots were found to be most effective, since much of the vegetation occurred in a clumped distribution. Quadrats were randomly located in trails, interiors, and controls. Trail quadrats were placed lengthwise along the trails, while interior quadrats angled across the interiors in order to fit 2001 plots into a 15 mrwide interior. Frequency of herbaceous vegetation was recorded, by species, using 2m X 5m quadrats.‘ Vertical Vegetative Cover The line intercept method (Gysel and Lyon 1980) was used to estimate vertical cover and foliage height diversity. All vegetative cover 1 cm or greater intercepting an imaginary vertical plane rising from 1 edge of a 20 m-long tape was recorded. Gaps of less than 10 cm were ignored. Cover was measured for each of 4 height strata known to be important to small mammals: 0-10 cm, 10-30 cm, 30 cm - 2pm and >21n (M'Closkey and Lajoie 1975). Cover lines were 18 randomly located in control and treatment plots, and in treatment plots they were placed so that they ran across a trail and an adjacent interior. Cover across the 15u1 wide interiors was recorded in Sui segments, so that an edge profile could be constructed. Segments ad- jacent to a trail were expected to show an edge effect. Vegetation measures were taken during the last week in July, 1983, after full leaf-out but before senescence had led to significant leaf loss. Annual Plant Production To estimate primary production below 2 m in height. samples of above-ground vegetative growth to up to 2 m were collected. Quadrats 35m x 15m were randomly located in control plots. In treatment plots, 55m x 20m plots were randomly located across plots so that they spanned an entire interior (15 m) and an adjacent trail (5 m). Within a quadrat all living herbaceous vegetation was clipped, as was all current annual growth from living woody plants, from.ground level to a height of 2 mm Tissue taken from interior strips was kept separate from.that collected in trails. Seven categories of vegetation were chosen, based on consistent abundance throughout all study plots: Hop- hornbeam (Ostrya virginiana), beech, white ash, sugar maple, and bracken fern were segregated into individual groups. All other woody species were combined (e.g. red 19 oak, red maple,.basswood) into a single group, and all herbaceous Species were combined together. Plant production above 2 m.in height was not collected, since it was assumed that such material would be beyond the reach of foraging herbivorous mammals expected to inhabit the area. Vege- tation was collected during the last week in August, 1982. Samples were placed in paper bags, oven-dried at 60°C until they no longer lost weight (@ 24 hr), at which time dry ' 'weights were recorded. Small Mammal Populations Small mammal populations were monitored by conducting several periods of live-trapping, each lasting for 5 con- secutive days and occurring once per month. In mid-August 1981, a single 5-day trapping session was conducted in an attempt to gather pre-treatment, base- line data on the study area's small mammal community. A 5 x 5 grid of trap stations was centered within each study plot. Stations were 15 m apart and had a single Sherman live—trap (H. B. Sherman Co., Tallahassee, FL) (13 x 13 x 38 can. Bait consisted of rolled oats, raisins, and anise extract. Traps were left open throughout the 5-day period, and were checked and re-set each morning. All newly cap- tured animals were marked with ear tags or toe clipping; and for each capturedindividual ID, species, sex, relative age and trap station were recorded. 20 Trapping resumed in May, 1982, after trail cutting but before sludge application. In order to accommodate the high mammal populations indicated by the previous August's results, and also to standardize methods with concurrent trapping on 3 other sites as part of a larger project, trapping methods were revised. In 1982, 6 x 7 trapping grids were used, with trap stations 10 m apart and 2 Sherman traps per station. One half of the traps were placed in trails and 35 located in interiors, in order to check for differential use of the habitat. Each trap was baited with whole oats, animal fat and anise extract and equipped with cotton nest material. The June 1982 trapping period was abandoned due to sludge application, but trapping resumed in July, 2 days after sludging was completed, and a final period was conducted in mid-August. Terrestrial salamanders were censused along belt transects using the method described by Burton and Likens (1975). On rainy summer nights after litter and under- story plants are well soaked, terrestrial salamanders such as the red-backed salamander (Plethodon cinereus) can be found foraging above ground on litter, plant leaves or stems up to 2.8 m above ground level. Randomly located belt transects, 2 m x 95 m, each spanning a plot's in- teriors and trails, were marked out in advance with string. 0n appropriate rainy nights, beginning 1 hr after sunset, teams of observers using bright flashlights slowly walked 21 transects recording each salamander observed in the transect. 'Each team of observers worked a pair of tran- sects: l transect in a trail-only plot and 1 in a sludge and trails plot. An equal number of transect pairs began with observation of a sludge plot and a trail-only plot, so as to minimize any effect from time or observer fatigue. Data Analysis Since the study was designed around 3 types of treatment plots (the 2 manipulations: trails-only, and trails and sludge application, and the controls), l-way analysis of variance was used to compare vegetation data and identify significant differences among treatments (Steel and Torrie 1960). In the seedling size classes, variances often differed enough to be classified as hetero- geneous when examined with Bartlett's test for homo- geneity of variance. Heterogeneous data were subjected to a log transformation, which often resulted in homo- scedasticity, thus making analysis of variance the appro- priate test for significance. In the few instances when transformation did not correct heterogeneity, pairs of treatments were compared using the t-test for unequal variances (Steel and Torrie 1960). Percent cover data, not expected to follow a normal distribution, were subjected to the arcsinLNXer' trans- formation (Steel and Torrie 1960). 22 The stratified random sampling procedure for vegetation yielded estimates of means for entire plots, in which data from the 2 strata (trails and interiors) were combined. In addition, estimates from interiors or trails alone were available, and were compared to each other and to controls, again using l-way analysis of variance. Finally, trail data were compared to interior data, within treat- ments, using t-tests. Required sample sizes for all vegetation measures were calculated using Snedecor's (1956) formula: S2t2 nS—T d in which n = required number of plots or lines 32 a sample variance t = normal deviate at confidence limit level (a=-0.10) and appropriate degrees of freedom d = margin of error (sample X times designated accuracy of 20%) The number of individual mammals captured in August, 1981 was relatively high, while populations were greatly reduced in 1982. Since 1982 numbers were too low to make the use of conventional capture-recapture population esti- mators feasible, enumeration was chosen to estimate all mammal populations. Beginning at time t on a plot, the I number of animals caught at time t was summed with the 23 numbers of previously marked animals caught after time t, but not at time t (Krebs 1966). Since treatment plot sizes were small, the study was concerned with comparisons of relative numbers of animals rather than with population densities, and density estimates were unnecessary. One- way analysis of variance compared mammal numbers among treatments on a month-by-mpnth basis. T-tests compared the number of trail captures to interior captures. Salamander populations were estimated by direct count, ‘and the data for pairs of transects counted 0n the same night were evaluated using a paired-comparison t-test. A chi-squared test compared numbers seen on trails to numbers seen in interiors. Foliage height diversity and mammal species diversity were each estimated with the Shannon-Wiener equation: H1 = -Zpi£npi (Brower and Zar 1977), where pi is the pro- portion of the total (vertical cover or mammal species) which the ith category contributes. One-way analysis of variance evaluated treatment differences. Linear correlations were used to test for associations between mammal species diversity and foliage height di- versity, and associations between small mammal numbers and various cover estimates and FHD. In conjunction with analyses 0f variance, specific treatment differences were isolated using Duncan's new multiple range test (Chew 1976). Dif- ferences were considered significant at the c1= 0.10 level, :for all comparisons. RESULTS Vegetative Community Composition When trail and interior data were combined to re- present an entire plot, neither sludge and trail nor trail-only treatment had a discernible effect on total living woody stem densities in 4 of the 5 size classes. In the large tree size class, >2 m in height and >10 cm dbh, however, control plots had stem.densities signifi- cantly greater than plots with trails or plots with both sludge and trail treatment (P<:0.05) (Table 2). The density data were also broken down into interior- only and trail-only comparisons, by species, between the 2 treatments and the controls. These comparisons revealed several treatment responses which varied according to species and size class. The general trend was for sludged interiors and sludge plot trails to have lower stem densities relative to those in unsludged interiors, controls, or trails in trail-only plots. The small seedling class (0-30 cm) followed this trend. When interior strips were compared between treatments 24 25 .Amo.ou.mv quHmMMHm hauamo uHMchHm mum mumHuomuomsm umuuoa ucmHmMMHm suH3 30H HmumouHuos mama onu SH madman: .ucmsummnu Hum muoam m Scum .uouum mummomum nuHs osHm> x N 3 Haas Hm Hnfio 3 Huang is so 3. .5. a? H $~.