2022 Early Hearing Detection & Intervention Virtual Conference

March 13 - 15, 2022

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6/06/2017  |   10:00 AM - 10:15 AM   |  COMBINING DYNAMIC OCCUPANCY MODELS AND TRAIT-BASED APPROACHES TO ASSESS THE RESPONSE OF STREAM FISH ASSEMBLAGES TO HYDROLOGICAL AND HYDROTHERMAL VARIABILITY   |  302C

COMBINING DYNAMIC OCCUPANCY MODELS AND TRAIT-BASED APPROACHES TO ASSESS THE RESPONSE OF STREAM FISH ASSEMBLAGES TO HYDROLOGICAL AND HYDROTHERMAL VARIABILITY

Effective management and conservation of aquatic communities is a challenging task. Dynamic occupancy models provide an excellent framework for assessing the predominant factors influencing patch dynamics (colonization and extinction) of fishes in lotic systems. Trait-based approaches, which involve the grouping of taxa based on shared characteristics, are similarly useful for generalizing the responses of stream fishes to a variety of factors. Combined, these approaches enable managers to assess how natural- and human-induced changes in streamflow conditions influence fish assemblages. Consideration of species traits may be particularly advantageous for rare species that are difficult to study, as rare species often share traits - and potentially shared responses - with more abundant or widely distributed and co-occurring species. Using two example studies, one involving darter assemblages in Tennessee and another involving oxbow fish assemblages in Iowa, we demonstrate the use of multi-species dynamic occupancy modeling combined with groupings based on species traits to assess the response of fishes to hydrological and hydrothermal variability. We believe that this approach provides managers with valuable insight into how aquatic species may respond to future management and conservation activities.

  • C02 Fish and Other Aquatic Vertebrates
  • C14 Hydroecology
  • S31 Moving forward in flow ecology: identifying and testing key hypotheses & C17 Bioassessment

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Presenters/Authors

Colin Shea (), Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute, St. Petersburg, FL 33701, USA, colin.shea@myfwc.com;


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Bryan Bakevich (), New Mexico Department of Game and Fish, Santa Fe, NM 87504, USA, Bryan.Bakevich@state.nm.us;


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Phil Bettoli (), U.S. Geological Survey, Tennessee Cooperative Fishery Research Unit, Tennessee Technological University, Cookeville, TN 380505, USA, pbettoli@tntech.edu;


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Jesse Fischer (), North Carolina State University, jessefischer@gmail.com;


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Clay Pierce (), U.S. Geological Survey, Iowa Cooperative Fish and Wildlife Research Unit, Iowa State University, 2310 Pammel Drive, Ames, IA 50011, USA, cpierce@iastate.edu;


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Michael Quist (), U.S. Geological Survey, Idaho Cooperative Fish and Wildlife Research Unit, University of Idaho, Moscow, ID 83844, USA, mcquist@uidaho.edu;


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