LIBRARY Michigan State University PLACE IN RETURN BOX to remove this checkout from you: tocord. TO AVOID FINES Mum on or baton duo duo. DATE DUE DATE DUE DATE DUE . ll IL: 2— msu In An Affirmufive ActioNEqual Oppomnhy Institution 7 7 cMMpma-pi —— ,7- , IRE-3C1 '1. 1'" “‘AL m9:?'V‘ ‘h.htugb‘: DIRECT AND INDIRECT EFFECTS OF THE BLACK FLY (DIPTERA: SIMULIIDAE) LARVICIDE, W W VAR. ISRAELEHSIS, ON SELECTED NON-TARGET AQUATIC INSECTS AND TROUT By Mark Steven Wipfli A DISSERTATION Submitted to Michigan State University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Department of Entomology 1992 6525‘ * 0 7.3" 7 ABSTRACT DIRECT AND INDIRECT EFFECTS OF THE BLACK FLY (DIPTERA: SIMULIIDAE) LARVICIDE. BADJLLIIS WIS VAR. ISRAELEHSIS, ON SELECTED NON-TARGET AQUATIC INSECTS AND TROUT By Mark Steven Wipfli Field and laboratory studies were conducted to investigate the direct and indirect effects of the microbial insecticide, Ms W var. W de Barjac (Teknar®) (ELL), on non-target aquatic insects and trout. Streamside experiments conducted in artificial channels showed that two of the 16 species tested were sensitive to BALL applied at unusually high dosages (> 100 ppm ELL). No insect species were killed when ELL was applied at the recommended 22 ppm @ 1 min dosage. Predators and detritivores consumed ELL-contaminated black fly larvae without observable adverse effects on survivorship, growth, adult emergence success, and adult emergence phenology. Some detritivores (Ephemeropteira) attained greater growth rates on diets containing dead black fly larvae than those without dead larvae. Trout were not sensitive to ELL, except at rates >100,000 times the labeled rates, and trout mortality was attributed to formulation components. In-stream studies revealed that the diets of predatory stoneflies were qualitatively and quantitatively affected after ELL applications, with one perlid species switching to alternate F choice trid- biasli flies tween b? ‘ mayflies 0 target org: affected 0' alternate prey after black flies were removed from the stream system. Prey choice trials with predators indicated that perlodid stoneflies relied more on black flies than mayfly prey. Perlid stoneflies showed no preference between black flies and mayflies, and predatory odonates consumed more mayflies than black fly larvae. These studies indicated that, overall, non- target organisms were not directly sensitive to ELL, but were indirectly affected through loss of black fly biomass following ELL application. I express 5: humored sup; much indepen Miller, Jean S all aspects of John Giesy, R Roger Wotton Procedures. MCCaflmy. a “MmTaa teChIlicall and mm for g:- exCEllent 59C. Valuable hel; Sllppon t-llI‘C Students for Ol'er the pa“ ACKNOWLEDGMENTS I express sincere thanks to Dr. Richard W. Merritt for his good- humored support and help throughout this endeavor, and for allowing me much independence. Many thanks to Drs. Bill Cooper, Don Hall, Jim Miller, Jean Stout, and Matt Zabik for all of their valuable assistance with all aspects of this research. I thank Drs. David Allan, Jan Ciborowski, John Giesy, Ron Hall, Barbara Peckarsky, Bill Taylor, Ned Walker, and Roger Wotton for many helpful suggestions on experimental design and procedures. Thanks to Drs. Peter Adler, Bill Hilsenhofi', Patrick McCafl‘erty, and Stan Szczytko for insect identifications. A sincere thanks to Alan Tessier for his advice on statistics, and Bill Morgan for all of his technical and computer advice. Sincere thanks to Russ Edens and Bill LaVoie for good-natured and tireless field assistance. I also thank the excellent secretarial stafi' in the MSU Entomology Dept. for all of their valuable help. I also want to thank Kaja Brix for her unsurpassed patient support throughout this endeavor. I also thank numerous graduate students for their support, thought provoking discussions, and friendship over the past several years. iv TABLE OF CONTENTS LIST OF TABLES ...................................................................... LIST OF FIGURES ................................................................... INTRODUCTION ..................................................................... CHAPTER 1 PORTABLE ARTIFICIAL STREAMS FOR FIELD AND LABORATORY EXPERIMENTS WITH AQUATIC MACROINVERTEBRATES. ......................................... ABSTRACT ......................................................................... INTRODUCTION ................................................................ MATERIALS AND METHODS .............................................. RESULTS ............................................................................ DISCUSSION ...................................................................... ACKNOWLEDGMENTS ....................................................... LITERATURE CITED .......................................................... CHAPTER 2 NON -TARGET IMPACT OF EAQILLLIS W VAR. W IN A LOTIC SYSTEM: DIRECT LETHAL AND SUBLETHAL FOOD-CHAIN EFFECTS ON SELECTED AQUATIC INSECTS, AND FATE OF INTOXICATED BLACK FLY (DIPTERA: SIMULIIDAE) LARVAE. .................................................................. ABSTRACT ......................................................................... INTRODUCTION ............. MATERIALS AND METHODS .............................................. RESULTS ............................................................................ DISCUSSION ...................................................................... ACKNOWLEDGMENTS ....................................................... LITERATURE CITED .......................................................... ix 238388885653 assesses 11 Ca. DIRI .ABS' 1):? BLAT “‘V‘ DIS( ACPE LITE CHAJU: POP” .ABS‘ IDFIE BL¥T RES: DISC .ACI: LITE R3003; CHAPTER 3 DIRECT AND INDIRECT EFFECTS OF THE MICROBIAL INSECTICIDE EAQ ILLUS W VAR. WIS ON BROOK, SALVELIE US WALLS; BROWN, SALMQ IRMA; AND STEELHEAD, W MIXES TROUT. ........................... ABSTRACT ......................................................................... INTRODUCTION ................................................................ MATERIALS AND METHODS .............................................. RESULTS ............................................................................ DISCUSSION ...................................................................... ACKNOWLEDGMENTS ....................................................... LITERATURE CITED .......................................................... CHAPTER 4 POPULATION LEVEL DISTURBAN CE FROM EAQILLHS WELLS VAR. W IN STREAMS: PREDATION RESPONSES OF MACROINVERTEBRATE PREDATORS. ............................................................. ABSTRACT ......................................................................... INTRODUCTION ................................................................ MATERIALS AND METHODS .............................................. RESULTS ............................................................................ DISCUSSION ...................................................................... ACKNOWLEDGMENTS ....................................................... LITERATURE CITED .......................................................... RECOMMENDATIONS ............................................................ 15) . LIST OF TABLES CHAPTER 1 Table 1. Predation experiments conducted to test the performance of the 40 channel artificial stream unit. ...................................... Table 2. Experiments conducted to test the performance of the 40 channel artificial stream unit. ............................................... Table 3. Predation and predator mortality rates during predation experiments using the 40 channel artificial stream unit. .......... Table 4. Mortality rates, cumulative molt, and emergence of aquatic insects during collector-shredder-grazer experiments using the 40 channel artificial stream unit. ........................................... CHAPTER 2 Table 1. Insect taxa used to test the impact of ELL on non-target aquatic insects. .................................................................... Table 2. Experimental variables and parameters of streamside studies examining the impact of ELL on predatory macroinvertebrates, conducted in artificial channels. .............. Table 3. Experimental variables and parameters of streamside studies examining the impact of ELL on stream macroinvertebrates from selected fimctional feeding groups (shredders, grazers, filter-feeders), conducted in artificial _ channels. ............................................................................ Table 4. Experimental variables and parameters of streamside studies examining drift frequency during and predation rates of three predatory stoneflies following ELL exposure, conducted in artificial channels. ............................................................... Table 5. Predation, percent mortality, percent adult emergence success, adult emergence phenology, and growth of predatory aquatic insects exposed to ELL directly or indirectly through ingesting contaminated black flies. ........................................ 67 Table 6. Consumption of black flies, percent mortality, percent adult emergence success, adult emergence phenology, and growth of selected shredders, grazers, and filter-feeders exposed to ELL directly or indirectly through ingesting contaminated black flies. 70 Table 7. Time spent drifting during ELL exposure and subsequent predation on black fly larvae after ELL exposure, with three predatory stoneflies. ............................................................. 74 CHAPTER 3 Table 1. Trout species and length, ELL concentration, nature (viable or nonviable) and exposure period, test duration, and number of replicates per treatment used for trout toxicity tests. . 98 Table 2. L050 values for 2.2 cm long brown and 1.8 cm long brook trout exposed to ELL for 48 hr. ............................................... 110 CHAPTER 4 Table 1 . Density estimates of macroinvertebrate prey in Medora and Manganese Rivers 1 d before starting population level disturbance experiments (11 = 5). .............................................................. 139 Table 2. Mean number of macroinvertebrate prey items in foreguts of Amanda Mas collected from Medora River, and Melina media collected from Manganese River, 1 d before starting Medora-Manganese Rivers population level disturbance experiments (n = 10). ............................................................ 141 Table 3. Mean mass gain and their corresponding instantaneous growth rates (IGR) of m lyegzjgs nymphs fed five Simlimn- Egg-Lia ratios over 6 d (n: 4). ................................... 149 CPA? l E Figure 1 fin'a: three pl}v Figure 1 Clair Figure aqin CB) stre LIST OF FIGURES CHAPTER 1 Figure 1. Diagrammatic representation of the artificial stream unit for aquatic macroinvertebrate studies. (D) delivery hose, (S) threaded sleeve, (H) holding pipe, (I) input tube, (C) channel, (P) plywood platform, (E) exit tube, (0) outflow pipe, (S.F.) steel frame. Figure 2. Artificial stream unit (A), and channels with (top two channels) and without (bottom two channels) screen collars (B). Figure 3. Diagrammatic representation of an artificial channel for aquatic macroinvertebrate studies (A) without screen collar, and (B) with screen collar. ........................................................... Figure 4. Gravity-feed pipes (A), 2 water filtration barrels (B), dispensing bucket (C), delivery hoses (D), and two artificial stream units (E) during streamside experiments. ..................... CHAPTER 2 Figure 1. Diagrammatic representation of experimental design used to measure in-stream mortality of Chironomidae following Bacillus thunneisnsis var. israelensis application. AP = 13.1.1. application point. ................................................................. Figure 2.1n-stream Chironomidae densities (A.) 'ABOVE vs. BELOW‘ and (B. ) 'BEFORE vs. AFTER' Bacillus Lhmjngiensis var. W applications. [ns= not significant @ p= 0.05]. Figure 3. Ma abfigminalis mortality 'ABOVE vs. BELOW‘ during in-stream ELL applications. Error bars represent S.E. [ns = not significant @ p = 0.05]. .......................................................... Figure 4. Percent larval black fly decomposition and release from their attachment sites following Bacillus W var. 15mm application during (A.) May, and (3.) July, 1990. Error bars represent S.E. ...................................................... 75 78 yl Figure 5. Pt their at‘u icfaslsrj 2 Error be Figure 6. P4 exposure depositio reaches. Clitl’l'ER E Figure 1. P4 hr expos: different (p<0.05 ,1, Figure 2. Pt erposure viable an l€tters {5 (Trial 2). belWeen (Trials 3 “We 3. P Exposure represer baI’E re; Figure 4. F expose] Signifie. Signifig' I Figure 5. Percent larval black fly decomposition and release from their attachment sites following Emma W var. W5 application during (A. ) April, and (B. ) June, 1991. Error bars represent S. E. ...................................................... Figure 6. Percent black fly mortality, in artificial streams, from exposure to 'ELL-tainted' and clean sediments collected from depositional zones within ELL-treated and untreated river reaches. Error bars represent S.E. ......................................... CHAPTER 3 Figure 1. Percent brown trout egg emergence over 26 (1 following 48 hr exposure to varying ELL concentrations. Bars headed by different letters represent significant difference between means (p<0.05). Error bars represent S.E. ......................................... Figure 2. Percent brown trout mortality over 7 d following 48 hr exposure to varying ELL concentrations (Trials 2-5), comparing viable and nonviable ELL (Trials 3-5). Bars headed by different letters represent significant difference between means (p<0.05) (Trial 2). Bar pairs headed by * signifies statistical difference between means (p<0.05), ns = not significant, nc = not calculated (Trials 3-5). Error bars represent S.E. ..................................... Figure 3. Percent brown trout mortality over 7 d at 0, 12, 36, and 48 hr exposure to 2000 ppm ELL Bars headed by different letters represent significant difference between means (p<0.05). Error bars represent S.E. ............................................................... Figure 4. Percent steelhead trout mortality over 5 d following 24 hr exposure to varying ELL concentrations. Bar pairs headed by * signifies statistical difference between means (p<0.05), ns = not significant, nc = not calculated. Error bars represent S.E. ........ 104 105 106 108 Figure 5. PE exposure viable an letters re : DOI Cal' statisticz nc = not Figure 6. E steelhea gills vn't Exposed shoving particul Figure 7. I blood ta hr. (A. Figure 8. ' in three were tn Exposed no Bil differer CRAVE}; Flgllre 1. ‘0 mea AP=E Figum 2. the Me Signifi C Ower Figure 5. Percent brook trout mortality over 7 d following 48 hr exposure to varying ELL concentrations (Trials 11-13), comparing viable and nonviable ELL (Trials 12-13). Bars headed by different letters represent significant difference between means (p<0.05), nc = not calculated (Trials 11&13). Bar pairs headed by * signifies statistical difference between means (p<0.05), ns = not significant, nc = not calculated (Trial 12). Error bars represent S.E. ........... Figure 6. Scanning electron micrographs of gills dissected from steelhead trout exposed to 2000 ppm ELL for 4 hr. A. Exposed gills with no particulate and mucous accumulation (2000X). B. Exposed gills showing particulates (2000X). C. Exposed gills showing mucous layer (2000X). D. Exposed gills showing no particulates or mucous (2000X). ............................................. Figure 7. Percent 02 saturation (A), and 002 partial pressure (B). of blood taken from steelhead trout exposed to 4000 ppm ELL for 4 hr. (A. 0.050.10). Error bars represent S.E. ......... Figure 8. Thirty day steelhead trout growth (increase in body length) in three treatments, 1) trout fed excess black fly larvae for 5 d that were treated with 30 ppm ELL for 24 hr, 2) same but trout also exposed to 30 ppm ELL for 24 hr, 3) control treatment where trout were fed excess live black fly larvae over 5 d and water contained no ELL Bars headed by the same letters represent no significant difference between means (p>0.10). Error bars represent S.E. CHAPTER 4 Figure 1. Diagrammatic representation of experimental design used to measure diet changes of Ammua lycgzias following Eamllns Lhmjngiensjfi var. imelensis disturbance, in Manganese River. AP= ELL application point. .................................................. Figure 2. Macroinvertebrate content in the foreguts of AM 119911135 nymphs BEFORE and AFTER disturbance from ELL in the Manganese River disturbance experiment (11 = 6). [ns = not significant @ p = 0.05, "' = p < 0.05, ** = p < 0.01, *** = p < 0.001] [Power (= 1 - beta); A. = 0.95, B. = 0.10, C. = 0.79, D. = 0.94]. ........ 109 111 113 114 130 137 Figure 3. .\ the Man signifies [Power ( Figure 4. 1‘ MR Mangan 0.05, " 10d : 0.6 = 0.98 8; 0.28]. Figure 5. l the Med (115 = n01 0.001] [F 10d : 0. Figure 6. F stream the 5am. P=005 and BL, GXpex-im (HS = I10 0.0011 {2' 0.41, U! Figure 3. Macroinvertebrate content in the foreguts of Annamaria magma nymphs ABOVE and BELOW disturbance from ELL in the Manganese River disturbance experiment (11 = 6). [ns = not significant @ p = 0.05, * = p < 0.05, ** = p < 0.01, *** = p < 0.001] [Power (= 1 - beta); A. = 0.52, B. = 0.08, C. = 0.42, D. = 0.80]. ........ Figure 4. Macroinvertebrate content in the foreguts of Acmnaazia Wand EaLagnaLina madja nymphs BEFORE (= 0d) and AFTER (= 5d & 10d) disturbance from ELL in the Medora and Manganese Rivers (n=10). [ns = not significant @ p = 0.05, * = p < 0.05, ** = p < 0.01, *** = p < 0.001] [Power ( = 1 - beta); A. 5d = 0.62 & 10d = 0.67, B. 5d = 0.27 & 10d = 0.27, C. 5d = 0.57 & 10d = 0.67, D. 5d = 0.98 & 10d = 0.94, E. 5d = 0.57 & 10d = 0.52, F. 5d = 0.27 & 10d = 0.28]. ................................................................................... Figure 5. Macroinvertebrate content in the foreguts of Ma Matias nymphs ABOVE and BELOW disturbance from ELL in the Medora-Manganese Rivers disturbance experiment (n = 10). [ns = not significant @ p = 0.05, * = p < 0.05, ** = p < 0.01, *** = p < 0.001] [Power (= 1 - beta); A. 5d = 0.89 & 10d = 0.53, B. 5d = 0.05 & 10d = 0.05, C. 5d = 0.89 & 10d = 0.53]. ........................................ Figure 6. Predation on three prey taxa by A. Ismla signata and B. Earagnatina madja during prey choice experiments conducted streamside in artificial channels (n=10). [prey taxa followed by the same letter within each graph are not statistically different @ p = 0.05] [Power (= 1 - beta); A. = 0.86, B. = 0.11]. ........................ Figure 7. Mean number of prey consumed between M m and Eamgnatjaa madja predators during prey choice experiments conducted streamside in artificial channels (n=10). [ns = not significant @ p = 0.05, * = p < 0.05, ** = p < 0.01, *** = p < 0.001] [PoWer (= 1 - beta); Simaliam = 0.07, Eaefia = 0.47, Em: 0.41, total = 0.24. ................................................................... 138 143 (Power = significa PWFP” emiron. Figure 8. Feeding response curves for A. mm B. Impedadicala. and C. Manages. over a range ofBaetis and Sinnfljam prey compositions. [Difference between slopes of the two regression lines tested at p = 0.05; A. no significant difference (Power = 0.84), B. significantly different (Power = 0.98), C. significantly different (Power = 0.98)]. Lines represent a constant prey proportion consumed by predators over increasing % prey in environment. xiii INTRODUCTION Eacfllaa maringiansja var. imalansia de Barjac (ELL) is a bacterium applied to lotic systems for reducing black fly (Diptera: Simuliidae) populations both experimentally and in some large scale control programs. Discovered in the 19708 (Goldberg and Margalit 1977), ELL use has increased over the years in North America and world-wide (WHO 1979, Gaugler and Finney 1982, Lacey and Undeen 1987). It targets the larval stages of black flies to ultimately reduce adult populations. Reducing adult populations of black flies is important for medical and economic reasons. Some species of black flies carry and transmit Onchocerciasis (or "river blindness"), a disease caused by the nematode Qnghacama Was, that affects humans in much of tropical Africa and South America (Philippon 1987). Over 20 million people are estimated to suffer some degree of vision impairment due to this disease (Molloy 1984). Black flies also cause losses in animal agriculture throughout the world (Fredeen 1985, Cupp 1987). These effects include death or morbidity, reduced milk and meat production, and reproductive dysfunction. In addition, black flies are commonly a nuisance and interfere with many human outdoor activities including recreation, lumbering, mining and building activities during spring and summer (J amnback 1969, Fredeen 1977, Newson 1977, Merritt and Newson 1978, Kim and Merritt 1987). ELL is a desirable black fly control agent, due to its efficacy and apparent minimal non-target effects (Molloy and J amnback 1981, Lacey et aL 1981C Dejoux et Undeen 15 are susce} accumula' have an a proteolyti inclusion remove < Merritt e' Bil. is a results if death (D1 Gill et al Unllifies 1990). The e thoroug} hi‘Sting i; 2 al. 1982, Colbo and O'Brien 1984, Pistrang and Burger 1984, Back et al. 1985, Dejoux et al. 1985, De Moor and Car 1986, Gibbs et al. 1986, Lacey and Undeen 1987, Merritt et al. 1989, Lacey and Mulla 1990). Black fly larvae are susceptible to ELL for three primary reasons; they physically accumulate and ingest the bacterial particles via their filter feeding, they have an alkaline midgut, and they have the proper complement of proteolytic enzymes that dissolve and active the toxin-containing parasporal inclusion bodies (Lacey and Mulla 1990). Feeding black fly larvae passively remove < 200 um sized particulates from the water column (Wotton 1977, Merritt et al. 1978, Ross and Merritt 1987), thus ingest ELL particles, when ELL is applied to streams. Their alkaline midgut and associated enzymes results in binding of the toxic crystal to the larval gut wall, leading to larval death (Dubois and Lewis 1981, Aronson et al. 1986, Lacey and Mulla 1990, Gill et a1. 1992). The absence of any of these three factors reduces or nullifies the susceptibility of a given species to ELL (Lacey and Mulla 1990). The environmental impact of ELL for black fly control should be studied thoroughly before large-scale control programs are implemented. Rigorous testing is necessary to measure potential detrimental effects on lotic systems, including the effects on non-target organisms. Some of these effects may include 1) direct toxicity to non-target organisms, 2) indirect lethal and sublethal impacts on non-target organisms (i.e., consumers of ELL-contaminated larvae), and 3) food web disturbance afier black fly prey biomass removal. Several investigators have studied some aspects of ELL effects on non- target strea and investig mortality 01 and dovmst the literatu reductions r Mirna et a1. Car and De al 1986, Me pseudorepli. studies to d Some ne susceptible 1981, Gaug 1986,1353: et al. 1989 ”DOM Stream. PiStrar, Ephemera De Moor (ll atmbute ”Matte target stream organisms. Most of these studies have been field oriented and investigated invertebrate drift, population fluctuations, or direct mortality of non-target organisms either 'above and below' (= upstream and downstream), or 'before and after' a ELL-application . The majority of the literature reports little if any direct mortality on and population reductions with non-target organisms (Colbo and Undeen 1980, Ali 1981, Miura et al. 1980, Molloy and Jamnback 1981, Lacey et al. 1982, Burton 1984, Car and De Moor 1984, Pistrang and Burger 1984, Back at al. 1985, Gibbs et a1. 