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The effect of avoidance behavior on predicting fish passage rates through water diversion structures

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  • Lemasson, Bertrand H.
  • Haefner, James W.
  • Bowen, Mark D.

Abstract

Conserving fish populations within lotic ecosystems requires an understanding of the mechanisms that impede fish movement through a river. For rivers with diversions, negative fish population effects are ameliorated by barriers whose effectiveness is based on individual fish avoidance responses. Here, we evaluate two alternative avoidance models using new algorithms and videotape analyses. We tested the effects of a directed “danger-minimizing” behavior compared to “random avoidance” on predictions of fish passage rates at water diversion facilities using individual-based models. Validation data were collected using a two-dimensional analysis of fish swimming behavior in a small-scale channel with a louver diversion barrier.

Suggested Citation

  • Lemasson, Bertrand H. & Haefner, James W. & Bowen, Mark D., 2008. "The effect of avoidance behavior on predicting fish passage rates through water diversion structures," Ecological Modelling, Elsevier, vol. 219(1), pages 178-188.
    • Handle: RePEc:eee:ecomod:v:219:y:2008:i:1:p:178-188
    DOI: 10.1016/j.ecolmodel.2008.08.013
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    Cited by:

    1. Zielinski, D.P. & Hondzo, M. & Voller, V.R., 2014. "Mathematical evaluation of behavioral deterrent systems to disrupt fish movement," Ecological Modelling, Elsevier, vol. 272(C), pages 150-159.
    2. Willis, Jay, 2011. "Modelling swimming aquatic animals in hydrodynamic models," Ecological Modelling, Elsevier, vol. 222(23), pages 3869-3887.

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