~ 2.4 H oom.~ . «3 H 2: £6 so By .s N. a: H 2m; m2 H m2; . can H on: am - a a 3N H mafia 2... H Sam.” .5 H at: 5 .5 on SW; H 39? 2:; H $0.6m 8%: H 02.2 .8 3-0 muoam mHHmHu muoaa mHHmHH\3 muoam Houucou mmmao oNHm mam owmaam H .Nme .mamh .Hz .humsoo mucouoaucoz cH SOHumoHHmmm mmmsfim mam mHHmuu £33 muoam man .9333 sung muon .maouucoo you Hammad mNHm Hum AmHHmnu mam mHCHHouaHV muoam oHHumo CH mucmam huooz Ham mo Amn\mEmumv kuHmcmn .N manna 26 (Table 3), sludge-treated interiors had fewer total seedlings, and fewer "combined maple"*, red oak, and "combined other species" seedlings than did controls or interiors in trail-only plots. However, the sludge plot interiordensities «mftotal seedlings and combined maple seedlings were not significantly lower than control densities, nor were sludged interior numbers significantly lower than trail- only plot densities of "combined other" species. White ash seedling densities proved the consistent exception to the trend, and in this smallest size class, interiors in both types of treatment plots had significantly more ash seedlings than were found in controls. Sludge was not applied to the trails themselves. In trail density‘comparisons between treatments, in the 0-30 Hummus: you umousu :uH3.uoummu mops .u.m.s .soHumaHommcmHu an umuomuuoocs mommHum> mooomowououonsk Stay m on “Sammie 328323.13 .mmHMHommm mmHsuonuo mmmHss no.ov.m um mamuommau hausmo uHchme one mumHHomummsm umuuoa unoHoMMHm suH3.3ou HmuaouHHon 08mm emu :H madnessm .uaoaumouu Hum uuoam m scum .Houuo mummmmum nuHs osam> Ma 292 H5393 _ ~3.2H..ao3.oa 8Q2Hfi2~.2 H38. _ aw Hpmme Sm HRSHJ «2; Haaomé 3303 mafia emaansoo 2 Hanan can Hana: H3 Haenm; $28 320:3 mac cam mafia H ON; o? H mafia SN H «S; A8823.“ 23.: mooBmmmn mmoHuma< . .. . . . .. 2.: in H gag Aaaaopaam 2:50.33 mg H +n$~ m as m lffim a :3. 823 S H on“ a: H m2; Sm; H 3.; 33033me 23$ nommn :MOHH08< ante H.392 or; Haida... on: Hfimosdm @3233 .H a 938 N Hmo.mwuumov ammncnommom wuoag mHHmuu muoaa mHHmHH\3 muoam Houucoo mmHooam use owuoam H .NmmH mama .Hz .auqsou mucouoaumoz mH .mOHumOHHmmw owusam mom mHHuHu nuHs muoam mam .mHHmHu suHs muon .mHouumoo How "mHOHHmuGH SH mmmHo mNHm EU onto mnu :H mmHommm some mo Ama\m8mumv hufimsmn. .Avagams 28 unmauwouu Mom muOHm m Baum .Houum mummmmum nqu omHm> x oH.ov.m .ucmHoMMHm hHuamoHMchHmk .ponHoomm omHshmnuo mmoHas Ho.ou.m um uSmHmMMHm aHusmo :HmHmem mum mumHHomHmmmm HouumH uanmMMHm nuHB 30H HmumouHHos 08mm onu mH muonasmu ..H mm: H «3...; RNJ H 93.3 03.: H 02.? ~33. m2 H 2N; m3; H a2: N2; H momé 332; 3:3 BEES in H mg a? .1902me HS Hump: $23 3338 sac spa Sm; H 2: SN H as; new H NS; Aaaaopaam 3:5 moo3mmmn :moHHma< m2 Hnomma Sim Hammad «RH Rpm A2823... 35x33 Na «awn mamas «S H 3...; SN H 8m; 3m; H SRN Qfiofleafiw 2&3: Scoop amoHuma< «35 H 8a.: 3mg H stag an: H 3.3m 33233 .H a 358 Hoo x 1H RN +fioo~ m . e3 33.» a . «3+1.QO N H38. 3 H SH o3 H m3 . 2 H «3 mafia“; panda 3338 A H S a H 3 an H i 3.2.3 3338 xao sum 2 H 8 S H 2: 2 H 3. @5335 3:3 . moo3mmmn mmoHHoa< 2N Hfimmm 3m H.384 2: Had; Aacaoapmaa 35x38 N sum muHsz mm H man 2 H 8m mm H is Aafioflsafiw 335 Scoop cmoHHoE< SN H 26; Non H m2; 5 H 2: @3283 p33 mHmma_Hmw5m 3 H mm a H am 3 H .5 A528 “003 oHamE mom 8 H New EN H A: N2 H S: 355mg? «538 Emonmuosmom muOHm mHHmHu muon mHHmnaxs HmHOHm Honumoo mmHoomm mam mwmmHm . .NmmH thh .Hz .mussoo monouoaumoz :H .:0Humo uHHamo ommsHm mam «HHmHu nuHs muOHa use .mHHmuu squ muon .mHouucoo mom "mHOHHoumH :H @930 oNHm E H :80 on 93 SH @9323 Sumo mo Amaqmamumv %//%%1V§ Home .n m 30 significantly among treatments (Table 5). In both cases, densities were significantly higher on interiors in trail- only plots than on controls, with sludges interior densities at nonsignificant intermediate levels. Trail densities had nearly the reverse pattern in large seedlings (Table 6). Control plots had more hophorn- beam, beech, and "combined-other-species" seedlings than did trails in either type of plot with trails. However, in the case of hophornbeam and "combined other species," control densities were not significantly greater than trail-only plot densities. The final treatment influences on stem.densities appeared in the interior strips in the 1m- 2m size class (Table 7). White ash and American basswood both had significantly higher (P<0.05) densities in trails- only plot interiors than in either sludged interiors or controls. Trails did not contain trees or shrubs greater than I'm tall. Pole size sapling (>»2u1 tall,:>10 cm dbh) and large tree ( >21n tall, >10 cm.dbh) densities did not differ significantly between control plots and treatment Plot interiors (Tables 8 and 9). When trail densities were compared to interior den- Sities within the same treatment, a consistent pattern emerged with interiors containing similar or higher densities than found in trails. In the 0-30 cm size class, 31 mo.ov.m .ucmHmMMHm hHummoHMHmem k .mmHMHommm omHsuomuo mmoHcs 0H.ouvm um uanmmeu hHucmoHMchHm mum mumHHomHomnm HmuuoH HamHoMMHm nqu 30H HmucouHHon m SH mumnamcm unmaumouu Hum mHOHm m Baum .HOHHm uHmmcmum nuH3 msHm> NH .mNsH 2m; ommH RAJ in H 33 :38. mm Hnmm mHHHnmme mH Hmqu moHomam Honuo mmmHnBoo NH_H mq OH.H mH mm.H an Amundu mSUHmpdv xmo mom mu H_mn m_H oq NH H.Hn AmcmoHHmEm MHHHHV moopmmmn mmoHHma< o: H 9% 9.3 H 3: S: H Sm 350203 83x35 5mm manz 2 Ham: 3 Has: an H $3 328%:an Swat k momma chHHmE< NmH.H moo NwN.H cam nm_H own Aamumnoomm Hmu x .Amo.o..mv unopmmmae N HHN H Hmo.N HHH + Ham.~ .omm H saw.a Hmuoe oH.H mm mm H mma mm H mm mmaumAm Honuo umcHnaou o.H o m_H o o.H o Amundh machomdv xmo mom m Ham m.Hn¢H m Hum AnamoHHmEm MHHHHV moo3mmmn cmoHHoa< mm HuNNH qu_Hmmm¢ mN H m¢o AnamoHHmSm mmameHmv , N can muHsz «NH H mas o H own owa H awn Amaaomaeaaaw mswamv momma mmoHHoE< SHH.H ewe mm H com Noam H mos Asapaauoam pmoav mHmma Hmwmm o.H o m H NH on H on Asapnnp pupae . mHmmE mom am_H son HNH H_mmo Ham H Has .Amaaasawpa> «Noumea Emoncuonmom .muOHa mHHmHu muoHa mHHmHH\B muon Houumoo moHommm mam mwmnHm .Nme mHmh .Hz..%ucboo monouoaucoz CH .SOHHHOHHamw mwmmHm mam mHHmHu £HH3 muOHm mam .mHHmHu nqu muon .mHouucoo How "mHOHumucH 5 mafia muHm EN 18H on“. 5 $3QO comm Ho $53833 EH23 .N mHan . .mmocMHHMP Hmpvmfifi How umwuu nu £HH3 vmummu H553 mocmHmwme unmoHMchHm om .cOHumaHommcmHu hp monomuuoomp .mmocmHHm> msomcmwouoummN .umoaumouu Hum mHOHm m Scum .Houum mumuamum :UHa msHm> x 33 Em H ~85 2: H n86 «8 H ~35 . :38. m H m 3 H H3 an H 2 1.38% Honuo ummHmaoo m H m o H o o H o €58, 330:8 . . xmo mom m H.HH m H_m m_H mN . AnamoHHoam MHHHHV mooBmmmn amoHHmE< 0N H.N¢ «N.H 00H m.“ o AnamoHHoam mamemHmv 3mm manz m: H 03 S H SH SH H «S Aaflomaeafiw Swab momma amoHHma< NNq H noN.N mHH_H omm.H MNN H omo.H . Aapnmnoomm Hoo mwmumov amonmuonaom quHa mHHmHu . muon,mHHmHH\3 muOHm Houuzoo mmHommm mom mwmmHm . H . .Nme hHsh .Hz Laumpoo moamhoaucoz :H .GOHumoHHmmm owmsHm can mHHmHu squ mHOHm was mHHmHu nuHB muOHm .mHopuaoo HomumHOHHoucH cH wwwHo oNHm saw so OHv .HHmu 8 NA onu :H mmHoomm some mo Aw:\mamumv HuHmmma .m mHAmH 34 .ucmaummuu Hum quHm m Eoum .HOHHo mumuamum nuHB msHm> x H mm_H com He_H Hoa om_H mam HmuoH on H N¢ oq H HOH mN.H oq mmHommm _ Honuo moaHQEoo mm H.m~ m_H Hm e_H mm Ampasp msopmncv xao use Hm.H mHH OH H HOH mH_H OHH HacaoHpmsm mHHHev mooBmmmn amOHHmE< «H H mH H.H eH q H.0H AmcmoHHmEm mamemHmv . Ham moHaz m~.H so HH H_Ho Hm.H am HmHHoHHeaapw assume momma mmoHHmE< mH.H Ham NH H.Hnm He H mom Assumaooam “moav mHmmE uanm H H H o H aH as H «a Haspnap Hmoav mHmmE mom H H mm N_H HH N.H a AaemHeHwHH> ammumov amonmnonmom .muon mHHmHu muOHm mHHoMH\3 muOHm Houuaou moHoomm mam mammHm H .Nme aHDH .Hz .hucpou hocmHoEucoz CH .GOHumOHHmmm ommmHm mam mHHmHu £HH3 muon mam .mHHmHu SHH3 muOHm .mHOHuaoo How mHOHHouaH GH mmmHo oNHm nan Bo OHA .Hku 8 NA mnu aH moHommm come we Aw:\m8mumv zuHmama .o anmH 35 red Oak, combined species of maple, and total seedling densities were significantly higher in trail-only plot interiors than in trails in the same plots (P<:0.10); no other significant differences occurred (Tables 10 and 11). In the large seedling size class (30 cm- 1m) the pattern was not so well defined, although interiors still had similar to higher densities. Here, hophornbeam and total seedling densities in sludged interiors exceeded those in trails in the same plots (Table 11). Trail-only plot interiors had significantly more beech, basswood and total seedlings than were found in the trails (Table 10). Herbaceous Species Frequency Herbaceous understory species tended to occur in.a varied distribution from plot to plot, making it difficult to characterize the forest floor's herbaceous composition in other than broad terms. However, some patterns emerged (Fig. 4). . There were 7 plants common to nearly all 9 of the study plots: starflower (Trentalis borealis), Canada mayflower (Maianthemum canadense), sedge (Céggg spp.), bedstraw (Galium aparine), violet (Viglg spp.), heart- leaved aster (Aster cordifolius), and brambles (Rubus spp.) Their distributions closely resembled each other in ..con- trol. plots and traileonly plot interiors (Fig. 4). These same herbaceous species had a somewhat different occurrence profile in the trails. Trails had similar profiles in 36 Amo.ouvmv huHmcom HHmuu swan Hoummuw hHuamonchHmsk AcH.ouvmv zuHmcou HHmHu mmnu Houmoum HHummonchHm« muOHm unmaumouu m o£u Scum .Houuo unmmcmum nqu osHm> NH ommHHHH.