1986, Merritt et al. 1989, Xenon 1990, Lacey and Mulla 1990). However, pseudoreplication (Hurlbert 1984) has plagued interpretations of many field studies to date. Some nematoceran Diptera (other than black flies and mosquitoes) are susceptible to the toxin, especially Chironomidae (Miura et al. 1980, Ali 1981, Gaugler and Finney 1982, Car and De Moor 1984, De Moor and Car 1986, Lacey and Undeen 1987). Mortality of Chironomidae genera; Enkiafljemna , EQlypadjhm (Back et al. 1985) and Wm (Merritt et al. 1989) was observed following ELL-applications. Back et al. (1985) reported mortality in Blephariceridae after applying ELL to a Canadian stream. Pistrang and Burger (1984) observed increased drift of some Ephemeroptera and Trichoptera in response to ELL-applications. Car and De Moor (1984) found increased mortality in some Ephemeroptera, but attributed mortath to the handling of these organisms. Apparent population increases of certain Plecoptera, Coleoptera, non-target Diptera, 31—:— I [in-m TrichoptE! in some or: increases A majr changes 0 precision may be ur nature of Few it on fish, a oOlIlponer Occur in r Amine 1 fingering (Leonard °f the die Lebm these fisl mortaliq Was app] madam the pres, nOt 341.1. mortalit Littl£ 4 Trichoptera and Ephemeroptera were observed following ELL-application in some cases (Molloy and J amnback 1981), but they attributed these increases to sampling error. A major problem with stream ecology studies measuring population changes or mortality in macroinvertebrate populations, is the lack of precision when sampling. Subtle changes (e.g., in population densities) may be undetectable, or appear insignificant, given the heterogenous nature of stream environments. Few investigations have addressed the direct or indirect effects of ELL on fish, even though black fly larvae and adults are common fish diet components. Black’flies are an important fish food whenever these insects occur in significant numbers (Mann and Orr 1969, Smith and Page 1969, Amrine 1984, Sato 1987 , Davies 1991). The stomach contents of brook trout fingerlings in a Michigan river contained 85% midges and black flies (Leonard 1941). Hess (1983) reported that black flies were a significant part of the diets of 24 fishes in a West Virginia river. Lebrun and Vlayen (1981) reported 50% mortality in mania spp. when these fish were exposed to unusually high doses of ELL, but found no mortality with these fish, and sticklebacks and mosquitofish, when ELL was applied at labeled rates. Fortin et al. (1986) measured up to 86% mortality in brook trout fry following a ELL-application, but explained that the preservative agent xylene was the factor responsible for mortality and not ELL itself. Merritt et al. (1989) observed no short term growth effects or mortality from ELL-application on rock bass in a Michigan stream. Little research has been conducted on 'secondary' or 'indirect' effects (food-ch21? such as 6 success. 1 consumer Marysko predator with EL predator fecundit; nymph ] mosqm Paramet Tooc hank high mt 01388110; wOlgan biologjC the San biochen and thi black fl insmac times a 5 (food-chain toxicity) of ELL on non-target organisms. Life history aspects such as developmental rates, molting success, emergence time and success, and fecundity of non-target organisms may be altered when consumers ingest ELL-contaminated black fly larvae. Olejnicek and Maryskova (1986) reported no marked increase in mortality with the lentic predator mm glam when they were fed mosquito larvae intoxicated with ELL. Aly and Mulla (1987) obtained similar results with three lentic predators of mosquito larvae. They studied mortality, emergence time, fecundity and consumption rates with the backswimmer Manama nndalata, the dragonfly nymph W W, and damselfly nymph Enallagma giyjla, after these predators consumed ELL-intoxicated mosquito larvae. They found no significant changes in these life history parameters, except for a 50% reduction in consumption by H. nmlnlata. 'Food-chain' toxicity has been reported for predatory mites feeding on insecticide-treated prey (McClanahan 1967). These predators experienced high mortality after preying on mites fed host plants treated with organophosphate and carbamate insecticides (Binns 1971, Lindquist and Wolgamott 1980). ELL difl‘ers from these conventional insecticides; it is a biological rather than a chemical control agent. Therefore it may not have the same toxic effects as do chemical insecticides. There may also be a biochemical change taking place in the black fly prey after they ingest ELL, and this, in turn, may secondarily affect predators that consume treated black flies. Aly (1985) demonstrated that ELL grows and sporulates inside infected mosquito hosts. Spore counts in infected cadavers increased to 700 times and toxicity associated with sporulation continued to increase for several days following ELL treatment (Aly et al. 1985). Depending on consumption rates, consumers could indirectly ingest (via contaminated hosts) ELL at concentrations several thousand times greater than that which is lethal to target insects. Studies are urgently needed on (1) adverse effects on consumers of ELL- intoxicated black fly larvae, and (2) loss or alteration of a significant component of the food web. Any intervention disrupting or restructuring the aquatic community could (negatively or positively) affect individuals at other trophic levels. Relevant questions regarding ELL use in streams include: What happens to the ELL-treated black fly larvae? What percent of the dead larvae remain attached to their substrate, being available to their natural predators, as opposed to releasing and drifting in the water column? Do dead, treated black fly larvae decompose or are they eaten by predators and detritivores? If black flies are an important component of insect predator diets, with numerous predatory insect species representing over twenty aquatic families (in Coleoptera, Diptera, Hemiptera, Megaloptera, Plecoptera, and Trichoptera Orders) (See Davies 1981 and 1991 for a complete list), do predators continue consuming black flies after the black flies have been killed by ELL? If detritivores and predators consume ELL-contaminated black flies, are they secondarily affected by ingesting those contaminated larvae? Do predators switch to alternate prey types after black flies are removed from a stream? This research was designed to investigate the consequences, to selected aquatic macroinvertebrates and trout, of treating stream ecosystems with 33L (or lad macroinvert contaminatr features (e after they contamina larvae dec macrroinve 7 ELL, for larval black fly control. Objectives included determining: 1) if macroinvertebrate predators and detritivores, and trout consume ELL- contaminated black fly larvae, 2) if ELL indirectly affects life history features (e.g.: mortality, growth, emergence) of these macroinvertebrates after they consume ELL-intoxicated larvae, 3) the duration that ELL- contaminated larvae remain "available" to consumers before the dead larvae decompose or drift downstream, and 4) if feeding habits of these macroinvertebrate predators change following ELL-application. Ali, A. l again J. Inv Aly, C. l in the 45:18 Amnsoa, relate Back, 0,, dosag LITERATURE CITED Ali, A. 1981. Eaglllna Lharingianaia serovar. israalansis (ABG-6108) against chrironomids and some non-target aquatic invertebrates. J. Invertebr. Pathol. 38:264-272 Aly, C. 1985. Germination of Eagillaa Lhmjnglanaia var. iaraalanaja spores in the gut of Aadaa larvae (Diptera: Culicidae). J. Invert. Path. 45:1-8. Aly, C., & M.S. Mulla. 1987. Effect of two microbial insecticides on aquatic predators of mosquitos. J. Appl. Ent. 103:113-118. Aly, C., M.S. Mulla, & B.A. Federici. 1985. Sporulation and toxin production by Bacillus thminaiensis var. ismelensis in cadavers of mosquito larvae (Diptera: Culicidae). J. Invert. Path 46:251-258. Amrine, J .W. 1983. New River black fly food habits study. Unpubl. data. Aronson, A.I., W. Beckman, & P. Dunn. 1986. Eacillna Lhmjngianaia and related insect pathogens. Microbial. Rev. 50:1-24. Back, C., J. Boisvert, J .O. Lacoursiere, & G. Charpentier. 1985. High- dosage treatment of a Quebec stream with ELL: efficacy against black 1 insect. Binns. E. to 521 (Acari Burton, E dosage non~ta Thesis Car. M, 5 bentho 51:15.3 Colbo, M.‘ contro Newfc COIb0. M Simu‘. 9 black fly larvae (Diptera: Simuliidae) and impact on non-target insects. Can. Entomol. 117:1523-1534. Binns, ES. 1971. The toxicity of some soil-applied systemic insecticides *0 Anhis m (Homoptera: Aphididae) and W Deraimilis (Acarina: Ph3’1308eiidae) on cucumbers. Ann. Appl. Biol. 67:211-222. Burton, D.K. 1984. Impact of Eaaillug Lhufiugiaugh var. hraalaugh in dosages used for black fly (Simuliidae) control, against target and non-target organisms in the Torch River, Saskatchewan. Masters Thesis, Univ. Manitoba, Winnipeg. Manitoba, Canada. Car, M., & F.C. De Moor. 1984. The response of Vaal River drifi: and benthos to Sjmuljum (Diptera: Nematocera) control using Eagillug fluuiugiaugh var. mm (H- 14). Onderstepoort J. Vet. Res. 51:155-160. Colbo, M.H., & H. O'Brien. 1984. A pilot black fly (Diptera: Simuliidae) control program using Bacillus thudnaiansis var. ismelensis in Newfoundland. Can. Entomol. 116: 1085-1096. Colbo, M.H., & A.H. Undeen. 1980. Effect of Eaaillug thuriugiaugh var. hraalaugh on non-target insects in stream trials for control of Simuliidae. Mosq. News 40:368-371. Cupp, 15- 8 SSOC 8. m L; world Davies, 1 the ft Acade Davies, I (Simu Dejoux, C cible de tropical Hydrob 10 Cupp, E.W. 1987. The epizootiology of livestock and poultry diseases associated with black flies, pp. 387-395. In Kim, KC. & R.W. Merritt (eds.), Black flies: ecology, population management, and annotated world list. Penn. State Univ. Press, University Park, PA. Davies, D.M. 1981. Predators upon black flies, pp. 139-158. In Black flies: the future of biological methods in integrated control, M. Laird (ed.). Academic Press Inc., London. Davies, D.M. 1991. Additional records of predators upon black flies (Simuliidae: Diptera). Bull. Soc. Vector Ecol. 16: 256-268. Dejoux, C., F.M. Gibon, & L. Yaméogo. 1985. Toxicité pour la faune non- cible de quelques insecticides nouveaux utilises en milieu aquatique tmpical- IV. Le Bacillus thunneicnsis var. ismclcnsis H- 14. Rev. Hydrobiol. Trop. 18: 31-49. De Moor, F.C., & M. Car. 1986. A field evaluation of Eagillug W var. hmalangh as a biological control agent for Sjmnlium ahuLtau (Diptera: Nematocera) in the Middle Orange River. Onderstepoort J. Vet. Res. 53:43-50. Dubois, N.R., & F.B. Lewis. 1981. What is Eagillug Lhmjngiaugh? J. Arboriculture. 7: 233-240. 11 Fortin, C., D. Lapointe, 8: G. Charpentier. 1986. Susceptibility of brook trout (Salmliuug fanfiualh) fry to a liquid formulation of Eag'llug Lhuriugiaugh var. hmalaugh (Teknar) used for black fly control. Can. J. Fish. Aquat. Sci. 43:1667-1670. Fredeen, F.J.H. 1977. A review of the economic importance of black flies (Simuliidae) in Canada. Quaest. Entomol. 13: 219-229. Fredeen, F.J.H. 1985. Some economic effects of outbreaks of black flies (Simuliumluggazi (Nicholson an Mickel)) in Saskatchewan. Quaest. Entomol. 21: 175-208. Gaugler, R., & J .R. Finney. 1982. A review of Eaaillug Lhmuglangh var. hmalangh (serotype 14) as a biological control agent of black flies (Simuliidae). In: D. Molloy, (ed), Biological control of black flies (Diptera: Simuliidae) with Eaaillug Llnuingiaugh var. hmdangh (serotype 14): a review with recommendations for laboratory and field protocol. Misc. Pub. Entomol. Soc. Amer. 12:1-18. Gibbs, KE., F.C. Brautigam, C.S. Stubbs, & L.M. Zibilske. 1986. Experimental applications of Eaaillug Llnuiugigmgh var. hmalaugh for larval black fly control: persistence and downstrem carry, efficacy, impact on non-target invertebrates and fish feeding. Maine Life Sci. Agric. Exp. Stn. Tech. Bull. 123:1-25. 12 Gill, 8.8., EA. Cowles, & P.V. Pietrantonio. 1992. The mode of action of Eaaillua Lhuungiangh endotoxins. Annu. Rev. Entomol. 37: 615-636. Goldberg, L.J., & J. Margalit. 1977. A bacterial spore demonstrating rapid larvicidal activity against Anopheles scrgcntii. Hrsnctacnia unmmrlata' .Qulcxummattus.’ ' AcdcsaagntiandQulcxmmc' ' ng. Mosq. News. 37:355-358. Hess, L. 1983. Preliminary analysis of the food habits of some New River fishes with emphasis on black fly utilization. pp. 15-21. In: W. E. Cox and M. Kegley (Chairpersons), New River Symposium, Virginia Polytechnic Institute and State University, Oak Hill, West Virginia. Hurlbert, SH. 1984. Pseudoreplication and the design of ecological field experiments. Ecological Monographs. 54: 187-211. J amnback, H. 1969. Bloodsucking flies and outdoor nuisance arthropods of New York State. Mem. 19. New York State Mus. and Sci. Serv. Albany, New York. Kennen, J .G. 1990. Effects of a larvicide Eacillug fluujugiangh var. hmalaugh on community structure of macroinvertebrates in streams of the central Adirondack region. Masters Thesis, SUNY College of Environmental Science and Forestry, Syracuse, N. Y. 13 Kim, KC., & R.W. Merritt (eds.). 1987. Black flies: ecology, population management, and annotated world list. Penn. State Univ. Press, University Park, PA. Lacey, L.A., & M.S. Mulla. 1990. Safety of Eaaillug thufiug‘laugh var. hraalangh and Eaaillug gnhaaziaug to non-target organisms in the aquatic environment (in press). In: M. Laird, L. A. Lacey, and E. W. Davidson (eds). Safety of microbial insecticides. C. R. C. Press, Boca Raton, FL. Lacey, L.A., & A.H. Undeen. 1987. The biological control potential of pathogens and parasites of black flies, pp. 327-340. In K. C. Kim and R. W. Merritt (eds). Black flies: ecology, population management, and annotated world list. Penn State Univ. Press, University Park, PA. Lacey, L.A., A.H. Undeen, & M.M. Chance. 1982. Laboratory procedures for the bioassay and comparative efficacy evaluation of Eacillug Lhuringiangh var. israclcnsis (serotype 14) against black flies (Simuliidae). In: D. Molloy, (ed), Biological control of black flies (Diptera: Simuliidae) with Bacillus thminsrcnsis var. israclcnsis (serotype 14): a review with recommendations for laboratory and field protocol. Misc. Pub. Entomol. Soc. Amer. 12:19-23. Lacey, L.A., H. Escaffre, B. Philippon, A. Seketeli, & P. Guillet. 1982. 14 Large river treatment with Bacillus thurinaicnsis var. isrzaclcnsis (H- 14) for the control of Simuljum damuagum s.I. in the Onchoceriasis Control Programme. Z. Tropenmed. Parasitol. 33:97-101. Lebrun, P., & P. Vlayen. 1981. Etude de la bioactivite compares et des efi‘ects secondaries de Eaaillug Lhuzlugiaugh H-14. Z. Agnew. Entomol. 91: 15-25. Leonard, J .W. 1941. Some observations on the winter feeding habits of brook trout fingerlings in relation to natural food organisms present. Trans. Am. Fish. Soc. 71:219-227. Lindquist, R.K., & M.L. Wolgamott. 1980. Toxicity of acephate to thtcseiulus mrzsimflis and Ietranxchus uriicac. Environ. Entomol. 9:389-392. Mann, R., & D. Orr. 1969. A preliminary study of the feeding relationships of fish in a hard-water and a soft-water stream in Southern England. J. Fish. Biol. 1: 31-44. McClanahan, R.J. 1967. Food-chain toxicity of some systemic acaricides to predaceous mites. Nature. 215: 1001-1009. Merritt, R.W., & H.D. Newson. 1978. Ecology and management of arthropod populations in recreational lands, pp. 125-162. In G.W. 15 Frankie and 0.8. Koehler (eds.). Perspectives in urban entomology, Academic Press, New York. Merritt, R.W., M.M. Mortland, E.F. Gersabeck, & D.H. Ross. 1978. X-ray defraction analysis of particles ingested by filter-feeding animals. Entomol. Exp. Appl. 24: 27-34. Merritt, R.W., E.D. Walker, M.A. Wilzbach, KW. Cummins, 8: W.T. Morgan. 1989.. A broad evaluation of ELL for black fly (Diptera: Simuliidae) control in a Michigan river: efficacy, carry and non-target effects on invertebrates and fish. J. Amer. Mosq. Cont. Assoc. 5:397- 415. Miura, T., R.M. Takahashi, & F.S. Mulligan, III. 1980. Effects of the bacterial mosquito larvicide, Eacillug Lhuungiangh serotype H- 14 on selected aquatic organisms. Mosq. News 40:619-622. Molloy, D. 1984. The black fly debate. New York State Mus., State Educ. Dept. 17: 7-10. Molloy, D.P., & H. J amnback. 1981. Field evaluation of Eaalllug thmiugiaugig var. hraalaugh as a black fly biocontrol agent and its effect on non-target stream insects. J. Econ. Entomol. 74:314-318. 16 Newson, H.D. 1977. Arthropod problems in recreational areas. Ann. Rev. Entomol. 22: 333-353. Olejnicek, J ., & B. Maryskova. 1986. The influence of Eaaillug thun'naicnsis var. ismclcnsis on the mosquito predator Nutcnccta glance. Folia Parasitol. 33:270-230. Philippon, B. 1987. Problems in epidemiology and control of West African onchcerciasis, pp. 363-373. In Kim, K.C. & R.W. Merritt (eds.), Black flies: ecology, population management, and annotated world list. Penn. State Univ. Press, University Park, PA. Ross, D.H., & R.W. Merritt. 1987. Factors affecting larval black fly distributions and population dynamics, pp. 90-108. In Kim, KC. & R.W. Merritt (eds.), Black flies: ecology, population management, and annotated world list. Penn. State Univ. Press, University Park, PA. Pistrang, L.A., & J .F. Burger. 1984. Effect of Eaaillug muduglangh var. hraalangh on a genetically-defined population of black flies (Diptera: Simuliidae) and associated insects in a montane New Hampshire stream. Can. Entomol. 116:975-981. Sato, G. 1987. Identification of fish predators of simuliid larvae in Joinville/SC. Cienc. Cult. (Sao Paulo). 39: 962-966. 17 Smith, P., & L. Page. 1969. The food of spotted bass in streams of the Wabash River drainage. Trans. Am. Fish. Soc. 98:647-651. World Health Organization. 1979. Data sheet on the biological control agent Eacillug thudngiangh serotype H-14 (de Barjac 1978). Wld. Hlth. Org. mimeo. doc. WHONBC/79.750 Rev. 1. VBC/BCDS/79.01, 46 PP- Wotton, R. S. 1977. Sampling moorland stream black fly larvae (Diptera: Simuliidae). Arch. Hydrobiol. 79:404-412 CHAPTER 1 PORTABLE ARTIFICIAL STREAMS FOR FIELD AND LABORATORY EXPERIMENTS WITH AQUATIC MACROINVERTEBRATES ABSTRACT An artificial stream unit that houses 40 replicated 480 ml circular channels was designed for conducting aquatic macroinvertebrate laboratory and field studies. The unit measured 135 cm long x 91 cm wide x 80 cm high. Water was delivered to the unit with electric water pumps, in the laboratory, and by gravity in the field. Water current velocity was precisely regulated in channels and the stream unit accommodated current velocities from ==0 to >30 cm/s. The stream unit was laboratory and field tested using insects from various functional feeding groups, including predators, (Plecoptera, Odonata, Trichoptera), shredders and collectors (Diptera and Ephemeroptera), and grazers (Ephemeroptei‘a). The unit proved to be a useful design for predation, growth and development, emergence, and mortality studies. It could also be used for single- and few-species toxicity testing, insecticide efficacy trials, herbivory studies, along with other studies using aquatic invertebrates. It could be easily modified for other applications. Construction cost was $500 and required about 80 hrs to build. 18 19 The unit was simple to transport and operate, and was efficiently operated by one person. 2) INTRODUCTION A major problem inherent in stream ecology research has been the inability to incorporate true replication of treatments, otherwise known as pseudoreplication (Hurlbert 1984). A common approach for studying the impact of a stress agent (e.g., predator, pesticide) on one or several populations of aquatic invertebrates, is to 'treat' a section of river, and sample 'above and below' or 'before and after' treatments are applied. The sampling has typically involved repeated samples within each singly replicated treatment. To overcome this dilemma, stream ecologists have employed artificial streams or channels, encompassing single species to community level studies, thus avoiding pseudoreplication. Several variations and sizes of artificial streams (and ponds) have been developed and used for studying components of aquatic systems, including food limitation with macroinvertebrates (Richardson 1991), competition and predator-prey interactions (W alde and Davies 1980), plant-herbivore interactions (Lamberti et al. 1989), algal community dynamics (McCormick and Stevenson 1991), various abiotic factors (Ciborowski et al. 197 7, Steinman and McIntire 1986, Clements et al. 1989), insecticide efficacy (Gaugler et al. 1980), and single and multiple species toxicity tests (Pontash and Cairns 1989). [See Giesy (1980) and Cuffney (1990) for comprehensive reviews on experimental ecosystem types and their applications] Some artificial streams have incorporated air pumps (Mackay 1981), but 21 more typically, water pumps (Ryer et al. 1979, Matthews at al. 1990) to generate water current, and have been constructed over a wide range of sizes. Problems with most designs include high construction costs, the inability to easily transport the units from laboratory to field, or lack sufficient replicability. Our objectives were to design artificial streams that (1) incorporated high replication, (2) were compact and portable for laboratory and field use, (3) were cost eflicient to construct, maintain and operate, (4) were time efficient to set-up and operate, and (5) accommodated single species to several species (ca. 6) macroinvertebrate studies. MATERIALS AND METHODS I 5 1'5 . l | 1 . The entire stream unit (Figures 1 & 2A) consisted of 40 individual channels (Figures 2B, 3A & B). Channels were constructed from 480 ml plastic food storage containers (Sweetheart® Plastics, Wilmington, MA). One cm holes were drilled through the bottom centers of each container, and the internal surfaces of the container roughened with sand paper. A 3.0 cm long x 3.2 cm wide piece of PVC pipe was glued upright to the center bottom inside each container (Figure 3A), and a circular 3.2 cm diameter 250 um mesh stainless steel screen was glued to the upright and of each pipe, and served as the water drain (Figures 3A & B). Channels were secured by placing them inside the bottom portion cut from another plastic container (Figure 3A) that was glued to a 122 cm long x 91 cm wide x 1.6 cm 683m 33m $me .oafi Romano HOV .33 as 3 sense Rein Q .855 Q .33 sag 6 ....aa uses: a: .883 e883... @ .33 Ease RC .3653 Socnefigfiobofi caucus com fins Sachem 3855.8 one no 5335838 238.9%ch .H 053m A :5 3: V A :5 «a: V H..... ....8 So......:.... 3.8 "balls! I I H H H H I I H H H HHI H H I H H HfiHFI F I I I I I H I H H H FF mwb(3 {Ir/awn I I I I I I H I H H HI I I I H I H HI 4 I I I I I I I I I I I I H I I l I 4/, - - - ....t t - , t , , .UHD n1 ... so»J a. $3.8 m2 ....1 X: ...... “n 25 08 n” 1 3 .n m>._<> & .h 83 case: a E3322 2: ..UKIurIII'lI” 4 3 .u m>._<> .o Bodam>o 4(2dm5. "$.23 23A Figure 2. Artificial stream unit (A), and channels with (top two channels) and without (bottom two channels) screen collars (B). 23B 61131111915) - v.; V.“- out B 11.6 cm ' ‘ *7 3.2 cm , 9.0 cr_n Figure 3. Diagramatic representation of an artificial channel for aquatic macroinvertebrate studies (A) without, and (B) with screen collar. 25 thick piece of painted plywood (Figures 1 & 2A). Holes, 2.5 cm diameter, were drilled through the plastic holder and plywood platform, and 2.5 cm diameter plastic funnels were fitted through these holes and glued in place. This served as the drain tube for water exiting the channel (Figure 3A). Channels were occasionally fitted with a screen collar drain (250 um mesh) (Figure 3B) that provided increased drain surface area to retard drain clogging. The stream unit was designed with four rows of ten channels (Figures 1 & 2A). Water was delivered to the stream unit using four 1.9 cm II) rubber hoses (Figures 1 & 4) that each brought water to one of four 5.1 cm 11) x 135 cm long holding pipes (Figures 1 & 2A). Water was delivered from the holding pipes to each channel via individual 4.2 mm ID Tygon® tubes (Figures 1, 2A, & 3), circulated inside the channels at a desired velocity, exited through the channel center-drain into 8.0 mm ID Tygon® tubes (Figure 3A), and finally into one of four 5.1 cm ID x 135 cm long PVC outflow pipes that discharged the water (Figure 1). Water current velocity was precisely controlled in channels by Tee- valves (D) 'water in' seen in Figure 1. Each one of four valves regulated current velocity for each ten channel set. Each holding pipe (H) (Figures 1 & 2A) was equipped with threaded sleeves (S) that unscrewed to be taken apart, allowing the holding pipes to be cleaned internally when necessary. Each holding pipe was also equipped with an internal overflow (located ca. 2 cm from the top inside of each pipe) and an air-bleed valve to release air in the holding pipes to maintain a high, constant water level in each pipe 26A Figure 4. Gravity-feed pipes (A), 2 water filtration barrels (B), dispensing bucket (C), delivery hoses (D), and two artificial stream units (E) during streamside experiments. 