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Predicting Fish Growth Potential and Identifying Water Quality Constraints: A Spatially-Explicit Bioenergetics Approach

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Abstract

Anthropogenic impairment of water bodies represents a global environmental concern, yet few attempts have successfully linked fish performance to thermal habitat suitability and fewer have distinguished co-varying water quality constraints. We interfaced fish bioenergetics, field measurements, and Thermal Remote Imaging to generate a spatially-explicit, high-resolution surface of fish growth potential, and next employed a structured hypothesis to detect relationships among measures of fish performance and co-varying water quality constraints. Our thermal surface of fish performance captured the amount and spatial-temporal arrangement of thermally-suitable habitat for three focal species in an extremely heterogeneous reservoir, but interpretation of this pattern was initially confounded by seasonal covariation of water residence time and water quality. Subsequent path analysis revealed that in terms of seasonal patterns in growth potential, catfish and walleye responded to temperature, positively and negatively, respectively; crappie and walleye responded to eutrophy (negatively). At the high eutrophy levels observed in this system, some desired fishes appear to suffer from excessive cultural eutrophication within the context of elevated temperatures whereas others appear to be largely unaffected or even enhanced. Our overall findings do not lead to the conclusion that this system is degraded by pollution; however, they do highlight the need to use a sensitive focal species in the process of determining allowable nutrient loading and as integrators of habitat suitability across multiple spatial and temporal scales. We provide an integrated approach useful for quantifying fish growth potential and identifying water quality constraints on fish performance at spatial scales appropriate for whole-system management.

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References

  • Baldwin CM, Beauchamp DA, Van Tassell JJ (2000) Bioenergetic assessment of temporal food supply and consumption demand by salmonids in the Strawberry Reservoir food web. Transactions of the American Fisheries Society 129:429–450

    Article  Google Scholar 

  • Barsi JA, Schott JR, Palluconi FD, Heider DL, Hook SJ, Markham BL, Chander G, O’Donnell EM (2003) Landsat TM and ETM+ thermal band calibration. Canadian Journal of Remote Sensing 29:141–153

    Article  Google Scholar 

  • Boisclair D (2001) Fish habitat modeling: from conceptual framework to functional tools. Canadian Journal of Fish and Aquatic Science 58:1–9

    Article  Google Scholar 

  • Bollen KA (1989) Structural equations with latent variables. Wiley, New York

    Google Scholar 

  • Brandt SB, Kirsch J (1993) Spatially explicit models of striped bass growth potential in Chesapeake Bay. Transactions of the American Fisheries Society 122:845–869

    Article  Google Scholar 

  • Brandt SB, Mason DM, Patrick EV (1992) Spatially-explicit models of fish growth rate. Fisheries 17:23–35

    Article  Google Scholar 

  • Breiman L (2001) Random forests. Machine Learning 45:5–32

    Article  Google Scholar 

  • Carlander KC (1969) Black bullhead. In: Handbook of freshwater fishes of the United States and Canada, exclusive of the Perciformes. Iowa State University Press, Ames, Iowa, pp 525–532

  • Carpenter SR, Kitchell JF (1993) The trophic cascade in lakes. Cambridge University Press, New York, NY 385 pp

    Book  Google Scholar 

  • Carpenter SR, Ludwig D, Brock WA (1999) Management of eutrophication for lakes subject to potentially irreversible change. Ecological Applications 9:751–771

    Article  Google Scholar 

  • Chapra SC, Reckhow KH (1983) Engineering approaches for lake management. In: Volume 2: Mechanistic Modeling. Butterworth Publishers, Boston, MA

  • Costanza R, Norton BG, Haskell BD (1992) Ecosystem health: new goals for environmental management. Island Press, Washington, DC

    Google Scholar 

  • Crowder LB, Cooper WE (1982) Habitat structural complexity and the interaction between bluegills and their prey. Ecology 63:1802–1813

    Article  Google Scholar 

  • Crowder LB, Magnuson JJ (1982) Thermal habitat shifts by fishes at the thermocline in Lake Michigan. Canadian Journal of Fish and Aquatic Science 39:1046–1050

    Article  Google Scholar 

  • Dahle SK (2009) Understanding the abiotic and biotic factors that determine fish abundance and diversity along the gradient of a highly altered stream ecosystem. MS Thesis. Utah State University, Logan, UT, 41 pp

  • Dale VH, Beyeler SC (2001) Challenges in the development and use of ecological indicators. Ecological Indicators 1:3–10

    Article  Google Scholar 

  • Davies SP, Jackson SK (2006) The biological condition gradient: a descriptive model for interpreting change in aquatic ecosystems. Ecological Applications 16:1251–1266