~ oHnHaosa.e om~.NHaam.ms .HHn.mHHH«ooa.oa Hades mHH+mmH omHHama am¢.HHomm.~ meHHHm.~ mmHomam 1 1 1 1 “mamm emaHasou OH+mH a+aH Hms+omH.H emm+ mmm.~ Hannah msopmnov 1 1 1 m xmo sum m+ws wo+ SOH Hw~+moo.H oHH+meH.H HacaoHposm mHHHev I «H I I moosmmmn amomuosm mm~+smH mmm+omo.H oeH.m+o~m.mH oeo.m+-~.HH HaaaoHHmsa macHxapmv 1 1 1 1 saw muHaz oq+oeH ~H+ cam HH~+mom.H mmH+mmH.H HmHHoHHecapm mammmv kt noomn cMUHHmE< 11 11 can.mHoHH.mH oHs.aH*pHHH.He mmHaaa emaHaaoo NwNqum NcmHnMH.H II II Hasnmnoomm Hoo ammumov Emmnmnonmom mHHmHH mHOHHoucH mHHmHB HmHOHHmucH E H 1 So on So om1o moHoomm .mmaH HHaa .Hz .hussoo monouoaucoz .HH:01mHHmuu nuH3 muon How .mHHmHu mam mHOHHmunH cH .mommmHo ouHm 8 H160 on was Eu OM10 emu :H moHoomm sumo mo Am£\mamumv >uHmamn .oH MHQHH 37 Amo.ouvmv auHmcom HHMHH cmnu Houmoum hHucmonchHm¥¥ 216 v5 .3386 :85 can”. 830% >353chme a muOHm ummEummHu m emu Scum .HOHHo mummcmum nuH3 osHm> x IH aHsHmHm.H HHNH«OOH.H m~m.~HmsH.sm mme.oHHoee.ss Hades HHHHH asHHHH HHHHHH~.H aNHmme mmHomam I . I I I Hmauo mmmHnfiou NH+mq s+aH «NH+mo¢ mm+mom Ampoou mounmoov I I I I xmo mom mN+mN MH+oo nem.H+cHH.m mNN.N+mHN.¢ AnamoHHoEm mHHHBV I I I I woozmmmn :moHHoE< oNH+aqm mNN+mmw mmm+¢mm.m mmo.H+moN.m AnamoHHmEm msameHmv I I I I .mmm manz ~m+mHH -+ amm Nam+mmn.H Hm+emH HaHHoHHeaan mswmmv * I I noose :moHHmE< 1| I 30633.3 35:30.? 339: 3:358 NmHHmoo OHNHomoH l1 1| Assumzoomm .803 I. I oHamE Hmwsm OH+Nm c¢+mm II II Asounsu Hoo mmuumov amoncuonmom mHHmHH mHOHHoucH mHHmHH HmHOHHousH a H 1 so on :8 07o moHomam .NmmH NAH3. .HE .Humsou Hocmuoaucoz mH .HOHumoHHmmw owmsHm mam mHHmHu :uH3 muOHm How .mHHmHu mam mHOHHmumH mH .mmmmmHo ouHm EH 150 on mam So onio 93 SH mmHommm some mo Am£\m50umv .SHmama .HH aHHHH 100 50 U) l'? m H H'I p—A O s ID '1 100 59 U! H 93 H F?! ...: O s m '1 Figure 4. U.) (..: INTERIORS sludge & trans I'll- EC) ACO on < > ID no It I". ‘D ‘45 mo. o. o n H19) H00 CD F" I’D HQ- mm H (D '1 OD) x H r? S m m g 2 H v v TRAILS i I l I 50 Am a: < > 9393 CID I‘D H- In <5 DID- D.- O f"? H593 I100 m I--' G) I-‘D- mm H I‘D '1 29: >4 3 n m g s "‘ 1? V (°dds annu) (-dds annu) w/trails —— control _ 3 :< 5 a v H H m m H m :1 m H E 3 I: c m H H m o (n Frequency of commonly occurring herbs and shrubs (Z of quadrats in which the plant occurred) in control plots, plots with trails, and plots with trails and sludge application, Montmorency County, MI, July 1982 (X with SE). 39 both types of plots with trails. A third, intermediate pattern emerged from herbaceous plant occurrence in sludged interiors. As. the profiles indicate, 9513935, violet, bedstraw and heart-leaved aster occurred with similar frequency in- all situations. Starflower and Canada mayflower were the _ most common plants in controls and trail-only plot interiors, and were among the least frequent in the trails and in sludged interiors. §_11_b_u§_ had a relatively low occurrence in controls and trail-only plot interiors, was relatively more common in sludged interiors, and became the most frequently found herbaceous plant in the trails. An ad- ditional species, mullein (Verbascum spp.), appeared commonly in the trails and did not. occur elsewhere. A list of all plant species identified on the study area indicates the tremendous variety present (Appendix 1). Vertical Vegetative Cover When plots were considered in their entirety by com- bining interior and trail percent cover data, percent vertical cover did not differ significantly between controls a.l‘ld/or treatments in stratum 1, the 0-10 cm height class (Fig. 5) . In the 10-30 cm stratum (stratum 2), sludged Plots had significantly less vertical cover than did trail-only plots. Sludged plots and trail-only plots both had less cover than did control plots in the 30 cm-'2m and the >2 m height classes (strata 3 and 4). This reduction 4:>2m 30cm-2m ... s 3: 311mm 2: I0-30.cm w/tralls IIIIIIIIIIIII 1: O-IO cm control- Figure 5. Percent vertical vegetative cover in 4 height strata in entire plots: for control plots, plots with trails, and plots with trails and sludge application, Montmorency County, MI, July 1982 (X with SE). 1'Bars in the same stratum with different letter superscripts are significantly different (P < 0.05). *Significantly different, P < 0.10. 41 in cover was not statistically different from control plot cover, however, in trail-only plots for stratum 3 (Fig. 5). Considering the data for interior and trail cover individually revealed a breakdown of the treatment effects. When only interior cover was compared (Fig. 6), sludged .interiors had significantly less vertical cover (P<:0.05) in the 10-30 cm stratum.than did trail-only plot interiors. This parallels the lower seedling densities in the same height range. In stratum.4, control plot and sludged interiors had significantly more cover than trail-only plot interiors (Fig. 6). However, when interior cover was separated into 2, 5-m edge segments and a S-m.inner- interior segment, the cover differed significantly between treatment interiors and controls only in the edge segments, adjacent to the trails. Trail cover comparisons (Fig. 7) indicated the most pronounced treatment differences in cover. As with entire plot and interior-only data, trail cover in stratum 1 (0-10 cm) was highly variable and no significant differences between treatments emerged. In stratum 2 (10-30 cm), sludge-plot trails had significantly less cover than did control plots. Strata 3 and 4, together representing all cover above 30 cm in height, had significantly less (P< 0.01) vertical cover in trails of both treatment types than in control plots. S 100l‘ ...-I8 :5 575’ sass 25- . E ‘2' 8. g 15* é E 5'3 10. E s 5' E 55. S E 3 E E E 530 § § 駰- ; ' “g4. é: ab E 2. g b 9' E c': 5' "- ,. g E .. s Figure 6. Percent vertical vegetative cover in 4 height strata in forest interiors: for control plots, plots with trails, and plots with trails and sludge application, Montmorency County, MI, July 1982 (X with SE) 1Bars in the same stratum.with different letter superscripts are significantly different (P<:0.05). 43 100- +3 E N A 75. if 50!- 25 =3 E h ? I! o 5 E g 15- I“ 6': 10- E z-—: 05' .'=_'. 0 b "=' s El- 5 ML. — 0:2 :g OH! to €786 a o I to -E 3 N 4. 1 a is 2' .— 5 Eb E — U 0 o ‘ T e- g ° 5 4'. 4_ ‘, ° 2- Figure 7. Percent vertical vegetative cover in 4 height strata in application trails: for control plots, plots with trails, and plots with trails and sludge application, Montmorency County, MI, July 1982 (X with SE). 1Bars in the same stratum with different letter superscripts are significantly different at P< 0.01 unless otherwise specified. *significantly different P< 0.10. 44 Foliage Height Diversity Foliage height diversity (FHD) was significantly lower in sludged plots than in trail-only or control plots, both when entire plots were compared and when interiors alone were compared (Table 12). Control plots had sig- nificantly greater FHD than did FHD for trails in sludged plots. Plant Annual Production For most species the current season's primary pro- duction below 2 m did not differ between treatment and/or control plots. When differences did occur, the trend was for greater production on trail-only plots than on controls, with sludge plot production at intermediate levels. When entire plot data were compared (Table 13), trail- only plots had nearly 3 times as much sugar maple current annual production as did control plots. Total annual production on trail-only plots exceeded that on control plots by 261%. Interior-only comparisons yielded only 1 treatment difference: sugar maple annual production was twice as great on trail-only interiors as on controls (Table 14). Trails in trail-only plots had 4 times the amount of sugar maple prodpction and 2.7 times as much total annual ‘vegetative production as did control plots 45 oa.ouvm .ucmummwan spasmoflmaawams .powwwommm oma3honuo mamas: mo.o m ucmummmwm hauamuamwcmam mum muawuomuomsm umuuoa ucouwmmwm £ua3.3ou Hmuaoufiuon m CH mumnabn N udofiumouu Hon muoam m Eonm .Houum pudendum nua3 mdam> Ma oqmc.o.Hn¢m¢N.o «oHH.o.Hnmunoq.o moao.o_HsmmmNm.o Sago mHHmHH mNoo.o Hnmmmd.o memo.o_HoomNm.o mmao.o H mmmmm.o Saao muowumucH amao.o.un¢ewm.o mamo.o Hda¢m¢.o mmso.o_wmmn-m.c muosa usausm muon mafiwuu muoam maamHBx3 muon Houucoo macawummaoo mam ompsam H .mwma hash .Hz .xuqsou hocmuosucoz pH .cofiumoaamao owndam mam mawmuu £uw3 muoam mam .mawmuu £uw3.muoam .muoam Houuaoo How AmoSHm> NopSH Hmcowz cossmsmv hufimnm>wm uswwmn owmwaom .NH mafima 46 .Amo.ov.mv econommap mauaoowmaawfim ohm muawuomuomnm Houuoa uooummmwp nuw3 30H Hmuaouwuon m CH madness N .ucoEummHu Hon muoam m Boum .Houuo pumpnmum nuHS osam> Ma «H.m +noom.