English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/96506
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL
Exportar a otros formatos:

DC FieldValueLanguage
dc.contributor.authorSantos, Helena-
dc.contributor.authorJuste, Javier-
dc.contributor.authorIbáñez, Carlos-
dc.contributor.authorPalmeirim, Jorge M.-
dc.contributor.authorGodinho, Raquel-
dc.contributor.authorAlves, Pedro-
dc.contributor.authorCosta, Hugo-
dc.contributor.authorde Paz, Óscar-
dc.contributor.authorPérerz-Suárez, Gonzalo-
dc.contributor.authorMartínez-Alos, Susana-
dc.contributor.authorJones, Gareth-
dc.contributor.authorRebelo, Hugo-
dc.date.accessioned2014-05-12T09:20:47Z-
dc.date.available2014-05-12T09:20:47Z-
dc.date.issued2014-04-
dc.identifier.citationBiological Journal of the Linnean Society, 112(1): 150-162 (2014)es_ES
dc.identifier.urihttp://hdl.handle.net/10261/96506-
dc.description.abstractTo determine what shapes the distributions of cryptic species, we aimed to unravel ecological niches and geographical distributions of three cryptic bat species complexes in Iberia, Plecotus auritus/begognae, Myotis mystacinus/alcathoe and Eptesicus serotinus/isabellinus (with 44, 69, 66, 27, 121 and 216 records, respectively), considering ecological interactions and biogeographical patterns. Species distribution models (SDMs) were built using a presence-only technique (Maxent), incorporating genetically identified species records with environmental variables (climate, habitat, topography). The most relevant variables for each species’ distribution and respective response curves were then determined. SDMs for each species were overlapped to assess the contact zones within each complex. Niche analyses were performed using niche metrics and spatial principal component analyses to study niche overlap and breadth. The Plecotus complex showed a parapatric distribution, although having similar biogeographical affinities (Eurosiberian), possibly explained by competitive exclusion. The Myotis complex also showed Eurosiberian affinities, with high overlap between niches and distribution, suggesting resource partitioning between species. Finally, E. serotinus was associated with Eurosiberian areas, while E. isabellinus occurred in Mediterranean areas, suggesting possible competition in their restricted contact zone. This study highlights tes_ES
dc.language.isoenges_ES
dc.publisherAcademic Presses_ES
dc.rightsopenAccesses_ES
dc.subjectChiropteraes_ES
dc.subjectCryptic specieses_ES
dc.subjectEcological nicheses_ES
dc.subjectMaximum entropy modellinges_ES
dc.subjectSpatial PCAes_ES
dc.subjectSpecies distributionses_ES
dc.titleInfluences of ecology and biogeography on shaping the distributions of cryptic species: three bat tales in Iberiaes_ES
dc.typeartículoes_ES
dc.identifier.doi10.1111/bij.12247-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1111/bij.12247es_ES
dc.embargo.terms2015-04-01es_ES
Appears in Collections:(EBD) Artículos
Files in This Item:
File Description SizeFormat 
Santos etal 2013.pdf3,24 MBAdobe PDFThumbnail
View/Open
Show simple item record
 

Related articles:


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.