26B 27 (Figure 1). All working parts were supported by a metal support frame (S.F.) constructed out of angle-iron (Figures 1 & 2A). IIEI'fi'll I' 'Ilfill The stream unit was placed in-stream and streamside (Figure 4) during operation. Water was gravity fed to the unit using two 2.5 cm ID plastic plumbing pipes (A) (Figure 4) each fitted with gate valves, and into one or two 122 L plastic water filtration barrels (constructed from Rubbermaid® refuse containers) (Figure 4) to filter out large (ca. > 200 um) suspended particulates. Filters consisted of 2.5 cm thick bonded polyester 'polyfil' sheets, cut and stapled, to form 61 cm wide x 91 cm long filter bags. The bags were secured to the previously described gravity-feed pipes. The water volume entering filtration barrels was controlled by each gate valve, and water flow was shut off when replacing filters (every 2-14 d depending on particulate volume in the water and water volume delivered to the filters). Filtered water then flowed through a 3.2 cm opening, ca. 10 cm from the top of each filtration barrel, into a 19 L dispensing bucket, that ultimately delivered the water to each one of four water holding pipes via 1.9 cm ID rubber hoses (Figure 4). The 1.9 cm rubber hoses passed through holes drilled 5-10 cm below the upper edge of the 19 L dispensing bucket and delivered water into the stream units (Figure 4). After passing through the channels, water was then returned back to the stream. A critical factor determining successful field operation was adequate local vertical drop from the point where water was taken from the stream to 28 the filtration bucket, and to the stream unit. I estimated 5 m vertical drop over a 100 m stream reach at our field site. A method was developed to apply treatments of desired liquids to any number of randomly chosen channels. A 23 L solution reservoir held a known concentration of solution. The 2.6 L solution dispenser delivered solution to the channels via 1.3 mm ID 'l‘ygon® tubes that passed through holes drilled 2.0 cm above the bottom of the dispenser, and into the channels. This method provided treatments of known and constant solution concentrations through time because flow rates were dependant on the vertical drop between the solution level in the dispenser and the distal end of the outflow tube connected to each channel (e.g.; vertical head). The solution level in the dispenser remained constant through the application period and was controlled by the height of the downspout of the solution reservoir. As solution flowed into the channels, the solution level in the dispenser dropped, allowing air to enter the solution reservoir via its spout, resulting in additional solution entering the dispenser. In addition to controlling flow rates, this percolation acted as a stirring mechanism that kept the solution adequately mixed in the reservoir. Artificial stream operation in the laboratory was similar to that in the field, except water was recirculated through a 600 L cooling and filtration tank using one 1.4 amperes electric water pump per each set of ten channels. Water flow into the charmels and subsequent current velocity was regulated with the Tee-valves as described for field operation. The a) outflow pipe however, was mounted facing the opposite direction to what it was in the field, thus returning water directly back to the cooling tank. Water was filtered, after returning from the channels, using an activated charcoal/cloth mesh filter as the water flowed back into the tank. Stream units were field and laboratory tested using insects from selected functional feeding groups (predators, collectors, grazers, and shredders). These included Plecoptera (Amuaurja sp., Eamgnatiua sp., Igauexla sp., Bmstcia sp.), EphemerOptera (Bactis sp.. Qacnis sp.. Ems sp., Ephcmcrclla sp-.Bar:a1cptouhlcbia sp., Binhlcnurus sp.). Trichoptera (Gazamugxaha sp.), Diptera (Simuljum sp., Iiuula sp.), and Odonata (ngazla sp.), to measure mortality and predation rates, and development in experiments lasting up to 22 d. Water velocity was estimated in each channel by recording the time it took a neutrally-buoyant float to complete 10 revolutions. Measures were replicated 5 times. Predators were each provided with a 25 x 25 x 1 mm piece of aluminum placed on the bottom of each channel, providing a thin crevice between it and the channel bottom, which served as a refuge. Pebble or leaf substrate was provided during some experiments. Channels were fitted with lids For field experiments, experimental animals were collected, using a D- frame kick net, from the study site and immediately placed in channels. 30 For predation studies, predators were placed one or five (depending on species) to a channel with up to 30 prey that were counted and replaced, along with predator mortality measured, every 24 hr. See Tables 1 and 2 for complete experimental details. Laboratory tests involved using dechlorinated, carbon-filtered tap water maintained at 8° C. Insects for predator-prey studies were collected from nearby streams, and transported in coolers to the laboratory. Surplus prey were maintained within screened enclosures placed in the 600 L tank. Mortality and consumption rates were recorded daily as described for the field experiments (Tables 1 & 2). RESULTS 0 Water velocities were uniform across 40 channels (at mean velocity = 21.3 cm/s; SEM = 1.5, and range = 19.2-23.4 cm/s). For experiments conducted with rifile-collected insects (Exps. 1-7), mean water velocity was 21 cm/s, with leaf pack-collected insects (Exps. 8-11), water velocity was maintained near 5 cm/s. Mortality rates were low for all species (Tables 3 & 4). Predator mortality was zero for all species except anatanmha sp. (Table 3). Consumption rates indicated that all predators actively fed through the experiments, with consumption rates ranging from 1.36 prey/d for Catamnmha sp. to 8.25 prey/d for Eoyafia sp. (Table 3). Insect mortality rates were also low for the collectors, shredders, and grazers. (Table 4). Percent daily mortality ranged from 0.0% (for Impala sp.) to 2.2% (for Simuljmn sp.) (Table 4). Caauh sp. mom—w.” cofiafismcoo GHHHV g a assess saves s H s was s . . has «nomad Sam m. mega» :oBQEDmcoo cm $23.88 Succeed v N. m omum 83385 g 3 32m A. cash money :oBQEsmcoo Homuauv g a finance 8383 e m S 2533 a ... . mamas. snag 2% m and mean» cowaafismcoo Homfiuv g a basses 3385 e m 2 2.2.52 8 ... a... find 33 Sam m moans :ofiafismcoo s asses sees e a a a: sedan than massage as H @3338 359:6 a camp .85 «53 no.5 36QO 833.5 nmdgmrm a dam mcouoamamm .anm ”833an 52.884 ...:c: 833m fights Banana cs 5:... mo mocwacomcoa 2: $3 8 vmcozccoo madmaflonxo cosmvmcm .H 2nt mm>mm~ 3:388 3 m 2 888888 8 _ 8 23,: 8 mocmmpmam :33 338 w 323: 3:388 8 mm m o: 883888 38an 33,: 2 mm>mo_ 3:388 8 u m m 888888 Ilqlss a. 33: m mzuhuauflamm GE 883 3% 3:388 8 8 o: 38 883888 23,: w Smuv 3:388 8 a m 282: 83:88 333% 23: 8 8:388 8 2 S. 8 88:88 : H :3 o @8338 55326 8 358% Sn 33:: voom @393 «:3 835 833833 a: dxm mpgmfimpmm dxm 30me 8 ”8038.5 £85 8883 Emacs»: 358:0 ow 2: mo 8:888th 25 $8 3 33358 mummfitmmxm .N 2nt 33 Table 3. Predation and predator mortality rates during predation experiments using the 40 channel artificial stream unit. Prey eaten per % predator predator per d mortality per d Exp. # Predator species 1: 3; SEM x :1: SEM 1 Agrgnegria lyggrias 2.0 :t 0.3 0.0% 2 Paramgtina media 7.0 :t 1.9 0.0% 3 1.52% m 3.1 d: 0.5 0.0% 4 fleratgpsyche sparna 1.4 i 0.1 4.6 :t 1.1% 5 Mia Vin 8.3 :I: 2.5 0.0% 34 Table 4. Mortality rates, cummulative molt, and emergence of aquatic insects during collector-shredder-grazer experiments using the 40 channel artificial stream unit. % insect % cummulative molt mortality per d (or) emergence Exp. # Insect taxa tested x j; SEM x 1: SEM 6 i 1i . 1.1 d: 0.7% --- 7 Simulium 2.2 :t 0.5% --- Em 0.4 i 0.4% Baetis 0.9 i 0.4% 8 r 1 hl ia 0.6 :t 0.4% --- Prgstoia 1.4 i 0.9% --- E h m r 11a 0.6 :t 0.4% 9 m 0.0% 10 a ni 0.8 i 0.0% 66.0 :1; 8.7% (molt) 60.0 i 7.8% (emerg.) 11 Sipllimm 1.4 i 1.4% 35 demonstrated high molt (66.0%) and adult emergence (60.0%) levels (Table 4). ' DISCUSSION The artificial stream unit performed well under both laboratory and field settings. During laboratory operation, the unit ran continuously without flaw for 8 months, and for a continuous 3 months during field experiments. Aquatic insects appeared to behave 'normally', exhibiting no unusual aggressive behavior during the duration of the experiments. Predators immediately began to feed when placed in channels containing prey. Most predators used the refuge provided them when they were inactive. When placed in channels, black flies initially moved around on substrate until they found suitable microhabitats, then remained stationary until disturbed by other insects. Grazers fed on microbes that colonized substrates within the channels as evidenced by 'trails' of grazed, microbe- free patches. Low mortality rates indicated that the channels were suitable for aquatic insect studies using insects within these size classes. Although the channels worked well for predation and insect developmental studies, they would likely be too small for behavioral-type studies, or studies that used larger animals. However, larger channels could be used in place of these 480 m1 channels. 36 One of the benefits of this unit was the ease of transporting channels from the laboratory to the field, and back. The units were easily handled by one person, and were time efficient to operate. Counting and adding insects to the channels was simple due to their small size, dimensions, and light color. Another benefit was the precise control and between-channel uniformity of water velocity, with velocities from 0-30 cm/s or more easily obtained by simply regulating the Tee-valves. The units were highly suitable for field operation provided that there was sufficient local vertical drop to create the desired water pressure and flow velocity. Insufficient vertical drop would prevent stream unit operation at the higher water velocities, but could be circumvented by incorporating electric water pumps. Occasional channel cleaning was necessary and was accomplished by using small brushes. The channels needed more frequent cleaning in the field than the lab due to suspended sediments in stream water. The water holding pipes also needed to be cleaned and flushed ca. monthly during field use, which was quickly accomplished by unscrewing the threaded sleeves and brushing the inside of each PVC pipe with a long handled brush. The water filters also needed replacing every two to 14 d. In hindsight, recommended modifications would include a single 15 cm ID water holding pipe (as opposed to four 5.1 cm ID pipes) delivering water to all 40 channels. Other modifications include channels constructed from higher quality plastic. The channels held up for two years under heavy use (being used in experiments in addition to those described here) but began to break at the end of the second year. 37 In conclusion, the 40 channel artificial stream unit met our objectives. It was inexpensive (ca. $500) and time efficient to build, set up, and operate, it was compact and portable for laboratory and field experiments, and incorporated high replication. It appears to be a good design for single- and few-species toxicity testing, predation, herbivory, and other feeding studies, as well as competition studies. 38 ACKNOWLEDGMENTS I thank G. Arntsen for offering access to his property allowing me to conduct this study. I also thank B. Peckarsky and D. Allen for their helpful assistance and suggestions on channel design, and J. Velarde for assistance with channel construction. Channels were a modification of those originally designed by S. Walde. This study was supported, in part, by Sport Fishing Institute Fund grant SFRP-90-26 awarded to RWM and MSW, Northeast Regional Black Fly Project NE-118, and Michigan State University Cooperative Extension Service and Agricultural Experiment Station. I... 1......1flur 39 LITERATURE CITED Ciborowski, J .H., P.J. Pointing, & L.D. Corkum. 1977. The effect of current velocity and sediment on the drift of the mayfly Ephememlla maria Mcdunnough. Freshwater Biology. 7: 567-572. Clements, W.H., J .L. Farris, D.S. Cherry, & J. Cairns. 1989. The influence of water quality on macroinvertebrate community responses to copper in outdoor experimental streams. Aquatic Toxicol. 14: 249-262. Cufi'ney, TE 1990. Experimental ecosystems: Application to ecoton'cology. North American Benthological Society, Technical Information Workshop Proceedings, May 1990, VPI&SU, Blacksburg, VA. 128 pp. Gaugler, R., D. Molloy, T. Haskins, & G. Rider. 1980. A bioassay system for the evaluation of black fly (Diptera: Simuliidae) control agents under simulated stream conditions. Can. Ent. 112: 1271-1276. Giesy, J .P. 1980. Microcosms in Ecological Research. National Technical Information Center, Springfield, VA. 1110 pp. Hurlbert, SH. 1984. Pseudoreplication and the design of ecological field experiments. Ecological Monographs. 54: 187-211. 40 Lamberti, G.A., S.V. Gregory, L.R. Ashkenas, A.D. Steinman, & C.D. McIntire. 1989. Productive capacity of periphyton as a determinant of plant-herbivore interactions in streams. Ecology 70: 1840-1856. Mackay, R.J. 1981. A miniature laboratory stream powered by air bubbles. Hydrobiologia. 83: 383-385. Matthews, W.J., F.P. Gelwick, & T.J. Gardner. 1990. A simple system of replicated recirculating experimental streams. J. Freshwater Ecol. 5: 437-443. McCormick, P.V., & R.J. Stevenson. 1991. Mechanisms of benthic algal succession in lotic environments. Ecology. 72: 1835-1848. Pontasch, K.W., & J. Cairns. 1989. Establishing and maintaining laboratory-based microcosms of riffle insect communities: their potential for multispecies toxicity tests. Hydrobiologia. 175: 49-60. Richardson, J .S. 1991. Seasonal food limitation of detritivores in a montane stream: an experimental test. Ecology. 72: 873-887. Ryer, C.H., J .A. Wetmore, & J .L. Gooch. 1979. An artificial stream design for lotic invertebrates. Amer. Midland Nat. 101: 447-449. Steinman, A.D., & C.D. McIntire. 1986. Effects of current velocity and light 41 energy on the structure of periphyton assemblages in laboratory streams. J. Phycol. 22: 352-361. Walde, S.J., & R.W. Davies. 1984. The effect of intraspecific interference on W mums (Plecoptera) foraging behavior. Can. J. Zool. 62: 2221- 2226. CHAPTER 2 NON-TARGET IMPACT OF BAQELILS IHLIBINGIENSIS VAR. ISBAELEHSIS IN A LOTIC SYSTEM: DIRECT LETHAL AND SUBLETHAL FOOD-CHAIN EFFECTS ON SELECTED AQUATIC INSECTS, AND FATE OF INTOXICATED BLACK FLY (DIPTERA: SIMULIIDAE) LARVAE. ABSTRACT A field study was conducted to investigate direct and indirect (food- chain) effects of Bacillus W var. 181381311815 (ELL) on selected non-target aquatic insects, fate of ELL-contaminated black fly larvae, and ELL persistence in stream sediments. Experiments were conducted in- stream, and streamside using highly replicated artificial channels, to measure lethal and sublethal (e.g., drift, feeding, growth, developmental rates, and adult emergence success and phenology) changes in Ephemeroptera, Plecoptera, Trichoptera, and Diptera exposed to BALL and given ELL-contaminated food (black flies and conditioned leaves). Larval black fly decomposition and release rates were measured in artificial channels following BAA. application. Direct mortality was seen with two species, Ma Mominalis (Diptera: Tipulidae) and mm binnnctata (Ephemeroptera: 43 Heptageniidae), when exposed to BALL at rates above (but not at) recommended field rates. No significant mortality was recorded with the remaining 14 species tested in artificial streams. Chironomidae did not experience higher mortality in m treated stream reaches. Amanda ms (Plecoptera: Perlidae) nymphs exposed to a high (100 ppm 6 120 mins) 3.“. dosage drifted at a higher frequency than nymphs not exposed. Predatory stoneflies consumed dead (BLL- and heat-killed) and live black fly larvae at similar rates for all trials, with no measurable adverse effects, except one where Ismda signata consumed significantly fewer dead than live black flies. Qemtopsxchg spams. predators consumed significantly more ELL-killed than live black fly larvae, apparently resulting from shorter handling time, without observable ill effects. Detritivorous stoneflies and mayflies switched to consuming significant amounts of black fly larvae once the larvae were killed with ELL, also showing no negative effects. Siphlgnnms mpidns nymphs, however, grew at higher rates when given ELL-contaminated black flies. This was attributable to increased food (dead black fly larvae) quality and/or quantity. EAL-contaminated black fly larvae remained in the stream for up to 16 d before decomposing beyond recognition. Bioassays using black fly larvae showed that pool sediments contained viable m for up to 11 d. m appears harmless to most non-target insects when directly or indirectly exposed even at high application rates (2 100 ppm m. m applied at operating field dosages poses little direct toxic threat to non- target species. Also, predators and detritivores that consumed ELL- contaminated black flies showed no observable adverse affects. 44 INTRODUCTION Bacillus Wm var. ismelensis de Barjac (ELL) is an effective biocontml agent used for black flies and mosquitoes, and is targeted at their larval stages to ultimately suppress adult populations. Its use has increased nationally and world-wide (WHO 197 9, Gaugler and Finney 1982, Lacey and Undeen 1987) since its discovery (Goldberg and Margalit 1977). ELL is a gut poison, thus must be ingested by potential hosts to be effective. It contains parasporal inclusion bodies that dissolve in the insect gut, giving rise to proteinaceous toxins that are activated in the host's gut. The toxin binds to then solubilizes the gut cell wall, and quickly kills the targeted larvae (Dubois and Lewis 1981, Aronson et a1. 1986). The combination of filter feeding behavior of the target Simuliidae and Culicidae larvae, their relatively high gut pH, and the proper complement of proteolytic enzymes enables capture, dissolution and activation of the toxin- containing parasporal inclusion bodies (Lacey and Mulla 1990). Widespread acceptance of ELL use has been slow, especially for use in lotic habitats against black flies, because of possible deleterious effects on beneficial species, and community food web structure, especially fisheries (Lacey and Mulla 1990). The majority of the literature reports little effect of 3.1.1, on non-target species (Colbo and Undeen 1980, Ali 1981, Molloy and J amnback 1981, Lacey et al. 1982, Chilcott et al. 1983, Pistrang and Burger 1984, Gibbs et al. 1986, Merritt et al. 1989), including trout (Wipfli 1992), although most studies have investigated only short term (days to months) 45 population changes and macroinvertebrate drifl: (reviewed by Molloy 1982). Many previously published studies on non-target B__LL impacts are difficult to evaluate because of pseudoreplication problems (Hurlbert 1984), sampling problems and methods (Merritt and Cummins 1984), adult emergence, low densities (Merritt et al. 1989), and patchy spatial distributions of macroinvertebrates in aquatic habitats. These problems may potentially mask subtle population changes with non-target species, and population changes with species at low densities following ELL application. In spite of these problems, some studies have indicated that certain non-target species may be sensitive to ELL. Experimental ELL applications caused increased mortality in certain Chironomidae (Pistrang and Burger 1984, Rutschke and Grunewald 1984, De Moor and Car 1986), Blephariceridae (Back et al. 1985), and Ephemeroptera (Car and De Moor 1984). Increased drift with certain Ephemeroptera and Trichoptera (Pistrang and Burger 1984, Dejoux et al. 1985, De Moor and Car 1986) was also seen following ELL application. [See Lacey and Mulla 1990 for a further review of the short term impacts of ELL on non-target species]. Few studies have investigated indirect (food-chain) lethal and sublethal, and long term (chronic) impacts with non-target species directly or indirectly linked to black flies (e.g., predators, competitors, and other members of the food web). There have been some food-chain toxicity studies and predator-prey studies dealing with ELL use in lentic systems (Lacey and Mulla 1990), but I know of no published studies lotic systems. Lacey and Mulla (1990) stated one reason that certain lotic insects are not affected 46 by ELL is their non-filtering mode of feeding (e.g., predator, scraper, gatherer, detritivore). However, non-target insects may ingest the toxin by consuming ELL-intoxicated black flies. Aly et al. (1985) found that ELL grows and sporulates inside dead hosts, and becomes more toxic following ELL treatment. Little is understood about aquatic insect digestion in many taxa. Thus, these non-target insects could potentially consume ELL, and subsequently be lethally or sublethally affected. Lacey (1983) reported mortality in certain species of predatory mosquitoes when these and their mosquito prey were simultaneously exposed to varying ELL concentrations, however prey consumption was not mentioned. Sebastien and Brust (1981) observed predation on ELL-intoxicated (dead) mosquito larvae by selected Odonata and Hemiptera without increased predator mortality, but statistical comparisons were not made. No adverse effects were seen on Odonata predators after they ingested ELL-contaminated mosquito larvae (Aly and Mulla 1987 ). Wipfli (1992) reported no food-chain toxicity with brown trout after fingerlings consumed ELL-intoxicated black fly larvae. To my knowledge, no published studies have examined functional and ecological changes in lotic ecosystems associated with transforming live black fly larvae to dead larvae. Wipfli (1992) found significant diet changes With Amnemia 11:21:13.5 (Newman) and Eametina media (Walker) following ELL applications, where A, 13mins did not switch, and where E media switched to alternate prey. The objectives of this study were to evaluate short term direct and indirect impact of ELL in lotic systems by investigating (1) non-target 47 species mortality resulting from direct ELL exposure, (2) consumption rates of ELL-contaminated black flies by predators and detritivores, (3) changes in life history parameters (nymphal mortality and growth rates, and adult mass, emergence success and phenology) of selected non-target insect species resulting from indirect ELL exposure through consuming ELL-contaminated black fly larvae, (4) the fate of ELL-contaminated black fly larvae (excluding loss due to benthic macroinvertebrate consumers), and (5) persistence of ELL toxin in stream sediments. Components of this study utilized streamside artificial channels (Wipfli 1992) specifically designed to alleviate the problems of pseudoreplication, sampling, adult emergence, and inherently low densities and contagious spatial - distributions of macroinvertebrates in lotic systems; problems that have plagued many previous studies. This study focused on macroinvertebrate species known or suspected to be directly sensitive (Diptera, Ephemeroptera, Trichoptera), or indirectly sensitive (Plecoptera predators via consuming ELL-contaminated black fly larvae) to ELL. MATERIALS AND METHODS L_S.tndlaitc The field studies were conducted April-July during 1990 and 1991 in Medora River, Aetna Creek, and Manganese River in Keweenaw County, Michigan, USA. Medora and Manganese Rivers are second order streams that drain Lakes Medora and Manganese, respectively. Aetna 48 Creek is a first order stream draining a small unnamed lake. Laurentian shield predominates the regional geology giving rise to lotic systems characterized by bedrock erosional areas, some containing sediments within a wide particle size range (pebble through boulder), broken up by small pools. These sites were chosen based on certain criteria; high black fly density, wide diversity and abundance of other macroinvertebrate fauna, and appropriate site specific vertical drop for artificial stream use. Experiments were carried out using artificial streams (Wipfli 1992) for all except the Chironomidae and one Tipulidae trial (which were conducted in-stream). The artificial streams consisted of 80 circular channels that utilized gravity delivered stream water, and were operated at the Medora River site. Insects were collected at or near the field site (immediately before experiments began), except for Athefix sp. and Qaenis sp. which were transported from nearby sites. ELL (Teknar® HP-D, #9602579) product used in this study was supplied by Zoecon Corp., Dallas, Texas, U.S.A. “MW Three water current velocities were maintained in the channels, depending on experimental insects under investigation. In experiments with rifle-collected insects (predators and baetid mayflies) water velocity averaged 21 cm/s. With leaf pack-collected and pool-collected insects, water velocity average 11 and 0-5 cm/s, respectively. All channels were fitted with clear lids during experiments. : . “w: -; ...: u. ‘ up; .. ‘.:- : H. a... . ”a...