    Article  Google Scholar 

  • Downing JA, Plante C, Lalonde S (1990) Fish production correlated with primary productivity not the morphoedaphic index. Canadian Journal of Fish and Aquatic Science 47:1929–1936

    Article  Google Scholar 

  • Dumont HJ, Van de Velde I, Dumont S (1975) The dry weight estimate of biomass in a selection of Cladocera, Copepoda, and Rotifera from the plankton, periphyton, and benthos of continental waters. Oecologia 19:75–97

    Article  Google Scholar 

  • Environmental Protection Agency (EPA) (2009) National summary of impaired waters and TMDL information. http://iaspub.epa.gov/waters10/attains_nation_cy.control?p_report_type=T#status_of_data. Accessed 20 July 2010

  • Fausch KD, Lyons J, Karr JR, Angermeier PL (1990) Fish communities as indicators of environmental degradation. American Fisheries Symposium 8:123–144

    Google Scholar 

  • Faux RN, Lachowski LH, Maus PM, Torgersen CE, Boyd MS (2001) New approaches for monitoring stream temperature: airborne thermal infrared remote sensing. USFS: Remote Sensing Applications Center, San Dimas, CA

  • Friedland KD, Hansen LP, Dunkley DA, MacLean JC (2000) Linkage between ocean climate, post-smolt growth and survival of Atlantic salmon (Salmo salar L.) in the North Sea area. Ices Journal of Marine Science 57:419–429

    Article  Google Scholar 

  • Friedlander AM, Brown EK, Monaco ME (2007) Coupling ecology and GIS to evaluate efficacy of marine protected areas in Hawaii. Ecological Applications 17:715–730

    Article  Google Scholar 

  • Ginzburg LR, Jensen CXJ (2004) Rules of thumb for judging ecological theories. Trends in Ecology and Evolution 19:121–126

    Article  Google Scholar 

  • Giske J, Huse G, Fiksen O (1998) Modeling spatial dynamics of fish. Reviews in Fish Biology and Fisheries 8:57–91

    Article  Google Scholar 

  • Goyke AP, Brandt SB (1993) Spatial models of salmonine growth rates in Lake Ontario. Transactions of the American Fisheries Society 122:870–883

    Article  Google Scholar 

  • Grace JB (2006) Structural equation modeling and natural systems. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Griffith MB, Daniel FB, Morrison MA, Troyer ME, Lazorchak JM, Schubauer-Berigan JP (2009) Linking excess nutrients, light, and fine bedded sediments to impacts on faunal assemblages in headwater agricultural streams. Journal of the American Water Resources Association 45:1475–1491

    Article  CAS  Google Scholar 

  • Haddix T, Budy P (2005) Factors that limit growth and abundance of rainbow trout across ecologically distinct areas of Flaming George Reservoir, Utah-Wyoming. North American Journal of Fisheries Management 25:1082–1094

    Article  Google Scholar 

  • Handcock RN, Gillespie AR, Cherkauer KA, Kay JE, Burges SJ, Kampf SK (2006) Accuracy and uncertainty of thermal-infrared remote sensing of stream temperatures at multiple spatial scales. Remote Sensing of the Environment 100:427–440

    Article  Google Scholar 

  • Hansen MJ, Boisclair D, Brandt SB, Hewett SW, Kitchell JF, Lucas MC, Ney JJ (1993) Applications of bioenergetics models to fish ecology and management: where do we go from here? Transactions of the American Fisheries Society 122:1019–1030

    Article  Google Scholar 

  • Hanson PC, Johnson TB, Schindler DE, Kitchell JF (1997) Fish bioenergetics 3.0 for Windows. University of Wisconsin System Sea Grant Technical Report Number. WISCU-T-97-001. Madison, WI

  • Hartman KJ, Kitchell JF (2008) Bioenergetics modeling: progress since the 1992 symposium. Transactions of the American Fisheries Society 137:216–223

    Article  Google Scholar 

  • Headrick MR, Carline RF (1993) Restricted summer habitat and growth of northern pike in two southern Ohio impoundments. Transactions of the American Fisheries Society 122:228–236

    Article  Google Scholar 

  • Hewett SW, Johnson BL (1992) Fish Bioenergetics model 2: an upgrade of a generalized bioenergetics model of fish growth for microcomputers. University of Wisconsin, Sea Grant Institute, Technical Report WIS-SG-92-250, Madison, WI

  • Höök TO, Rutherford ES, Brines SJ, Geddes CA, Mason DM, Schwab DJ, Fleischer GW (2004a) Landscape scale measures of steelhead (Oncorhynchus mykiss) bioenergetic growth rate potential in Lake Michigan and comparison with angler catch rates. Journal of Great Lakes Research 30:545–556

