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Environmental and behavioral controls on juvenile Chinook salmon migration pathways in the Columbia River estuary

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  • Morrice, Katherine J.
  • Baptista, António M.
  • Burke, Brian J.

Abstract

Juvenile Chinook salmon population dynamics in the Columbia River estuary are influenced by physical processes, hatchery practices, and behavioral decision-making. To better understand how environmental forcing and swimming behavior influence estuarine migration and travel times, we developed an individual-based model (IBM) that uses 3-D outputs from a hydrodynamic model to simulate Lagrangian transport as well as swimming and bioenergetics sub-models to simulate active swimming and growth. Simulations were run in 2010 during the migration seasons for yearling and subyearling Chinook salmon. For both life history types, alternative behaviors were simulated, from random walks to behaviors that optimized efficient system migration for yearling Chinook salmon and growth for subyearling Chinook salmon. Simulation results compared well against observed data on travel times and common migration pathways; the simulated travel times for both yearling and subyearling Chinook salmon were within several hours of the observed travel times. In general, residence times and pathways were largely driven by river discharge and the phase of the tide. During periods of greater river discharge, simulated estuarine residence times were reduced and variability across individuals was minimal. The timing of estuarine exit was closely tied to the phase of the tide, with most simulated individuals exiting the system during the ebb phase. While travel times were largely driven by flow velocities, swimming behavior was likewise important. Simulated yearling Chinook salmon behaviors that optimized movement with surrounding flows resulted in reduced estuarine residence times when compared to passive and random walk behaviors. Similarly, simulated subyearling Chinook salmon behaviors that optimized growth directed individuals to shallow peripheral habitats, resulting in longer residence times and higher growth rates. Even if potentially important factors such as predator avoidance were not included, this IBM provides an informative tool to model migration pathways, growth, and residence times of juvenile salmon in an estuarine environment and could be used to inform management decisions by evaluating various scenarios.

Suggested Citation

  • Morrice, Katherine J. & Baptista, António M. & Burke, Brian J., 2020. "Environmental and behavioral controls on juvenile Chinook salmon migration pathways in the Columbia River estuary," Ecological Modelling, Elsevier, vol. 427(C).
  • Handle: RePEc:eee:ecomod:v:427:y:2020:i:c:s0304380020300752
    DOI: 10.1016/j.ecolmodel.2020.109003
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    References listed on IDEAS

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    1. Watkins, Katherine Shepard & Rose, Kenneth A., 2017. "Simulating individual-based movement in dynamic environments," Ecological Modelling, Elsevier, vol. 356(C), pages 59-72.
    2. Willis, Jay, 2011. "Modelling swimming aquatic animals in hydrodynamic models," Ecological Modelling, Elsevier, vol. 222(23), pages 3869-3887.
    3. Politikos, Dimitrios V. & Huret, Martin & Petitgas, Pierre, 2015. "A coupled movement and bioenergetics model to explore the spawning migration of anchovy in the Bay of Biscay," Ecological Modelling, Elsevier, vol. 313(C), pages 212-222.
    4. Watkins, Katherine Shepard & Rose, Kenneth A., 2013. "Evaluating the performance of individual-based animal movement models in novel environments," Ecological Modelling, Elsevier, vol. 250(C), pages 214-234.
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    2. Sridharan, Vamsi Krishna & Jackson, Doug & Hein, Andrew M. & Perry, Russell W. & Pope, Adam C. & Hendrix, Noble & Danner, Eric M. & Lindley, Steven T., 2023. "Simulating the migration dynamics of juvenile salmonids through rivers and estuaries using a hydrodynamically driven enhanced particle tracking model," Ecological Modelling, Elsevier, vol. 482(C).
    3. Júnior, Emerson Campos Barbosa & Rios, Vitor Passos & Dodonov, Pavel & Vilela, Bruno & Japyassú, Hilton F, 2022. "Effect of behavioural plasticity and environmental properties on the resilience of communities under habitat loss and fragmentation," Ecological Modelling, Elsevier, vol. 472(C).

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