“ channels. Selected aquatic insect species (Table 1) were directly and/or indirectly exposed to ELL to investigate specific changes associated with these insects during and after exposure to this toxin: drift behavior, feeding habits, survival, growth, and adult emergence success, and adult emergence phenology. Specific experimental insect species were chosen based on their suspected potential ELL sensitivity [e.g.; Diptera, Ephemeroptera, Trichoptera (Lacey and Mulla 1990)], their functional feeding group [e.g.; predators, Plecoptera (Merritt and Cummins 1984)], and their local availability. Direct ELL exposure. Insects were exposed to ELL concentrations from 15 to 100 ppm for periods up to 120 mins, depending on the specific experiment or taxa being tested (Tables 2 & 3). Some exposure trials involved initially ‘pulsing' channel water (and insects) with 10,000 ppm ELL to measure mortality following an "extreme overdose". Label recommended rates range up to 22 ppm for 1 min. All treatments were replicated 4 to 15 times, depending on experiment. For mortahty experiments, treatments included exposing insects to ELL in the absence or presence of ELL-contaminated food (as will be further discussed) at various ELL concentrations and exposure periods, with mortality being recorded throughout the experiment. Controls were handled in the same, but with no ELL. Experimental variables are 50 Table 1. Insect taxa used to test the impact of B.t.i, on non—target aquatic insects. Taxon Functional feeding groupa Diptera Athericidae Atherix 181mm Walker Tipulidae Ma abdominalis (Say) Ephemeroptera Baetidae Baetis flavieriga McDunnough Caenidae (laenis amica Hagen Ephemerellidae Ephemerella subvaria McDunnough Heptageniidae Arthrgplea bipgngtata (McDunnough) Leptophlebiidae W adenine (McDunnough) Siphlonuridae Sinhlnnums Lanidiis McDunnough Plecoptera Nemouridae mm complega (Walker) Perlidae mm 13882118: (Newman) Beaming media (Walker) Perlodidae 1391181118 51198118 Frison 15222118 m (Banks) Trichoptera Hydropsychidae 9mm: mm (Ross) Philopotamidae thmarra aLerrima Hagen predator shredder-detritivore collector-gatherer, scraper collector-gatherer, scraper collector-gatherer, scraper collector-filterer collector-gatherer, shredder-detritivore collector-gatherer, shredder-detritivore shredder-detritivore predator predator predator, collector-gatherer predator, collector-gatherer predator, collector-filterer collector-filterer 8‘ Based on genus, taken from Merritt and Cummins (1984). 8:: 8H @ 88 8H 8 1le .m 3 @838 85 8383 am. 83383 :vbfioov 338.88 .88 83:85.8 8 H E om; 8388 8385-434m Am .25 3 g 59 m 388 .8888 8 88 8H 8 8.8 2 8 Add 3 8825 8883888 :59... 3898 $5 5385 8% 838883 3833 328.88 .38 8383.8 8 E S om; 8382 383...-fl Am .9»: 3 «Inga 89 8 H88 om © 8%: ma 888 g 8883 8383-3 8 mg 328.88 .38 858898 c 3 ca om; €385.88: AN .3: G 3 89 m H88 om © 8mg 3 © Add 8 @8888 $5 #885 w. 838883 a 328.88 .88 83888 p m OH cm; 8.382 63895.43 8 .95 2 g 89 N 88 cm 8 8.8 8H 88: 3.8 8825 853888 :38: 88th @8838dfl8 a 3:888 .33 8:898 HV m 2 8H 8383.38: 8 .8: :H 38% 8: H 03.8838 833:6 Z :058 «33. 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Table 4. Experimental variables and parameters of streamside studies examining drift frequency during and predation rates of three predatory stoneflies following B.t,i, exposure, conducted in artificial channels. Predator sp. Treatments N Parameters measureda mm 1) 0 ppm, 2) 100 ppm 10 time spent drifting lyggrias B,t.i, @ 120 min predation rate Baragnetina 1) 0 ppm, 2) 100 ppm 10 time spent drifting media ELL @ 120 min predation rate M 1) 0 ppm, 2) 100 ppm 10 time spent drifting Sim B,t.i= @ 120 min predation rate a Time spent drifting was estimated by counting the number of revolutions that each animal drifted and converting to time based on known water current velocity. Drift data were taken during the last 60 min of 13,101, exposure for each treatment pair. 57 presented in Tables 2 & 3. Dead experimental insects were counted and removed at least once every two days throughout the experiment. For behavioral drift experiments (conducted only with predators), insects were exposed to 100 ppm BALL for 120 mins (Table 4), with drift measured in each of five replicates over 10 mins during the last 60 mins of BAA. exposure. The number of revolutions individual insects drifted was recorded. These data were converted to time spent drifting based on the known distance of one revolution (21 cm) and water current velocity. Controls contained insects exposed to no ELL- Experiments were also conducted to investigate changes in predator feeding habits following ELL exposure. Individual plecopteran predators were exposed to ELL (0 or 100 ppm @ 120 mins) and then given a known number of live black fly larvae 6 hrs later. Number of black flies consumed over 24 hrs was determined the following day by counting remaining larvae and subtracting this number from the original number. Controls were handled in the same fashion, but contained no predators to measure non- predator prey loss. Indirect (food-chain) ELL exposure. Experiments on food-chain exposure to BALL were carried out with predators, detritivores, collectors, and scrapers by supplying these with excess ELL-killed or live black fly larvae throughout the experiment. Some experiments included 'heat-killed' black fly larvae as a third treatment. For experiments 1-7 (Table 2), 'm-killed' larvae were added to channels as live larvae, then treated with ELL along with experimental insects. Remaining experiments involved adding 'pre-ELL-killed' larvae to channels, then exposing both these and experimental insects to ELL. The 'heat-killed' black fly larvae were exposed to 45 °C water for ca. 20 secs either directly in the artificial channels (with experimental insects removed), or prior to being placed in the channels. These experiments were often coupled with the direct exposure experiments described above (Tables 2 & 3). For experiments investigating consumption rates of non-target insects on live and dead (ELL- and heat-treated) black flies, experimental insects were provisioned with a known number of black fly larvae prior to the experiment (Experiments 1-7, 9, 20, 21; Tables 2 & 3). Consumed black flies were counted and replaced every 24 hrs. To estimate non-consumptive black fly 'loss', controls were included that contained black flies with no experimental insects. For survival experiments using Plecoptera and Diptera predators (Experiments 2, 3, 4, 8; Table 2), one predator was placed per channel and replaced every 24 to 48 hrs following death or adult emergence. Trichoptera predator experiments started with 5 predators per channel, and proceeded without predator replacement (Experiment 7; Table 2). All other survival experiments incorporated five or ten experimental insects per channel (supplied with excess black flies), also without replacement. Dead insects were counted, removed, (and replaced depending on experiment) on a daily basis. Two experiments investigated the influence of ELL on insect growth 59 rate (Tables 2 & 3; Experiments 4, 16), both measured difi‘erently. For Experiment 4 (Impala sp.), similar sized nymphs were placed in channels, treatments applied, and following adult emergence, adult wet mass was measured using a Sartorius‘” 1207 MPZ pan balance. Growth was also estimated for a mayfly. Sinhlnnums sp. (Experiment 16), by collecting nymphs within a narrow size class (middle instars), placing 10 nymphs per channel for 10 channels, applying treatments, and measuring increased body mass over 7d. A subsample of 10 nymphs was taken at the onset of the experiment and placed in Kahle's solution (Borror et al. 1989), oven dried at 35 °C for 48 hrs, and weighed on a Calm® 27 electrobalance to the nearest 0.01 mg to establish average initial nymphal mass. At the end of the experiment, live nymphs were collected and placed into vials containing Kahle's solution for each treatment and replicate, and nymphal mass estimated as above. Growth was calculated by subtracting estimated initial dry mass from final dry mass for each nymph per replicate per treatment. Nymphal mortality was negligible for both treatments so data were not weighted to account for unequal nymph number/channel at the end of the experiment. Two experiments (#4, 15) were designed to investigate adult emergence phenology, and four experiments (#4, 9, 10, 15) involved studying adult emergence success with four insect species following indirect (coupled with direct) 3.12.1, exposure. Phenology was measured by recording the day individual adults emerged throughout the experiment (up to 21 d). Time period required for adult emergence was calculated as the number of days from the onset of the experiment to adult emergence, and was averaged 6) across all individuals per channel (=replicate). Adult emergence success was measured by counting adults that successfully emerged throughout the experiment. Cumulative emergent adults were recorded for each replicate for each treatment. During experiments with leaf pack-collected insects, stream conditioned leaves were placed in channels, and replenished as they were consumed by experimental insects. Conditioned leaves consisting of approximately equal ratios of speckled alder (Alma mm (Du Roi) Sprengel), sugar maple (Am sagghamm Marshall), paper birch (3311.113 9312mm Marshall), and northern red oak (Qnmns mbxa Linnaeus), were collected from the river, fragmented into small (ca. 2 x 2 cm) pieces, and placed in channels prior to experiments. The equivalent of two leaves per channel was added in experiments with detritivorous mayflies and stoneflies, and five leaves per channel with I, abdominalis. ELL applications were made using an inverted 23 L plastic container that delivered a ELi—water solution of known and constant ELL concentration to pre-specified channels. The 23 L container delivered ELL solution to a 2.6 L bucket which was fitted with ten 1.3 mm ID tubes at its base, which ultimately delivered the ELL solution to respective channels (Wipfli 1992). Treatments consisted of no ELL and ELL dosages from 15- 100 ppm applied up to 120 mins, depending on experiment. A sudden 10,000 ppm ELL 'pulse' was administered with a 5 ml pipette at the onset of some experiments (Tables 2 & 3), that remained for several seconds before being flushed through the channels. If a species was found to be ELL sensitive, 61 additional experiments followed at progressively lower ELL concentrations (and without the 'pulse') to find a 'critical' point beyond which significant mortality did not occur. ELL induced mortality was investigated with L ahdgminalis during in-stream experiments. Treatments were blocked across three streams to reduce pseudoreplication problems. This design allowed for true replication of treatments, but did not avoid the problem of non-random application of treatments (i.e., the control treatment was the upstream reach, and the ELL treatment was the downstream reach, across all blocks). Five I. ahdgminaljs larvae were placed in each of six 2 mm mesh galvanized metal screen bags (15 x 15 cm) along with approximately 20 stream-collected conditioned leaves. With insects and leaves freshly added, bag tops were stapled closed and immediately placed two per site in Medora and Manganese rivers, and Aetna Creek. Bags were completely submerged and placed against natural leaf packs; microhabitats where I, ahdgminalis larvae were collected. Bags were longitudinally distanced from each other by ca. 50 m in each river. ELL was calibrated, based on specific stream discharge, and applied the following day at 22.5 ppm over 1 min (recommended field rates) at a point midway between bags in each stream. Thus, the upstream bag served as a control while the downstream bag was ELi-exposed. Treatments were blocked across rivers giving three blocks of two treatments. One week later, bags were collected and I. ahdnminalis larvae removed to record mortality. An experiment designed to measure Chironomidae mortality resulting 62 from ELL applications was carried out in Manganese River during May and June, 1991. To eliminate psuedoreplication problems, treatments were longitudinally blocked upstream through time. This design did not, however, incorporate interdispersion of treatments. A 1 km stretch of river was longitudinally sectioned into 5 overlapping blocks such that sequential blocks overlapped each previous block by ca. 50% (Figure 1) as one progressed upstream. Block 1 was farthest downstream, and block 5 farthest upstream, ending approximately 100 m below Lake Manganese outlet. This design allowed treatment comparisons 'above and below' (across five blocks) and 'before and after' (across four blocks) ELL. ELL was applied (100 ppm @ 1 min) weekly to each successive block, beginning with block 1 during week 1, and ending with block 5 during week 5. To estimate Chironomidae densities, three rocks (surface area; mean = 457, range = 287-941) were randomly chosen and collected from erosional zones in each 'plot' within each respective block, one week following ELL application to that block. Macroinvertebrates were immediately brushed off each set of three rocks into a sorting tray. All visible Chironomidae (down to ca. 0.5 mm) were counted and placed in a vial containing 70% ETOH for each treatment per block. A randomized complete block design (RCB) was used for in-stream exposure studies with both Tipulidae and Chironomidae. Larval black fly decomposition and release rates following ELL application were investigated in the artificial channels. Four trials were conducted over two years at different mean water temperatures. One trial Lake Manganese ABOVE/BELOW ~> BEFORE/AFTER Block 5 ? Block 4 > p Block 4 J Block 3 ' r Block 3 J Block 2 ' P Block 2 J Block I 9 Block I b Figure 1. Diagramatic representation of experimental design used to measure in-stream mortality of Chironomidae following Bacillus Lhmingjensia var. was application. AP = ELL application point. 64 ran in May and another in July during 1990. Third and forth trials were conducted in April and June 1991. Ten black fly larvae were placed in each of ten channels at 21 cm/s mean water current velocity. After acclimating for 2 hrs, larvae were treated with 20 ppm ELL for 60 mins. Release rates were evaluated by counting the number of larvae that released from their attachment site at 24 hr intervals until no larvae were attached. Decomposition rates were estimated by rating attached larvae on a 1-4 scale based on the level of bodily loss; owing either to larval fragmentation or fungal encasement: 1 = intact larvae, no encasement, 2 = individual larvae showing an estimated 1-33% bodily loss or encasement, 3 = individual larvae showing an estimated 34- 66% bodily loss or encasement, 4 = individual larvae showing an estimated 67-99% bodily loss or encasement. I B | . . | . I 1° | A small braided section of the Medora River was chosen to study ELL persistence in stream sediments. ELL was calibrated (based on calculated discharge of this braided section) and applied at an overdose of 1000 ppm for 10 mins. Every 1-2 d, black fly larvae were collected from Medora River and placed 10 per channel in 20 channels, and allowed to acclimate for 2 hrs. Water velocity in channels was maintained near 21 cm/s. About 300 ml of stream sediments were collected at each of two pool sites within the braided section of river by skimming a 1 cm layer from pool sediment surfaces. Sediments were collected approximately 5 m upstream (=control, no ELL) and 65 downstream (=ELL-tainted) from the ELL application point. ‘Control' and 'ELL-tainted' sediments were separately mixed with 23 L of stream water into each of two 23 L applicators, and applied over 1 hr to respective channels. The following day, larval black fly mortality was recorded by counting the number of live larvae (determined by observing movement presence or absence when prodded) and subtracting this value fiom 10. This experiment proceeded until ELL-containing sediments no longer. killed larvae. III SI |° |° ] 1 All experiments conducted in artificial channels employed a complete randomized design (CRD). Data on prey consumption, percent mortality, growth rates, percent adult emergence, and adult emergence phenology from these experiments were analyzed using one-way AN OVA. Treatment means were compared to control means using Dunnett's test (two-sided), or using a T-test at p = 0.05 (Steel and Torrie 1980). Prey consumption data were analyzed based on daily means. Mortality, growth, and adult emergence success data were analyzed using cumulative values. Adult emergence phenology was recorded as the number of days from the onset of the experiment until 60% of adults emerged, for each treatment. Individual treatments were compared to control treatments (Ho: control mean = 'treatment' means; HA: means at), for all experiments. Data from in-stream Tipulidae and Chironomidae experiments were analyzed with two-way ANOVA (treatment x block) at p = 0.05 (RCB). The effects of time (BEFORE and AFTER), and space (ABOVE and BELOW), 66 could not be separated out, and therefore, became part of the blocking efi‘ect. Hypotheses tested were; Ho: control mean = 'treatment' means; HA: means at. Data from ELL and ELL-contaminated black fly larvae persistence trials were recorded through time and SE. calculated for graphical representation. Normality and variance heterogeneity assumptions were checked and data transformed using log10 [x + 1], when necessary. Sample and treatment independence was assumed based on experimental design and protocol employed. RESULTS : . Hm: -; _.'-: u. . “’3 .. .N. : H. “I. . ”0...”: channels. Predators consumed a significant quantity of dead (ELL and heat- treated) black flies, without observable treatment effects, relative to controls (Table 5). Ismrh signnm nymphs consumed significantly fewer dead than live larvae during Experiment 2 (p < 0.05). All other experiments with this predator indicated no reduced predation on dead (ELL heat-killed) vs. live larvae (Table 5). Resulting predator mortality after consuming ELL- treated larvae was not statistically significant. In addition, adult emergence phenology and success, and adult mass of L signal; was not affected for nymphs that consumed ELL-intoxicated black fly larvae. Amanda homing and E media both consumed approximately an Afibfioov o.o c 3 H 3 Samara a 338 --- ed a md H m6 3: 2 Huang 89 m ed a we H ed 585.13 a «quad o.o e .3 H 2: as: a 333 89 m a 3A H 3.9 m wd H 3: m mam: H odw 0.0 a HA H wdH weasepu-g AN am a m? H 3.2 a we H w: c. 3:. H 0.8 ed a E H mm 2,: : Hague...— 82 e o.o a o4 H mac. 335.43 a ..-- --- ed a NA H Qm 3395.36: 8 g od m ad H Wm 2,: 3 g 89 m od c 3 H 3 385.43 a mafia o.o c 9o H Hm 2.: a a 89 m m hm H 93 a 5m H km a cg H Wm @335- .n q n 8 a Hm H a: e «a H an a 3 H hm 385.32 a ”mafia a hm H mm a hm H mm a 3 H «a can a a 82 H 38V mmmE monomcmfio $835 $23.88 .Qfismaoo nmmow 3 2:98 $6on 58% .o: £st :35 mocewcofim 12.38%: mm xoflm .Gomfidcoo. .3 x33 83¢on dam 3:5 3:: mama 25pm cs es ”massages «.35 x33 veamfifimucoo mcsmmwfi nudes“ 38865 .8 £88m. Add 3 @3098 38%: cassava bopmcma mo 53on was $33323 oecewcmfio :35 .8825 85325 :35 £623 £53.88 33.89 6333.5 .m 2nt .413. B vmmogxm Ampopmvma «.88 323 ha M33 .1. w3m2fifl x3398 Ho: 98 22:85 8on @9688 €onva fitsv 8mm om n .8.“ .833 O 09» n 3 @0898 max/.81..“ «623 n uSmmSé—«mn ”2838 "V 85 x35 9,: n 35 a .mmcmu wmuficmvgm mummxse EB <>OZ< .8 $8-9 @3me was: .mod n a an HGBMEG 238$:me no: v.8 Amazofitonxm 3:35 .833 8:3 ms... 3 3333“ .m@ H £832 a o.o 585.3 a flag 3 2.: s 3H 52 w a mm H o? o. No H mm c385.fi1m.a Hg m. 3 H qua a no H 3 a»: a «mag 82 H 3:: mmmS moammumam 3825 3:388 @8538 ammow 134M Shim momuomm 23% .0: £35 23%» oucmmgmfim 3:993 ha Mona .cosmvcoo. ma x33 833.5 AVE :35 EH5 989 :35 05 Q» $308389 .5308 .m 3nt w equal amount of live versus dead black fly larvae, without increased predator mortality (Table 5). mm mm, on the other hand, did increase feeding rates on black flies alter the black fly larvae were killed with ELL (p < 0.01) (Table 5) without increased predator mortality. Athezix W predators, also did not suffer increased mortality after being fed ELL-contaminated black flies, although predation on the black flies was not verified. No direct macroinvertebrate mortality resulted following 3.1.1. exposure with all detritivore, grazer, and collector species tested except for a filter- feeding mayfly, and a detritivorous crane fly (Table 6). Anthmplea bjpnnmm nymphs exposed to 10,000 ppm 3.1.1, 'pulse' followed by 100 ppm 3.12.1. over 120 mins resulted in 24% mortality, significantly greater than the control (p < 0.05). 1591113 ahdnminalis larvae exposed to BALL at 10,000 ppm 'pulse' plus 100 ppm for 120 mins, and 100 and 20 ppm ELL for 120 and 60 mins, resulted in 100, 92 and 36% mortality for Exps. 17, 18, and 19, respectively, and had significantly greater mortality than did the controls (p < 0.001) (Table 6). Detritivores that were fed black fly larvae consumed dead (ELL-killed and heat-killed) but not live black flies. Siphlnnma mpjdns consumed a significant number of dead versus live black fly larvae (p < 0.001) (Table 6). During experiments with Ldicala. menleta. Ladentixa. Em and Q, amica, nymphs were observed handling and appeared to be feeding on dead black fly larvae, but feeding was not quantified. In addition, m- treated larvae had to be replenished regularly throughout experiments in 70 3-3. H ”83 odTogv ”@588 Amyufioov «mania dd 8% 2: 6. «338 d --- --- cam: ”dam m --- 35:8 Q SHEEN 89 mm a q: H eon Had 8% 82 a m m6 H v.3 Add Sam 3 a Magda m 3 H 3:. secs 2 3% 82 a a S H o8 dd 8% 82 a a 3 H emu dd 8% 3 a snag --- --- a m6 H oém 35:8 3 3 89 2 a 3: H 3a a 3 H Q8 g can 2: Am aqua w GS H 0.8 H.. mm H oém 35:8 3 ”2:28:35 89 2 m wdm H 9Q. m. ms H odm n md H Qmm @385- .. H m 8 m mm: H Be a 3 H ow a E H mam 38.5-32 a 3% m mm; H 04% a QB H 93 m «6 H md 9,: Q mandazqmm 89 m 336 u .8 38V 3328 $836 $23.88 .Qfismcoo ammoc Add use v33» 53% 6: 5mm mama 33cm. meow oocowumfim :39qu mm xoflm 358329 36QO dxm Rana? ES. 99% H :33 e e «.85 x33 wouwcmESQoo wafimowfi nmsopfi 38865 .8 383% Add 3 3898 mumcoflémfia can 68an .mumcwmufi @3023 no £3on van .3332.