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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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Title:
Selecting indicator species of infrastructure impacts using network analysis and biological traits: Bird electrocution and power lines
Authors:
Pérez-García, Juan Manuel
Sebastián-González, Esther  
Botella Robles, Francisco  
Sánchez Zapata, José Antonio  
Editor:
Elsevier
Department:
Departamentos de la UMH::Biología Aplicada
Issue Date:
2016
URI:
https://hdl.handle.net/11000/31101
Abstract:
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.
Keywords/Subjects:
co-occurrence
eagle owl
human impacts
indicator species
nestedness
power lines
ordination analysis
Knowledge area:
CDU: Ciencias puras y naturales: Biología: Ecología general y biodiversidad
Type of document:
info:eu-repo/semantics/article
Access rights:
info:eu-repo/semantics/closedAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
DOI:
https://doi.org/10.1016/j.ecolind.2015.07.020
Appears in Collections:
Artículos Biología Aplicada



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