Mostrar el registro sencillo del ítem

dc.contributor.author
Charão Sartor, Caroline  
dc.contributor.author
Wan, Ho Yi  
dc.contributor.author
Pereira, Javier Adolfo  
dc.contributor.author
Eizirik, Eduardo  
dc.contributor.author
Campos Trigo, Tatiane  
dc.contributor.author
de Freitas, Thales Renato O.  
dc.contributor.author
Cushman, Samuel Alan  
dc.date.available
2024-03-14T11:12:32Z  
dc.date.issued
2022-12  
dc.identifier.citation
Charão Sartor, Caroline; Wan, Ho Yi; Pereira, Javier Adolfo; Eizirik, Eduardo; Campos Trigo, Tatiane; et al.; Landscape genetics outperforms habitat suitability in predicting landscape resistance for congeneric cat species; Wiley Blackwell Publishing, Inc; Journal of Biogeography; 49; 12; 12-2022; 2206-2217  
dc.identifier.issn
0305-0270  
dc.identifier.uri
http://hdl.handle.net/11336/230461  
dc.description.abstract
Aim: The use of landscape resistance maps to model connectivity has become an indispensable tool for species conservation. However, different methods can be used to estimate landscape resistance, but there is no consensus on which is the most reliable one. Therefore, comparing the performance of those methods in predicting resistance can be quite useful to understand their limitations and conservation implications. Our goal was to evaluate the accuracy of two commonly used approaches, habitat suitability modelling and landscape genetics, in estimating landscape resistance to genetic connectivity of two species of Neotropical cats (Leopardus guttulus and L. geoffroyi) across their ranges. Location: South America. Taxon: Felidae—L. guttulus and L. geoffroyi. Methods: For both species, we optimized a landscape genetics resistance surface using a restricted multivariate optimization approach and transformed a habitat suitability map into a resistance layer. We compared landscape resistance models created by these two approaches based on the models´ Akaike information criterion scores and evaluated the similarities and differences in their predictions by calculating the correlation between the resistance layers and generating difference maps. Results: The genetic approach greatly outperformed the habitat suitability approach in explaining movement driving gene flow for both species. For the studied species, habitat preference and genetic connectivity are influenced by different landscape features. Habitat alteration imposes great resistance for genetic connectivity, and the presence of natural vegetation remnants within altered environments is essential for their conservation. Main conclusions: For the studied species, the transformation of habitat suitability models into resistance surfaces is a poor proxy for permeability to dispersal, and the use of genetic data is more reliable in modelling connectivity for species conservation. Habitat suitability and landscape resistance are not equivalent or even proportional for these species.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Wiley Blackwell Publishing, Inc  
dc.rights
info:eu-repo/semantics/restrictedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
CARNIVORES  
dc.subject
CONNECTIVITY  
dc.subject
LEOPARDUS GEOFFROYI  
dc.subject
LEOPARDUS GUTTULUS  
dc.subject
MICROSATELLITE  
dc.subject
MULTISPECIES  
dc.subject.classification
Ecología  
dc.subject.classification
Ciencias Biológicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Landscape genetics outperforms habitat suitability in predicting landscape resistance for congeneric cat species  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2024-03-14T09:48:42Z  
dc.identifier.eissn
1365-2699  
dc.journal.volume
49  
dc.journal.number
12  
dc.journal.pagination
2206-2217  
dc.journal.pais
Reino Unido  
dc.description.fil
Fil: Charão Sartor, Caroline. Pontificia Universidade Católica do Rio Grande do Sul; Brasil. Universidade Federal do Rio Grande do Sul; Brasil  
dc.description.fil
Fil: Wan, Ho Yi. Humboldt-Universität zu Berlin; Alemania  
dc.description.fil
Fil: Pereira, Javier Adolfo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Museo Argentino de Ciencias Naturales "Bernardino Rivadavia"; Argentina  
dc.description.fil
Fil: Eizirik, Eduardo. Pontificia Universidade Católica do Rio Grande do Sul; Brasil  
dc.description.fil
Fil: Campos Trigo, Tatiane. Instituto Pró-Carnívoros; Brasil  
dc.description.fil
Fil: de Freitas, Thales Renato O.. Universidade Federal do Rio Grande do Sul; Brasil  
dc.description.fil
Fil: Cushman, Samuel Alan. No especifíca;  
dc.journal.title
Journal of Biogeography  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1111/jbi.14498