    Article  Google Scholar 

  • Höök TO, Rutherford ES, Brines SJ, Schwab DJ, McCormick MJ (2004b) Relationship between surface water temperature and steelhead distributions in Lake Michigan. North American Journal of Fish Management 24:211–221

    Article  Google Scholar 

  • Hughes NF, Grand C (2000) Physiological ecology meets the ideal-free distribution: predicting the distribution of size-structured fish populations across temperature gradients. Environmental Biology of Fishes 59:285–298

    Article  Google Scholar 

  • Jackson DA, Peres-Neto PR, Olden JD (2001) What controls who is where in freshwater fish communities–the roles of biotic, abiotic, and spatial factors. Canadian Journal of Fish and Aquatic Science 58:157–170

    Google Scholar 

  • Jobling M (1981) Temperature tolerance and the final preferendum—rapid methods for the assessment of optimum growth temperatures. Journal of Fish Biology 19:439–455

    Article  Google Scholar 

  • Kasprzak P, Benndorf J, Mehnerr T, Koschel R (2002) Biomanipulation of lake ecosystems: an introduction. Freshwater Biology 47:2277–2281

    Article  Google Scholar 

  • Kitchell JF, Koonce JF, O’Neill RV, Shugart HH, Magnuson JJ, Booth RS (1974) Model of fish biomass dynamics. Transactions of the American Fisheries Society 103:786–798

    Article  Google Scholar 

  • Landres PB, Verner J, Thomas JW (1988) Ecological uses of vertebrate indicator species: a critique. Conservation Biology 2:316–328

    Article  Google Scholar 

  • Livingston RJ (2007) Phytoplankton bloom effects on a gulf estuary: water quality changes and biological response. Ecological Applications 17(5) Supplement:S64–S78

    Google Scholar 

  • Luecke C, Wengert MW, Schneidervin RW (1999) Comparing results of a spatially explicit growth model with changes in the length-weight relationship of lake trout (Salvelinus namaycush) in Flaming George Reservoir. Canadian Journal of Fish and Aquatic Sciences 56:162–169

    Article  Google Scholar 

  • Madon SP, Culver DA (1993) Bioenergetics model of larval and juvenile walleyes—an in-situ approach with experimental ponds. Transactions of the American Fisheries Society 122:797–813

    Article  Google Scholar 

  • Mason DM, Brandt SB (1996) Effects of spatial scale and foraging efficiency on the predictions made by spatially-explicit models of fish growth rate potential. Environmental Biology of Fishes 45:283–298

    Article  Google Scholar 

  • Mason DM, Goyke A, Brandt SB (1995) A spatially explicit bioenergetics measure of habitat quality for adult salmonines: comparison between Lakes Michigan and Ontario. Canadian Journal of Fish and Aquatic Science 52:1572–1583

    Article  Google Scholar 

  • Mazur MM, Beauchamp DA (2006) Linking piscivory to spatial-temporal distributions of pelagic prey fishes with a visual foraging model. Journal of Fish Biology 69:151–175

    Article  Google Scholar 

  • Mazur NM, Wilson MT, Dougherty AB (2007) Temperature and prey quality effects on growth of juvenile walleye pollock Theragra chalcogramma (Pallas): a spatially explicit bioenergetics approach. Journal of Fish Biology 70:816–836

    Article  Google Scholar 

  • McCauley E (1984) The estimate of the abundance and biomass of zooplankton in samples. In: Downing JA, Rigler FH (eds) A manual on methods for the assessment of secondary productivity in freshwaters, 2nd edn. Blackwell Scientific Publishing, Oxford, pp 228–265

    Google Scholar 

  • McMahon TE, Terrell JW (1982) Habitat suitability index models: Channel catfish. U.S.D.l. Fish and Wildlife Service. FWS/OBS-82/l0.2. 29 pp. http://www.nwrc.usgs.gov/wdb/pub/hsi/hsiindex.htm

  • Minnesota Department of Natural Resources (MNDNR) (2006) Grand Lake Management Plan, Region 2. St. Louis County, MN, DOW Number 69-0511

  • Miranda LE, Spickard M, Dunn T, Webb KM, Aycock JN, Hunt K (2010) Fish habitat degradation in U.S. reservoirs. Fisheries 35:175–184

    Article  Google Scholar 

  • Mitchell RJ (1992) Testing evolutionary and ecological hypotheses using path analysis and structural equation modeling. Erlbaum, Mahwah

