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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Blackwell Publishing
2003
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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 |
_version_ |
1766362975963185152 |