“ 85325 “Eve .9383 monomumfim :33 “:8ng $33.88 “smegma .85 #33 mo :ofiagmcoo .w mime fl 6.82; a Q... H Q8 Hem 8% 2: a wlzmclqmm: m Qm H Qm 3888 2 Emma 82 S 8 Q2: 8+4; 8% 8H 3. Has a Qo 3.588 a fig 82 S a oQo H 88 a E H Q3 in 8% 82 a :2 2 a 88 H wQH m 3. H QS 888 3 88:83am 8% a as: Cam quE 8 .8 H Q8 8 m H 2 H Qm H QE 8 Qm H Q2 $13: 8% 82 8 H. Qm H QE 8 m H m: a 5. H Q8 a «.8 H Q8 181m: 8% 2: a 888 m S H Q8 H. m H 8 a E H Q8 a 8.8 H Q3 3888 3 H883 $9. a £08 88 H. Qw H Qm 8+ij m 8% 2: a 8 0.8 H Q8 14mm 8% 8H 8 £88 8 3. H Qfi 3.588 a 8% $9 8 :08 Q8 .8 Rs: wmmeofim $838 3:388 @8228 ammow lqlm. .m 98 63mm: 88% 8: 88m. $88 8:38 088 8889888 Hanna»: mm #85 mucmqswourr $8QO .axm 88882 :8: 988 H :38 Q0 8 . .8288 .m 833. .88 08.5... :8 88 $888.95 :83qu 8288.va ammommammm oz 9 88:58.5 .8 833.88% 88388 8m m 8585 88m n .Godvnv 88 $8855 38 <>OZ< .8 83-8 @889 mam: .mod n a 8 888ch 388.888 8: 8.8 AmEmEEonm 5583 .833 8:88 85 .3 326:8.“ .mm H 382 a m 5 H Q8 Qo 8888-83 8 88.88% a 3. H Q3 8.8 9,: Q g 88 8 n 3. H Q8 Qo 838.8.qu 8 88838 m 3 H QH Qo 2: a 8.8888. 8.9 8 8 SH H Q8 jam. 8% 8 a 38888.8 #8 Qo 3888 2 38a 82 9 8:88 88 .8 3:5 vmmHoEm 8828 3:388 @8888 ammov Add 98 @388 .88» 8: 88m $88 8:38 088 8283888 8:98? ma Moflm 388.839 88QO .me 888882 :8: 988 H :38 8 8 .8388 .m 8389 73 channels containing these detritivores. This larval loss was attributed to detritivore consumption as complete microbial decomposition and fragmentation took more time (one to two weeks). Ms W and A. W nymphs did not consume dead black fly larvae as did detritivores. Nymphal molt frequency and adult emergence phenology was not affected for Q. amica exposed to 3.1.1. and given ELL—contaminated leaves and black flies (Table 6). Life history parameters of mortality and adult emergence were not affected for S. m: after nymphs consumed ELL-contaminated food (Table 6). However, S. 1391an nymphs given ELL-contaminated black flies as well as leaves grew significantly faster than nymphs with only leaves for food (p < 0.001). Predators showed no behavioral changes following ELL exposure except for A. lymn’as nymphs that increased time spent drifting at 100 ppm BALL concentration (p < 0.05) (Table 7). None of the We predators teswd showed immediate (over the following 24 hrs) feeding habit changes in response to BALL application (Table 7). After being exposed to ELL. these predators consumed equal amounts of black flies as did predators not exposed to 3.1.1.. Although ’there was a trend towards lower Chironomidae densities in ELL-treated stream sections, 'ABOVE and BELOW' (Figure 2A) and 'BEFORE and AFTER' (figure 2B) midge population levels were not significantly different between ELL-treated and untreated stream reaches, during the 5 wk study. In-stream studies with I. abdominalis showed that Table 7. Time spent drifting during B,t,i, exposure and subsequent predation on black fly larvae after B.t.i, exposure, with three predatory stonefliesa. Time spent Subsequent Predator sp. Treatments drifting (mins)b predationc AW 1) control 3.6 i- 3.5 a 7.4 i 1.3 a 122m 2) 100 ppm mi, 27.0 :t 8.6 b 7.6 i 1.2 a 23mm 1) control 0.0 8.7 i 2.2 a media 2) 100 ppm BALL 0.0 8.5 i 2.2 a Mafia 1) control 8.2 i 5.3 a 10.9 :t 1.1 a m 2) 100 ppm B,t.i, 2.6 i- 2.3 a 10.5 i 1.2 a a Means :t SE. followed by the same letter (within predators) not significantly different at p = 0.05, using paired T-test. b Time spent drifting was estimated by counting the number of revolutions that each animal drifted and converting to time based on known water current velocity. Drift data were taken during the last 60 min of 3.1.1, exposure for each treatment pair. c Mean number of black fly larvae consumed / predator / 24 h, immediately following 3.1.1. exposure. 75 250° A. —e— 'ABOVE' B.t.i. (control) —9— 'BELOW’ B.t.i. (treated) 2000 1500 1000 500 0 l ' I ' 1 v 1 v I . 6 May 17 May 22 May 31 May 6June DATE MEAN NUMBER OF CHIRONOMIDAE I SQUARE METER 2500 B —9— 'BEFORE' B.t.i. (control) ' —.— 'AFI'ER' B.t.i. (treated) 2000 1500 1000 500 ns 0 l I I ' fl 0 1 2 3 4 5 BLOCK Figure 2. In-stream Chironomidae densities (A.) 'ABOVE vs. BELOW' and (3.) 'BEFORE vs. AFTER' Bacillus thun'ngiensis var. israelensis applications. [ns = not significant @ p = 0.05]. 76 these nematoceran Diptera were not sensitive to ELL when it was applied at recommended rates. ELL-treated and untreated I. abdominalis larvae showed equal levels of mortality (Figure 3). Complete larval black fly 'loss' from substrate (owing to larval release or decomposition) took 4 to 16 d (Figures 4A & B, 5A & B), and appeared to be dependent on water temperature. Higher water temperatures resulted in greater release of larvae, and in greater decomposition rates. Black flies immediately began releasing from their attachment sites following ELL- application, with the greatest release rates within 2 days of application. All released larvae were dead when collected (24 hr intervals). Decomposition rates lagged behind release rates with significant larval 'loss' from decomposition or fungal encasement beginning as late as 10 (1 following larval death, recorded at the lowest water temperature (5.5 °C) (figure 5A). I B | . . | . | 1° | Bioassays indicated that the toxic components of ELL remained present or viable in stream pool sediments for 11 d (Figure 6). Viability loss began 7 - 9 d following 3.1.1, application, with most rapid decline occurring 9 to 12 (1. DISCUSSION Exposure to ELL did not result in increased macroinvertebrate mortality for most Diptera, Ephemeroptera, Plecoptera, and Trichoptera tested in this study. However, two species were ELL sensitive at unusually >- 100 ' t . :r‘ t- 80 ‘ a: 0 cl 2 < .J :3 E I- 32 z 4 Lu 2 'ABOVE' B.t.i. 'BELOW B.t.i. TREATMENT Figure 3. T191113 abdominalis mortality 'ABOVE vs. BELOW‘ during in- stream B.t.j, applications. Error bars represent S.E. [ns = not significant @ p = 0.05]. 78 A. Water temperature: mean . 15.8° C 1oo_l’ange=11.O-19.O°C _100 1 . 80 .. —6— % Released _ 80 . —O-— % Decomposition ,. 60 - - 60 4O - BTI applied .. 40 20 - - 20 0 1 r 0 B Water temperature: ——e— % Released mean-19.1°c —O— %Decomposition MEAN % BLACK FLY LARVAE RELEASED MEAN % LARVAL DECOMPOSITION 100_ranger-17.0-22.O°C {100 80-: -80 6° ‘ BTI applied :60 40- -4o 20: :20 01 . , . . . . 'o O 1 2 3 4 5 6 DAYS FOLLOWING BTI APPLICATION Figure 4. Percent larval black fly decomposition and release from their attachment sites following Bacillus 1212mm var. was application during (A.) May, and (B.) July, 1990. Error bars represent S.E. A Water temperature: ' mean a 55° C range . 1.0 -10.0° C 100- -100 . —e— % Released _ 80 . —-O— % Decomposition .-. I. .- _ 80 60 - BTI applied - 60 1 1- § 40 - - 40 < ‘ ' Z 51 20 - - 20 2 ul . _ I: l: a) I“ 0 - I I 1 I ' I 1 O 2 g 1 3 5 7 9 11 13 15 5 a: < 8 " o >. d B. Water temperature: a. a: mean - 19.0° c E 2 range: 16.5 -21.5° C 5 a: 100:8Tlapplied [100 32 z 322 so - - 80 < m < . . E m E 60 ~ - 60 4o - - 4o 20 _ —6— % Released _ 20 . —O—- % Decomposition _ 0 '1 0 13579111315 DAYS FOLLOWING BTI APPLICATION Figure 5. Percent larval black fly decomposition and release from their attachment sites following Bacillus Lhmjngiensis var. 15139131515 application during (A.) April, and (B.) June, 1991. Error bars represent S.E. t -— 3 100 < .. E 0 so - 5 l 5 60 - l I 5 40 S . —O— BTI-tainted SEDIMENTS m _ —O-- 'CLEAN'SEDIMENTS 32 20 z I a O-l 1 fl I ‘ I i I s 0 2 4 6 8 10 12 14 DAYS FOLLOWING BTI APPLICATION Figure 6. Percent black fly mortality, in artificial streams, from exposure to B.t.i.-tainted and clean sediments collected from depositional zones within m-treated and untreated river reaches. Error bars represent S.E. 81 high dosages; Anhmnlea hinunctata. a filter feeding mayfly. and I. abdominalin, a detritivorous crane fly. Ma ahdgminalis was sensitive to B.t.i. at all concentrations above field operating dosages. Others have also reported nematoceran Diptera sensitivity to B.t.i. (Back et al. 1985, Pistrang and Burger 1984, de Moor and Car 1986). When I exposed these detritivores to B.t.i. at recommended rates, their survival was not affected. This suggests that when treating lotic systems with B.t.i., applicators need to accurately measure stream discharge and carefully calculate and apply the appropriate B.t.i. dose so that non-target species will not be killed. Shredders in stream ecosystems play a major role converting large particulate organic matter (CPOM) such as leaf litter and woody debris into fine particulate organic matter (FPOM) (Cummins et al. 1989). Loss of these and other Dipteran shredders (e.g., Bxillia and Xflgtms spp.) could profoundly retard CPOM processing and could affect nutrient flow in streams. Arthmplga hinunmm nymphs exposed to high levels of 34.1, also died. Logistical problems, however, prevented me from further testing the sensitivity of these nymphs to lower B.t.i. concentrations. The filter-feeding habits of this mayfly may have allowed a route for B.t.i. to their digestive tracts. This, combined with the high B.t.i., application rate (10,000 ppm 'pulse' plus 100 ppm @ 120 mins) that these mayflies were exposed, resulted in 25% nymphal mortality over 7 d. Survival would probably not have been affected if A. hinunmm nymphs had been exposed to operational field dosages. 82 Chironomidae populations were not significantly reduced following B.t.i.. application. Chironomids were grouped to evaluate the impact of B.t.i.. on the total Chironomidae population. Individual species, however, may have been sensitive to B.t.i., but species population changes may have been masked by taxonomically lumping the Order. Several studies have indicated that certain chironomid species are sensitive to B.t.i. (Miura et al. 1980, de Moor and Car 1986, Merritt et al. 1989). This study investigated sub-chronic, food-chain, and ecological impacts of B.t.i. on non-target macroinvertebrates. Predators consumed dead and live black flies at equal rates for all predators tested with two exceptions. 1m aignm nymphs consumed fewer B.t.i.-treated than live black fly larvae during one trial in 1990, and Q, mama predators ate more dead than live black fly larvae. Peckarsky and Penton (1989) found that certain predatory stoneflies rely on hydrodynamic cues from mobile prey to elicit an attack. Predation rates by L signata, depending on their starvation levels at the onset of individual feeding trials, may have been controlled by the presence or absence of hydrodynamic cues of live and dead black fly larvae, respectively. Lack of consumption rate differences between the two dead (heat- and ELL-killed) black fly larval types by L W (and A. Imaging) indicated that the presence of B.t.i. toxin in black fly cadavers did not deter feeding by these predators. ‘ Higher capture success and decreased handling times on dead versus live black fly larvae may have been causative factors for the increased predation rate of Q, mama. Live black fly larvae frequently drifl; or respond with aggressive biting behavior (Hart 1979) when encountered by other invertebrates. Experiments designed to investigate insect drift in response to B.t.i. showed that one plecopteran species, A. lymrias. was sensitive to the presence of ELL, of the three species tested. This was the only species that driMd in response to B.t.i., but did so at an usually high B.t.i. dose (100 ppm 6 120 mins). Previously published studies also have indicated that certain Ephemeroptera (Pistrang and Burger 1984) and Trichoptera (Dejoux et al. 1985) may show a drift response in the presence of B.t.i.. Consumption of BALL-intoxicated black fly cadavers by predators and detritivores did not result in changes in nymphal survival, development, adult emergence success and phenology of the 15 species tested. However, growth rates for S. rapidns, a detritivore, significantly increased when these nymphs ate dead black fly larvae over a 7 d period. The mayflies consumed the highly nutritious black fly larvae even in the presence of stream conditioned leaves, resulting in faster growth rates than those nymphs given only conditioned leaves as natural food. The sudden short term biomass conversion of live to dead black larvae afier B.t.i. application may have important ecological implications to consumers (e.g., detritivores such as S, mnidna) in lotic systems. Increased growth and body size may equate to shorter generation times, earlier phenological events, higher fecundity, and ultimately increased production for those insects utilizing dead black fly biomass. The availability of B.t.i.-contaminated prey following B.t.i. application was found to be variable and depended on water temperature. Some black fly 84 larvae remained intact for up to 16 din colder water, and thus were potentially available to consumers. Predators utilized dead black fly larvae as food following B.t.i. use. Thus, immediate ecological consequences for this trophic level may be minimal. However, longer term impacts through loss of (black fly) prey may be important, as these predators rely on black flies for food, with overall prey consumption reduced following B.t.i. application (W ipfli 1992). The short persistence (11 d) of B.t.i, in stream sediments in this study suggests that this compartment did not serve as a long term B.t.i. source. Physical factors and pool dwelling benthos therefore can potentially resuspend B.t.i, up into the water column and B.t.i. will remain lethal to sensitive species (e.g., black flies) for up to 11 d. Black flies can quickly recolonize B.t.i.-treated areas by drifting from upstream sites or egg hatching if the toxin is no longer viable or present. However, B.t.i. may be taken up and released in other stream compartments. In conclusion, this study showed that most taxa of aquatic insects were not directly affected by B.t.i.. I found that I, ahdgminalia died at unusually high B.t.i. dosages, but not at recommended field dosages. A filter feeding mayfly, A, W, also died at high B.t.i. concentrations. In addition, all insects tested did not show changes in nymphal survival and growth, and adult emergence success and phenology following food-chain exposure to B.t.i., even though predators and detritivores consumed dead, B.t.i.- contaminated black fly larvae. 85 ACKNOWLEDGMENTS I thank G. Arntsen for offering access to his property allowing me to conduct this study. I also thank R. Edens for his tireless assistance in the field, R. Hall for suggestions on experimental procedures, and D. Molloy, for helpful comments on experimental design. I also thank W. Hilsenhoff for numerous insect identifications, W. McC afi‘erty for mayfly identifications, and S. Szczytko for stonefly identifications. This study was supported, in part, by Sport Fishing Institute Fund grant SFRP-90-26, Northeast Regional Black Fly Project NE-118, and Michigan State University Cooperative Extension Service and Agricultural Experiment Station. 86 LITERATURE CITED Ali. A. 1981. Bacillusthun‘nsiensis eerovar.israelensis(ABG-6108) against chrironomids and some nontarget aquatic invertebrates. J. Invertebr. Pathol. 38: 264—272. Aly, C. and M.S. Mulla. 1987. Effect of two microbial insecticides on aquatic predators of mosquitos. J. Appl. Ent. 103: 113-118. Aly, C., M.S. Mulla, and B.A. Federici. 1985. Sporulation and toxin production by Bacillus thunnsiensis var. ismclensis in cadavers of mosquito larvae (Diptera: Culicidae). J. Invert. Path 46: 251-258. Aronson, A.I., W. Beckman, & P. Dunn. 1986. Bacillus thndngiensis and related insect pathogens. Microbiol. Rev. 50: 1-24. Back, C., J. Boisvert, J .O. Lacoursiere and G. Charpentier. 1985. High- dosage treatment of a Quebec stream with Bacillus mutingignsis var. W3 efficacy against black fly larvae (Diptera: Simuliidae) and impact on non-target insects. Can. Entomol. 117-: 1523-1534. Borror, D.J., C.A. Triplehorn, & N.F. Johnson. (eds.). 1989. An Introduction to the Study of Insects (Sixth edition). Saunders College Publishing, Philadelphia, PA, U.S.A. 875 pp. Car, M. & F.C. De Moor. 1984. The response of Vaal River drift and benthos to Simullnm (Diptera: Nematocera) control using Bacillus thnfingiensis var. imdfinaifi (H-14). Onderstepoort J. Vet. Res. 51: 155- 160. Chilcott, C.N., J .S. Pillai, & J. Kalmakofl'. 1983. Efficacy of W W var. mm as a biocontrol agent against larvae of Simuliidae (Diptera) in New Zealand. N. Z. J. Zool. 10: 319- . Colbo, M.H. & A.H. Undeen. 1980. Effect of Bacillus tlnm'ngignsls var. ismelensis on non-target insects in stream trials for control of Simuliidae. Mosq. News. 40: 368-371. Cummins, K.W., M.A. Wilzbach, D.M. Gates, J .B. Perry, & W.B. Taliaferro. 1989. Shredders and riparian vegetation. Bioscience. 39: 24- 30. Dejoux, C., F.M. Gibon, & L. Yaméogo. 1985. Toxicité pour la faune non- cible de quelques insecticides nouveaux utilises en milieu aquatique tropical. IV. Le Bacillus flmzjngignsjs var. madman. Rev. Hydrobiol. Trop. 18:31-49. De Moor, F.C., & M. Car. 1986. A field evaluation of M1113 thnn'ngjgn gig var. ismelensis as a biological control agent for W M 88 (DipterazNematocera) in the Middle Orange River. Onderstepoort J. Vet. Res. 53:43-50. Dubois, N.R. & F.P. Lewis. 1981. What is Bacillus Lhuzingicnsis? J. Arboriculture. 7: 233-240. Gaugler, R. & J .R. Finney. 1982. A review of Bacillus Lhuziugicusis var. ismclcnsis (serotype 14) as a biological control agent of black flies (Simuliidae), In: D. Molloy, (ed.). Biological Control of Black Flies (Diptera: Simuliidae) with Bacillus thuzingicnsis var. isnaclcnsis (serotype 14): A Review with Recommendations for Laboratory and Field Protocol. Misc. Pub. Entomol. Soc. Amer. 12: 1-18. Gibbs, KE., F.C. Brautigam, C.S. Stubbs, & L.M. Zibilske. 1986. Experimental applications of Bacillus mutingicnsis var. ismclcnsis for larval black fly control: persistence and downstrem carry, eficacy, impact on non-target invertebrates and fish feeding. Maine Life Sci. Agric. Exp. Stn. Tech. Bull. 123: 1-25. Goldberg, L.J., & J. Margalit. 1977. A bacterial spore demonstrating rapid larvicidal activity against Ancnhclcs scrgcntii, Hzanctania unguiculata, Culcx unixitattus, Acdcs acgypji and Culcx pipicns. Mosq. News. 37: 355-358. 89 Hart, DD. 1979. Patchiness and ecological organization: experimental studies within stream benthic communities. Ph.D. Thesis. University of California, Davis. Hurlbert, SH. 1984. Pseudoreplication and the design of ecological field experiments. Ecol. Monographs. 54: 187-211. Lacey, L.A. 1983. Larvicidal activity of Bacillus pathogens against W mosquitoes (Diptera: Culicidae). J. Med. Entomol. 20: ’ 620-624. Lacey, L.A. & M.S. Mulla. 1990. Safety of Bacillus thufingicnsis var. ismclcnsis and Bacillus sphacricus to non-target organisms in the aquatic environment, In: M. Laird, L.A. Lacey, and E.W. Davidson (eds.), Safety of Microbial Insecticides. C. R. C. Press, Boca Raton, FL. Lacey, L.A., & A.H. Undeen. 1987. The biological control potential of pathogens and parasites of black flies, In: K.C. Kim and R.W. Merritt, (eds.), Black Flies: Ecology, Population Management, and Annotated World List. Penn. State Univ. Press, University Park, PA. Lacey, L.A., H. Escaffre, B. Philippon, A. Seketeli, & P. Guillet. 1982. Large river treatment with Bacillus thuringicusis var. iszaclcnsis (H-14) for the control of Simulium damnasum s.I. in the Onchoceriasis Control Programme. Z. Tropenmed. Parasitol. 33: 97-101. Merritt, R.W., & K.W. Cummins (eds.). 1984. An Introduction to the Aquatic Insects of North America (2nd ed.), Kendall/Hunt Publishing Co., Dubuque, IA. 710 pp. Merritt, R.W., E.D. Walker, M.A. Wilzbach, KW. Cummins, & W.T. Morgan. 1989. A broad evaluation of B.T.I. for black fly (Diptera:Simuliidae) control in a Michigan river: efficacy, Carry and nontarget effects on invertebrates and fish. J. Amer. Mosq. Cont. Assoc. 5: 397-415. Miura, T., R.M. Takahashi, & F.S. Mulligan. 1980. Effects of the bacterial mosquito larvicide. Bacillus thunnsiansis var. israclcnsis serotype H-14 on selected aquatic organisms. Mosq. News 40: 619-622. Molloy, D. (ed.). 1982. Biological control of black flies (Diptera: Simuliidae) with Bacillus thuringicnsis var. ismelfinsifi (Serotype 14): a review with recommendations for laboratory and field protocol. Misc. Publ. Entomol. Soc. Amer. 12: 1-30. Molloy, D., & H. J amnback. 1981. Field evaluation of Bacillus thuzingicnsis var. israclcnsis as a black fly biocontrol agent and its effect on nontarget stream insects. J. Econ. Entomol. 74: 314-318. Peckarsky, B.L. & M.A. Penton. 1989. Mechanisms of prey selection by 91 stream-dwelling stoneflies. Ecology. 70: 1203- 1218. Pistrang, L.A. & J .F. Burger. 1984. Effect of Bacillus thuringicusis var. israclcnsis on a genetically-defined population of black flies (Diptera: Simuliidae) and associated insects in a montane New Hampshire stream. Can. Entomol. 116: 975-981. Rutschke, J ., & J. Grunewald. 1984. The control of black flies (Diptera: Simuliidae) as cattle pests with Bacillus thun'ngicnsis H-14. Zentralbl. Bakteriol. Parasitenkd. Infektionskr. Hyg. Abt. 1 Ref. 258: 413- . Sebastien, R.J., & R.A. Brust. 1981. An evaluation of two formulations of mm thudngicnsis var. isaaclmsis for larval mosquito control in sod- lined simulated pools. Mosquito News. 41: 508-512. Steel, R.G.D., & J .H. Torrie. (eds.). 1980. Principles and procedures of statistics. Second edition. McGraw-Hill Book Co. New York, NY, U.S.A. 633 pp. WHO. 1979.. Data sheet on the biological control agent Bacillus thuringicnsis serotype H—14(de Barjac 1978). WHO/VBC/79.750. Rev. 1. VBC/BCDS/7 9.01. World Health Organization. Wipfli, M.S. 1992. Direct and indirect effects of Bacillus mun'ugicnsis var. 92 ismclcnsis on non-target aquatic insects and trout. Ph.D. dissertation. Michigan State University, East Lansing, MI, U.S.A. CHAPTER 3 DIRECT AND INDIRECT EFFECTS OF THE MICROBIAL INSECTICIDE BAQILLIIS W VAR. ISBAELENSIS 0N BROOK. SALYELINIIS EQNIIHALIS; BROWN, SALMQ mm; AND STEELHEAD. W8 MXKISS TROUT. ABSTRACT Direct toxicity and indirect (food-chain) efl'ects of Bacillus thuflngicnsis var. ismclgmsis (B.t.i.) (Teknar® HP-D) on trout were studied in the laboratory. Direct exposure to three size classes; egg, 1.5 - 2.4 cm long, and 7.2 - 8.2 cm long fish of brook, Salmlinus fautinalis; brown, Balms mum; and steelhead, anhcnmchus mykiss, at B.t.i. concentrations up to 10,000 ppm was studied with both viable and non-viable (autoclaved) B.t.i.. There was no mortality below 1000 ppm B.t.i. for all three trout species of all size classes tested with viable and autoclaved B._t,i.. There was no difference in toxicity between viable and non-viable B.t.i. for all three trout species at all concentrations, except two trials where the autoclaved material was significantly more toxic than the viable B.t.i.. L050 values for brown and brook trout alevins were between 1561 and 2321 ppm for both viable and nonviable B.t.i.. Scanning electron micrographs showed particle and mucous accumulation on fish gill surfaces, with about 50% fish that were 94 exposed to B.t.i, having these accumulations. Blood-gas analyses revealed low oxygen levels in blood taken from fish exposed to 4000 ppm BLi, for 4 hr. Food-chain toxicity experiments were conducted with brown trout (mean length 4.3 cm) (fed excess ELL-contaminated or live black fly larvae daily for 5 d) to assess mortality and growth over 30 d. Trout ate an equal amount (about 40 black flies / trout / d) of each larval type (B.t.i.-killed or live). Trout fed B.t.i.