IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i17p6765-d401852.html
   My bibliography  Save this article

Role of Transient Characteristics in Fish Trajectory Modeling

Author

Listed:
  • Gao Zhu

    (School of Transportation and Civil Engineering, Nantong University, Nantong 226019, China
    State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
    Department of Energy and Process Engineering, Norwegian University of Science and Technology, 7491 Trondheim, Norway)

  • Zuhao Zhou

    (State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China)

  • Helge I Andersson

    (Department of Energy and Process Engineering, Norwegian University of Science and Technology, 7491 Trondheim, Norway)

Abstract

In this experiment, we analyzed live fish (silver carp) trajectories recorded in an experimental vertical-slot fishway. Combined with a numerical simulation, we demonstrated that randomness shown in fish trajectories might not merely be attributed to the fish’s random choices in its swimming, but could also be a consequence of adaption to the bulk unsteady turbulent flow structures. Simple superposition of a fish trajectory on the time-averaged flow field obtained either by interpolating on discrete point measurements or numerical simulation data is not an ideal method for description of fish movement. How to model the fish paths in transient flow and the necessity of simultaneous recording of the flow field and the fish locomotion are challenging topics. We also discussed the possible integration of currently existing methods to promote the development of fish trajectory modeling.

Suggested Citation

  • Gao Zhu & Zuhao Zhou & Helge I Andersson, 2020. "Role of Transient Characteristics in Fish Trajectory Modeling," Sustainability, MDPI, vol. 12(17), pages 1-15, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:6765-:d:401852
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/17/6765/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/17/6765/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Jager, Henriette I. & DeAngelis, Donald L., 2018. "The confluences of ideas leading to, and the flow of ideas emerging from, individual-based modeling of riverine fishes," Ecological Modelling, Elsevier, vol. 384(C), pages 341-352.
    Full references (including those not matched with items on IDEAS)

    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. Benjamin D. Trump & Christy Foran & Taylor Rycroft & Matthew D. Wood & Nirzwan Bandolin & Mariana Cains & Timothy Cary & Fiona Crocker & Nicholas A. Friedenberg & Patrick Gurian & Kerry Hamilton & Jan, 2018. "Development of community of practice to support quantitative risk assessment for synthetic biology products: contaminant bioremediation and invasive carp control as cases," Environment Systems and Decisions, Springer, vol. 38(4), pages 517-527, December.
    2. Wang, Qianqian & Li, Pengcheng & Zhang, Wenming & Cong, Nan & Xi, Yuqian & Xiao, Lirong & Wang, Yihang & Yao, Weiwei, 2023. "Evaluating the cascade dam construction effects on endemic fish habitat and population status in spawning sites of Lancang River (in Tibet), China," Ecological Modelling, Elsevier, vol. 483(C).
    3. Benson, Thomas & de Bie, Jasper & Gaskell, Jennifer & Vezza, Paolo & Kerr, James R. & Lumbroso, Darren & Owen, Markus R. & Kemp, Paul S., 2021. "Agent-based modelling of juvenile eel migration via selective tidal stream transport," Ecological Modelling, Elsevier, vol. 443(C).
    4. Schmolke, Amelie & Bartell, Steven M. & Roy, Colleen & Green, Nicholas & Galic, Nika & Brain, Richard, 2019. "Species-specific population dynamics and their link to an aquatic food web: A hybrid modeling approach," Ecological Modelling, Elsevier, vol. 405(C), pages 1-14.

    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:gam:jsusta:v:12:y:2020:i:17:p:6765-:d:401852. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.