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

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dc.contributor.authorBudy, Phaedra
dc.contributor.authorBaker, Matthew
dc.contributor.authorDahle, Samuel K.
dc.date.accessioned2018-10-23T13:11:14Z
dc.date.available2018-10-23T13:11:14Z
dc.date.issued2011-07-17
dc.description.abstractAnthropogenic 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.en_US
dc.description.sponsorshipFinancial 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.en_US
dc.description.urihttps://link.springer.com/article/10.1007%2Fs00267-011-9717-1en_US
dc.format.extent19 pagesen_US
dc.genrejournal articleen_US
dc.identifierdoi:10.13016/M2P844056
dc.identifier.citationPhaedra Budy , Matthew Baker ,Samuel K. Dahle ,Predicting Fish Growth Potential and Identifying Water Quality Constraints: A Spatially-Explicit Bioenergetics Approach, Environmental Management (2011) 48:691–709 ,DOI 10.1007/s00267-011-9717-1en_US
dc.identifier.uri10.1007/s00267-011-9717-1
dc.identifier.urihttp://hdl.handle.net/11603/11635
dc.language.isoen_USen_US
dc.publisherSpringer Science,Business Mediaen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Geography and Environmental Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectFish performanceen_US
dc.subjectWater qualityen_US
dc.subjectStructured hypothesesen_US
dc.subjectWater temperatureen_US
dc.subjectEutrophicationen_US
dc.subjectClean water acten_US
dc.subjectThermal remote imaging (TIR)en_US
dc.subjectBioenergeticsen_US
dc.subjectUMBC High Performance Computing Facility (HPCF)en_US
dc.titlePredicting Fish Growth Potential and Identifying Water Quality Constraints: A Spatially-Explicit Bioenergetics Approachen_US
dc.typeTexten_US

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