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Abstract
Whether learning primarily reflects general processes or species-specific challenges is a long-standing matter of dispute. Here, we present a comprehensive analysis of public information use (PI-use) in sticklebacks (Gasterosteidae). PI-use is a form of social learning by which animals are able to assess the relative quality of resources, here prey patches, by observing the behaviour of others. PI-use was highly specific with only Pungitius and their closest relative Culaea inconstans showing evidence of PI-use. We saw no effects of ontogenetic experience upon PI-use in Pungitius pungitius. Experiments with live demonstrators and animated fish revealed that heightened activity and feeding strikes by foraging conspecifics are important cues in the transmission of PI. Finally, PI-use was the only form of learning in which P. pungitius and another stickleback, Gasterosteus aculeatus differed. PI-use in sticklebacks is species-specific and may represent an ‘ecological specialization’ for social foraging. Whether this reflects selection on perception, attentional or cognitive processes remains to be determined.
Original language | English |
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Article number | 181735 |
Number of pages | 24 |
Journal | Royal Society Open Science |
Volume | 6 |
Issue number | 2 |
DOIs | |
Publication status | Published - 20 Feb 2019 |
Keywords
- Social learning
- Social information
- Foraging
- Cognition
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Dive into the research topics of 'A four-questions perspective on public information use in sticklebacks (Gasterosteidae)'. Together they form a unique fingerprint.Projects
- 2 Finished
Profiles
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Michael Munro Webster
- School of Biology - Senior Lecturer
- Centre for Biological Diversity
- Institute of Behavioural and Neural Sciences
- Centre for Social Learning & Cognitive Evolution
Person: Academic - Teaching
Datasets
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Data from: A four-questions perspective on public information use in sticklebacks (Gasterosteidae)
Webster, M. M. (Creator), Chouinard-Thuly, L. (Creator), Herczeg, G. (Creator), Kitano, J. (Creator), Riley, R. J. (Creator), Shapiro, M. D. (Creator), Shikano, T. (Creator) & Laland, K. N. (Creator), Dryad, 10 Jan 2019
Dataset