~¢ mn.m~ +noo.me mm.H +doo.o~ Hmuoy 85 H and S.~ u. :3 on; H 24 2533:? 5.323% show cmxomum mm.~H 8.: $4..“ 86 stews; $3.2; hpoos.uonuo 3a Hammofi m: Hawtom 5.0 Hugs A5283 ~83 . magma Hmwom 84 H 35 .35 H 25 85 ...r 3.0 3538.8 against saw moans 24 H 3g 3s H SS .35 H and Aafioflecmmw Swab scoop cmownma< 85 H 86 :4 H o: a: H £5 A2353? assume amonouonmom mo.~ H om.o -.¢ H.mo.~a Nm.o.H m~.N moaomam msooomnum: wuoam owpoam muon mHHoHH\3 muoaa Houucoo mowoomm mam mHHmHH a . .Nme umamn< .Hs .huaooo hocmnoaucoz ca coaumofiaamm mwpaam mam magnum sues muoaa pom .maamuu :33 $on .3938”. you usmv 3535 53260.3 H358 um: 2:53 «>22 .2 383. 47 .AoH.ov.mv uaoHoMMHm haunmonHame mum muaHHomHomom Houuoa ucoummep SHH3 30H HmHGONHHos o :H mumnas: N .uamaumonu Hon muoam m Scum .Houuo pudendum :HH3.o:Hm> xH 35 H 8.: ~05 H 3.3 a: H 2.2 H38 85 H $5 2: H a: 84 H 24 Engine... 53333 show coxomum an; H Ed 24 H 2.0 84 H 36 $32; SUOOB Hmnuo mm.o.Hnomm.MH mw.m.Hnmn.oH mm.o H mmm.m Assumsoowm Hoo oNHumov amonchonaom ~¢.H H n¢.¢ q~.m_H om.¢a mm.a H mq.m .mom moooomnuom muoHQ mHHmHu muOHQ mHHmHH\B muoam HOHufiOU moaommm mam mwpsam H I .NmmH umsws¢ .Hz .kuasoo zocmuoaucoz . aH COHuoOHHaam owppam mam mHHoHu nuHa muoaa pom .mHHouu nuHB muoan maouucoo HomanoHHmuaH Eoum :amv Ao£\wxv :OHuoavoum Honcao um: vasoum o>on< .qa manna 48 (Table 15). In contrast, beech annual production was sig- nificantly greater on control plots than on trails in either type of plot with trails. Small Mammal Community In August, 1981, a total of 4 small mammal species was captured on the study area. Eastern chipmunks (Tamias striatus), white-footed mice (Peromyscus leucopus) and woodland deer mice (Peromyscus maniculatus gracilis) occurred on all plots, and a single boreal red-backed vole (Clethrionomys gapperi) was captured (Table 16). This pre- treatment trapping period yielded significantly higher Peromyscus (P<=0.01) and total (P‘<0.05) average per plot numbers of animals known to be alive on controls than were on either type of plot scheduled for treatment (Table 17). In 1982, an additional species was captured on all, 3 types of plots: the woodland jumping mouse (Napaeozapus insignis) (Table 18). There were incidental captures of a masked shrew (Sorex cinereus) and a short-tailed shrew (Blarina brevicauda), but no red-back voles were captured. In contrast to the 1981 capture data, the 1982 average per—plot numbers of individual animals known to be alive did not differ significantly between treatments and/or controls for any month, either pre-sludge (May) or post- sludge application (July and August) (Table 19). When the major species were compared separately, however, there Aoa.ou.mv ucoHoMMHu mauamoHMchHm mum mumHuomHmQSm Houuma ucmHoMMHn zuHs 30H HmHGONHHon o pH muonssaN ucoaumouu you muoam m Scum .HOHHo pumpcmum nuHa osam> x 49 la 3.: Hoists.» 3.2 Hagan 34 Hui: H38. :5 H :5 85 H 85 84 H 3A 953353 sauefiflmv snow aoxomum $5 H :5 .2: H 2; 34 H 85 83.2; Hpooz Hmnuo mag Hammmda $6 HnoHNm Nod Hmood 33233 80$ magma Hmwnm mm.H H wo.m ow< .mH manna 50 on He. mm o H o mm. mm an S m m Hmuoe AHHmmmmw mNEOaOHunumHov mHo> xomnvmu HmmHom .amw mSUmHEoumm AmdumHHum mmHEmHv xcnamHno aumummm muoam mHHmuu wan mwvaam muoam mHHmHH\3 muoam Houucoo mmHommm .HZ .hucbou hoCmHoaucoz CH COHumUHHQQm wwwnam van mHHmHu How vmumcmHmmw muoam wcm .mHHmuu m>m£ ou wmumcmemw muon .mHouucoo cH .HmmH umnm=< :H m>HHm an ou czocx mHmEEmB.HHmEm Hmuoa .oH «Hams 51 HaucmoHMchHm mum mumHHomHmaam Hmuuma unmumMMHv nuH3_30H HmucouHHon m :H mHmAEDC Ano.ov.mv ucmHmMMHv hauamoHMchHm¥ .vaMHommm omH3Hmnuo mmchs AHo.ouvmv ucmHmMMHw N .ucmaummuu .Hmm muoam m Scum .Houum vumvcmum nuH3 .HOHQ Hum wounummo mHman>chH mo Hmnasa M o~.H H Ho.om H©.H H He.o~ mm.o H who.5~ n n ¥ oo.H H oc.- o~.~ H Ho.mH oo.H H oo.m~ A n «m mm.o H Ho.m mm.o H Ho.H o~.H H Ho.~ Hmuoe .mam mSUmHEoumm AmsumHHum mmHEmHv xcnamH£o_cumummm .muoaa mHHmHu muon mHHmHH\3 csm mwusam H muoHa Houuaoo mmHommm JHS .HHCbou .hucmuosucoz fiH sOHumoHHaaw «mus muoHa van .mHHmnu m>m£ ou wmumcmeov muoHa .mHouuaoo CH “came .HmmH .um:m=< :H m>HHm ma ou caoax mamasma Hawam mo H Hm wan mHHmHu How wmumcmemw .Hfico mmHomqm mQESfi mwmhm>< .NH GHQMH 52 mm 0H m on Hm m m¢ om o HMHOH H o o o o o o o o HmwsmoH>mHH maHHmHmv 3mH£m cmHHmuuuHonm o o o o o o H o o 3:883 3.83 3mnnm vmxmmz m H H m o N NH q o AchmecH mammuommmmzv mmnoa wchssn vcmeooz Hm o N m m m m . N o Amnnooan msommfioummv manoa nmuoomumans ¢H m H m o H m H o AmHHHumHm mnumHaoHamE anomhaoummv mmnoa Hmmv vameooz mH o H ¢ OH H mH mH o HmsumHHHm mmHamHv . xcaamHso cumummm ¢H\m NH\B NH\m ¢H\m NH\~ NH\m ¢H\w NH\N NH\m muoHHH mHHmuu muOHa mHHmHH\3 muon Honucoo mMHommm can mchHm .Hz .zucsoo mocmuce :o c :oHumoHHamm mmwsHm vcm mHHmHu nuH3 muon van .mHHmHu zqu muoHa .mwouwwow :H_.mmHommm ma .Nme .HmBESm :H m>HHm mp ou 230:3 mHmHHHEHHE HHmEm Hmuoe .wH w HHwH 53 .ucmaummuu Hmm mHOHm m aoum .Houuo cumvcmum suHs mDHm> xmvcH huHmHm>Hw M Hum muon m Eoum .Houum uumucmum nuHB_.uon Hon 60H9ummo mHmnoH>chH mo Hmaanc_m N .ucmEummHu H -wam wwwaHm NrH HH.o m mo:H o~.o m Ho.H o¢.o m HH.o mnHm> HHHmHm>Ha mm.m + H©.¢H mm.H + oo.oH mm.m + mm.¢H mHmsama HHmam Nme umdws< m~.o m oo.o mH.o m om.o o~.o m om.o osHmp HHHmHm>HH m¢.H + mm.m mm.H + oo.H ww.o + Hc.o mHmaamaAHHmam NmaH HHsa Hm.o m mn.o Hm.o m mm.o o m o gHg HHHmHm>Ha mH.H + oo.~ mq.H + mm.~ o + o mHmaama HHmEm Nme am: mHOHm mHHwHu muon mHHwHB\3 muon Houucoo mevGH HmSMHSacoaamnmv muHmHm>Hw mmHommm Hmaama mHmaams HmchmmHH Ho maHe HHm .NmmH .Hmasam :H m>HHm mg on caocx mHmEEmE HHmam mo Hanan: mwmum>< .Hz .xucsoo moamuoaungz SH :OHumoHHmam mwvsHm cam mHHmuu :HH3.muoHa van .mHHmHu nuHa muon .mHouucoo :H .wmcHnEoo mmHoQO .mH anwH 54 were significantly higher numbers of Peromyscus captured on sludged plots than on either control or trail-only plots (Table 20). No significant differences were found among compari- sons of captures in traps placed in trails with traps located in interiors. Mammal species diversity did not correlate well with FHD (r-0.l4). Peromyscus numbers showed a strong negative correlation (r-=-O.835, P‘<0.01) with FHD; and also cor- related negatively with percent vertical cover in the 10-30 cm stratum (rm-‘0. 63, P < 0.05) and percent cover in the 2 m stratum (r--0.59, P<0.10). Salamander Populations The only salamander species found on the study area was the red—backed salamander, Plethodon cinereus. This terrestrial species did not demonstrate a detectable popu- lation response to sludge application when its numbers were compared between sludged plots and trail-only plots. There were an estimated 1484 salamanders per ha 1J1 trail- only Plots, and 1447 per ha in sludged plots. A chi-squared 31‘3le18 comparing numbers of salamanders observed in trails to numbers seen in interiors showed a significantly greater (P < 0.01) number of salamanders in interiors compared to very few animals in trails. 55 .God v 8 HESEHHHU hHucmonchHm mum mumHHomHmmsm HouumH uamuommHv nuH3_3ou HmucoNHuoH m GH muonadsN unmaumouu Hon muon m Eouw .HoHHm wumocmum nuHB .uon Hon mounummo mHmapH>HucH mo Hogans x .om.H.HHmm.mH H Hmoo.q mq.H H «Hc.o .aam anomaaopmm N I AmsumHHum mmHamav Hm.m H oc.m mm.o H oo.m H.¢ + mm.o HanaaHno aumummm NmmH Hm=m=< oo.H H oo.m mq.H + >.m mm.o + o.H .mmm mnommfioumm I I I AmaumHHum mMHEmHv oo.~ + oo.~ mm.o + mm.m mm.H + mm.¢ HonaaHso cumummm NmmH HHan mm.o H o.H ww.o H m.H o H o .mam odommaoumm I I I AmnumHHum mmHEmHv mm.c + mm.o mm.o + mm.o o + o HGDBQHno auoummm NmmH Hm: .muoHa mHHmuu muoHo wHHwHH\3 muon Houucoo moHommw wow owvsHm H maHaomuu mo oaHH .Hz..