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

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

Ecological Modelling, 2008, vol. 219, issue 1, 178-188

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.

Keywords: Fish movement; Behavioral algorithms; Water diversions; IBM validation; Louvers (search for similar items in EconPapers)
Date: 2008
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:219:y:2008:i:1:p:178-188

DOI: 10.1016/j.ecolmodel.2008.08.013

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