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A trait-based approach for predicting species responses to environmental change from sparse data : how well might terrestrial mammals track climate change?

dc.contributor.authorSantini, Luca
dc.contributor.authorCornulier, Thomas
dc.contributor.authorBullock, James M.
dc.contributor.authorPalmer, Stephen C. F.
dc.contributor.authorWhite, Steven M.
dc.contributor.authorHodgson, Jenny A.
dc.contributor.authorBocedi, Greta
dc.contributor.authorTravis, Justin M. J.
dc.date.accessioned2016-06-03T11:40:02Z
dc.date.available2016-06-03T11:40:02Z
dc.date.issued2016-07
dc.identifier.citationSantini , L , Cornulier , T , Bullock , J M , Palmer , S C F , White , S M , Hodgson , J A , Bocedi , G & Travis , J M J 2016 , ' A trait-based approach for predicting species responses to environmental change from sparse data : how well might terrestrial mammals track climate change? ' , Global Change Biology , vol. 22 , no. 7 , pp. 2415-2424 . https://doi.org/10.1111/gcb.13271en
dc.identifier.issn1354-1013
dc.identifier.otherPURE: 63415727
dc.identifier.otherPURE UUID: 37039473-a4a1-40e0-9420-23b6abe36a29
dc.identifier.otherPubMed: 27073017
dc.identifier.otherPubMed: 27073017
dc.identifier.otherScopus: 85027958916
dc.identifier.urihttp://hdl.handle.net/2164/6062
dc.descriptionAcknowledgements LS was supported by two STSMs by the COST Action ES1101 ”Harmonising Global Biodiversity Modelling“ (Harmbio), supported by COST (European Cooperation in Science and Technology). JMB and SMW were funded by CEH projects NEC05264 and NEC05100. JMJT and SCFP are grateful for the support of the Natural Environment Research Council UK (NE/J008001/1). LS, JAH and JMJT conceived the original idea. LS, JAH, JMB, TC & JMJT designed the study; LS collected the data; LS and TC performed the statistical analyses; LS conducted the integrodifference modelling assisted by JMB and SMW. LS conducted the individual-based modelling assisted by SCFP. LS led the writing supported by JMJT, JMB, SCFP, SMW, TC, JAH and GB.en
dc.format.extent10
dc.language.isoeng
dc.relation.ispartofGlobal Change Biologyen
dc.rights© 2016 The Authors. Global Change Biology Published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. https://creativecommons.org/licenses/by/4.0/en
dc.subjectSDG 13 - Climate Actionen
dc.subjectSDG 15 - Life on Landen
dc.subjectclimate change velocityen
dc.subjectdemographic modelsen
dc.subjectdispersalen
dc.subjectintegrodifference equationsen
dc.subjectlife-history traitsen
dc.subjectpopulation spread rateen
dc.subjectrange shiften
dc.subjectrangeShifteren
dc.subjecttrait spaceen
dc.subjectvirtual speciesen
dc.subjectQH301 Biologyen
dc.subjectNatural Environment Research Council (NERC)en
dc.subjectNE/J008001/1en
dc.subject.lccQH301en
dc.titleA trait-based approach for predicting species responses to environmental change from sparse data : how well might terrestrial mammals track climate change?en
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Institute of Biological & Environmental Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Medical Statisticsen
dc.contributor.institutionUniversity of Aberdeen.Marine Alliance for Science and Technology for Scotland (MASTS)en
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1111/gcb.13271
dc.identifier.vol22en
dc.identifier.iss7en


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