EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/21/2019 | 2:45 PM - 3:00 PM | INDIVIDUAL BASED MODELLING OF FISH MIGRATION IN A 2-D RIVER SYSTEM: MODEL DEVELOPMENT AND CASE STUDY | 250 CF
INDIVIDUAL BASED MODELLING OF FISH MIGRATION IN A 2-D RIVER SYSTEM: MODEL DEVELOPMENT AND CASE STUDY
Diadromous fish populations in the Pacific Northwest face interacting challenges along their migratory routes. These challenges include declining habitat quality, harvest, and barriers to longitudinal connectivity. These interacting factors influencing migration success make it challenging to assess management options for improving conditions for migratory fishes such as imperiled anadromous salmon and steelhead species along riverine migration corridors. We describe a migration corridor simulation model which integrates complex individual behavior, responds to variable habitat conditions over large areas, and is able to link migration corridor conditions to fish fitness outcomes. Our model, developed within HexSim, is built around a mechanistic behavioral decision tree that drives individual interactions with their spatially explicit simulated environment. Outcomes of the migration corridor simulation model include passage time, energy use, and survival, which can be used to evaluate trade-offs of behavioral thermoregulation on fish fitness. To demonstrate the potential utility of the simulation model, we describe the sequence of model events and basic model mechanisms. Then, we describe an application of the simulation model to a case study of salmon and steelhead adults in the Columbia River migration corridor.
- Landscape
- Modeling
- Movement
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Presenters/Authors
Marcia Snyder
(), US Environmental Protection Agency, snyder.marcia@epa.gov;
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Nathan Schumaker
(), US EPA, schumaker.nathan@epa.gov;
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Joe Ebersole
(), US EPA, Western Ecology Division, Corvallis, OR, ebersole.joe@epa.gov;
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Jason Dunham
(), U. S. Geological Survey, jdunham@usgs.gov;
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Randy Comeleo
(), US Environmental Protection Agency, comeleo.randy@epa.gov;
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Matthew Keefer
(), University of Idaho, mkeefer@uidaho.edu;
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Peter Leinenbach
(), US EPA, leinenbach.peter@epa.gov;
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Allen Brookes
(), US EPA, brookes.allen@epa.gov;
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John Palmer
(), US Environmental Protection Agency, Region 10, palmer.john@epa.gov;
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Dru Keenan
(), US Environmental Protection Agency, keenan.dru@epa.gov;
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