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Simulating the migration dynamics of juvenile salmonids through rivers and estuaries using a hydrodynamically driven enhanced particle tracking model

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  • Sridharan, Vamsi Krishna
  • Jackson, Doug
  • Hein, Andrew M.
  • Perry, Russell W.
  • Pope, Adam C.
  • Hendrix, Noble
  • Danner, Eric M.
  • Lindley, Steven T.

Abstract

Juvenile salmonids migrate hundreds of kilometers from their natal streams to mature in the ocean. Throughout this migration, they respond to environmental cues such as local water velocities and other stimuli to direct and modulate their movements, often through heavily modified riverine and estuarine habitats. Management strategies in an uncertain future of climate change and altered land use regimes depend heavily on being able to reliably predict their ocean entry timings, route use, and survival rates through rivers and estuaries. We developed a spatially-explicit agent-based model of fish movement in response to hydrodynamic flows that uses movement dynamics gleaned from multi-dimensional tracking datasets of acoustically tagged juveniles moving through an urbanized, branched tidal estuary. We demonstrate how such models can be calibrated, and we apply it to the Sacramento-San Joaquin Delta in Central California. The quality of the out-of-sample validation of the model to predict juvenile salmon survival and route selection indicates that the model is versatile and flexible enough to be used in novel hydroclimatological conditions.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:ecomod:v:482:y:2023:i:c:s0304380023001242
    DOI: 10.1016/j.ecolmodel.2023.110393
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    References listed on IDEAS

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    1. Pablo Oteiza & Iris Odstrcil & George Lauder & Ruben Portugues & Florian Engert, 2017. "A novel mechanism for mechanosensory-based rheotaxis in larval zebrafish," Nature, Nature, vol. 547(7664), pages 445-448, July.
    2. 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).
    3. Dupuy, Delphine & Helbert, Céline & Franco, Jessica, 2015. "DiceDesign and DiceEval: Two R Packages for Design and Analysis of Computer Experiments," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 65(i11).
    4. Arenas, Antonio & Politano, Marcela & Weber, Larry & Timko, Mark, 2015. "Analysis of movements and behavior of smolts swimming in hydropower reservoirs," Ecological Modelling, Elsevier, vol. 312(C), pages 292-307.
    5. Pablo Oteiza & Iris Odstrcil & George Lauder & Ruben Portugues & Florian Engert, 2017. "Erratum: A novel mechanism for mechanosensory-based rheotaxis in larval zebrafish," Nature, Nature, vol. 549(7671), pages 292-292, September.
    6. Felipe Irarrázaval & Beatriz Bustos-Gallardo, 2019. "Global Salmon Networks: Unpacking Ecological Contradictions at the Production Stage," Economic Geography, Taylor & Francis Journals, vol. 95(2), pages 159-178, March.
    7. Massoudieh, Arash & Loboschefsky, Erik & Sommer, Ted & Ginn, Timothy & Rose, Kenneth & Loge, Frank, 2011. "Spatio-temporal modeling of striped-bass egg, larval movement, and fate in the San Francisco Bay–Delta," Ecological Modelling, Elsevier, vol. 222(19), pages 3513-3523.
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