Wild, S orcid.org/0000-0002-5904-0096, Allen, SJ, Krützen, M et al. (3 more authors) (2019) Multi-network-based diffusion analysis reveals vertical cultural transmission of sponge tool use within dolphin matrilines. Biology letters, 15 (7). p. 20190227. ISSN 1744-9561
Abstract
Behavioural differences among social groups can arise from differing ecological conditions, genetic predispositions and/or social learning. In the past, social learning has typically been inferred as responsible for the spread of behaviour by the exclusion of ecological and genetic factors. This 'method of exclusion' was used to infer that 'sponging', a foraging behaviour involving tool use in the bottlenose dolphin (Tursiops aduncus) population in Shark Bay, Western Australia, was socially transmitted. However, previous studies were limited in that they never fully accounted for alternative factors, and that social learning, ecology and genetics are not mutually exclusive in causing behavioural variation. Here, we quantified the importance of social learning on the diffusion of sponging, for the first time explicitly accounting for ecological and genetic factors, using a multi-network version of 'network-based diffusion analysis'. Our results provide compelling support for previous findings that sponging is vertically socially transmitted from mother to (primarily female) offspring. This research illustrates the utility of social network analysis in elucidating the explanatory mechanisms behind the transmission of behaviour in wild animal populations.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2019 The Author(s) Published by the Royal Society. All rights reserved. This is an author produced version of a paper published in Biology Letters. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | tool use; culture; sponging; dolphins; network-based diffusion analysis; social learning |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Biological Sciences (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 25 Jul 2019 10:47 |
Last Modified: | 25 Jun 2023 21:55 |
Status: | Published |
Publisher: | The Royal Society |
Identification Number: | 10.1098/rsbl.2019.0227 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:148873 |