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dc.contributor.authorVellend, Mark
dc.contributor.authorDornelas, Maria
dc.contributor.authorBaeten, Lander
dc.contributor.authorBeauséjour, Robin
dc.contributor.authorBrown, Carissa D.
dc.contributor.authorDe Frenne, Pieter
dc.contributor.authorElmendorf, Sarah C.
dc.contributor.authorGotelli, Nicholas J.
dc.contributor.authorMoyes, Faye
dc.contributor.authorMyers-Smith, Isla H.
dc.contributor.authorMagurran, Anne E.
dc.contributor.authorMcGill, Brian J.
dc.contributor.authorShimadzu, Hideyasu
dc.contributor.authorSievers, Caya
dc.date.accessioned2016-11-21T12:30:13Z
dc.date.available2016-11-21T12:30:13Z
dc.date.issued2017-02
dc.identifier.citationVellend , M , Dornelas , M , Baeten , L , Beauséjour , R , Brown , C D , De Frenne , P , Elmendorf , S C , Gotelli , N J , Moyes , F , Myers-Smith , I H , Magurran , A E , McGill , B J , Shimadzu , H & Sievers , C 2017 , ' Estimates of local biodiversity change over time stand up to scrutiny ' , Ecology , vol. 98 , no. 2 , pp. 583-590 . https://doi.org/10.1002/ecy.1660en
dc.identifier.issn1939-9170
dc.identifier.otherPURE: 247837696
dc.identifier.otherPURE UUID: 7b3c385b-d827-4f76-8e36-fa1dda788965
dc.identifier.otherBibtex: urn:b30da9c6b06059c9df12a070dcbaa7ad
dc.identifier.otherScopus: 85010378825
dc.identifier.otherORCID: /0000-0002-0036-2795/work/43550277
dc.identifier.otherORCID: /0000-0001-9687-0593/work/34523492
dc.identifier.otherWOS: 000393375700029
dc.identifier.urihttps://hdl.handle.net/10023/9857
dc.description.abstractWe present new data and analyses revealing fundamental flaws in a critique of two recent meta-analyses of local-scale temporal biodiversity change. First, the conclusion that short-term time series lead to biased estimates of long-term change was based on two errors in the simulations used to support it. Second, the conclusion of negative relationships between temporal biodiversity change and study duration was entirely dependent on unrealistic model assumptions, the use of a subset of data, and inclusion of one outlier data point in one study. Third, the finding of a decline in local biodiversity, after eliminating post-disturbance studies, is not robust to alternative analyses on the original dataset, and is absent in a larger, updated dataset. Finally, the undebatable point – noted in both original papers – that studies in the ecological literature are geographically biased, was used to cast doubt on the conclusion that, outside of areas converted to croplands or asphalt, the distribution of biodiversity trends is centered approximately on zero. Future studies may modify conclusions, but at present, alternative conclusions based on the geographic-bias argument rely on speculation. In sum, the critique raises points of uncertainty typical of all ecological studies, but does not provide an evidence-based alternative interpretation.
dc.format.extent8
dc.language.isoeng
dc.relation.ispartofEcologyen
dc.rights© 2016, Ecological Society of America. 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 may differ slightly from the final published version. The final published version of this work is available at onlinelibrary.wiley.com / https://doi.org/10.1002/ecy.1660en
dc.subjectBiodiversityen
dc.subjectMeta-analysisen
dc.subjectSpecies richnessen
dc.subjectTemporal changeen
dc.subjectGE Environmental Sciencesen
dc.subjectQH301 Biologyen
dc.subjectDASen
dc.subject.lccGEen
dc.subject.lccQH301en
dc.titleEstimates of local biodiversity change over time stand up to scrutinyen
dc.typeJournal articleen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
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.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.identifier.doihttps://doi.org/10.1002/ecy.1660
dc.description.statusPeer revieweden
dc.identifier.urlhttp://onlinelibrary.wiley.com/doi/10.1002/ecy.1660/suppinfoen


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