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dc.contributor.authorAntão, Laura H.
dc.contributor.authorMcGill, Brian
dc.contributor.authorMagurran, Anne E.
dc.contributor.authorSoares, Amadeu
dc.contributor.authorDornelas, Maria
dc.date.accessioned2020-01-25T00:34:53Z
dc.date.available2020-01-25T00:34:53Z
dc.date.issued2019-05
dc.identifier.citationAntão , L H , McGill , B , Magurran , A E , Soares , A & Dornelas , M 2019 , ' β-diversity scaling patterns are consistent across metrics and taxa ' , Ecography , vol. 42 , no. 5 , pp. 1012-1023 . https://doi.org/10.1111/ecog.04117en
dc.identifier.issn0906-7590
dc.identifier.otherPURE: 256955198
dc.identifier.otherPURE UUID: 3737621c-e344-4e31-9bdd-c7e89238b50f
dc.identifier.otherRIS: urn:DFDF1AB257456B82350F8BC5B2F77B93
dc.identifier.otherORCID: /0000-0002-0036-2795/work/53548931
dc.identifier.otherScopus: 85060600528
dc.identifier.otherWOS: 000466819000015
dc.identifier.urihttps://hdl.handle.net/10023/19351
dc.descriptionWe thank the University of St Andrews Bioinformatics Unit (Wellcome Trust ISSF grant 105621/Z/14/Z). L.H.A.was supported by Fundação para a Ciência e Tecnologia, Portugal (POPH/FSE SFRH/BD/90469/2012), A.E.M. by the ERC BioTIME (250189) and BioCHANGE (727440), and B.J.M. by USDA Hatch grant to MAFES #1011538 and NSF ABI grant #1660000. The BioTIME database was funded by ERC AdG BioTIME (250189) and ERC PoC BioCHANGE (727440).en
dc.description.abstractβ‐diversity (variation in community composition) is a fundamental component of biodiversity, with implications for macroecology, community ecology and conservation. However, its scaling properties are poorly understood. Here, we systematically assessed the spatial scaling of β‐diversity using 12 empirical large‐scale datasets including different taxonomic groups, by examining two conceptual types of β‐diversity and explicitly considering the turnover and nestedness components. We found highly consistent patterns across datasets. Multiple‐site β‐diversity (i.e. variation across multiple sites) scaling curves were remarkably consistent, with β‐diversity decreasing with sampled area according to a power law. For pairwise dissimilarities, the rates of increase of dissimilarity with geographic distance remained largely constant across scales, while grain size (or scale level) had a stronger effect on overall dissimilarity. In both analyses, turnover was the main contributor to β‐diversity, following total β‐diversity patterns closely, while the nestedness component was largely insensitive to scale changes. Our results highlight the importance of integrating both inter‐ and intraspecific aggregation patterns across spatial scales, which underpin substantial differences in community structure from local to regional scales.
dc.language.isoeng
dc.relation.ispartofEcographyen
dc.rights© 2018 The Authors. Ecography © 2018 Nordic Society Oikos. This work has been made available online in accordance with the publisher's policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1111/ecog.04117en
dc.subjectSpecies compositionen
dc.subjectDissimilarityen
dc.subjectDiversity partitioningen
dc.subjectScale dependenceen
dc.subjectSpatial grainen
dc.subjectQH301 Biologyen
dc.subjectDASen
dc.subject.lccQH301en
dc.titleβ-diversity scaling patterns are consistent across metrics and taxaen
dc.typeJournal articleen
dc.contributor.sponsorThe Wellcome Trusten
dc.contributor.sponsorEuropean Research Councilen
dc.contributor.sponsorEuropean Research Councilen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Centre for Biological Diversityen
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
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. St Andrews Sustainability Instituteen
dc.contributor.institutionUniversity of St Andrews. Fish Behaviour and Biodiversity Research Groupen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.identifier.doihttps://doi.org/10.1111/ecog.04117
dc.description.statusPeer revieweden
dc.date.embargoedUntil2020-01-25
dc.identifier.grantnumber105621/Z/14/Zen
dc.identifier.grantnumber250189en
dc.identifier.grantnumber727440en


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