%u::oo monmuoaucoz GH aoHumoHHmmw owcsHm paw memHu ¢uH3 muoHa can .mHHmHu nuHa muoHa .mHoHucoo GH .hHao onooam Momma NmmH HmESSm :H m>HHm on ou :Bozx mHmaams HHmam mo Hmnabc owmuo>¢ .ON oHan DISCUSSION Vegetative Community Response Both the forest thinning to create application trails and the sewage sludge application to forest interiors prompted notable first-year changes in the hardwood forest plant cxmmnnaity. Composition was altered in tree seedling size classes by increased density of some species, such as white aSh, and.decreased density of others (e.g. red oak, beech, and the maples). Some understory species, such as Canada mayflower, were suppressed, while post-disturbance plants such as brambles and mullein were favored. Structural changes included loss of cover from middle and upper strata in trails and from lower strata in sludged interiors, which.1ed.to reduced foliage height diversity. Because the 2 largest stem density size classes comprised trees that were sapling-size and larger, they would not be eXpected to respond to either treatment by increased densixy'in the first year following treatment. Therefore density differences in these size classes would logically be attributable to actual tree removal or to inherent differences in plant community composition. Forest in- terior and control densities did not differ, in these large size classes, either by species or in total, 56 57 indicating that the tree community composition'was homo- geneous among all plots. Not surprisingly, total large tree stem densities in entire plots (interior and trail data combined) were reduced in both types of plots subjected to trail cutting (i.e. tree removal). Sapling size trees (> 2 m tall, <10 cm dbh), even though also eliminated from trails, showed a nonsignificant trend of greater contrrfl.plot total densities. Since the variances were particularly high among treatment and control plots in this size class, there appeared to be inherently high variation in sapling densities throughout the study area. Large variances coupled.with the low replication of 3 plots per treatment, affected the power of tests for treatment differences . In order to differentiate plant community changes resulting from the 2 treatments, vegetation measures in trails and interior areas were also considered separately. In the smallest seedling size class (0-30 cm), the reduced numbers of red oak, combined maple, combined-other species and total seedlings on sludged interiors when compared to controls and/or to trail-only plot interiors suggest a negative response to the sludge itself. Shortly after treatment many withered seedlings and herbaceous plants were observed, heavily coated with sludge, indicating sludge induced leaf and plant mortality. This mortality may have been a function of applying sludge during the growing season, since a related experiment involving sludge 58 application the previous fall in a mixed-oak forest pro- duced no forest interior seedling density differences (Haufler et al. unpubl. data). In contrast, the dramatic increases in white ash seedling numbers on both types of plots with trails,, in both the interiors and in the trails, suggest a not un- expected, positive response to forest thinning. White ash is known to regenerate heavily (via seedlings) in recently cut northern hardwood forests (Marquis 1965, Borman etal. .1970, Leak and Solomon 1975). White ash regeneration appeared to have occurred in this study, either by increased germination or survival, or both. Other ash seedlings presumably present before either treatment may have benefited from release by forest thinning (i.e. trail construction), thereby gaining sufficient increased growth and/ or survival to account for the observed greater densities of tall seedlings (30 cm - 2 m) in the forest interiors of both types of plots with trails. Bicknell (1982) monitored seedling growth following the clearcut of a northern hardwood forest, and her data for first-year post-cut growth by white ash seedlings substantiate this possibility. In reality, forest thinning such as that caused by trail construction may have provided the optimal release con- ditions for both ash and basswood, which also had greater tall seedling density in trail-only plots. White ash and basswood are considered "gap phase" species, which normally Persist in climax forests by colonizing gaps in the canopy. 59 Such species tend to be able to make more extension growth in a season than, for instance, sugar maple or beech, and are best adapted to competing in conditions intermediate between large disturbed areas and a closed canopy (Marks 1975). The trails themselves did not receive sludge treatment. However, they were subjected to considerable disturbance both by tree removal and later by the sludge applicator. Therefore, differences in stem densities should reflect either the effects of trail construction (e.g. trauma during logging, loss of soil or leaf litter, microclimate changes, etc.) and/or, in the case of sludged plots, 4 possible physical trauma from the sludge vehicle's tires. The data exhibit vegetation changes in response both to characteristics of the trails or their construction and to trauma during sludging. Small (0—30 cm) red oak seed— lings, and large (30 cm- 1 m) hophornbeam and combined- other-species seedlings had significantly reduced densities only in sludge plot trails, and appear to have suffered damage by the vehicle. In addition, red oak is another gap phase species and would seem unlikely to react nega- tively to light forest thinning such as this study's trail construction, unless the procedure itself was damaging. 0n the other hand, trails in both types of treatment plots had fewer large beech seedlings, and this species appears to have been more vulnerable to trail construction. 60 In density comparisons of trails to interiors within treatments, the trend for interiors to have similar or greater seedling densities than trails also suggests losses due to trail construction or changes in microenvironment. In trail-only plots, interior densities of red oak, beech, basswood and total seedlings did not exceed those on con- trols, but were greater than those in trails. A similar situation occurred in sludged plots, with sludged interior densities of hophornbeam, beech, and total large seedlings exceeding trail densities in the same plots, but not in controls. Theoretically, the interior vs. trail density differences could be due to gains in interiors, to losses in trails, or to a combination of both (e.g. slight gains, perhaps in response to release or fertilization, when juxta- posed against moderate losses would together constitute a significant difference). ,Since in the 2 cases mentioned above the interior densities were not significantly greater than in controls, the data favor either of the latter choices. Particularly in the sludged plots, however, there is evidence of sludge damage, and the short h-time span (2- 3 weeks) between sludge application and vegetation measures would not seem long enough for fertilizer-induced growth to have exerted much measurable effect in the interiors. This argues against widespread density gains in sludged interiors. Some apsects of the trails, whether construction, micro- environment, or use seem to have reduced stem densities. In the oak forest which received sludge in the fall of 1981 61 as a parallel to this study, 1982 trail seedling densities (0-1 m) were: over 2 times greater in plots that did not re- ceive sludge (Haufler et al., unpubl. data), which further supports the hypothesis that sludge applicator destruction ‘was responsible for some of the reduced trail densities. This effect should be short-term and trail densities should recover, although not without initial competition from typically post-disturbance species (such as brambles, pin cherry, Prunus pensylvanica, and aspen, Populus tremuloides) (Auchmoody 1979, Bicknell 1982). Final composition changes were produced, primarily by trail construction and to a lesser degree by sludge damage, in the herb-shrub segment of the plant community. Trails and sludged interiors possessed relatively sparser distributions of the typically deep woods herbs starflower and Canada mayflower, presumably due to microenviroment changes in the trails (perhaps increased light or tempera- ture, or litter loss) and to sludge-induced damage or en- ‘viornmental changes in the interiors. The several-fold increase in occurrence of brambles in the trails was expected, since 53223 spp. characteristically invade after recent disturbances. EEEEE seeds are usually present in the forest floor and are quick to take hold in an area when- ever conditions become favorable (Stearns 1951). Common Inullein, an early successional inhabitant of old fields, roadsides and waste places (U.S. Dept. of Agriculture 1971). was an anticipated invading species. 62 Plant damage by sludge application, both from the sludge itself and.from vehicle use of the trails, along with mechanical removal of larger trees, also produced structural changes in the forest plant community. ‘When data were combined to represent entire plots, large tree removal from the trails resulted in reduced cover above 2 m.in both types of plots with trails, although these plots retained 'more than 90% of total available cover. Tree removal reduced trail canopy cover itself to about 65-75%, but trails made up only 25% of each plot's area. The 16-fold decrease in trail cover in the 30 cm - 2 m level can also be attri- buted to trail construction, presumably by physical damage, since it occurred in all trails regardless of treatment type. This trail effect accounts for the observed entire plot cover decrease in sludge plots. In the 10- 30 cm.cover stratum, which had low (less than 5%) cover throughout the forest, only sludge plot trails and interiors lost vertical cover. This reduced forest interior low level cover parallels the decreased woody stem density in the corresponding size class, and reflects sludge-induced leaf and plant mortality in the herb-shrub vegetation. Ultimately, cover reduction in sludge plots frmm the 3 strata above 10 cm was great enough in combination to drop foliage height diversity indices for sludge plot trails, interiors, and plots considered as a whole. 