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dc.contributor.authorSalces-Castellano, Antoniaes_ES
dc.contributor.authorStankowski, Seanes_ES
dc.contributor.authorArribas, Paulaes_ES
dc.contributor.authorPatiño, Jairoes_ES
dc.contributor.authorKarger, Dirk N.es_ES
dc.contributor.authorButlin, Rogeres_ES
dc.contributor.authorEmerson, Brent C.es_ES
dc.date.accessioned2020-11-27T14:40:33Z-
dc.date.available2020-11-27T14:40:33Z-
dc.date.issued2021-02-
dc.identifier.citationEvolution 75(2): 231-244 (2021)es_ES
dc.identifier.issn0014-3820-
dc.identifier.urihttp://hdl.handle.net/10261/223937-
dc.description.abstractMontane cloud forests are areas of high endemism, and are one of the more vulnerable terrestrial ecosystems to climate change. Thus, understanding how they both contribute to the generation of biodiversity, and will respond to ongoing climate change, are important and related challenges. The widely accepted model for montane cloud forest dynamics involves upslope forcing of their range limits with global climate warming. However, limited climate data provides some support for an alternative model, where range limits are forced downslope with climate warming. Testing between these two models is challenging, due to the inherent limitations of climate and pollen records. We overcome this with an alternative source of historical information, testing between competing model predictions using genomic data and demographic analyses for a species of beetle tightly associated to an oceanic island cloud forest. Results unequivocally support the alternative model: populations that were isolated at higher elevation peaks during the Last Glacial Maximum are now in contact and hybridizing at lower elevations. Our results suggest that genomic data are a rich source of information to further understand how montane cloud forest biodiversity originates, and how it is likely to be impacted by ongoing climate change.es_ES
dc.description.sponsorshipThis work was financed by the Spanish Agencia Estatal de Investigación (CGL2017‐85718‐P), awarded to BCE, and co‐financed by FEDER. It was also supported by the Spanish Ministerio de Ciencia, Innovación y Universidades (EQC2018‐004418‐P), awarded to BCE. AS‐C was funded by the Spanish Ministerio de Ciencia, Innovación y Universidades through an FPU PhD fellowship (FPU014/02948). The authors thank Instituto Tecnológico y de Energías Renovables (ITER), S.A for providing access to the Teide High‐Performance Computing facility (Teide‐HPC). Fieldwork was supported by collecting permit AFF 107/17 (sigma number 2017‐00572) kindly provided by the Cabildo of Tenerife.es_ES
dc.language.isoenges_ES
dc.publisherWiley-VCHes_ES
dc.publisherSociety for the Study of Evolutiones_ES
dc.relationMICIU/EQC2018/004418‐Pes_ES
dc.relation.isversionofPostprintes_ES
dc.rightsopenAccessen_EN
dc.subjectColeopteraes_ES
dc.subjectHybridizationes_ES
dc.subjectLast Glacial Maximumes_ES
dc.subjectQuaternary climatees_ES
dc.subjectSpeciationes_ES
dc.subjectTrade‐wind inversiones_ES
dc.titleLong‐term cloud forest response to climate warming revealed by insect speciation historyes_ES
dc.typeartículoes_ES
dc.identifier.doi10.1111/evo.14111-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttps://doi.org/10.1111/evo.14111es_ES
dc.identifier.e-issn1558-5646-
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-nd/3.0/es/es_ES
dc.contributor.funderAgencia Estatal de Investigación (España)es_ES
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades (España)es_ES
dc.contributor.funderCabildo de Tenerifees_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.identifier.funderhttp://dx.doi.org/10.13039/501100011033es_ES
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.openairetypeartículo-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
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