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Adaptive Flexibility in the Foraging Behavior of Fishes

Dill, Lawrence M.·1983·Canadian Journal of Fisheries and Aquatic Sciences

Abstract

Flexibility is an important adaptive feature of the foraging behavior of fishes, because most natural environments vary both spatially and temporally. Fish should respond to low levels of food availability by altering their behavior in ways which ensure higher feeding rates, larger feeding territories, and broader diets. It is shown that the gastric sensation of hunger and its rate of change may act as appropriate cues to food availability, and observed hunger-motivated changes in feeding behavior can produce all of these predicted effects. Data are presented to show that juvenile coho salmon (Oncorhynchus kisutch) alter their behavior in an adaptive manner when faced with variable degrees of threat of competition from territorial intruders, and of risk of predation. A review of similar studies on other species supports the generality of these results. Learning is an important mechanism providing behavioral flexibility, and changes in fish feeding behavior with experience are summarized. A graphical model is developed to show that these changes can result in training biases and food specialization. Learning also results in increased feeding rates. The consequences of these observations for the development of refined models of foraging are discussed.

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Metadata

Authors
Dill, L. M.
Venue
Canadian Journal of Fisheries and Aquatic Sciences
Published
1983-04-01
Volume
40
Issue
4
Pages
398-408
ISSN
  • 0706-652X (ISSN-L)
  • 1205-7533
OpenAlex
W1991430962
Cited by
494
References
0
FWCI
29.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Adaptive Flexibility in the Foraging Behavior of Fishes. https://app.cochat.ai/papers/10.1139/f83-058
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Dill, L. M. (1983). Adaptive Flexibility in the Foraging Behavior of Fishes. Canadian Journal of Fisheries and Aquatic Sciences. https://doi.org/10.1139/f83-058

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.