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dc.contributor.authorMagurran, Anne E.
dc.contributor.authorDornelas, Maria
dc.contributor.authorMoyes, Faye
dc.contributor.authorHenderson, Peter A.
dc.date.accessioned2020-11-10T00:38:23Z
dc.date.available2020-11-10T00:38:23Z
dc.date.issued2019-11-10
dc.identifier.citationMagurran , A E , Dornelas , M , Moyes , F & Henderson , P A 2019 , ' Temporal β diversity—a macroecological perspective ' , Global Ecology and Biogeography , vol. Early View . https://doi.org/10.1111/geb.13026en
dc.identifier.issn1466-822X
dc.identifier.otherPURE: 263192031
dc.identifier.otherPURE UUID: 5a7b03fe-e5cb-4f14-a05d-5ec57840517c
dc.identifier.otherRIS: urn:6171342D2E80B23D25B9F6859F4D2D7C
dc.identifier.otherORCID: /0000-0002-0036-2795/work/64697683
dc.identifier.otherORCID: /0000-0001-9687-0593/work/64697905
dc.identifier.otherScopus: 85075068740
dc.identifier.otherWOS: 000495357800001
dc.identifier.urihttps://hdl.handle.net/10023/20937
dc.descriptionAuthors acknowledge the following funding: European Research Council (ERC) Advanced Grant (AdG) BioTIME (250198) and ERC Proof of Concept (PoC) BioCHANGE (727440) to AEM.en
dc.description.abstractIssue Biodiversity change, that is how the taxonomic identities and abundances of species in ecological systems are changing over time, has two facets: temporal α diversity and temporal β diversity. To date, temporal α diversity has received most attention even though compositional shifts in assemblages exceed expectations based on ecological theory. Growing concern about the state of the world’s biodiversity highlights the need for better understanding of the extent, and consequences, of compositional reorganization in ecological systems. Challenges Most methods of measuring β diversity have been developed in a spatial context. We discuss the additional challenges involved in the assessment of temporal change, summarize existing methodological approaches, highlight the importance of establishing relevant baselines, and identify the need for appropriate null models of temporal β diversity. Given considerable potential for research on the macroecology of temporal β diversity we suggest future directions and challenges. Conclusions Although data availability remains the main impediment to improved quantification of temporal β diversity at macroecological scales, there are substantial opportunities for improved methodology and theory. Taxonomic β diversity has received most attention, but other dimensions of diversity, including functional and phylogenetic, should be part of integrated assessments of biodiversity change. Future approaches need to be ecologically meaningful and interpretable as well as statistically robust.
dc.language.isoeng
dc.relation.ispartofGlobal Ecology and Biogeographyen
dc.rightsCopyright © 2019 John Wiley & Sons Ltd. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1111/geb.13026en
dc.subjectAnthropoceneen
dc.subjectBaseline changeen
dc.subjectBiodiversity theoryen
dc.subjectBiogeographyen
dc.subjectCompositional shiftsen
dc.subjectNull modelsen
dc.subjectRichnessen
dc.subjectTemporal α diversityen
dc.subjectTemporal β diversityen
dc.subjectTemporal turnoveren
dc.subjectQH301 Biologyen
dc.subjectDASen
dc.subject.lccQH301en
dc.titleTemporal β diversity—a macroecological perspectiveen
dc.typeJournal articleen
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. 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. Centre for Research into Ecological & Environmental Modellingen
dc.contributor.institutionUniversity of St Andrews. Fish Behaviour and Biodiversity Research Groupen
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.identifier.doihttps://doi.org/10.1111/geb.13026
dc.description.statusPeer revieweden
dc.date.embargoedUntil2020-11-10
dc.identifier.grantnumber250189en
dc.identifier.grantnumber727440en


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