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dc.contributor.authorRazgour, O
dc.contributor.authorMontauban, C
dc.contributor.authorFesta, F
dc.contributor.authorWhitby, D
dc.contributor.authorJuste, J
dc.contributor.authorIbáñez, C
dc.contributor.authorRebelo, H
dc.contributor.authorAfonso, S
dc.contributor.authorBekaert, M
dc.contributor.authorJones, G
dc.contributor.authorWilliams, C
dc.contributor.authorBoughey, K
dc.date.accessioned2023-11-02T10:05:38Z
dc.date.issued2023-12-13
dc.date.updated2023-11-01T22:17:50Z
dc.description.abstract1. Anthropogenically-driven environmental changes over recent centuries have led to severe declines of wildlife populations. Better tools are needed to assess the magnitude and consequences of these declines. Anecdotal evidence suggests European bat populations have suffered substantial declines in the past centuries. However, there is little empirical evidence of these declines that can be used to put more recent population trends into historic context. 2. This study is a collaboration between academics and conservation practitioners to develop molecular approaches capable of providing evidence of historic population changes that can inform conservation status assessments and management. We generated a genomic dataset of 46,872 SNPs for the Western barbastelle, Barbastella barbastellus, a regionally Vulnerable bat species, including colonies from across the species’ British and Iberian ranges. We used a combination of landscape genetics and model-based inference of demographic history to identify both evidence of population size changes and possible drivers of these changes. 3. Levels of genetic diversity increased and inbreeding decreased with increasing broadleaf woodland cover around the colony. Genetic connectivity was impeded by artificial lights and facilitated by rivers and broadleaf woodland cover. 4. The demographic history analysis showed that both the northern and southern British barbastelle populations have declined by 99% over the past 330-548 years. These declines may be linked to loss of large oak trees and native woodlands due to shipbuilding during the early colonial period. 5. Synthesis and applications. Genomic approaches can provide a better understanding of the conservation status of threatened species, within historic and contemporary context, and inform their conservation management. Our findings of will directly influence the definition of the Favourable Conservation Status of the barbastelle, in turn influencing considerations of the conservation of the species in development plans. Knowledge gained will also help set species recovery targets. Policy makers are interested in using our approach for other species. This study shows how we can bridge the implementation gap between genomic research and direct conservation applications. There is an urgent need to carry out such collaborative studies for other priority species to enable informed species recovery interventions via policy mechanisms and project delivery.en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.description.sponsorshipChapman Charitable Trusten_GB
dc.identifier.citationVol. 61 (1), pp. 160-172en_GB
dc.identifier.doi10.1111/1365-2664.14540
dc.identifier.grantnumberNE/M018660en_GB
dc.identifier.urihttp://hdl.handle.net/10871/134394
dc.identifierORCID: 0000-0003-3186-0313 (Razgour, Orly)
dc.language.isoenen_GB
dc.publisherWiley / British Ecological Societyen_GB
dc.relation.urlhttps://www.ebi.ac.uk/ena/browser/view/PRJEB61793en_GB
dc.relation.urlhttps://doi.org/10.5061/dryad.wstqjq2qden_GB
dc.rights© 2023 The Authors. Journal of Applied Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society. 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.
dc.subjectBiodiversity lossen_GB
dc.subjectChiropteraen_GB
dc.subjectConservation genomicsen_GB
dc.subjectDemographic historyen_GB
dc.subjectLandscape geneticsen_GB
dc.subjectLand use changeen_GB
dc.titleApplying genomic approaches to identify historic population declines in European forest batsen_GB
dc.typeArticleen_GB
dc.date.available2023-11-02T10:05:38Z
dc.identifier.issn1365-2664
dc.descriptionThis is the final version. Available on open access from Wiley via the DOI in this recorden_GB
dc.descriptionData Availability: Raw sequencing reads of all libraries are available from EBI/ENA via the project PRJEB61793: https://www.ebi.ac.uk/ena/browser/view/PRJEB61793 (Institute of Aquaculture, 2023). Study locations are presented in Table 1. SNP datasets in vcf format are available via the Dryad Digital Repository: https://doi.org/10.5061/dryad.wstqjq2qd (Razgour, 2023).en_GB
dc.identifier.journalJournal of Applied Ecologyen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2023-10-19
dcterms.dateSubmitted2022-10-10
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-10-19
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-11-01T22:17:57Z
refterms.versionFCDAM
refterms.dateFOA2024-01-17T16:07:23Z
refterms.panelAen_GB


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© 2023 The Authors. Journal of Applied Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society. 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.
Except where otherwise noted, this item's licence is described as © 2023 The Authors. Journal of Applied Ecology published by John Wiley & Sons Ltd on behalf of British Ecological Society. 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.