63 Small Mammal Response Small mammal populations, as indicated by the August 1981 trapping data, were moderately high on the study site. The 2 species of Peromyscus and the eastern.chipmunk ‘were apparently the site's only common small mammal in- habitants, although the bait used may not have been attractive to shrews. The final day of trapping produced from 20% to 50% newly captured individuals, indicating that 1 trap per station was inadequate for capturing a majority of the site's inhabitants. The fact that Peromyscus numbers were 1/3 higher on controls plots than on either set of plots designated for treatment suggested inherent differences in pre-treatment mouse populations. In 1981,' however, no habitat data were available for the area, so it was impossible to explain the mouse capture differences by any habitat discrepancies. No age or sex differences 'were found between mouse populations. Trails were cut through both types of treatment plots in September, 1981. ‘When mammal trapping resumed in IMay, 1982, numbers had equalized between the 3 types of plots but were exremely low; The drastically reduced 1982 populations followed an unusually severe winter, with record-breaking low temperatures coupled with heavier than normal snows in December and January (NOAA 1982). The extent to which this weather was responsible in re- ducing small mammal populations is unknown, but it is 64 expected to have played a major part. The responsible factors appear to have been widespread, as southern Michigan Peromyscus populations also suffered a precipitous decline between 1981 and 1982 (Haigh, MSU personal comm.). The July trapping period followed sludge application by less than 1 week, and much of the litter was still wet, with frequent pooling of sludge. Nevertheless, the treat- ment had no discernible effect on small mammal population 'numbers or their use of the area. Mammal numbers rose equally from their May figures on all 3 types of plots. There was no differential preference for trail or interior use of the habitat, as indicated by equal captures in both trap locations. In mid-August, however, sludged plots yielded significantly greater Peromyscus numbers (twice as large) than found in Control or trail-only plots. .There' was insufficient time between sludge application and the August census (4-5 weeks) for this increase to reflect aug- mented nmmmml production in response to the treatment. The gestation period for both Peromyscus species is 21 days, but new mace do not usually leave their nests for the first 20 days <3f life and therefore would not be in the trapped population for at least 40 days following conception. Neither sex nor age ratios differed significantly between the 3 types of plots, although there were so few adults that such comparisons are suspect. Thus the increased mouse captures on.sludged plots were presumably due to differential 65 survival, or to a behavioral response by the animals to some change in their environment. An increase in survival might be attributed, for instance, to increased food avail- ability. Peromyscus spp. are fairly strongly insectivorous (Van Horne 1982), and forest fertilization may result in increased litter invertebrate populations (Weetman and Hill 1973) . Neither species of Peromyscus demonstrated a greater population on a given type of plot than did the other, nor did either show a greater increase between trapping periods. Juvenile and subadult fractions of the trapped populations were slightly higher on sludged plots, but not significantly so. This argues against attributing the increase to differential habitat use patterns by young mice, as a result of niche displacement, which Van Horne (1982) described in P. maniculatus in the northwest. Trapped populations of all animals in 1982 comprised over 90% re- captures for all plots by the final day of trapping, indi- cating that the estimated populations were reliable for comparative purposes. Most studies have failed to correlated P. leucopus and P. maniculatus spring and summer breeding with any identifiable, exclusively food-associated parameters, such as plant species diversity (Verts 1957, M'Colskey and Lajoie 1975). Jameson (1955) asserted that good mast years supported continued reproduction in Peromyscus through fall and into 66 winter, which led to high populations in the following year. This would not, however, account for a differential increase in midsummer on some parts of the study site. Specifically food-associated variables other than net above-ground vegetative production, woody species density and herb-shrub frequency were not examined in this study. Density, fre- quency, and annual production each failed to demonstrate a positive response (e.g. increased production) confined exclusively to sludged plots. For the primarily granivorous- insectivorous Peromyscus species occupying this habitat, the measured first year vegetative changes occurring on the area, (sludged or otherwise) such as increased ash seedling density, would not be expected to provide significant addi- tionaly food resources (the invading Egbgg did not produce fruit in the 1982 season). Several studies have looked for associations between Peromyscus numbers and habitat structural diversity or available vegetative cover at various heights; results pro- vide conflicting evidence. Peromyscus leucopus numbers have correlated positively with vegetation density below 7.6 cm but not above it (M'Closkey and Lajoie 1975), in- dicating that the herb-shrub profile may provide an important component in habitat utilization. Drickamer (Unpubl. data) found a positive association between structural complexity canopy l m or more above traps, and g, leucopus numbers, While 3. maniculatus numbers did not show any correlation 67 with those variables. Verts (1957) found no association between P, maniculatus populations and cover or lack of it, while Lobue and Durnell (1959) and Miller and Gretz (1977) reported negative P. maniculatus population responses to herb cover in their habitat. Van Horne (1982) separated cover into several categories (e.g. tree cover less than 1.5 m, seedling cover less than 1.5 m, shrub cover less than 25 cm), and found positive correlations between adult P, maniculatus densities and all forms of low cover except seedling cover, which had a negative association with mouse densities. Juvenile densities correlated negatively with the cover variables measured. There is, then some evidence linking higher P, maniculatus numbers, in particular, to a paucity of low-level vegetative cover. In this study, ‘both.species of Peromyscus appeared to increase equally in trumbers on sludged plots, and their combined numbers showed negative correlations with foliage height diversity and percent vertical cover in the 10-30 cm and greater than 2 m strata. This suggests that Peromyscus numbers may have been determined largely by the structure of their vegetative cover profile or a correlate of it. The strength of such an argument is somewhat weakened, however, by the 1981 mouse P0pulation figures. Any differences in habitat variables that might account for higher 1981 Peromzscus numbers on control plots than on plots designated to receive treatment were undocumented. All indications from 1982 vegetation measures suggest that for the vegetation variables measured, 68 the study site was homogeneous prior to treatment. Dice (1931) and Fitch (1979) maintain that Peromyscus distribu- tion is influenced by a behavioral habitat selection in reaction to visual and other stimuli associated with forests and prairies, and that a suite of interacting factors are probably responsible. Van Horne's (1982) and Drickamer's (1979; unpubl. data) data support this. The data from this study are not comprehensive enough over time or habitat measures to implicate any causal relationships between Peromyscus numbers and habitat characteristics. The results do indicate, however, that neither trail nor sludge treatment has a negative impact, in the senseof lowering a population even immediately post-treatment, on small mammal population :numbers or distribution. This was consistent with the findings of other forest fertilization studies (WOod and Simpson 1973, Bierei et al. 1975, West et al. 1981, Woodyard 1982). The appearance of jumping mice among captures in 1982 was not limited to either of the treatments or the controls, and therefore cannot be attributed to any known isolated habitat change. Studies of this animal's food habits (Whitaker 1963, Vickery 1978) indicate that they are simi- lar to those ‘of woodland deer mice, although jumping mice consume relatively fewer arthropods and more fungus. There- fore, there was no reason to suspect that the bait used in 1981 W0111d not have attracted jumping mice, had they been present. The study site was altered in general character, 69 however, by the creation of application trails and the wide, east-west access road between the northern study plots. Jumping mice are known to colonize recently cut, open wood- lands (Krull 1970, Kirkland 1977), suggesting that this species may have immigrated onto the study area after it was opened up by trail