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dc.contributor.authorBoogert, Neeltje Janna
dc.contributor.authorNightingale, Glenna Faith
dc.contributor.authorHoppitt, William John Edward
dc.contributor.authorLaland, Kevin Neville
dc.date.accessioned2015-09-18T14:40:01Z
dc.date.available2015-09-18T14:40:01Z
dc.date.issued2014-11
dc.identifier.citationBoogert , N J , Nightingale , G F , Hoppitt , W J E & Laland , K N 2014 , ' Perching but not foraging networks predict the spread of novel foraging skills in starlings ' , Behavioural Processes , vol. 109 , no. Part B , pp. 135-44 . https://doi.org/10.1016/j.beproc.2014.08.016en
dc.identifier.issn0376-6357
dc.identifier.otherPURE: 159574055
dc.identifier.otherPURE UUID: 6bbd85bd-1f97-41ce-9f21-7b1f4494306d
dc.identifier.otherPubMed: 25178191
dc.identifier.otherWOS: 000347742900005
dc.identifier.otherScopus: 84912122595
dc.identifier.otherORCID: /0000-0002-2457-0900/work/60630433
dc.identifier.urihttps://hdl.handle.net/10023/7505
dc.descriptionThis research was supported by a Netherlands Organisation for Scientific Research Rubicon Grant to NJB, a BBSRC grant to KNL and WH (BB/D015812/1), and an ERC Advanced grant to KNL (EVOCULTURE, ref 232823).en
dc.description.abstractThe directed social learning hypothesis suggests that information does not spread evenly through animal groups, but rather individual characteristics and patterns of physical proximity guide the social transmission of information along specific pathways. Network-based diffusion analysis (NBDA) allows researchers to test whether information spreads following a social network. However, the explanatory power of different social networks has rarely been compared, and current models do not easily accommodate random effects (e.g. allowing for individuals within groups to correlate in their asocial solving rates). We tested whether the spread of two novel foraging skills through captive starling groups was affected by individual- and group-level random and fixed effects (i.e. sex, age, body condition, dominance rank and demonstrator status) and perching or foraging networks. We extended NBDA to include random effects and conducted model discrimination in a Bayesian context. We found that social learning increased the rate at which birds acquired the novel foraging task solutions by 6.67 times, and acquiring one of the two novel foraging task solutions facilitated the asocial acquisition of the other. Surprisingly, the spread of task solutions followed the perching rather than the foraging social network. Upon acquiring a task solution, foraging performance was facilitated by the presence of group mates. Our results highlight the importance of considering more than one social network when predicting the spread of information through animal groups. This article is part of a Special Issue entitled: Cognition in the wild.
dc.format.extent10
dc.language.isoeng
dc.relation.ispartofBehavioural Processesen
dc.rightsCopyright © 2014 Elsevier B.V. All rights reserved. This work is made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://dx.doi.org/10.1016/j.beproc.2014.08.016en
dc.subjectDominanceen
dc.subjectForagingen
dc.subjectNetwork-based diffusion analysisen
dc.subjectNBDAen
dc.subjectSocial learningen
dc.subjectStarlingsen
dc.subjectQH301 Biologyen
dc.subjectQL Zoologyen
dc.subject.lccQH301en
dc.subject.lccQLen
dc.titlePerching but not foraging networks predict the spread of novel foraging skills in starlingsen
dc.typeJournal articleen
dc.contributor.sponsorBBSRCen
dc.contributor.sponsorEuropean Research Councilen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. Geography & Sustainable Developmenten
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. Institute of Behavioural and Neural Sciencesen
dc.contributor.institutionUniversity of St Andrews. Centre for Social Learning & Cognitive Evolutionen
dc.contributor.institutionUniversity of St Andrews. Centre for Biological Diversityen
dc.identifier.doihttps://doi.org/10.1016/j.beproc.2014.08.016
dc.description.statusPeer revieweden
dc.date.embargoedUntil2015-08-29
dc.identifier.grantnumberBB/D015812/1en
dc.identifier.grantnumberen


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