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Assessment of the key evolutionary traits that prevent extinctions in human-altered habitats using a spatially explicit individual-based model


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Título :
Assessment of the key evolutionary traits that prevent extinctions in human-altered habitats using a spatially explicit individual-based model
Autor :
Graciá, Eva
Rodríguez Caro, Roberto C.
Sanz Aguilar, Ana
Anadón, Jose D.
Botella, Francisco
García García, Angel Luis
Wiegand, Thorsten
Giménez, Andrés
Editor :
Elsevier
Departamento:
Departamentos de la UMH::Biología Aplicada
Fecha de publicación:
2020
URI :
https://hdl.handle.net/11000/38819
Resumen :
Identifying key evolutionary strategies that support population persistence remains a challenging task for biodiversity conservation. Here we assess if animal adaptations to cope with low densities (i.e. that facilitate mate-findings or promote spatial aggregation of individuals) can allow species to persist in human-altered habitats. A spatially explicit and individual-based model was developed to assess if, and under what circumstances, such adaptations maintain population viability. The model was parameterised with data from the movement and demography of the spur-thighed tortoise (Testudo graeca) and simulated scenarios with differences in adult survivorships, initial population sizes and habitat alterations. Habitat alterations reduced population viability, and extinction rates were dependent on population characteristics and mate-finding distance. In contrast, philopatry around the birthplace did not prevent extinctions. Our results highlight the importance of considering specific spatial traits of species when assessing their vulnerability to human habitat alterations.
Palabras clave/Materias:
allee effect
habitat loss and fragmentation
low-movement species
mate-finding
philopatry
spatial traits
Área de conocimiento :
CDU: Ciencias puras y naturales: Biología
Tipo de documento :
info:eu-repo/semantics/article
Derechos de acceso:
info:eu-repo/semantics/closedAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
DOI :
https://doi.org/10.1016/j.ecolmodel.2019.108823
Publicado en:
Ecological Modelling
Aparece en las colecciones:
Artículos - Biología Aplicada



Creative Commons La licencia se describe como: Atribución-NonComercial-NoDerivada 4.0 Internacional.