construction. Salamander Response The red-backed salamender is an entirely terrestrial salamander, and as such was the only species expected to occur in workably high densities throughout the study area. In a similar forest in New Hampshire, it comprised 93.5% of total salamander biomass, while remaining species occurred only along streams (Burton and Likens 1975). In the present study, red-backed salamander populations demonstrated no response to sludge treatment. Post-sludge censusing began 3 weeks after sludge treatment, after much of the sludge had dried sufficiently to produce a surface crust, but large pools still remain. Unfortunately, census procedures were too labor-intensive to allow for censusing control plot populations in order to investigate trail treatment effects on salaumnder populations. The disproportionately high number of salamanders seen in forest interiors compared to those seen in trails suggested that application trails do affect aboverground, rainy night foraging distribution. Jagger (1978) found that surface population densities of 70 red-backed salamanders (on or above soil level) remain in a steady state, even when the litter is dry, and are not correlated with temperature, soil depth or litter depth. However, the percent of the surface population in the litter (rather than under rocks and logs) is positively and sig- nificantly correlated with rainfall. Studies have found that foraging success was high in wet periods, and that during rainfall the salamanders shifted their microhabitat use upward from the litter-soil interface and foraged in- stead on top of the litter and on vegetation (Burton and Likens 1975, Burton 1976, Jaeger 1978). Although the present study did not attempt to analyze salamander habitat compo- nents, it was noted that many of the salamanders observed in interiors were crawling on the lower (below 1 meter) portions of tree trunks. Since trails lacked any vegetation above 1 m, and all tree trunks were cut as close to ground level as possible, it may be that vegetation and tree removal, in particular, rendered application trails sub- optimal above-grournd foraging habitat for red-backed salamanders. SUMMARY AND RECOMMENDATIONS Sewage sludge disposal on forest lands offers an attractive solution to a serious waste management problem. It allows significant nutrient reclamation while potentially stimulating increased production of both forest and wild- life resources. The response of a forest ecosystem to sludge amendment appears to depend heavily on the age and type of forest, the method of application, and the timing of appli- cation. This study examined the first-year response of a mature northern hardwoods forest to a single application of sludge, at commercial fertilizer loading levels, using a heavy equipment agricultural application technique. The technique required construction of a series of application trails throughout the forest, and this aspect of the treat- ment had significant effects on the forest that were inde- pendent of sludge effects. In the first growing season following trail construction, the trails appeared to alter plant community composition. They stimulated tree seedling and.stump sprout regeneration, favored some post-disturbance understory species, and suppressed other typically deep forest understory species. Application trails, by their 71 72 nature, altered forest structure by reducing canopy cover. Trails did not appear to affect small mammal population size or use of the area, but did appear to provide suboptimal foraging habitat for terrestrial salamanders. Sludge applied during the growing season reduced vege- tative vertical cover in lower strata and decreased seedling densities, through leaf and plant mortality. This appeared to be a short term response. Red-backed salamander popu- lations showed no effect from sludge application.‘ Peromyscus mice increased in number on sludged plots a month after sludge application, apparently due to a behavioral response; other small mammal populations showed no effects from.the sludge treatment. Sludge and trail construction together reduced vegetative structural diversity, but neither treatment affected small mammal species diversity. Other studies (Campa 1982, Woodyard 1982) have reported that sludge application to a young jack pine (Pinus banksiana) clearcut improved nutritive quality, digestibility, and productivity of wildlife forages, increased (small) mammal diversity, and may have accelerated ecosystem succession. Thus sludge amendment of forest soils can help achieve a variety of common wildlife management objectives. The present study identified some immediate effects of sludge and its application using a specific technique, in a mature northern hardwoods forest. The application technique required cutting trails through the forest, which set back succession and favored plant species uncommon to 73 woodlands in the narrow, localized strips. In addition, it opened the forest and ”apparently stimulated strong regenerative efforts by some dominant climax tree species while others suffered seedling density losses. Certain of the favored species, such as brambles and sugar maple stump sprouts, are highly preferred foods for browsing herbivores. The immediate effects of sludge on vegetation were primarily destructive, causing understory stem density and cover losses, and combining with trail cutting to reduce vegetative structural complexity. Such damage to existing plants by the sludge itself may be avoided by applying sludge when plants are dormant, such as autumn or early spring. Over time, forest fertilization may lead to increased net primary production, encouraged in addition by forest thinning such as that achieved by the sludge application trails. In a mature forest such as this one, fertilization and/or thinning may not change timber production appreciably, (Ellis 1979, Koterba et al. 1979, Sopper and Kardos 1979, Stone et al. 1982), but fruit and seed.production may in- crease (Weetman and Hill 1973, Daniel et a1. 1979) and some understory plants may flourish (Anthony and WOod 1979, Auchmoody 1979, Koterba et a1. 1979). Such changes may alter animal community composition, and/or support its in- creased production. Any potential wildlife and forest resource benefits from these changes must be evaluated in light of the costs I 74 associated with the application technique, which is costly both in terms of equipment and site preparation. Future re- search should compare the relative costs and benefits of this application procedure with a more economical, less radical one, such as one using heavy irrigation spray equipment. The potential bioaccumulation and toxicity and food chain transfer of sludge constituents in forest flora and. fauna, including litter-dwelling invertebrates and herpeto- fauna, are virtually unknown. These topics need study before the environmental soundness of widespread sludge application to forests can be evaluated. Forest land application of sewage sludge is a feasible habitat management and waste disposal technique. However, mature forests present technical challenges to application which need further experimentation and assessment. The benefits derived from sludge fertilization and forest thinning may not outweigh the costs of the procedure investigated in this study, for most wildlife management objectives. Sludge is, however, a relatively inexpensive, readily avail- able fertilizer which presents a potentially useful habitat management tool. It may be used, in various situations, to increase forage production and nutritive quality, to alter ecosystem succession, and to change plant and animal community composition and structure. LITERATURE CITED LITERATURE CITED Anthony, R. G. and G. W. WOod. 1979. Effects of municipal wastewater irrigation on wildlife and wildlife habitat. p. 213-223 .23 W. E. Sopper and S. N. Kerr, eds. Utilization of municipal sewage and sludge on forest and disturbed land. Penn. State University Press, University Park. 537 pp. Auchmoody, L. R. 1979. Nitrogen fertilization stimulates germination of dormant pin cherry seed. ' Can; J. Egg. Reg. 9: 514-516. Bicknell, S. H. 1982. Development of canopy stratification during early succession in northern hardwoods. Forest Ecol. and Manage. 4:41-51. Bierei, G. R., G. W. WOod and R. G. Anthony. 1975. POpula- tion response and heavy metal concentrations in cottontail rabbits and small mammals in wastewater irrigated habitat. pp. 1-9 '12 G. W. Wood et al., eds. Faunal response to spray irrigation of chlorinated sewage effluent. Institute for Research on Land and Water Resources, Pub. no. 87. Penn. State Univ. Press, University Park. 89 pp. Bormann, F. H. et a1. 1970. The Hubbard Brook Ecosystem Study: Composition and dynamics of the tree stratum. Ecol. Monographs. 40: 373-388. ' Bormann, F. H. and G. E. Likens. 1979. Pattern and process in a forested ecosystem. Springer-Verlag, New York, N.Y. 253 pp. Brower, J. E. and J. H. Zar. 1977. Field and laboratory methods for general ecology. Wm. C. Brown, Dubuque, Iowa. 194 pp. Burton, T. M. 1976. An analysis of the feeding ecology of the salamanders (Amphibia, Urodela) of the Hubbard Brook Experimental Forest, New Hampshire.