The effect of avoidance behavior on predicting fish passage rates through water diversion structures
Authored by Bertrand H Lemasson, James W Haefner, Mark D Bowen
Date Published: 2008
DOI: 10.1016/j.ecolmodel.2008.08.013
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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.
While the danger-minimizing model adequately captured the range of
swimming behavior, it underestimated swimming exertion and the time
exposed to the barrier. The random avoidance model produced
significantly higher passage rates compared to the danger-minimizing
model, yet it also resulted in a significant rise in oxygen consumption
rate. Given departures between predicted and observed swimming behaviors
we included an a Posteriori evaluation of adding behavioral complexity
to the movement rules. These evaluations demonstrated that positive
system level predictions of high passage rates can obscure significant
differences in individual level energetic costs. Our study emphasizes
the value of examining multiple models at the individual level when
extrapolating to the population level effects of fish encountering
artificial barriers. (C) 2008 Elsevier B.V. All rights reserved.
Tags
Performance
protection
Ecosystem
River
Chinook salmon
Trout oncorhynchus-mykiss
Delayed mortality
Stream
fishes
Dams
Downstream