IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v482y2023ics0304380023001242.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380023001242
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2023.110393?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    4. 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.
    5. 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.
    6. 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).
    7. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dauvin, Jean-Claude & Zarrouki, Assia & Boutet, Martial & Bennis, Anne-Claire, 2024. "Numerical modelling of dispersal of Ampelisca (Amphipoda Gammaridae) during their diel migration," Ecological Modelling, Elsevier, vol. 493(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Samuel K. H. Sy & Danny C. W. Chan & Roy C. H. Chan & Jing Lyu & Zhongqi Li & Kenneth K. Y. Wong & Chung Hang Jonathan Choi & Vincent C. T. Mok & Hei-Ming Lai & Owen Randlett & Yu Hu & Ho Ko, 2023. "An optofluidic platform for interrogating chemosensory behavior and brainwide neural representation in larval zebrafish," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    2. Kerr, J.R. & Tummers, J.S. & Benson, T. & Lucas, M.C. & Kemp, P.S., 2023. "Modelling fine scale route choice of upstream migrating fish as they approach an instream structure," Ecological Modelling, Elsevier, vol. 478(C).
    3. César Salazar & Roberto Cárdenas-Retamal & Marcela Jaime, 2023. "Environmental efficiency in the salmon industry—an exploratory analysis around the 2007 ISA virus outbreak and subsequent regulations in Chile," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8107-8135, August.
    4. 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).
    5. Łukasz Klimkowski, 2024. "An Artificial Neural Network Model for a Comprehensive Assessment of the Production Performance of Multiple Fractured Unconventional Tight Gas Wells," Energies, MDPI, vol. 17(13), pages 1-26, June.
    6. Johannes Ziesmer & Ding Jin & Sneha D Thube & Christian Henning, 2023. "A Dynamic Baseline Calibration Procedure for CGE models," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1331-1368, April.
    7. Ribaud, Mélina & Blanchet-Scalliet, Christophette & Helbert, Céline & Gillot, Frédéric, 2020. "Robust optimization: A kriging-based multi-objective optimization approach," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
    8. Christophette Blanchet-Scalliet & Céline Helbert & Mélina Ribaud & Céline Vial, 2019. "Four algorithms to construct a sparse kriging kernel for dimensionality reduction," Computational Statistics, Springer, vol. 34(4), pages 1889-1909, December.
    9. G. Dosi & M. C. Pereira & M. E. Virgillito, 2018. "On the robustness of the fat-tailed distribution of firm growth rates: a global sensitivity analysis," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 13(1), pages 173-193, April.
    10. Perrin, T.V.E. & Roustant, O. & Rohmer, J. & Alata, O. & Naulin, J.P. & Idier, D. & Pedreros, R. & Moncoulon, D. & Tinard, P., 2021. "Functional principal component analysis for global sensitivity analysis of model with spatial output," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
    11. Schoonees, Pieter & le Roux, Niël & Coetzer, Roelof, 2016. "Flexible Graphical Assessment of Experimental Designs in R: The vdg Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 74(i03).
    12. Zielinski, D.P. & Voller, VR. & Sorensen, P.W., 2018. "A physiologically inspired agent-based approach to model upstream passage of invasive fish at a lock-and-dam," Ecological Modelling, Elsevier, vol. 382(C), pages 18-32.
    13. Lauvernet, Claire & Helbert, Céline, 2020. "Metamodeling methods that incorporate qualitative variables for improved design of vegetative filter strips," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    14. Neves Costa, João & Ambrósio, Jorge & Andrade, António R. & Frey, Daniel, 2023. "Safety assessment using computer experiments and surrogate modeling: Railway vehicle safety and track quality indices," Reliability Engineering and System Safety, Elsevier, vol. 229(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:482:y:2023:i:c:s0304380023001242. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.