-contaminated black flies experienced no significant mortality or changes in growth rates relative to trout given live (uncontaminated) black flies. This study indicated that the B.t.i, toxin was not responsible for trout mortality, instead, reduced survival was attributable to formulation component(s). Trout were not affected when indirectly exposed to B.t.i. via consuming contaminated prey. 95 INTRODUCTION ' Bacillus thudngicnsis var. iszaclcnsis (de Barjac) (serotype H-14) (B.t.i.) is toxic to black fly and mosquito larvae and is currently used in control programs in North America and other parts of the World (WHO 1979, Dejoux and Elouard 1990). B.t.i. contains a proteinaceous protoxin (Dubois and Lewis 1981, Aronson et al. 1986) which is solubilized by enzymes in the larval midgut, activating the toxin. The toxin binds to and lyses the midgut epithelial cells, destroying the midgut cells and killing the infected larvae. Recent published studies report minimal impact of B.t.L on nontarget invertebrates (Car and deMoor 1984, Pistrang and Burger 1984, Gibbs et al. 1986, Merritt et al. 1989, Lacey and Mulla 1990, Wipfli and Merritt 1992). Few studies have investigated toxicity of B.t.i. to fish, including both direct and indirect (food-chain) toxicity, even though black fly larvae are an important diet component for trout (Elliott 1973, Williams 1981, Gibbs et al. 1986), salmon (Williams 1981), whitefish (Hocking and Pickering 1954), bass (Hess 1983), creek chubs (Keast 1966), and numerous other species (Davies 1981, Hess 1983). Brook trout, Salycliuus faminalis, were susceptible to high doses of B.t.i., but mortality was attributable to xylene in the formulation (Fortin et al. 1986). Mortality in the fathead minnow, Eimculmlcs nmmclas Rafinesque, was attributed to dissolved oxygen depletion due to formulation ingredients rather than to direct toxicity fiom the B.t.i. toxin (Snarski 1990). Merritt et al. (1989) reported no significant change in fish numbers follow term 1 site, I: ofS.f concex classe: or for: sublet. Contan black fl egg to ex1308111 “IElI' m betwe e 17‘ % following B.t.i. application in a Michigan river, although these were short term experiments and most species were in low abundance at their study site, making it unfeasible to detect fish population changes. Feeding habits of S. fantinalis and the slimy sculpin, Bonus ccgnatus, were not afi'ected by B.t.i. (Gibbs et al. 1986). The objectives of this study were to determine 1) the lethal concentrations of B.t.i. to brook, brown, and smelhead trout with fish size i classes from eg to 8.2 cm length, 2) if trout mortality was due to B.t.i. toxin or formulation components, and 3) if trout experience lethal (mortality) or sublethal (growth) effects after indirect B.t.i. exposure by consuming B.t.i; contaminated black fly larvae. MATERIALS AND METHODS This study had two primary components: direct toxicity tests at varying B_.1,,i,(Teknar® HP-D) concentrations and exposure periods, and indirect (food chain) toxicity tests by feeding fingerling trout B.t.i.-contaminated black fly larvae. In the first component, brook, S. fontimlis; brown, Balms mum; and steelhead, anhcnmmus mykiss trout, ranging in size from eg to 8.2 cm- length, were exposed to B.t.i. over a wide range of concentrations (0 to 10,000 ppm; B.t.L volume to water volume ratio) and exposure periods (15 min to 48 hr). The second component involved feeding brown trout fry ELL-contaminated or live black fly larvae for 5 d to compare their mortality and growth over 30 d. All experiments were conducted between 26 October 1990 and 7 June 1991 in the Zoology Dept. aquatics 97' laboratory at Michigan State University. Trout were transported from state fish hatcheries at Wolf Lake and Marquette, M1, for all but one study, where brown trout were electrofished from Hunt Creek, MI, U.S.A. I T. . .I I I GanemLemfimentaancedm B.t.i. treatments. and trout species along with their associated size classes for toxicity trials, are given in Table 1. To measure mortality from differing concentration, a wide B.t.i. concentration range at logarithmic intervals was initially tested at 48 hr exposure to approximate 0 and 100% mortality limits. Then, concentrations were narrowed over progressively smaller increments and ranges, to compare viable and nonviable B.t.i, and to determine L050 values. Trout were exposed to viable (nonautoclaved) and nonviable (autoclaved) B.t.i. to determine if B.t.i, toxin or B.t.i, formulation was responsible for trout mortality. Autoclaving denatures B.t.i. protein toxin and kills spores, resulting in loss of toxicity (D. Grant, pers. comm.) without affecting formulation stability (M. Zabik, pers. comm.). In order to verify that autoclaved B.t.i. was non-toxic, I ran bioassays with mosquito (Acclcs triscziatus) larvae using autoclaved and nonautoclaved B.t.i. at 0, 1, 10, 100, and 1000 ppm. Mosquito mortality was 100% for larvae exposed to nonautoclaved B.t.i. and negligible (< 1%) for autoclaved B.t.i, at all dosages, showing that autoclaving B.t.i. for 45 min eliminated its viability. Fish were maintained in a 600 L tank for a minimum of two days in dechlorinated, carbon filtered tap water (7 - 8 °C), prior to individual toxicity Asa mfi how UQNVQHOSSNV _.— H m wflfiwfiwdofl H z .A@m>w~00ufiw ...on .mafifl mafia? 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Experimental units were 475 ml plastic drinking cups containing 20 eggs or 10 fish (1.5 - 2.3 cm length), or 4 L plastic tubs containing 5 fish (7 .2 - 8.2 cm length). At the onset of each toxicity trial, experimental units were filled with tank water to 75% of their capacity, and suspended in the tank water using styrofoam rafts. This tank bath maintained a uniform and relatively constant water temperature (7.5 :l: 0.5 °C) across experimental containers during trials. All chambers were aerated with bubblers. Water temperature, pH, and dissolved oxygen (D.O.) were measured in experimental containers at the start and finish of each trial. Water was changed in all containers immediately following B.t.i, exposure, and at 3 d intervals, thereafter. WM B.t.i. was added to experimental units at the onset of each experiment. All 3.1.1, treatments (e.g., concentrations, exposure duration, viability) were replicated five times in a complete randomized design unless otherwise stated (Table 1). Controls consisted of trout with no B.t.i.. Trout were randomly chosen and added to experimental units. Following exposure to B.t.i., brown trout eggs were held in their respective containers until they hatched or died (up to 26 (1). Dead eggs, identified by an opaque appearance and loss of eye spots, were removed daily. For remaining trials, fish were held an additional 5 (1, except for one steelhead trial where fish were held 4 d. During and after each trial, fish were evaluated as live, immobilized, or dead. Live fish maintained a 100 normal upright position in the water and showed no sign of stress. Immobilized fish were unable to maintain an upright position and rested lateral or ventral side up, but still showed respiratory, convulsive, or irritability movements (Sprague 1973). Dead fish lacked the above described behavior and were removed daily. WW AN OVAs were performed on all mortality data, which were transformed via logarithmlo [x + 1] to normalize data, and reduce variance heterogeneity, when necessary. Means were compared using Tukey's test at p = 0.05 (Steel and Torrie 1980). LC5os were determined for appropriate toxicity tests (tests that contained B.t.i. concentrations that resulted in no 0 and 100% fish mortality) using logarithmlo-probit transformations (Finney 1971) for B.t.i. concentrations and percent trout mortality, respectively. Abbott's formula (Abbott 1925) was used to correct mortality data against mortality in controls when necessary. WW Scanning electron micrographs (SEM) were taken of brown trout gills from fish that were held in water containing B.t.i. and water with no ELL to detect morphological changes, or presence of particulates or mucous. Trout were exposed to 0 (control) and 2000 ppm B.t.i. for 4 hr under the same experimental conditions and procedures described for toxicity trials. The experimental unit was one trout per 4 L tub and both treatments were replicated five times within two blocks. Immediately after the 4 hr exposure period, trout were removed from the water, gills dissected from the fish, and placed in fixative for SEM. Following the fixation process, gills from each fish were scanned at 20X, 200] was fore (mad tnxk (mnu fivet expo: abou1 mxsl unfld &nnpl 8Dace blood “ween 101 200x, 2000K, and 20,000X magnification and a representative micrograph was taken for each gill sample (= one fish) from the same approximate area for each gill at each SEM magnification. W5. Blood from brown trout exposed and not exposed to ELL was analyzed for blood 02 and 002 levels. Experimental conditions and procedures for these trials were the same as the previous toxicity studies except the experimental unit was an 18.9 L plastic bucket containing two 17.8 - 20.3 cm long trout. Both treatments were replicated five times. Trout were exposed to B.t.i. for 4 hr and control trout not exposed. Blood was then drawn from the caudal artery and vein area, about 3 cm anterior from the base of the tail, using a 5 ml B-D® syringe and 30G1/2 needle. Due to the small size of the trout, arterial or venous blood could not taken without mixing the two blood types, so all analysed blood samples were an arterial-venous blood mixture. Syringe and needle dead space was filled with Neprin" salt solution to reduce coagulation. Alter blood was drawn from each fish, syringes were placed on ice and taken to the laboratory for blood-gas analysis. Blood-gas concentration measurements were averaged across both fish per experimental unit for each replicate. AN OVA was used to analyse %02 saturation and %002 concentration in the blood. II E l l . | . 'I This experiment involved feeding brown trout fingerlings (mean length 4.3 cm) live or ELL-killed black fly larvae, Qnenhia 513991311513 (Diptera: 102 Simuliidae), for five continuous days to study survival and growth over 30 d. Three treatments were 1) trout fed excess black fly larvae [that had been treated with 30 ppm B.t.i. for 24 hr] for 5 d, 2) same as (1), with trout also exposed to 30 ppm B.t.i. for 24 hr, and 3) control [trout fed excess live black fly larvae over 5 d with trout and black flies exposed to no B.t.i.]. Treatments were replicated four times in a completely randomized design. Experimental conditions were the same as for previously described experiments using the 4 L plastic tub containing 10 trout each (mean length = 4.3 cm). At the start of the experiment, trout were fed black flies (live or B.t.i.-killed depending on treatment) until they approached satiation (ca. 400 larvae / 10 trout) where feeding became suppressed. This was repeated daily for 5 d. Trout were maintained for an additional 25 d and fed 0.3 g trout chow / day/ 10 fish. Water was replaced and fish mortality recorded every 2 to 4 d. A subsample of 40 fish was taken at the onset of the experiment to estimate initial trout length and at the end of the experiment to determine 30 d growth. Growth was determined by subtracting the initial length estimate from the final length for each fish, and averaging measurements across the fish in each 4 L tub for each replicate and treatment. Total mortality for each replicate was also recorded. AN OVA and Tukey's Studentized range tests were used to determine treatment differences for trout growth and mortality. 103 RESULTS I I . ’I | | Water temperature ranged 7 - 8 °C, D.0. between 82 - 100% saturation, and pH ranged 8.4 - 8.9 in all experimental units for the duration of all trials. Tank water used to fill experimental units contained 0.68 mmho soluble salts and 233 ppm alkalinity. Trout generally became immobilized within 48 hr exposure, at B.t.i. concentrations 2 1000 ppm. When immobilized (but still living) fish were placed back into clean water, they recovered and survived the remainder of the trial. All three trout species were not sensitive to B.t.i. below 1000 ppm, and species showed similar mortality rates at increased B.t.i. concentrations. Significant brown trout egg mortality occurred at 10,000 ppm B.t.i. with 27% successful hatcheling emergence (Figure 1). All other concentrations of B.t.i. resulted in insignificant mortality. Significant fish mortality, 51% at 1000 ppm and 100% at 10,000 ppm B.t.i., was seen for 1.5 cm long brown trout (Figure 2, Trial 2). There were no significant mortality differences in brown trout exposed to viable and nonviable B.t.i. (Figure 2, Trials 3, 4, 5) at all concentrations, with the exception of Trial 5 at 1800 ppm B.t.i. The nonviable B.t.i. killed more trout than viable B.t.i. at this concentration. Brown trout mortality was directly related to B.t.i. exposure duration. Data from Trial 6 were variable but exhibited a trend towards more mortality at longer exposure periods (Figure 3). This experiment was TRIAL 1; BROWN TROUT EGGS a a 100- a 80' 60" 40' MEAN % EGG EMERGENCE 0 10 100 1000 10000 B.T.l. CONCENTRATION (PPM) Figure 1. Percent brown trout egg emergence over 26 (1 following 48 hr exposure to varying ELL concentrations. Bars headed by different letters represent significant difference between means (p<0.05). Error bars represent S.E. Figure 2. Percent brown trout mortality over 7 (1 following 48 hr exposure to varying B_._t_,i, concentrations (Trials 2-5), comparing viable and nonviable B.t.i. (Trials 3-5). Bars headed by different letters represent significant difference between means (p<0.05) (Trial 2). Bar pairs headed by * signifies statistical difference between means (p<0.05), ns = not significant, nc = not calculated (Trials 3-5). Error bars represent S.E. MEAN % TROUT MORTALITY 105 TRIAL 2; 1.5 CM BROWN TROUT c 100 80 60 40 20 0 10 100 1000 10000 TRIAL 3; 2.1 CM BROWN TROUT no 100 - 80. I man. '. nut-maxi. 60- 4o- 20- 0 100 1000 10000 TRIAL 4; 2.1 CM BROWN TR'O‘CUT ‘t‘i‘If'MM-Fffififln .93 . maria-.5 \\\\\\\\\\\\\\\\\\\\\\\\\\\\\ . x»! 5715‘ 1;. .-.-.~. .-.-.~.- ,. ..-.- 0 1000 1200 1400 1600 1800 2000 B.T.I. CONCENTRATION (PPM) 106 TRIAL 6; 2.2 CM BROWN TROUT 60- 100 - . b so - so - >_ 40 - E 20 ‘ < _ l— . m o _ " o E o 12 24 36 4s '5 TRIAL 7; 2.3 CM BROWN TROUT o\° 30 _ z < I.” E 40- 20— ,1 0 12 24 36 48 B.T.l. EXPOSURE PERIOD (HRS) Figure 3. Percent brown trout mortality over 7 d at 0, 12, 36, and 48 hr exposure to 2000 ppm 3.1.1, Bars headed by difi'erent letters represent significant difference between means (p<0.05). Error bars represent S.E. 107 repeated (Trial 7). Brown trout exposed to B.t.i. for 36 and 48 hr suffered significantly greater mortality than fish exposed for S 24 hr (Figure 3, Trial 7). There was no mortality with 7.2 cm long brown and 8.2 cm long steelhead trout in Trials 8 & 9 at all concentrations (0 - 150 ppm) and exposure periods (2 - 24 hr), therefore, the data were not presented. Significant mortality was recorded for 2.4 cm long steelhead trout exposed to 10,000 ppm B.t.i. for 24 hr, but not at 5000 ppm or less (Figure 4, Trial 10). Similar trends for brook trout were also apparent with significant mortality seen at 1500 ppm (Figure 5, Trial 11). There was significantly more mortality with fish exposed to nonviable versus viable B.t.i. at 1800 and 2000 ppm (Figure 5, Trial 12). Another trial was run at 2000 ppm B.t.i. with 10 replicates per treatment that indicated no differences in brook trout mortality between viable and nonviable B.t.i. at 2000 ppm (Figure 5, Trial 13). LC50 values for brook and brown trout alevins exposed to B.t.i. over 48 hr ranged between 1561 - 2321 ppm (Table 2). LC50 values could not be calculated for steelhead trout owing to limited fish availability. Wylie. SEM showed particulates and mucous on the gills of some (about 50%) but not all trout exposed to B.t.i. (Figure 6). The occurrence of particulates was variable among B.t.i. treated trout, with some gills showing no (Figure 6A), and others showing some (Figure 6B) particulate matter accumulation. Some gills from treated trout had a mucous layer covering their surface (Figure 60), while others did not. 108 TRIAL 10; 2.4 CM STEELHEAD nc 100 " E . 3’ - I viable B.t.i. .. 80 .. . . g . '14" nonovuable B.t.l. 5 60 . h I 3 a: 40 . F 1 a? ‘2: 20 " u: no no 2 0 —, — . '_1 — . 0 1 000 5000 1 0000 B.T.I. CONCENTRATION (PPM) Figure 4. Percent steelhead trout mortality over 5 d following 24 hr exposure to varying B.t.i. concentrations. Bar pairs headed by * signifies statistical difference between means (p<0.05), ns = not significant, nc = not calculated. Error bars represent S.E. Figure 5. Percent brook trout mortality over 7 d following 48 hr exposure to varying B.t.i. concentrations (Trials 11-13), comparing viable and nonviable B.t.i. (Trials 12-13). Bars headed by different letters represent significant difference between means (p<0.05), nc = not calculated (Trials 11&13). Bar pairs headed by * signifies statistical difference between means (p<0.05), ns = not significant, nc = not calculated (Trial 12). Error bars represent S.E. MEAN % TROUT MORTALITY 109 TRIAL 1 1; 1.6 CM BROOK TROUT 100- 801 b 60- 4o- 20- a 0- — . T. _ 0 100 500 1000 1500 B.T.I. CONCENTRATION (PPM) TRIAL 12; 1.8 CM BROOK TROUT 100 - 1 80- . viable B.t.i. non-viable B.t.i. . 60- 4o- O 1400 1600 1800 2000 B.T.I. CONCEN'I’RA‘I'ION (PPM) TRIAL 13; 2.0 CM BROOK TROUT 100 - 80~ d 60- J 40- 20- 1 a 0 control viable nonviable B.T.I. VIABIUTY 110 Table 2. LC50 values for 2.2 cm long brown and 1.8 cm long brook trout exposed to B.t.i. for 48 hr. LC501 trial trout # species viable B.t.i. nonviable B.t.i. 5 brown 1691 1561 12 brook 2321 1792 1 Expressed as parts per million, B.t.i. volume to water volume ratio. 111A Figure 6. Scanning electron micrographs of gills dissected from steelhead trout exposed to 2000 ppm B.t.i. for 4 hr. A. Exposed gills with no particulate and mucous accumulation (2000X). B. Exposed gills showing particulates (2000X). C. Exposed gills showing mucous layer (2000X). D. Exposed gills showing no particulates or mucous (2000X). 112 Gills taken from 'control' trout had no particulates or mucous (Figure 6D) for all trout tested. W Blood gas (02, 002) levels in B.t.i. exposed and unexposed trout was highly variable. Percent 02 saturation ranged from 19.0 - 89.0% in 'control' trout, and 2.2 - 31.6% in trout exposed to 4000 ppm B.t.i. for 4 hr (Figure 7A). Percent 02 saturation was less in blood taken from B.t.i. exposed trout (0.05 < p < 0.10, F = 5.83) versus unexposed trout. Carbon dioxide levels were less variable (14.8 - 27.0 mm Hg for control trout, and 15.6 - 38.0 mm Hg with B.t.i.-treated trout). Partial pressure 002 (mm Hg) was not significantly different between the two treatments (Figure 7B) (p > 0.10, F = 0.80). 11 E I l . I . .I The ten trout in all replicates of each treatment consumed 350 - 400 live or B.t.i.-killed black fly larvae daily for five continuous days. There was no brown trout mortality in all three treatments. Trout growth ranged 2.2 - 4.1 mm over 30 d, with no significant differences in growth (p > 0.10, F = 1.49) among the treatments (Figure 8). DISCUSSION I I . .I | | The lack of fish mortality below 1000 ppm B.t.i. in all toxicity trials indicated that this toxin is safe to hatchery trout when they are exposed to 113 5 100 "' - A. E . a 80 - < 4 a) z m ‘5 O 32 Z < m E B.t.i. treated trout untreated trout 100 - B I? 80 - E ‘ 3; so ~ N . 0 U z < m E B.t.i. treated trout untreated trout TREATMENT Figure 7. Percent 02 saturation (A), and 002 partial pressure (B), of blood taken from steelhead trout exposured to 4000 ppm B.t.i. for 4 hr. (A. 0.050.10). Error bars represent S.E. 114 1°: BROWN TROUT FINGERLINGS so 0 GROWTH (MM) B.t.i. larvae B-t-i- larvae control +B.t.i. water Figure 8. Thirty day steelhead trout growth (increase in body length) in three treatments, 1) trout fed excess black fly larvae for 5 d that were treated with 30 ppm B.t.i. for 24 hr, 2) same but trout also exposed to 30 ppm B.t.i. for 24 hr, 3) control treatment where trout were fed excess live black fly larvae over 5 d and water contained no B.t.i. Bars headed by the same letters represent no significant difference between means (p>0.10). Error bars represent S.E. 115 recommended (15-22 ppm for 1 min) concentrations of B.t.i.. Exposure to B.t.i. at 1000 ppm or less for 48 hr (= 196 X recommended exposure period) did not induce mortality for all but one trial (Trial 2). Trial 2 included the smallest (non-egg) size class (mean 1.5 cm length) of all fish tested. Smaller fish may be more sensitive to B.t.i. than larger fish, although I did not conduct side by side size-class-tests. Toxicity levels were similar for eggs and fish. Autoclaving B.t.i. did not reduce its toxicity, indicating that the B.t.i. toxin was not responsible for mortality, demonstrating that formulation component(s) were responsible for fish mortality. This result was consistent across all trials for all three species. In fact, at 1800 ppm in Trial 5, and 1800 and 2000 ppm in Trial 12, the autoclaved (nonviable) B.t.i. was significantly more toxic than viable B.t.i.. Fortin et a1. (1986) attributed the formulation ingredient xylene in Teknar‘” HP-D to brook trout mortality in their studies. Xylene was not in the B.t.i. formulation I used (D. Ross, Zoecon Corp., pers. comm.). Due to proprietary reasons, I cannot report the formulation ingredients in Teknar® . L050 values for brown and brook trout also showed that B.t.i. was 'safe' when these fish species were exposed to B.t.i. at recommended dosages and exposure times. These L050 values were calculated from tests where fish were exposed to B.t.i. over a time period 196X greater (48 hr versus 0.25 hr) than that recommended for field application. ScanninLelectmericmaranhs. SEM was performed on fish gills to get a better understanding of factors responsible for fish mortality. Fish often 116 became immobilized and appeared stressed at B.t.i. concentrations 2 1000 ppm. Particulates in the B.t.i. formulation, if adhering to the fish gill surface, would be seen with SEM. The presence of particulates and mucous on gills from some of the B.t.i.-treamd fish suggested that there may be some interference with gas exchange at the gill surface. However, results were variable. The gill fixation process for SEM preparation may wash or dissolve material adhering to the gill surface, and may have been, in part, responsible for this variability among treawd trout. None of the gills from the control trout had particulates or mucous attached. Wags. Depleted oxygen levels in the blood of trout exposed to B.t.i. agreed with our SEM findings. Apparently, fish gills lost their capacity for oxygen uptake. The presence of particulates and mucous on some of the 'treated' trout may be interfering with 02 uptake, but did not affect 002 levels in the blood. The absence particulates on other 'treawd' trout suggest that soluble components in the B.t.i. formulation may have been responsible for suppressed blood 02 levels and eventual fish death at high dosages. II E I l . I . .I Black fly larvae filter, collect and ingest suspended particulates (Wallace and Merritt 1980), including B.t.i., from the water column. Due to their non-filtering mode of feeding, fish (and other predators) probably ingest minimal amounts of B.t.i. directly. They may however, indirectly ingest B.t.i. through consuming B.t.i.-contaminated black fly larvae. Large masses of black fly larvae drift downstream immediately following B.t.i. 117 applications (Merritt et al. 1989). Fish, and other consumers, could potentially satiate on B.t.i.-contaminated black fly larvae and indirectly ingest high amounts of B.t.i.. These results indicated that trout mortality did not increase after the trout were starved, then satiated with B.t.i.-contaminated black fly larvae for five continuous days. Snarski (1990) showed that fathead minnows were not affected by ingesting B.t.i., and that B.t.i. spore counts in the fish and in their gastrointestinal tract quickly dropped following B.t.i. exposure. Trout growth was also not affected in our experiments when trout consumed B.t.i.