    Google Scholar 

  • Mooij WM, De Senerpoint Domis LN, Janse JH (2009) Linking species- and ecosystem-level impacts of climate change in lakes with a complex and a minimal model. Ecological Modeling 220:3011–3020

    Article  Google Scholar 

  • Ney JJ (1990) Trophic economics in fisheries: assessment of demand-supply relationship between predators and prey. Review in Aquatic Sciences 2:55–81

    Google Scholar 

  • Ney JJ (1993) Bioenergetics modeling today: growing pains on the cutting edge. Transactions of the American Fisheries Society 122:736–748

    Article  Google Scholar 

  • Niklitschek EJ, Secor DH (2005) Modeling spatial and temporal variation of suitable nursery habitats for Atlantic sturgeon in the Chesapeake Bay. Estuarine Costal and Shelf Science 64:135–148

    Article  Google Scholar 

  • Nislow KH, Folt CL, Parrish DL (2000) Spatially explicit bioenergetic analysis of habitat quality for age-0 Atlantic salmon. Transactions of the American Fisheries Society 129:1067–1081

    Article  Google Scholar 

  • Parry R (1998) Agricultural phosphorus and water quality: a U.S. Environmental Protection Agency perspective. Journal of Environmental Quality 27:258–261

    Article  CAS  Google Scholar 

  • Pauli HR (1989) A new method to estimate individual dry weights of rotifers. Hydrobiologia 186(187):355–361

    Article  Google Scholar 

  • Persson L, Greenberg LA (1990) Interspecific and intraspecific size class competition affecting use and growth of perch, Perca fluviatilis. Oikos 59:97–106

    Article  Google Scholar 

  • Petraitis PS, Dunham AE, Niewiarowski PH (1996) Inferring multiple causality: the limitations of path analysis. Functional Ecology 10:421–431

    Article  Google Scholar 

  • Pilati A, Vanni MJ, Gonzalez MJ, Gaulke AK (2009) Effects of agricultural subsidies of nutrients and detritus on fish and plankton of shallow-reservoir ecosystems. Ecological Applications 19:942–960

    Article  Google Scholar 

  • Power M, Attrill MJ (2007) Temperature-dependant temporal variation in the size and growth of Thames estuary smelt Osmerus eperlanus. Marine Ecology Progress Series 330:213–222

    Article  Google Scholar 

  • Quist MC, Guy CS, Bernot RJ, Stphen JL (2002) Seasonal variation in condition, growth and food habits of walleye in a Great Plains reservoir and simulated effects of an altered thermal regime. Journal of Fish Biology 61:1329–1344

    Article  Google Scholar 

  • Radant RD, Sakaguchi DK (1979) Study of fisheries, vegetation, and terrestrial wildlife of Utah Lake. Utah Department of Natural Resources, Utah Division of Wildlife Resources, Salt Lake City, UT

    Google Scholar 

  • Railsback SF, Harvey BC (2002) Analysis of habitat-selection rules using an individual-based model. Ecology 83:1817–1830

    Google Scholar 

  • Riseng CM, Wiley MJ, Stevenson RJ (2004) Hydrologic disturbance and nutrient effects on benthic community structure in midwestern US streams: a covariance structure analysis. Journal of the North American Benthological Society 23:309–326

    Article  Google Scholar 

  • Roell MJ, Orth DJ (1993) Trophic basis of production of stream-dwelling smallmouth bass, rock bass, and flathead catfish in relation to invertebrate bait harvest. Transactions of the American Fisheries Society 122:46–62

    Article  Google Scholar 

  • Romare P, Berg S, Lauridsen T (2003) Spatial and temporal distribution of fish and zooplankton in a shallow lake. Freshwater Biology 48:1353–1362

    Article  Google Scholar 

  • Rose KA (2000) Why are quantitative relationships between environmental quality and fish populations so elusive? Ecological Applications 10:367–385

    Article  Google Scholar 

  • Rosenfeld J (2003) Assessing the habitat requirements of stream fishes: an overview and evaluation of different approaches. Transactions of the American Fisheries Society 132:953–968

    Article  Google Scholar 

  • Sanborn SC, Bledsoe BP (2006) Predicting streamflow regime metrics for ungauged streams in Colorado, Washington, and Oregon. Journal of Hydrology 325:241–261

    Article  Google Scholar 

  • Shipley B (1997) Exploratory path analysis with applications in ecology and evolution. American Naturalist 149:1113–1138

    Article  CAS  Google Scholar 

  • Shipley B (2000) Cause and correlation in biology: a user’s guide to path analysis, structural equations and causal inference. Cambridge University Press, Cambridge, United Kingdom

