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Using risk prediction models and species sensitivity maps for large-scale identification of infrastructure-related wildlife protection areas: The case of bird electrocution
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Título : Using risk prediction models and species sensitivity maps for large-scale identification of infrastructure-related wildlife protection areas: The case of bird electrocution |
Autor : Pérez-García, Juan Manuel DeVault, Travis ![](/image/ORCID.jpg) Botella Robles, Francisco ![](/image/ORCID.jpg) Sánchez Zapata, José Antonio ![](/image/ORCID.jpg) |
Editor : Elsevier |
Departamento: Departamentos de la UMH::Biología Aplicada |
Fecha de publicación: 2017-06 |
URI : https://hdl.handle.net/11000/31108 |
Resumen :
The use of systematic area-selection procedures to design protected areas can help optimize conservation
actions. However, this process has rarely been used to identify high-risk mortality areas to protect wildlife from
human impacts. Electrocution on power lines is one the most important human-related causes of bird mortality
worldwide, especially for raptors. Identifying and correcting dangerous individual pylons can significantly
reduce the number of electrocution victims, but applying this procedure at a large spatial scale is impractical. In this paper we describe a new selection process that allows for identification of high-risk mortality areas at large scales, combining spatial electrocution risk models with maps of species sensitivity to such an impact. We used the Valencia Region (eastern Spain) as our study system. The risk prediction map was built using bird
electrocution records on 1 km × 1 km grids from 2000 to 2009 and the species sensitivity map was built using
data on presence and use of four raptor species. The combination of both maps was compared to the distribution of Special Protected Areas and validated by local experts to identify prediction errors or gaps. The final proposal of high priority areas to protect birds from electrocution covered 16.3% of the Valencia Region. Our work supports the use of predictive models and sensitivity maps in the decision-making process to locate high priority infrastructure-related wildlife protection areas at a large scale.
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Palabras clave/Materias: expert evaluation power lines predictive modelling raptor reserve design Spain |
Área de conocimiento : CDU: Ciencias puras y naturales: Biología: Ecología general y biodiversidad |
Tipo documento : application/pdf |
Derechos de acceso: info:eu-repo/semantics/closedAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
DOI : https://doi.org/10.1016/j.biocon.2017.04.033 |
Aparece en las colecciones: Artículos Biología Aplicada
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La licencia se describe como: Atribución-NonComercial-NoDerivada 4.0 Internacional.