-contaminated prey. I conclude from these experiments that direct and indirect exposure to B.t.i. did not affect brook, brown and steelhead trout when it was applied at recommended and higher than recommended rates. Fish mortality occurred at a concentration about 100 X greater and an exposure period about 200 X longer than recommended for larval black fly control. L050 values for B.t.i. with brown and brook trout were > 100 X above recommended application rates for exposure periods that were 196 X greater than recommended (e.g., margin of safety = 100 x 196 = 19,600). Formulation ingredients, and not B.t.i. toxin, was responsible for fish mortality. J ' 118 ACKNOWLEDGMENTS I express sincere thanks to J. Giesy, J. Kocik and B. Crawford for their technical help and suggestions; MSU Center of Electron Optics for SEM work; MSU veterinary clinical pathology staff for assistance with blood-gas analyses; Michigan DNR for supplying trout; D. Ross, Zoecon Corp. for supplying Teknarm HP-D and helpful comments; W. Cooper, D. Hall, and J. Stout for helpful comments and use of the aquatics laboratory; E. Walker for supplying bioassay mosquito larvae; and S. Usiak and L. Aronofi‘ for technical help. This research was supported by Sport Fishing Institute Fund grant SFRP-90-26 awarded to RWM and MSW, and National Institutes of Health grant A1-21884. 119 REFERENCES Abbott, W.S. 1925. A method of computing the efl‘ectiveness of an insecticide. J. Econ. Entomol. 18: 265-267. Aronson, A.I., W. Beckman, & P. Dunn. 1986. W W and related pathogens. Microbiol. Rev. 50: 1-24. Car, M., & F.C. De Moor. 1984. The response ofVaal River drift and benthos to Simulium (Diptera: Nematocera) control using Bacillus W var. ifimflfinsifi (H-14). Onderstepoort J. Vet. Res. 51: 155-160. Davies, D.M. 1981. Predators upon black flies, pp. 139-158, In M. Laird [ed.]. Black flies: the future of biological methods in integrated control. Academic Press, Inc., London, 1981. Dejoux, C., & J .M. Elouard. 1990. Potential impact of microbial insecticides on the freshwater environment, with special reference to the WHO/UNDP/World Bank Onchocerciasis control programs, pp. 65-83, In M. Laird, L. A. Lacey and E. W. Davidson, [eds.]. Safety of microbial insecticides. CRC Press, Inc., Boca Raton, FL. 259 pp. Dubois, N.R., & F.B. Lewis. 1981. What is mm W? J. 120 Arboriculture. 7: 233-240. Elliott, J .M. 1973. The food of brown and rainbow trout (Salmq mm and S. gamed) in relation to the abundance of drifting invertebrates in a mountain stream. Oecologia. 12: 329-347. Finney, DJ. 1971. Probit analysis. 3rd ed. Cambridge University Press, London. 333 pp. Fortin, C., D. Lapointe, & G. Charpentier. 1986. Susceptibility of brook trout (Salxelinns fontinalis) fry to a liquid formulation of Bacillus thudngiensis serovar. amalgam (Teknar®) used for black fly control. Can. J. Fish. Aquat. Sci. 43: 1667-1670. Gibbs, KE., F.C. Brautigam, C.S. Stubbs, & L.M. Zibilske. 1986. Experimental applications of B.t.i. for larval black fly control: persistence and downstream carry, efficacy, impact on non-target invertebrates and fish feeding. Maine Life Sci. Agric. Exp. Stn. Tech. Bull. 123:1-25. Hess, L. 1983. Preliminary analysis of the food habits of some New River fishes with emphasis on black fly utilization. Proc. New River Symp. VPI&SU, Roanoke, VA. pp. 15-21. Hocking, B., & L.R. Pickering. 1954. Observations on the bionomics 121 of some northern species of Simuliidae (Diptera). Can. J. Zool. 32: 99-113. Keast, A. 1966. Trophic relationships in the fish fauna of a small stream. Great Lakes Res. Div., Univ. Michigan Pub. 15: 51-79. Lacey, L.A., & M.S. Mulla. 199d. Safety oansillns mum var. ismslsnsis and Bacillus snhsszisns to non-target organisms in the aquatic environment, pp. 169-188, In M. Laird, L. A. Lacey and E. W. Davidson, [eds.]. Safety of microbial insecticides. CRC Press, Inc., Boca Raton, FL. 259 pp. Merritt, R.W., E.D. Walker, M.A. Wilzbach, KW. Cummins, & W.T. Morgan. 1989. A broad evaluation of B.t.i. for black fly (Diptera: Simuliidae) control in a Michigan river: efficacy, carry and nontarget effects on invertebrates and fish. J. Amer. Mosq. Control Assoc. 5: 397-415. Pistrang, L.A., 8:. J .F. Burger. 1984. Effect of Bsgjllns thmjngisnsis var. ismslsnsis on a genetically defined population of black flies (Diptera: Simuliidae) and associated insects in a montane New Hampshire stream. Can. Entomol. 116: 975-981. Snarski, V.M. 1990. Interactions between Basillns thnzingisnsis var. 122 ismelcnsis and fathead minnows. Eimaahalis mains Rafinesque, under laboratory conditions. Appl. Environ. Microbiol. 56: 2618-2622. Sprague, J .B. 1973. The ABCs of pollutant bioassay using fish, pp. 6-30, In Biological methods for the assessment of water quality. ASTM STP 528. American Society for Testing and Materials, Philadelphia, PA. Steel, R.G.D., & J .H. Torrie. 1980. Principles and procedures of statistics. 2nd ed. McGraw-Hill Book Co., New York, NY. 633 pp. Wallace, J .B., & R.W. Merritt. 1980. Filter feeding ecology of aquatic insects. Ann. Rev. Entomol. 25: 103-132. WHO. 1979. Data sheet on the biological control agent Basillns thmjngisnsis serotype H-14 (de Barjac, 1978), mimeographed document, WHO/VBC/7 9.750, Rev. 1, VBC/BCDS/7 9.01, World Health Organization. Williams, DD. 1981. The first diets of postemergent brook trout (331121111118. fontinalis) and Atlantic salmon (Salim solar) alevins in a Quebec river. Can. J. Fish. Aquat. Sci. 38: 765-771. Wipfli, M.S. 1992. Direct and indirect effects Of Bacillus thuringiensis var. 123 israelensis on non-target aquatic insects and trout. Ph.D. dissertation. Michigan State University, East Lansing, MI, U.S.A. CHAPTER 4 POPULATION LEVEL DISTURBAN CE FROM BAQILLIIS W VAR. ISRAELENSIS IN STREAMS: PREDATION RESPONSES OF MACROINVERTEBRATE PREDATORS ABSTRACT A field study was conducted to 1) assess the impact of the black fly (Diptera: Simuliidae) larvicide, Bacillus thnfingisnsis var. ismslsnsis de Barjac (B.t.i.), on the diets of selected predatory stoneflies, and 2) determine the importance of black fly larvae as prey for selected predatory Plecoptera and Odonata. Changes in feeding habits of Amends Mas and Eszagnstins msdis (Plec0ptera: Perlidae) were studied in response to locally reduced larval black fly populations in two Laurentian shield rivers by collecting predators from 0 to 10 (1 following B.t.i. application, and inspecting their foregut contents for macroinvertebrate prey. Black flies were the major diet component before B.t.i. was applied, but the number of black flies cOnsumed dropped significantly for both stonefly species following B.t.i. application. Total number of prey consumed decreased for A. lysmjss but not for E. msdin, and non-black fly prey consumption significantly increased for 12. media but not for A. ms, following B.t.i. application. 124 125 In prey choice trials conducted streamside in artificial channels, A. lymn’ss andL msdin showed no selectivity or preference for black fly over mayfly prey. Issnsfln signstn and I. dissls (Plecoptera: Perlodidae). however, consumed significantly more black flies than both Essfis flsflstrigs (Ephemeroptera: Baetidae) and Epssm gitrsn (Heptageniidae) prey. mm mm (Odonata: Aeshnidae) consumed more 8. Was than S. m prey, showing a switch to the more abundant prey taxon, at increasing prey densities. I concluded that B.t.i. indirectly and differentially afi‘ected predators by reducing black fly biomass. Perlodidae nymphs relied more heavily on black flies and should subsequently be most affected by B.t.i. applications, Perlidae were not selective towards black flies and should be moderately susceptible. Odonata selected other prey over black flies and are probably least susceptible to B.t.i.. Predator-prey interactions and prey community structure may be indirectly affected when predators such as E. msdis switch to consuming alternate prey, following B.t.i. application. 126 INTRODUCTION Disturbance in stream communities varies spatially and temporally, in magnitude, frequency, predictability, and in the time required for disturbance to occur (Sousa 1984). Although definitional discrepancies exist (Poff 1992), White and Pickett (1985) broadly defined disturbance as "any relatively discrete event in time that disrupts ecosystem, community, or population structure, and changes resources, substrate availability, or the physical environment". The responses to disturbance of various aquatic biota vary according to the nature of the disturbance (e.g., spate vs. organic pollution), and show differing levels of resilience, depending on the biological, chemical, and physical factors of the system involved (Resh et al. 1988). Anthropogenic perturbations, such as chemical pollution, generally invoke community level responses as opposed to population or trophic level responses, with repercussions lasting up to many years, depending on the nature of the disturbance (Wallace 1990). Bacillus thnringismsis var. ismelansis de Barjac (B.t.i.) is a highly efl'ective biological larvicide used against black flies (Dejoux et al. 1985, De Moor and Car 1986, Lacey and Undeen 1987, Lacey and Mulla 1990), with minimal direct (toxic) effects on non-target fauna (Molloy and J amnback 1981, Gibbs et al. 1986, Merritt et al. 1989, Lacey and Mulla 1990). The high efficacy and selectivity of this bacterial larvicide has prompted its increased world-wide use for suppressing black fly populations (Dejoux and Elouard 127 1990). Information is lacking on functional and ecological impact associated with applying B.t.i. and removing an entire population (e.g., black flies) from stream community food webs. Any intervention that disrupts aquatic community structure could directly or indirectly affect other trophic levels. If black flies comprise a large fraction of animal standing stock in a given system, the sudden loss of black fly biomass may have negative or positive effects on other populations, particularly on predators and competitors of black flies. The impact on predators may be minimal, however, if the predators are generalists and switch to alternate prey, assuming suficient alternate prey are available. Specialist predators would suffer greatest indirect consequences through prey resource loss. Competitors, on the other hand, may benefit through additional food or space resources when black flies are removed from the system. Indirect effects also may be felt by other taxa in the same trophic level with black flies, through shared predators. Both positive and negative indirect interactions among non-competing prey are theoretically possible (Abrams 1987 , Holt and Kotler 1987), and have been experimentally demonstrated (Schmitt 1987). Predators switching to alternate prey (following black fly biomass loss) may significantly impact these alternate prey populatiOns, leading to a restructuring of the prey community and potentially resulting in successional repercussions throughout the food web. Miller and Kerfoot (1987) discuss such indirect links in detail where species A affects species C indirectly by affecting species B. The objectives of this study were to 1) determine the relative importance 128 of black fly larvae as prey for selected macroinvertebrate predators below lake outlets in two Laurentian shield streams, 2) study the direct trophic impact of prey population level disturbance on these predators by removing black fly larvae fi'om these systems, using B.t.i., and 3) investigate prey preference of these and other macroinvertebrate predators relating to black fly and alternate prey abundances. MATERIALS AND METHODS Field experiments investigated in-stream changes in feeding habits of two lotic predators, Asmnsnn‘s lysmiss (Newman) and Esmgnstins msdis (Walker) (Plecoptera: Perlidae), following B.t.i. application to remove the black fly populations. Prey choice with A. lysmiss, 2. media, Issnsfln signstn (Banks), I. digsls Frison (Plecoptera: Perlodidae), and Bonds fincsa (Say) (Odonata: Aeshnidae) was also studied, in artificial streams. Prey included black flies, Emsimnlinm fnsgnm Syme and Davies and Simulium W(Say) (Diptera: Simuliidae), and mayflies, Bastis flsfistfign McDunnough (Ephemeroptera: Baetidae) and Ensgms mrss (Walker) (Heptageniidae). These insects are common macroinvertebrates in lotic systems (Merritt and Cummins 1984, Stewart and Stark 1988) and were abundant at the selected field sites. 51115113125. These experiments were conducted during April-May 1990 at Morgan Creek, Marquette Co., and during May-June 1991 at Medora and 129 Manganese Rivers, Keweenaw Co., Michigan, U.S.A. These locations were chosen because macroinvertebrate predators, black fly larvae and other prey were abundant during the study periods. I l . I l D. I 1 Three hypotheses on trophic level disturbance in these stream systems were tested: H1: reducing the prey population would reduce predation levels of predatory macroinvertebrates (e.g., stoneflies), H2: predators would switch to consuming alternate prey taxa in the absence of black flies, and H3: removing an abundant prey taxa (e.g., black flies) would indirectly affect other prey taxa (through the shared predator link). Stomach content analyses of nymphal predatory stoneflies collected from disturbed and control habitats were used to test these hypotheses. WWI. Changes in the feeding habits of the predator, A. lysmjss, was studied in response to black fly population disturbance from B.t.i.. A 700 m stretch Of Manganese River was sectioned into six overlapping (200 m long) blocks such that sequential blocks overlapped each previous block by about 50% (Figure 1), as one progressed upstream. Block 1 was farthest downstream, and block 6 farthest upstream, ending approximately 200 m below Lake Manganese outlet. This design allowed for treatment comparisons 'ABOVE and BELOW' and 'BEFORE and AFFER' disturbance, across six blocks. A B.t.i. (Teknar® HP-D) was applied (100 ppm @ 1 min) weekly to each successive block, starting with block 1 during week 1, and ending with block 6 during week 6. To estimate predator diets, 10 A 1yc_or_i_as nymphs were collected, using a D-frame kick net, from erosional zones in each 'plot' within 130 Lake Manganese <— 1U6JJ03 ABOVE/BELOW BEFORE/AFTER Block 6 V ‘ Block 6 ‘. ~> < Block 5 5 Block S v v 1 Block 4 Block 4 b , : BIOCK 3 BlOCk 3 r 1 Block 2 Block 2 Le» <1- < Block 1 Block I <- Figure 1. Diagramatic representation of experimental design used to measure diet changes of Amms MES following Basillns anngjsnsis var. mslsnsis disturbance, in Manganese River. AP- = B.t.i. application point. 131 each respective block, one hour before and one week following m application at a midpoint within that block. These nymphs were immediately placed in a vial containing 70% ETOH for each treatment per each block. Digestive tracts were removed from each predator, and their contents down to and including the foregut, were carefully teased out, macroinvertebrate prey items were identified to lowest possible taxon and counted, for each predator. These digestive tract contents will hereafter be referred to as 'foregut contents' in this and following experiments. MW A 50 m reach of river immediately below both Medora and Manganese Lake outlets was selected to investigate changes in feeding habits with two predators, A. hearing and 2, media, following larval black fly removal from their respective communities. First, to determine their natural diet, 10 A, homing and 10 2. media were collected from Medora R. and Manganese R., respectively (using a D- frame kick net), and immediately placed in 70% ETOH. Predator digestive tracts were examined for macroinvertebrate prey, as above. Following the above sampling scheme, one B.t.i. application (100 ppm 0 1 min) was made to both Medora and Manganese Rivers, and three stonefly collections took place at 5 day intervals beginning the day B.t.i. was applied (=Od). Ten predators were collected per river on each sampling day (0d, 5d, 10d), and gut contents identified as above. Thus, experimental controls were 0d, which were compared to 5d and 10d. Stones, with attached black flies, were collected from B.t.i.-treated stream reaches 1, 24, 48, and 72 hr 132 after application, and indicated that there was nearly 100% larval black fly mortality within 1 hr, and also showed that black fly larvae no longer remained intact and attached to substrates beyond 48 hr. A non-m-treated reach in Medora River served as an additional control. This design provided an additional comparison, 'm-treated habitat' (=BELOW) and 'untreated habitat' (=ABOVE). This was not feasible in Manganese River. Prey composition and densities were estimated on stone substrates (predator microhabitats) at each site one day prior to the experiment. Five stones ca. 15 cm mean diameter were selected at random within each study reach, removed from the stream (with a D-frame net placed immediately below the stones to collect macroinvertebrates drifting from the stones), and all macroinvertebrates were brushed from the stones and net into white enamel sorting trays. Macroinvertebrates detectable by the naked eye were collected and placed in 70% ETOH, and later sorted to the family level and counted, for each rock (n = 5) for both rivers. Stone surface area was estimated by completely covering each stone with a single layer of aluminum foil. The foil was then removed from each stone and placed flat on 20 cm x 28 cm (1 cm2 increment) grids, and the number of grids covered by the foil counted for each stone. Prey densities were then calculated per 100 cm2 stone surface area. B l | l . E . | The hypotheses tested in these experiments were: H1: macroinvertebrate predation is higher on black flies versus baetid and/or heptageniid mayflies, and H2: predator growth rates are greater on diets higher in 133 black fly composition. Two sets of prey choice trials were conducted with five predator species, in artifiicial channels (Wipfli 1992). The first set of choice trials involved offering 2, media and L signata equal ratios (10:10:10) of black flies mm mm baetid mayflies Baatia mm and heptageniid mayflies Enema yjtma, daily over nine days. These feeding trials were conducted in streamside at the Morgan Creek field site. Stream water was gravity-fed to channels each containing stream-collected cobble substrate, one predator, and 30 prey. Prey body lengths ranged 3-4 mm; size classes co-occurring naturally with predators at this site. Control channels contained no predator. Predator and control treatments were replicated 10 and 5 times, respectively, utilizing a complete randomized design. Controls were used to monitor and correct for 'non-predator' prey loss. Predation was measured by counting consumed prey every 24 hrs, and dead, injured, and consumed prey were replaced daily, until day nine. The second set of prey choice trials involved offering A, 1159135, L dicala, and B, mafia five ratios of black flies, S. W, to mayflies, B, flaxiatrjga. Sjmnmlm-Baetis prey ratios were 0:16, 4:12, 8:8, 12:4, and 16:0 at 16 total prey, and 0:20, 5:15, 10:10, 15:5, and 20:0, at 20 total prey. Consumed prey were counted and replaced daily over 6, 4, and 1 d for A, lymfiaa, L digala, and B. 1mm, respectively. Total prey number was maintained at 16 (for one day) and 20 (for five days) for A, lymn'aa, and at 16 for L dicala and H.. m. Concurrent controls included no predators to evaluate and correct for non-predator prey 'loss'. All treatments were 134 replicated four times, and predation was monitored and prey replaced as in the previous choice experiments. Aemnemia lyemjiae growth was measured, and the corresponding instantaneous growth rates (IGRs) were calculated for individual nymphs in each treatment (i.e., prey ratio) over 6 d to determine if predator growth differed on Simulium vs. Baetie diets. Waters (1977) equation, IGR = [In (Mr /M) / t], was used to measure instantaneous growth rates, where Mi = initial nymphal mass, Mr = final nymphal mass, and t = time (6 d). Towel blotted nymphal wet masses were measured with a Sartorius® 1207 MP2 balance to the nearest 0.001 mg. A complete randomized design was employed for experiments with L signata, L dicaladi. media, Bi yineea, and A, lyemziae. Treatments were randomly assigned to experimental units (e.g., individual artificial streams). SI I' |° ] l Treatments for the Manganese River trophic level disturbance experiment were longitudinally blocked upstream, facilitating a RCB design with six blocks (n = 6). Although this design provided true replication, treatments could not be randomly assigned (interdispersed) within blocks. Water current carries B.t.i. downstream from the point of its application, resulting in the upstream portion of each block serving as the untreated control. In the Medora-Manganese Rivers experiment on trophic level disturbance, the experimental unit was an individual predator (n = 10). One needs to be cautious when using individual predators as replicates 135 because of pseudoreplication (Hurlbert 1984), however, treatments could not be blocked across additional rivers because of legal restrictions. Predator foregut contents from disturbance experiments were analysed for three or four components (depending on experiment): number of black flies, number of chironomids, number of other prey, and number of total prey. AN OVA was used to test treatment effects on predation within each of these prey catagories. Predator foregut contents from the control habitats were compared to foregut contents of predators collected from disturbed habitats (n = 10, Medora-Manganese R. experiment; n = 6, Manganese R. experiment). Prey consumption data from prey choice trials with L media and L signata were compared between prey for each predator species using a chi- squared test. Daily prey consumption data were averaged over the nine days for each of the ten individual predators (for both species), and compared to expected consumption at 1:1:1 (null hypothesis). In addition, predation on total prey (three species combined) and individual species was compared between L dieaia and 2. media using two-way AN OVA (predator species at 2 levels x day at 9 levels) with predators as replicates (n = 10). In choice trials with A. lyeoijae, L dieala, and B. yingea, numbers of prey consumed as a function of prey density were plotted (for each prey type), data linearized (loglob' + 1]) if needed, to fit a linear model, and a linear least squares regression fitted to the means. Slopes from regressions were compared between prey types for each predator. Amnemja lyeen'ae growth data were analysed using ANCOVA (SAS 1985) across 5 treatments with initial nymphal body mass as the covariate 136 (n = 4). Data were checked for normality, variance homogeneity, additivity, and proper model fit, then transformed when appropriate. Statistical power was calculated for all experiments (Cohen 1988). RESULTS I l . I l D' | I WILL Predation levels by A, m nymphs n was significantly less in B.t.i. disturbed habitats (Figures 2 & 3). Predators consumed significantly fewer black flies in disturbed habitats when comparing both BEFORE and AFTER (Figure 2A), and ABOVE and BELOW (Figure 3A) the B_,Li, disturbance (p<0.01). Significantly fewer Chironomidae also were consumed by these predators comparing BEFORE and AFTER (p<0.05) (Figure 2B), but not ABOVE and BELOW (p>0.05) (Figure 3B) the disturbance. Other prey (non-black fly, non-chironomid prey) were not differentially preyed upon by A, lymziaa between the disturbed and non-disturbed habitats (Figures 2C & 3C) (p>0.05). Total prey taken by these predators was significantly different between the disturbed and non-disturbed habitats when the data were analysed BEFORE and AFTER (p<0.001) (figure 2D) and ABOVE and BELOW (p<0.05) (Figure 3D). W The macroinvertebrate diet of A, 1192235 and 12, media closely coincided with prey composition (Table 1) Figure 2. Macroinvertebrate content in the foreguts of Aerenegria lyeerias nymphs BEFORE and AFTER disturbance from B.t.i. in the Manganese River disturbance experiment (n = 6). [ns = not significant @ p = 0.05, * = p < 0.05, ** = p < 0.01, *** = p < 0.001] [Power (= 1 - beta); A. = 0.95, B. = 0.10, C. = 0.79, D. = 0.94]. NUMBER OF PREY ITEMS IN THE FOREGUTS OF 10 PREDATORS 137 40 d 30‘ q 20. 10- 1 Oar—v—Q—v—O—I—Q—I—Qq—Q—I—O—F‘ 40 A. BLACK FLIES —9— BEFORE —O— AFTER Mu 30- 20.. q 10~ B. CHIRONOMIDAE —9— BEFORE —.— AFTER 40 30- 20- 10a C. OTHER PREY —e— BEFORE —O— AFTER 40 30- 20.. 