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dc.contributor.authorWhite, S
dc.contributor.authorPascall, D
dc.contributor.authorWilson, A
dc.date.accessioned2019-11-22T11:57:35Z
dc.date.issued2019-11-26
dc.description.abstractLatent personality traits underpinning observed behavioral variation have been studied in a great many species. However, a lack of standardized behavioral assays, coupled to a common reliance on inferring personality from a single, observed, behavioral trait makes it difficult to determine if, when, and how conclusions can be directly compared across taxa. Here, we estimate the among-individual (co)variance structure (ID) for a set of four behaviors expressed in an open field trial, putatively indicative of boldness, in seven species of small freshwater fish. We show that the ID matrices differ in terms of the total amount of variation present, and crucially the orientation, and as a consequence, biological interpretation of the first eigenvector. Specifically, loading of observed traits on the main axis of variation in ID matched a priori expectations for a shy-bold continuum in only three of the seven cases. Nonetheless, when the ‘shape’ of the matrices was compared in higher dimensions, there was a high level of similarity among species, and weak evidence of phylogenetic signal. Our study highlights the present difficulty of trying to compare empirical inferences about specific personality traits across studies. However, it also shows how multivariate data collection and analysis allows the structure of behavioral variation to be quantitatively compared across populations or species without reliance on ambiguous verbal labels. This suggests that the field may have much to gain from greater uptake of phylogenetically informed comparative approaches when seeking to test evolutionary hypotheses about the origin and maintenance of personality variation.en_GB
dc.description.sponsorshipBiotechnology & Biological Sciences Research Council (BBSRC)en_GB
dc.description.sponsorshipNatural Environment Research Councilen_GB
dc.identifier.citationPublished online 26 November 2019en_GB
dc.identifier.doi10.1093/beheco/arz198
dc.identifier.grantnumberNE/M005070/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/39729
dc.language.isoenen_GB
dc.publisherOxford University Press (OUP) for International Society for Behavioral Ecologyen_GB
dc.rights© The Author(s) 2019. Published by Oxford University Press on behalf of the International Society for Behavioral Ecology. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.titleTowards a comparative approach to the structure of animal personality variationen_GB
dc.typeArticleen_GB
dc.date.available2019-11-22T11:57:35Z
dc.identifier.issn1045-2249
dc.descriptionThis is the final version. Available on open access from Oxford University Press via the DOI in this recorden_GB
dc.identifier.journalBehavioral Ecologyen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-11-07
exeter.funder::Biotechnology & Biological Sciences Research Council (BBSRC)en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-11-07
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-11-22T00:22:07Z
refterms.versionFCDAM
refterms.panelAen_GB


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© The Author(s) 2019. Published by Oxford University Press on behalf of the International Society for Behavioral Ecology.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's licence is described as © The Author(s) 2019. Published by Oxford University Press on behalf of the International Society for Behavioral Ecology. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.