Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/21974
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dc.contributor.authorRazgour, Orly-
dc.date.accessioned2016-01-18T23:49:04Z-
dc.date.issued2015-11-
dc.identifier.urihttp://hdl.handle.net/1893/21974-
dc.description.abstractUnderstanding how biodiversity will respond to future climate change is a major conservation and societal challenge. Climate change is predicted to force many species to shift their ranges in pursuit of suitable conditions. This study aims to use landscape genetics, the study of the effects of environmental heterogeneity on the spatial distribution of genetic variation, as a predictive tool to assess how species will shift their ranges to track climatic changes and inform conservation measures that will facilitate movement. The approach is based on three steps: 1) using Species Distribution Models (SDMs) to predict suitable ranges under future climate change, 2) using the landscape genetics framework to identify landscape variables that impede or facilitate movement, and 3) extrapolating the effect of landscape connectivity on range shifts in response to future climate change. I show how this approach can be implemented using the publicly available genetic dataset of the grey long-eared bat,Plecotus austriacus, in the Iberian Peninsula. Forest cover gradient was the main landscape variable affecting genetic connectivity between colonies. Forest availability is likely to limit future range shifts in response to climate change, primarily over the central plateau, but important range shift pathways have been identified along the eastern and western coasts. I provide outputs that can be directly used by conservation managers and review the viability of the approach. Using landscape genetics as a predictive tool in combination with SDMs enables the identification of potential pathways, whose loss can affect the ability of species to shift their range into future climatically suitable areas, and the appropriate conservation management measures to increase landscape connectivity and facilitate movement.en_UK
dc.language.isoen-
dc.publisherElsevier-
dc.relationRazgour O (2015) Beyond species distribution modelling: A landscape genetics approach to investigating range shifts under future climate change, Ecological Informatics, 30, pp. 250-256.-
dc.rightsThis item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. Accepted refereed manuscript of: Razgour O (2015) Beyond species distribution modelling: A landscape genetics approach to investigating range shifts under future climate change, Ecological Informatics, 30, pp. 250-256. DOI: 10.1016/j.ecoinf.2015.05.007 © 2015, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subjectChiropteraen_UK
dc.subjectClimate Changeen_UK
dc.subjectEcological Niche Modellingen_UK
dc.subjectGenetic Connectivityen_UK
dc.subjectLandscape Connectivityen_UK
dc.subjectPlecotus austriacusen_UK
dc.titleBeyond species distribution modelling: A landscape genetics approach to investigating range shifts under future climate changeen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate2016-11-30T00:00:00Z-
dc.rights.embargoreasonPublisher requires embargo of 12 months after formal publication.-
dc.identifier.doihttp://dx.doi.org/10.1016/j.ecoinf.2015.05.007-
dc.citation.jtitleEcological Informatics-
dc.citation.issn1574-9541-
dc.citation.volume30-
dc.citation.spage250-
dc.citation.epage256-
dc.citation.publicationstatusPublished-
dc.citation.peerreviewedRefereed-
dc.type.statusPost-print (author final draft post-refereeing)-
dc.author.emailOrly.Razgour@gmail.com-
dc.citation.date05/06/2015-
dc.contributor.affiliationBiological and Environmental Sciences-
dc.rights.embargoterms2016-12-01-
dc.rights.embargoliftdate2016-12-01-
dc.identifier.isi000366876400031-
Appears in Collections:Biological and Environmental Sciences Journal Articles

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