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Selecting indicator species of infrastructure impacts using network analysis and biological traits: Bird electrocution and power lines
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Título : Selecting indicator species of infrastructure impacts using network analysis and biological traits: Bird electrocution and power lines |
Autor : Pérez-García, Juan Manuel Sebastián-González, Esther Botella Robles, Francisco Sánchez Zapata, José Antonio |
Editor : Elsevier |
Departamento: Departamentos de la UMH::Biología Aplicada |
Fecha de publicación: 2016 |
URI : https://hdl.handle.net/11000/31101 |
Resumen :
The use of indicator species may save a considerable amount of resources when the attributes of other
species or of the ecological process of interest are difficult or costly to measure directly. However, identifying indicator species is not easy and there is a need for rigorous criteria and methods for their selection.
In this study, we test a new approach to select indicator species of high mortality-risk of electrocution in
power pylons comparing methods based on biological criteria and network analysis. For this purpose, we
studied 335 mortality records of 19 bird species electrocuted between 1996 and 2013 in a Special Protected Area located in South-eastern Spain. Our results showed that both species-biology based methods
and network analyses provided similar results, indicating that the eagle owl can be considered the best
mortality indicator of the bird community on power pylons for the study area. The use of network analysis to select indicator species can be very useful to optimize the monitoring of infrastructure impacts,
especially on complex or understudied communities because it does not require detailed information on
the biology of the species.
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Palabras clave/Materias: co-occurrence eagle owl human impacts indicator species nestedness power lines ordination analysis |
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.ecolind.2015.07.020 |
Aparece en las colecciones: Artículos Biología Aplicada
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La licencia se describe como: Atribución-NonComercial-NoDerivada 4.0 Internacional.