10- D. COMBINED PREY —e— BEFORE —O— AFTER Figure 3. Macroinvertebrate content in the foreguts of Amneefia lyeqrias nymphs ABOVE and BELOW disturbance fiom ELL in the Manganese River disturbance experiment (11 = 6). [ns = not significant @ p = 0.05, * = p < 0.05, ** = p < 0.01, *** = p < 0.001] [Power (= 1 - beta); A. = 0.52, B. = 0.08, C. = 0.42, D. = 0.80]. NUMBER OF PREY ITEMS IN THE FOREGUTS OF 10 PREDATORS 138 A. BLACK FLIES —e— ABOVE —-O—- BELOW B. CHIRONOMIDAE —-6— ABOVE —-.— BELOW 20- 10- C. OTHER PREY —e— ABOVE —O— BELOW "8 ‘ I ‘7 I I V I I I U " D. COMBINED PREY —e— ABOVE —O—- BELOW 139 Table 1. Density estimates of macroinvertebrate prey1 in Medora and Manganese Rivers 1 d before starting population level disturbance experiments (n = 5). Medora River Manganese River Taxa #l100 cm2 :1: sem % #/100 cm2 i sem % Diptera Simuliidae 249.5 2!: 36.6 92.54 360.2 :1: 42.9 91.79 Chironomidae 7.0 i 0.7 2.59 13.4 i 1.5 3.41 Trichoptera Hydropsychidae 10.1 i 2.6 3.74 17.4 i 1 .5 4.43 Ephemeroptera Baetidae 0.8 i 0.4 0.30 1 .2 :t 0.2 0.31 Heptageniidae 0.1 i 0.1 0.04 0.0 0.00 Trichorythidae 0.1 :t 0.1 0.04 0.0 0.00 Plecoptera Perlidae 0.8 :l: 0.4 0.30 0.0 0.00 Acarina 1.1 i 0.5 0.41 0.2 :1: 0.2 0.06 other 0.1 :l: 0.1 0.04 0.0 0.00 1Prey included macroinvertebrates visible to the naked eye while in white sorting trays, but less than half the body length of the stonefly predators under investigation. 140 in both systems (Table 2). Simuliidae prey were the most abundant (numerically 92-93% of all prey) at the study sites, and were consumed most frequently (numerically 90-93% of prey). Hydropsychidae and Chironomidae composition at the site ranged 34%, while their composition in predator foreguts ranged 0-6%. Remaining prey taxa were less frequent in both stream reaches and in both predator's diets (Tables 1 & 2). Both predator species consumed significantly fewer black flies at 5d and 10d relative to 0d post-m-disturbance (p<0.05) (Figures 4A 8: 4D). Amnemja Medan collected from the BALL-treated reach (=BELOW) in Medora R. also consumed significantly fewer black flies than those collected fiom the untreated reach (=ABOVE) at 5d and 10d post- disturbance (p < 0.05) (Figure 5A). Bazagnetina media collected at 5d and 10d intervals consumed significantly more alternate (non-black fly) prey relative to those collected at 0d (p<0.05) (Figure 4E), with hydropsychid caddisflies comprising the majority of consumed alternate prey. Aemnemzia lyeeziae did not show a significant predation shift to alternate prey in ELL-disturbed reaches relative to controls (p>0.05) (Figures 4B & 5B). Total prey consumed by predators in ELL-treated habitats (AFTER) was significantly less for A, lyemjaa relative to those predators collected from control (BEFORE) habitats (Figure 4C) at both 5d and 10d (p<0.05), reflecting black fly biomass loss. When comparing predator diets in ABOVE vs. BELOW treatments, total prey consumption for A, lyceziaa nymphs was significantly different at 5d (p<0.05), but not 10d (p=0.06) (Figure 5C). 141 Table 2. Mean number of macroinvertebrate prey items in foreguts of mm Macias collected from Medora River. and Baresnetina media collected from Manganese River, 1 d before starting Medora-Manganese Rivers population level disturbance experiments (n = 10). Medora River Manganese River Taxa #/foregut i sem % #lforegut :l: sem % Diptera Simuliidae 3.7 :t: 1.7 90.24 10.5 :t: 2.4 92.92 Chironomidae 0.2 i 0.1 4.88 0.7 i 0.4 6.19 Trichoptera Hydropsychidae 0.1 :t 0.1 2.44 0.0 0.00 Ephemeroptera Baetidae 0.0 0.00 0.0 0.00 Heptageniidae 0.0 0.00 0.0 0.00 Trichorythidae 0.0 0.00 0.0 0.00 Plecoptera Perlidae 0.1 :1: 0.1 2.44 0.0 0.00 Acarina 0.0 0.00 0.0 0.00 other 0.0 0.00 0.1 i 0.1 0.89 142 Acroneurla lycarias Paragnetlna media 6 q A. BIACK FUES 16 1 D. BLACK FUES '— [ 12 ‘ (=5 4 ‘ 4 ‘a‘:‘ 8 ~ 8 2 - -- l * g: 311 APPLIED 4 ‘ BTI APPLIED t l- v ‘ * g 0 l o I T I if m E 6 q B. OTHER PREY 13 . E. OTHER may m ‘ 3f 12 - g 4 "' 1 BTI APPLIED s . In ~ - * I: 2 l « BTI APPUED >- ‘ 4 . ¢ m E ‘ (B ns 1 u. 0 ?\4—————,— 0 "—"l' I I 0 E 6 C. rCOMBINED PREY 16 . F. COMBINED PREY In ‘ ‘ g 1 z 4 . 12 4 Z ‘ ns ns 5 . e- 5 2 . 0 ‘ B11 APPLIED BTI APPLIED 4 . * I « I o I o I 1 I 0d 5d 10d 0d 5d 10d DAY RELATIVE TO BTI APPLICATION Figure 4. Macroinvertebrate content in the foreguts of Aemnemja lyeefiae and Earagnetina media nymphs BEFORE (= 0d) and AFTER (= 5d & 10d) disturbance from B.t.i. in the Medora and Manganese Rivers (n=10). [ns = not significant @ p = 0.05, * = p < 0.05, ** = p < 0.01, *** = p < 0.001] [Power ( = 1 - beta); A. 5d = 0.62 & 10d = 0.67, B. 5d = 0.27 & 10d = 0.27, C. 5d = 0.57 & 10d = 0.67, D. 5d = 0.98 & 10d = 0.94, E. 5d = 0.57 & 10d = 0.52, F. 5d = 0.27 & 10d = 0.28]. 143 Acroneurla lycorias 6 . A. BLACK FLIES ABOVE BELOW 4 . 2 . BTI APPLIED 0 I 6- B. OTHER PREY —.—- ABOVE —9— BELOW ' BTI APPLIED . ns ns C. COMBINED PREY —.— ABOVE * —e— BELOW MEAN NUMBER OF PREY ITEMS PER PREDATOR FOREGUT DAY RELATIVE TO BTI APPLICATION Figure 5. Macroinvertebrate content in the foreguts of W W nymphs ABOVE and BELOW disturbance from B_,_t,i, in the Medora- Manganese Rivers disturbance experiment (n = 10). [ns = not significant @ p = 0.05, * = p < 0.05, ** = p < 0.01, *** = p < 0.001] [Power (= 1 - beta); A. 5d = 0.89 & 10d = 0.53, B. 5d = 0.05 & 10d = 0.05, C. 5d = 0.89 & 10d = 0.53]. 144 Earagneiina media, on the other hand, did not consume significantly less total prey following Mi, application (p>0.05) (Figure 4F), owing to significant increased predation on alternate prey (p<0.05) (Figure 4E). 12 I | I . E . I Predators L aignata and 2,, media showed a significant predation difference among prey types. Iagperia signata nymphs consumed significantly more black flies than mayflies (p<0.05) (Figure 6A). This predator consumed 1.5-3.5 Simulium, 0.1-1.3 Baetie, and 0-0.4 Enema per day. Eaiagnetina media, on the other hand, did not consume significantly more of one prey type (p>0.05) (Figure 6B). Predation rates ranged between 0.5-5.5 prey eaten/predator/day, on the three prey types. There were no significant differences between the number of black flies consumed by 2.. media and L eignata (p>0.05) (Figure 7), but there were significant differences between combined prey (combined across the three prey species), and individual mayfly taxa. Earagnetina media nymphs consumed significantly more combined, Baetia, and Emma prey than did I. signata (p<0.01) (Figure 7). Remaining prey choice trials indicated significant differences in prey types (Simulium vs. Baetie) consumed between two of the three predators. Amnenzia Medan consumed similar amounts of the two prey types (Figure 8A), with regression slopes between prey types not significantly different (p>0.05). Iaeaefla dieaia consumed significantly more Simulium than Baefie(p<0.001) (Figure 8B). BmLezia yineea demonstrated a different 145 6 E 5 A. Isoperla slgna ta 5 I —o— Simulium E 4 - —o—- Baetis B I —a— Epeorus I: 3 - a. . o 2 '- u.I . a s 1- 1 x b ,_ CE: 4.» 2 s E 71 B . Paragnetlna media a. u u. 6 - —o— Simulium a g ——o— Baelis " a I.” m E a . a z z < m 2 Figure 6. Predation on three prey taxa by A. M sigeata and B. Banagnfiina media during prey choice experiments conducted streamside in artificial channels (n=10). [prey taxa followed by the same letter within each graph are not statistically different @ p = 0.05] [Power (= 1 - beta); A. = 0.86, B. = 0.11]. 146 100 ‘ ‘ I Isopeda signata 80 . Paragnetina media Simulium Baetis Epeorus Spray PREY SPECIES combined MEAN I PREY CONSUMED I PREDATOR / 90 Figure 7. Mean number of prey consumed between Isapefla signata and Bax‘agaetina media predators during prey choice experiments conducted streamside in artificial channels (n=10). [ns = not significant @ p = 0.05, * = p < 0.05, ** = p < 0.01, *** = p < 0.001] [Power (= 1 - beta); Simulium = 0.07, Baejzie = 0.47, ED391115 = 0.41, total = 0.24. 147 1:: A. Acroneuria Modes 2 4 Baetis a: SImuIIum 2 < G Ll] I: n. fi 0 I I I 1 'u- a 14 - B >_ . . lsoperla dicala D. 10 - u_ . O 8 - Simulium 2 4 - D a g 2 q 4—3 Baetis < 0 r . L E 14 a: 12 . C. Boyeria vinosa P '1 < '1 . m 839115 2 Q '— g Simulium In a: n. 0 I I I I O 25 50 75 1 00 °/o PREY IN ENVIRONMENT Figure 8. Feeding response curves for A. We ineriae, B. legeeLla disala. and C. Roxana mesa. over a range of Baetis and Simulium prey compositions. [Difference between slopes of the two regression lines tested at p = 0.05; A. no significant difference (Power = 0.84), B. significantly different (Power = 0.98), C. significantly different (Power = 0.98)]. Lines represent a constant prey proportion consumed by predators over increasing % prey in environment. pl‘l pfl inc avai 148 prey density-prey type-predation relationship than both plecopteran predators. These nymphs consumed significantly more Baetia than Simulium (p<0.001), with a switch (Price 1984) to the more abundant prey at increasing prey density (Figure 8C) for both prey species. Growth for A, lyeen'ae nymphs was not significantly different among the five black fly—mayfly ratios (p>0.05) (Table 3). IGRs ranged 36-53 ug/mg/d for these predatory stoneflies for the five treatments during the six day experiment. DISCUSSION The foregut contents of A, lyeeiiaa and 2, media closely reflected prey availability. Black flies were the major prey taxa available to the macroinvertebrate predators at the study sites and likewise formed the largest fraction of A, lyeen'ae and 2, media diets during the study. Predatory stoneflies display differing levels of generalist predation, that may or may not reflect prey availability (Stewart and Stark 1988). Removing black fly larvae from these aquatic systems significantly impacted overall predation levels and composition of prey consumed by A, lyeeziaa and 2, media. I hypothesized that these opportunistic predators would switch to alternate prey; this was the case for 2, media, but not A, lyeeziae. One explanation for A, liceijaa not switching was that non-black fly prey were not sufficiently abundant, or were not within suitable size classes typically attacked by A, lyeeziae. However, available prey seemed to Ta rat HT: 1 Me: same 0.15). 149 Table 3. Mean mass gain and their corresponding instantaneous growth rates (IGR) of Aeneneezia lyeeziae nymphs fed five Simeiiem-Baetie ratios over 6 d (n = 4). Simuliamfiaetie ratio Mass gain :I: SEM (mg)1 IGR :I: SEM (ug/mg/d) 0:20 130.8 i 34.8 a 5:15 139.8 :I: 29.0 a 10:10 142.8 :I: 33.7 a 15:5 125.8 :I: 32.5 a 20:0 85.0 :I: 25.7 a 49.9 :I: 8.9 48.5 :I: 7.1 53.1 :I: 10.6 48.3 :I: 11.2 35.8 :I: 13.2 1 Means (ug body mass gain / mg initial body mass / day) followed by the same letter are not significantly different (alpha = 0.05, Power [= 1 - beta] = 0.15). 150 be well within the size range that predators were consuming before disturbance. An alternative explanation was that ELL affected predator feeding behavior, causing them to eat less following exposure. This was rejected since stonefly predation was not affected up to 24 hr following B.t.i. exposure (Wipfli 1992). It was also possible that predatory stoneflies were not generalists, but specialists and 'preferred' or attacked certain prey types, with predation related to encounter rates, handling time, and capture success. Prey choice trials indicated that peer predators consumed black fly and mayfly prey at equal or near equal frequencies, while perlodid stoneflies strongly selected black flies over mayflies. Observations made during these experiments indicated low capture to encounter ratios with perlodid relative to peer predators on Baetia prey (Wipfli, pers. obs.). This may, in part, explain different predation levels among prey types, and between predator species. Perlodid stoneflies (L aignaia) appeared highly aggregated and were almost exclusively collected from tree branches suspended in the water column at the Medora River field site, microhabitats where black fly larvae were most abundant and alternate prey nearly non-existent. Perlid stoneflies were never collected from these suspended substrates, but were collected exclusively fi'om substrates on the stream bed, areas where black fly larvae occurred at more even ratios with other prey taxa. Prey choice by the odonate predator differed markedly from the stoneflies. Belezia yinesa attacked the more mobile Baetie prey, taking 151 fewer attached Simulium prey. These predators probably encountered more mobile than sedentary prey owing to the 'ambush' type feeding behavior characteristic of Odonata (Merritt and Cummins 1984). During these experiments, B, yineaa was frequently observed taking prey while stationary. The stoneflies, however, actively searched during feeding trials. Black flies generally remained stationary after they located suitable microhabitats within the artificial streams, and stayed stationary unless disturbed by other insects. Thus, odonate-black fly encounter rates were low. Baetie nymphs frequently swam between microhabitats during experiments, resulting in higher predator-prey encounter rates. The feeding response exhibited by B. m suggested that this predator may actively switch (Price 1984) to alternate prey, when black flies become less abundant. This switching should result in this predator being less sensitive to a B.t.i. disturbance, relative to the predatory stoneflies. Some macroinvertebrate predators were more sensitive than others to prey population level disturbances. Perlodid and odonate nymphs relied more on certain prey taxa such as black flies and mayflies, regardless of overall prey availability, suggesting some degree of specialization. Perlids, however, showed no biased selection towards specific prey taxa, reflecting generalist feeding habits. Specialists like L dieala and L eignaia should be most affected by prey loss through a trophic level disturbance that specifically reduces the prey populations on which these predators rely. However, selective predators such as B, yinesa, relied on prey taxa that were not affected by the imposing disturbance. Generalist predators should fall between the above extremes, having the ability to switch to alternate 152 prey, provided alternate prey are sufficiently abundant. This was true for 2, media in the stream disturbance experiments, and for A, lyeeriaa in the prey choice experiments. Aezeneezia lxeeziaa nymphs grew equally well over a complete range of Simulium-Mejia diet compositions, suggesting that predators such as these generalist will not be affected by removing selected prey taxa, if there are sufficient alternate prey. However, this experiment had a low power (i.e., low probability of finding difference between treatments). There was an interesting trend which led me to form an alternative hypothesis on prey suitability: higher growth rates would be achieved on diets comprised of near even compositions of prey taxa. A higher growth rate trend with increasing prey taxa evenness (i.e., 8:8 versus 0:16, 4:12, 12:4, and 16:0 prey taxa A to prey taxa B) was recorded for A, lyeeziaa over 6 d. This hypothesis needs further testing. The disturbance of removing black flies quantitatively and qualitatively changed stonefly diets. Had these predators not been food limited, reducing prey abundance would not have affected predation levels. Even though predators may not be temporally food limited, a drastic reduction in prey abundance (e.g., 92% during these disturbance experiments) could reduce prey populations below that necessary to maintain predator populations at their pre-existing levels. Alternatively, bottlenecks (Neill 1988) in the system (i.e., low prey abundance in summer when many prey taxa have emerged) may cause predators to be temporally food limited. Prey may be excessively abundant at other times of the year, being under-utilized by the 153 predators. Predation by 2, media on alternate prey species (comprised mostly of Hydropsychidae caddisflies) intensified following ELL disturbance. This increased predation on less 'preferred' prey could in turn lead to a restructuring of the prey community by these macroinvertebrate predators, especially if such a disturbance is repeated frequently enough to prevent prey recolonization. Alternatively, the niche vacated by black flies, .‘ following ELL application, may be filled by other species. Removing black I flies should provide additional food and space and should allow other filter feeders (e.g., hydropsychid caddisflies, midges) to colonize habitats previously occupied by black flies. ELL applications to aquatic communities where black flies dominate may differentially affect specialsit and generalist predators. Results of this study indicated that specialist predators may be most affected by prey-level disturbances (e.g., ELL applications), through loss of 'preferred' prey. Generalist predators may be least affected by prey disturbances if alternate prey are abundant. Black fly larvae were most abundant in these streams in spring and summer, and were not an abundant food resource throughout the year. Thus, ELL may simply remove black flies from stream systems earlier than natural adult emergence would, resulting in minimal impacts on predatory species. Nonetheless, long term studies, associated with ELL use, are needed to understand the consquences to black fly predators. Ad ide ex; FI'E 154 ACKNOWLEDGMENTS I thank G. Amtsen for offering access to his property allowing me to conduct this study, and R. Edens for tireless field assistance. Thanks to P. Adler for identifying black flies, W. Hilsenhofl' for dragonfly and stonefly identifications, and W. McCafferty for mayfly identifications. I also thank B. Peckarsky, J. Ciborowski, and R. Wotton for their suggestions on experimental design, A. Tessier for help with statistical analyses, and S. Fradkin, D. Herms, B. Sobczak, and E. Walker for helpful comments on text content. This study was supported, in part, by Sport Fishing Institute Fund grant SFRP-90-26 awarded to RWM and MSW, and Northeast Regional Black Fly Project NE-118. 155 LITERATURE CITED Abrams, RA. 1987. Indirect interactions between species that share a predator: varieties of indirect effects, pp. 38-54, in WC. Kerfoot & A. Sih [eds.], Predation: direct and indirect impacts on aquatic communities. University Press of New England, Hanover, New Hampshire, U.S.A. 386 PP- COhen, I. 1988. Statistical power analysis for the behavioral sciences. Second edition. L. Erlbaum Assoc. Dejoux, C. 8: J.M. Elouard. 1990. Potential impact of microbial insecticides on the freshwater environment, with special reference to the WHO/ UNDP/ World Bank, Onchocerciasis control programme, pp. 65-83, In M. Laird, L. A. Lacey and E. W. Davidson, [eds.], Safety of microbial insecticides. CRC press, Inc., Boca Raton, FL. 259 pp. Dejoux, C., F.M. Gibon, & L. Yaméogo. 1985. Toxicité pour la faune non- cible de quelques insecticides nouveaux utilises en milieu aquatique tmpical. IV. Le Bacillus thnzinsiensis var. israelensis H-14. Rev. Hydrobiol. Trop. 18: 31-49. De Moor, F.C., & M. Car. 1986. A field evaluation of Baeillug tiIiergieasia var. israelensis as a biological control agent for Simulium chutteri (Diptera: 156 Nematocera) in the Middle Orange River. Onderstepoort J. Vet. Res. 53:43- 50. Gibbs, K.E., F.C. Brautigam, CS. Stubbs, 6: L.M. Zibilske. 1986. Experimental applications of M ghuringieneie var. M5 for larval black fly control: persistence and downstream carry, efficacy, impact on non-target invertebrates and fish feeding. Maine Life Sci. Agric. Exp. Stn. Tech. Bull. 123: 1-25. Holt, RD., 8: HP. Kotler. 1987. Short-term apparent competition. Amer. Nat. 130: 412430. * Hurlbert, S. H. 1984. Pseudoreplication and the design of ecological field experiments. Ecological Monographs. 54: 187-211. Lacey, L. A., & M. S. Mulla. 1990. Safety of Baseline flmzingieneie var. maeleneie and Eaeillna enhaezieua to non-target organisms in the aquatic environment, pp. 169- 188. In M. Laird, L. A. Lacey and E. W. Davidson, [eds.], Safety of microbial insecticides. CRC press, Inc., Boca Raton, FL. 259 pp. Lacey, L.A., 8: AH. Undeen. 1987. The biological control potential of pathogens and parasites of black flies, I_n_ K.C. Kim and R.W. Merritt, [eds.], Black flies: ecology, population management, and annotated World list. Penn. State Univ. Press, University Park, PA. 157 Merritt, R.W., 8: KW. Cummins (eds.). 1984. An Introduction to the Aquatic Insects Of North America (2nd ed.), Kendall/ Hunt Publishing Co., Dubuque, IA. 710 pp. Merritt, R. W., E. D. Walker, M. A. Wilzbach, K. W. Cummins, 8: W. T. Morgan. 1989. A broad evaluation of ELL for black fly (Diptera: Simuliidae) control in a Michigan river: efficacy, carry, and non-target effects on invertebrates and fish. J. Amer. Mosq. Control Assoc. 5 : 397- 415. Miller, T.E., & W.C. Kerfoot. 1987. Redefining indirect effects, pp. 33-37, I_n_ W.C. Kerfoot 8: A. Sih [eds.], Predation: direct and indirect impacts on aquatic communities. University Press of New England, Hanover, New Hampshire, U.S.A. 386 pp. Molloy, D., 8: H. Jamnback. 1981. Field evaluation of Bag‘llus thuringieeeie' var. israelensis as a black fly biocontrol agent and its effect on non-target stream insects. J. Econ. Entomol. 74: 314-318. Neill, W.B. 1988. Community responses to experimental nutrient perturbations in oligotrophic lakes: the importance of bottlenecks in size- structured populations, pp. 236-255. Ia B. Ebenman and L. Persson (eds.), Size structured populations. Springer-Verlag, Berlin. 158 Poff, N.L. 1992. Why disturbances can be predictable: a perspective on the disturbance in streams. J. N. Am. Benthol. Soc. 11: 86-92. Price, P.W. 1984. Insect ecology. Second edition. John Wiley 8: Sons, New York, NY. Resh, V.H., A.V. Brown, A.P. Covich, M.E. Gurtz, H.W. Li, G.W. Minshall, S.R. Reice, A.L. Sheldon, J .B. Wallace, & R.C. Wissmar. 1988. The role of disturbance in stream ecology. J. N. Am. Benthol. Soc. 7: 433- 455. SAS Institute Inc. 1985. SAS user's guide: statistics. Version 5 edition. SAS Institute, Cary, North Carolina, U.S.A. Schmitt, R.J. 1987. Indirect interactions between prey: apparent competition, predator aggregation, and habitat segregation. Ecology 68: 1887-1897. Sousa, WP. 1984. The role of disturbance in natural communities. Ann. Rev. Ecol. Syst. 15: 353-391. Stewart, K.W., & B.P. Stark. 1988. Nymphs of North American stonefly Genera (Plecoptera). The Thomas Say Foundation, Entomological Soc. Amer. U.S.A. 460 pp. 159 Wallace, J .B. 1990. Recovery of lotic macroinvertebrate communities from disturbance. Environ. Management. 14: 605-620. White, RS, 8: S.T.A. Pickett. 1985. Natural disturbance and patch dynamics: an introduction, In The ecology of natural disturbance and patch dynamics, S.T.A. Pickett 8: RS. White [eds.]. Academic Press, New York, N.Y. Wipfli, M.S. 1992. Direct and indirect effects of Bacillus thuringiensis var. i5raelensis on non-target aquatic insects and trout. Ph.D. dissertation. Michigan State University, East Lansing, MI, U.S.A. RECOMMENDATIONS These studies indicated that, when used at labeled rates, ELL does not pose a direct or indirect toxic threat to non-target stream insects and trout. Some non-target aquatic insects (Ephemeroptera and Diptera) were sensitive to ELL at unusually high dosages, but were not afi‘ected when ELL was applied at recommended field rates. This research indicated that when using ELL, care must be taken to accurately calibrate stream discharge, in order to apply the correct dosage of ELL, avoiding an overdose. The main impact of using ELL was on predatory species, through the loss of black fly biomass. In systems where black flies are the dominant food-web component, species such as predatory insects and fish, if highly dependent on black flies for food, will probably suffer from a decreased food resource. If black flies are the dominant species, and remaining animal species that are dependent on black fly larvae are not common, the impact on the stream community will probably be minimal. In summary, the impact of using ELL in a given stream appears to be system specific, dependent upon community structure and secondary productivity. The impact of greatest concern will be the loss of black fly biomass from the stream community food-web. 160