‘ J. Herp. 10: 187-204. 7 75 76 Burton, T. M., and G. E. Likens. 1975. Salamander popu- lations and biomass in the Hubbard Brook Experimental Forest, New Hampshire. Copeia. 1975(3): 541-546. Campa, H., III. 1982. Nutritional response of wildlife forages to municipal sludge application. M.S. Thesis. Michigan State University, East Lansing, Michigan. 88 pp. . Chaney, R. L. 1973. Crop and food chain effects of toxic elements in sludges and effluents. pp. 129-141. In Recycling municipal _sludges and effluents on Iand. Nat. Assoc. State Univ. and Land-Grant Colleges, Washington, D.C. Chew, V. 1976. Comparing treatment means: A compendium. Hortscience. 11: 348-357. Daniel, T. W}, J. A. Helms and F. S. Baker. 1979. Princi- ples of silviculture. 2nd Ed. ‘McGraw-Hill, New York, N.Y. 500 pp. Dice, L. R. 1931. The relation of mammalian distribution to vegetation type. Scientific MOnthly, 33: 312- 317. Douglass, R. J. 1977. Effects of a winter road on small mammals. J, Appl. Ecol., 14: 827-734. Drickamer, L. C. (Williams College, Massachusetts) Unpubl. data. 1981. Seminar on Peromyscus leucopus and P, maniculatus gracilis. Michigan State University Dept. of ZooIOgy. Ellis, R. C. 1979. Response of crop trees of sugar maple, white ash, and black cherry to release and ferti- lization. Can J, For. Res. 9:179-188. Fitch, J. H. 1979. Patterns of habitat selection and occur- rence in the deermouse, Peromyscus maniculatus. Michigan State University, Publications of the Museum Biological Series. Gysel, L. W. and L. J. Lyon. 1980. Habitat analysis and evaluation pp. 305-327 In S. D. Schemnitz, ed. Wildlife management techniques manual. 4th ed. The Wildlife Soc., Washington, D.C. 686 pp. Haigh, G. (Michigan State University, Dept. of Zoology), personal communication. Haufler, J. B. et a1. Unpubl. data. 1982. Influences on wildlife populations of the application of sewage sludge to upland forest types; annual report: Oct. 1981-Oct. 1082. 37 pp. 77 Jaeger. R. G. 1978. Plant climbing by salamanders: perio- dic availability of plant-dwelling prey. Copeia. 1978(4): 686-691. Jameson, E. W. 1955. Some factors affecting fluctuations of Microtus and Peromyscus. J. Mammal., 36: 206- 209. . Kirkland, G. L. 1977. Responses of small mammals to the clearcutting of northern Applachian forests. J. Mammal., 58: 600-609. _ Koterba, Mr T., J. W. Hornbeck, and R. S. Pierce. 1979. Effects of sludge applications on soil water solution and vegetation in a northern hardwood stand. J. Environ. anl., 8: 72-78. Krebs, C. J. 1966. DemOgraphic changes in fluctuating populations of Microtus califOrnicus. Ecol. Mbnog. 36: 240-273. Krull, J. N. 1970. Small mammal populations in cut and uncut northern hardwood forests. New York Fish and Game Journal, 17: 128-130. Leak, W. B. and D. S. Solomon. 1975. Influence of residual stand density on regeneration of northern hardwoods. USDA Forest Serv. Res. Pap. NE-310. 7 pp. Lobue, J. and R. M. Durnell. 1959. Effect of habitat dis- burance on a small mammal population. J, Mammal. 40: 425-437. Marks, P. L. 1975. On the relation between extension growth and successional status of deciduous trees of the northeastern United States. Bull. of the Torrey 'Bot. Club. 102: 172-177. Marquis, D. A. 1965. Regeneration of birch and associated hardwoods after patch cutting. USDA Forest Service Research Paper NE-32. M'Closkey, R. T. and D. T. Lajoie. 1975. Determinants of local distribution and abundance in white-footed mice. Ecology 56: 467-472. Michigan State University. Department of Forestry. Unpubl. data. 1982. Ecological monitoring of sludge ferti- lization on state forest lands in northern lower Michigan; annual report, 1982. 52 pp. 78 Miller, D. H. and L. L. Getz. 1977. Factors influencing local distribution and species diversity of forest small mammals in New England. Can. J. Zool. 55: 806-814. National Academy of Sciences. 1978. Municipal sludge management: Environmental factors. NTIS Report PB 277 622. Washington, D.C. 152 pp. NOAA (National Oceanographic and Atmospheric Assn. ). 1981. Climatological data, annual summary, Michigan. Vol. 96. NOAA. 1981-1982. Climatological data, August 1981-August 1982 (by month), Vols. 96 and 97. Safford, L. O. 1973. Fertilization increases diameter growth of birch-beech-maple trees in New Hampshire. USDA-F8 Research Note NE-182, Broomall, PA. 4 pp. Schmid, J. , D. Pennington and J. iMcCormick. 1975. Eco-i logical impact of the disposal of municipal sludge onto the land. pp. 156- 168 In National Conf. on Municipal Sludge Management and Disposal, 2d, Anaheim,, California, 1975. Proceedings. Rockville, MD, Information Transfer, Inc. 237 pp. Snedecor, G. W. 1956. Statistical methods. 5th ed. Iowa State Press, Ames, IA. 534 pp. Sopper, W. E. 1975. Wastewater recycling on forest lands. In Forest soils and forest land management. Pro- ceedings of the 4th North American Forest Soils Conference, Laval University, 1973. B. Bernier and C. H. Winget eds. Quebec, Les Presses de l' Universite Laval. 675 pp. Stearns, F. 1951. The composition of the sugar maple- hemlock-yellow birch association in northern Wisconsin. Ecology. 32: 245-265. Steel, R. G. and J. H. Torrie. 1960. Principles and pro- cedures of statistics. McGraw-Hill, New York, NY. 481 pp. Stone, D. M., S. G. Shetron and J. Peryam. 1982. Ferti- lization fails to increase diameter growth of sawlog- size northern hardwoods in upper Michigan. Forestry Chronicle. 58: 207-210. 'Turkq A., R. C. Haring and R. W. Okey. Odor control technology. Env. Science and Tech. 6:602. 79 U.S. Dept. of Agriculture. 1971. 'Common‘weeds of the United States. Dover Publications, New York, NY“ 463 pp. Van Horne, B. 1982. Niches of adult and juvenile deer mice (P, maniculatus) in seral stages of conifer forests. Ecology 63: 992-1003. Verts, B. J. 1957. The population and distribution of 2 species of Peromyscus in some Illinois strip- mined land. J: Mammal. 38: 53-59. ' Vickery, W. L. 1979. Food consumption and preferences in wild populations of Clethrionomys a eri and Napaeozapus insignis. Can. J, Zool. 57 I536- 1542. Weetman, G. F. and S. B. Hill. 1973. General environmental and biological concerns in relation to forest fertilization, p. 19-35 In Forest fertilization symposium proceedings. USDA Forest Service Gen. Tech. Rep. NE-3. 246 pp. West, S. D., B. D. Taber and D. A. Anderson. 1981. Wild- life in sludge-treated plantations. Pages 115-122 Jg C.S. Bledsoe, ed. Municipal sludge application to Pacific northwest forest lands. Univ. of Washington, Seattle, WA. 432 pp. Whitaker, J. O. 1963. Food, habitat and parasites of the woodland jumping mouse in central New York. J. Mammal. 44: 316-321. Wollum, A. G. and C. B. Davey. 1975. Nitrogen accumulation, transformation, and transport in forest soils. pp. 67-108 In Forest soils and forest land manage- ‘ment, Proc. 65 the 4th North American Forest Soils Conf., Laval University, 1973. B. Bernier and C. H. Winget, eds. Quebec, Les Presses de l'Uni- versité Laval. 675 pp. Wood, C. W. and D. W. Simpson. 1973. Effects of spray irrigation of treated sewage effluent on wildlife. Trans. N.E. Fish and Wildlife Conf. 29: 84-90. Woodwell, G. M. 1977. Recycling sewage through plant communities. American Scientist. 65: 556-562. Woodyard, D. K. 1982. Wildlife response to sludge appli- cation. M.S. Thesis. Michigan State University, East Lansing, Michigan. 64 pp. APPENDIX APPENDIX List of vascular plants on the northern hardwoods study site,'Montmorency Co., MI, summer 1982. Common Name Scientific Name Indian cucumber-root Wild sarsaparilla Spikenard Bellwort Hooked crowfoot Sweet cicely Trillium Starflower Bedstraw Woodland strawberry White baneberry Fringed polygala Violet Brambles Columbine Small Solomon's seal False Solomon's seal Canada‘mayflower waterleaf Common mullein Rattlesnake plantains Indian pipe Pyrola Pipsissewa 'Wintergreen Partridgeberry Enchanter's nightshade White lettuce Heart-leaved aster Dogbane Willow-herb Hop clover Troup lily Sedge Leather wood Medeola virginiana Aralia nudicaulis Aralia racemosa Uvularia grandiflora Ranunculus recurvatus Osmorhiza claytonii Trillium grandiflorum Trientalis borealis Galium.aparine Fragaria vesca Actaea pachypoda Polygala paucifolia Viola spp. Rubus spp. Aquilegia canadensis Polygonatum pubescens Smilacina racemosa Maianthemum canadense Hydrophyllum virginianum Verbascum spp. Goodyera spp. MonotrOpa uniflora Pyrola spp. Climaphila umbellata Gaultheria procumbens Mitchella repens Circaea quadrisulcata Prenanthes alba Aster cordifolius Apocynum spp. Epilobium.spp. Trifolium.agrarium Eurythronium americanum Carex spp. Dirca palustris 80 APPENDIX (cont ' d.) 81 Common Name Scientific Name Eastern hophornbeam American beech American basswood Sugar maple ‘ Red maple Striped maple White ash Eastern hemlock Red oak Paper birch Yellow birch Viburnum Juneberry Pin cherry Aspen Balsam.fir Dogwood Ostrya virginiana Fagus grandifolia Tilia americana Acer saccharum Acer rubrum Acer pensylvanicum Fraxinus americana Tsuga canadensis Quercus rubra Betula papyrifera Betula lutea Viburnum spp. Amelanchier spp. Prunus pensylvanica Populus spp. Abies balsamea Cornus spp.