    Book  Google Scholar 

  • Soballe DM, Kimmel BL (1987) A large-scale comparison of factors influencing phytoplankton abundance in rivers, lakes, and impoundments. Ecology 68:1943–1954

    Article  Google Scholar 

  • SPSS Inc (2009) IBM SPSS statistics 18. SPSS, Chicago

    Google Scholar 

  • Stewart DJ, Ibarra M (1991) Predation and production by Salmonine fishes in Lake Michigan, 1978–88. Canadian Journal of Fish and Aquatic Science 48:909–922

    Article  Google Scholar 

  • Tilman D (1999) Global environmental impacts of agricultural expansion: the need for sustainable and efficient practices. Proceedings of the National Academy of Sciences 96:5995–6000

    Article  CAS  Google Scholar 

  • Torgersen CE, Price DM, Li HW, McIntosh BA (1999) Multiscale thermal refugia and stream habitat associations of Chinook salmon in Northeastern Oregon. Ecological Applications 9:301–319

    Article  Google Scholar 

  • Torgersen CE, Faux RN, McIntosh BA, Poage NJ, Norton DJ (2001) Airborne thermal remote sensing for water temperature assessment in rivers and streams. Remote Sensing of the Environment 76:386–398

    Article  Google Scholar 

  • Tyler JA, Brandt SB (2001) Do spatial models of growth rate potential reflect fish growth in a heterogeneous environment? A comparison of model results. Ecology of Freshwater Fish 10:43–56

    Article  Google Scholar 

  • Utah Department of Environmental Quality, Division of Water Quality (UDWQ) (2009) Middle Bear River and Cutler Reservoir TMDLs. Public Draft, Version 4, Waterbody ID UT-L-16030006-008. http://www.waterquality.utah.gov/TMDL/Cutler_Reservoir_TMDL_Public_Draft_v4.pdf. Accessed 31 May 2010

  • Vatland S, Budy P, Thiede GP (2008) An approach to modeling striped bass and threadfin shad predator-prey dynamics in Lake Powell, Utah-Arizona. Transactions of the American Fisheries Society 137:262–277

    Article  Google Scholar 

  • Wazniak CE, Hall MR, Carruthers TJB, Sturgis B, Dennison WC, Orth RJ (2007) Linking water quality to living resources in a mid-Atlantic lagoon system, USA. Ecological Applications 17(5) Supplement: S64–S78

  • Weber MJ, Brown ML (2009) Effects of common carp on aquatic ecosystems 80 years after “Carp as a Dominant”: ecological insights for fisheries management. Reviews in Fisheries Science 17:524–537

    Article  Google Scholar 

  • Welschmeyer NA (1994) Fluorometric analysis of chlorophyll a in the presence of chlorophyll b and pigments. Limnology and Oceanography 39:1985–1992

    Article  CAS  Google Scholar 

  • Wildhaber ML, Crowder LB (1990) Testing a bioenergetics-based habitat choice model—bluegill Lepomis-Macrochirus responses to food availability and temperature. Canadian Journal of Fisheries and Aquatic Sciences 47:1664–1671

    Article  Google Scholar 

  • Winberg GG (1956) Rate of metabolism and food requirements of fishes. Belorussian State University, Minsk, Russia. Translated from Russian by Fisheries Research Board of Canada. Translation Series 194

  • Wootton JT (1992) Predicting direct and indirect effects: and integrated approach using experiments and PATH analysis. Ecology 75:151–165

    Article  Google Scholar 

  • Zimmerman LC, Standora EA, Spotila JR (1989) Behavioural thermoregulation of largemouth bass (Micropterus salmoides): response of naive fish to the thermal gradient in a nuclear reactor cooling reservoir. Journal of Thermal Biology 14:123–132

    Article  Google Scholar 

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Acknowledgments

Financial support was provided by the Utah Division of Environmental Quality, Division of Water Quality, The Nature Conservancy, The Ecology Center at Utah State University, and the U.S. Geological Survey, Utah Cooperative Fish and Wildlife Research Unit (in-kind). Special thanks to Gary Thiede for technical support, logistical oversight, and special assistance in manuscript preparation and to Christy Meredith for generating the map. Thanks also to our field crews, lab technicians, and graduate students in the Fish Ecology Lab at Utah State University. Edward W. Evans reviewed previous drafts of this manuscript. Mention of brand names in this manuscript does not imply endorsement by the U.S. Government.

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Budy, P., Baker, M. & Dahle, S.K. Predicting Fish Growth Potential and Identifying Water Quality Constraints: A Spatially-Explicit Bioenergetics Approach. Environmental Management 48, 691–709 (2011). https://doi.org/10.1007/s00267-011-9717-1

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