Learning of foraging skills by fish

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...

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Published in:Fish and Fisheries
Main Author: Warburton, K.
Other Authors: P. Hart, Pitcher T.
Format: Article in Journal/Newspaper
Language:English
Published: Blackwell Publishing 2003
Subjects:
C1
Online Access:https://espace.library.uq.edu.au/view/UQ:69271
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spelling ftunivqespace:oai:espace.library.uq.edu.au:UQ:69271 2023-05-15T15:32:29+02:00 Learning of foraging skills by fish Warburton, K. P. Hart Pitcher T. 2003-01-01 https://espace.library.uq.edu.au/view/UQ:69271 eng eng Blackwell Publishing doi:10.1046/j.1467-2979.2003.00125.x issn:1467-2960 Fisheries Attention Competition Fish Foraging Forgetting Matching Spinachia-spinachia L Juvenile Atlantic Salmon 15-spined Stickleback Feeding-behavior Oncorhynchus-mykiss Bluegill Sunfish Rainbow-trout Brown Trout Individual Variation Retinal Topography 270599 Zoology not elsewhere classified C1 780108 Behavioural and cognitive sciences Journal Article 2003 ftunivqespace https://doi.org/10.1046/j.1467-2979.2003.00125.x 2020-12-07T23:22:57Z 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. Article in Journal/Newspaper Atlantic salmon The University of Queensland: UQ eSpace Fish and Fisheries 4 3 203 215
institution Open Polar
collection The University of Queensland: UQ eSpace
op_collection_id ftunivqespace
language English
topic Fisheries
Attention
Competition
Fish
Foraging
Forgetting
Matching
Spinachia-spinachia L
Juvenile Atlantic Salmon
15-spined Stickleback
Feeding-behavior
Oncorhynchus-mykiss
Bluegill Sunfish
Rainbow-trout
Brown Trout
Individual Variation
Retinal Topography
270599 Zoology not elsewhere classified
C1
780108 Behavioural and cognitive sciences
spellingShingle Fisheries
Attention
Competition
Fish
Foraging
Forgetting
Matching
Spinachia-spinachia L
Juvenile Atlantic Salmon
15-spined Stickleback
Feeding-behavior
Oncorhynchus-mykiss
Bluegill Sunfish
Rainbow-trout
Brown Trout
Individual Variation
Retinal Topography
270599 Zoology not elsewhere classified
C1
780108 Behavioural and cognitive sciences
Warburton, K.
Learning of foraging skills by fish
topic_facet Fisheries
Attention
Competition
Fish
Foraging
Forgetting
Matching
Spinachia-spinachia L
Juvenile Atlantic Salmon
15-spined Stickleback
Feeding-behavior
Oncorhynchus-mykiss
Bluegill Sunfish
Rainbow-trout
Brown Trout
Individual Variation
Retinal Topography
270599 Zoology not elsewhere classified
C1
780108 Behavioural and cognitive sciences
description 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.
author2 P. Hart
Pitcher T.
format Article in Journal/Newspaper
author Warburton, K.
author_facet Warburton, K.
author_sort Warburton, K.
title Learning of foraging skills by fish
title_short Learning of foraging skills by fish
title_full Learning of foraging skills by fish
title_fullStr Learning of foraging skills by fish
title_full_unstemmed Learning of foraging skills by fish
title_sort learning of foraging skills by fish
publisher Blackwell Publishing
publishDate 2003
url https://espace.library.uq.edu.au/view/UQ:69271
genre Atlantic salmon
genre_facet Atlantic salmon
op_relation doi:10.1046/j.1467-2979.2003.00125.x
issn:1467-2960
op_doi https://doi.org/10.1046/j.1467-2979.2003.00125.x
container_title Fish and Fisheries
container_volume 4
container_issue 3
container_start_page 203
op_container_end_page 215
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