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Cited by 176

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Learning of foraging skills by fish

Warburton, Kevin·2003·Fish and Fisheries

Abstract

This chapter outlines the relationships between a number of key factors that influence learning and memory, and illustrates them by reference to studies on the foraging behaviour of fish. Learning can lead to significant improvements in foraging performance in only a few exposures, and at least some fish species are capable of adjusting their foraging strategy as patterns of patch profitability change. There is also evidence that the memory window for prey varies between fish species, and that this may be a function of environmental predictability. Convergence between behavioural ecology and comparative psychology offers promise in terms of developing more mechanistically realistic foraging models and explaining apparently ‘suboptimal’ patterns of behaviour. Foraging decisions involve the interplay between several distinct systems of learning and memory, including those that relate to habitat, food patches, prey types, conspecifics and predators. Fish biologists, therefore, face an interesting challenge in developing integrated accounts of fish foraging that explain how cognitive sophistication can help individual animals to deal with the complexity of the ecological context.

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Crossref · 10.1046/j.1467-2979.2003.00125.x

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Metadata

Authors
Warburton, K.
Venue
Fish and Fisheries
Publisher
Wiley
Published
2003-08-12
Volume
4
Issue
3
Pages
203-215
ISSN
  • 1467-2960 (ISSN-L)
  • 1467-2979
OpenAlex
W1968126165
Cited by
176
References
2
FWCI
9.27
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Learning of foraging skills by fish. https://app.cochat.ai/papers/10.1046/j.1467-2979.2003.00125.x
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Warburton, K. (2003). Learning of foraging skills by fish. Fish and Fisheries. https://doi.org/10.1046/j.1467-2979.2003.00125.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.