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dc.contributor.authorNovella-Fernandez, R
dc.contributor.authorJuste, J
dc.contributor.authorIbañez, C
dc.contributor.authorNogueras, J
dc.contributor.authorOsborne, PE
dc.contributor.authorRazgour, O
dc.date.accessioned2022-03-04T10:07:34Z
dc.date.issued2022-02-25
dc.date.updated2022-03-04T09:55:04Z
dc.description.abstractForests are key native habitats in temperate environments. While their structure and composition contribute to shaping local-scale community assembly, their role in driving larger-scale species distributions is understudied. We used detailed forest inventory data, an extensive dataset of occurrence records, and species distribution models integrated with a functional approach, to disentangle mechanistically how species-forest dependency processes drive the regional-scale distributions of nine forest specialist bats in a Mediterranean region in the south of Spain. The regional distribution patterns of forest bats were driven primarily by forest composition and structure rather than by climate. Bat roosting ecology was a key trait explaining the strength of the bat-forest dependency relationships. Tree roosting bats were strongly associated with mature and heterogeneous forest with large trees (diameters > 425 mm). Conversely, and contrary to what local-scale studies show, our results did not support that flight-related traits (wing loading and aspect ratio) drive species distributional patterns. Mediterranean forests are expected to be severely impacted by climate change. This study highlights the utility of disentangling species-environment relationships mechanistically and stresses the need to account for species-forest dependency relationships when assessing the vulnerability of forest specialists towards climate change.en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.identifier.citationVol. 12, article 3224en_GB
dc.identifier.doihttps://doi.org/10.1038/s41598-022-07229-w
dc.identifier.grantnumberNE/M018660/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/128933
dc.identifierORCID: 0000-0003-3186-0313 (Razgour, Orly)
dc.language.isoenen_GB
dc.publisherNature Researchen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/35217783en_GB
dc.relation.urlhttps://www.miteco.gob.es/es/biodiversidad/servicios/banco-datos-naturaleza/informacion-dispo nible/ifn3.aspxen_GB
dc.rights© The Author(s) 2022. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_GB
dc.titleThe role of forest structure and composition in driving the distribution of bats in Mediterranean regionsen_GB
dc.typeArticleen_GB
dc.date.available2022-03-04T10:07:34Z
dc.identifier.issn2045-2322
exeter.article-number3224
exeter.place-of-publicationEngland
dc.descriptionThis is the final version. Available from Nature Research via the DOI in this record. en_GB
dc.descriptionData availability: Bat location records are available as Supplementary data 1. Forest and environmental data are publicly available to download (https://www.miteco.gob.es/es/biodiversidad/servicios/banco-datos-naturaleza/informacion-dispo nible/ifn3.aspx)en_GB
dc.identifier.eissn2045-2322
dc.identifier.journalScientific Reportsen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-02-15
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-02-25
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-03-04T10:03:46Z
refterms.versionFCDVoR
refterms.dateFOA2022-03-04T10:07:52Z
refterms.panelAen_GB
refterms.dateFirstOnline2022-02-25


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© The Author(s) 2022. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International
License, which permits use, sharing, adaptation, distribution and reproduction in any medium or
format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the
Creative Commons licence, and indicate if changes were made. Te images or other third party material in this
article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the
material. If material is not included in the article’s Creative Commons licence and your intended use is not
permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from
the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Except where otherwise noted, this item's licence is described as © The Author(s) 2022. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.