Por favor, use este identificador para citar o enlazar este ítem:
https://hdl.handle.net/11000/38819
Assessment of the key evolutionary traits that prevent extinctions in human-altered habitats using a spatially explicit individual-based model
Ver/Abrir: 1-s2.0-S030438001930331X-main.pdf
1,03 MB
Adobe PDF
Compartir:
Este recurso está restringido
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
|
La licencia se describe como: Atribución-NonComercial-NoDerivada 4.0 Internacional.