A comprehensive quantitative assessment of bird extinction risk in Brazil.
In an effort to avoid species loss, scientists have focused their efforts on the mechanisms making some species more prone to extinction than others. However, species show different responses to threats given their evolutionary history, behavior, and intrinsic biological features. We used bird biolo...
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doaj-5a277d72b77a416e823cde56d687f8a02020-11-25T02:35:20ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0188e7228310.1371/journal.pone.0072283A comprehensive quantitative assessment of bird extinction risk in Brazil.Nathália MachadoRafael Dias LoyolaIn an effort to avoid species loss, scientists have focused their efforts on the mechanisms making some species more prone to extinction than others. However, species show different responses to threats given their evolutionary history, behavior, and intrinsic biological features. We used bird biological features and external threats to (1) understand the multiple pathways driving Brazilian bird species to extinction, (2) to investigate if and how extinction risk is geographically structured, and (3) to quantify how much diversity is currently represented inside protected areas. We modeled the extinction risk of 1557 birds using classification trees and evaluated the relative contribution of each biological feature and external threat in predicting extinction risk. We also quantified the proportion of species and their geographic range currently protected by the network of Brazilian protected areas. The optimal classification tree showed different pathways to bird extinction. Habitat conversion was the most important predictor driving extinction risk though other variables, such as geographic range size, type of habitat, hunting or trapping and trophic guild, were also relevant in our models. Species under higher extinction risk were concentrated mainly in the Cerrado Biodiversity Hotspot and were not quite represented inside protected areas, neither in richness nor range. Predictive models could assist conservation actions, and this study could contribute by highlighting the importance of natural history and ecology in these actions.http://europepmc.org/articles/PMC3741389?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Nathália Machado Rafael Dias Loyola |
spellingShingle |
Nathália Machado Rafael Dias Loyola A comprehensive quantitative assessment of bird extinction risk in Brazil. PLoS ONE |
author_facet |
Nathália Machado Rafael Dias Loyola |
author_sort |
Nathália Machado |
title |
A comprehensive quantitative assessment of bird extinction risk in Brazil. |
title_short |
A comprehensive quantitative assessment of bird extinction risk in Brazil. |
title_full |
A comprehensive quantitative assessment of bird extinction risk in Brazil. |
title_fullStr |
A comprehensive quantitative assessment of bird extinction risk in Brazil. |
title_full_unstemmed |
A comprehensive quantitative assessment of bird extinction risk in Brazil. |
title_sort |
comprehensive quantitative assessment of bird extinction risk in brazil. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2013-01-01 |
description |
In an effort to avoid species loss, scientists have focused their efforts on the mechanisms making some species more prone to extinction than others. However, species show different responses to threats given their evolutionary history, behavior, and intrinsic biological features. We used bird biological features and external threats to (1) understand the multiple pathways driving Brazilian bird species to extinction, (2) to investigate if and how extinction risk is geographically structured, and (3) to quantify how much diversity is currently represented inside protected areas. We modeled the extinction risk of 1557 birds using classification trees and evaluated the relative contribution of each biological feature and external threat in predicting extinction risk. We also quantified the proportion of species and their geographic range currently protected by the network of Brazilian protected areas. The optimal classification tree showed different pathways to bird extinction. Habitat conversion was the most important predictor driving extinction risk though other variables, such as geographic range size, type of habitat, hunting or trapping and trophic guild, were also relevant in our models. Species under higher extinction risk were concentrated mainly in the Cerrado Biodiversity Hotspot and were not quite represented inside protected areas, neither in richness nor range. Predictive models could assist conservation actions, and this study could contribute by highlighting the importance of natural history and ecology in these actions. |
url |
http://europepmc.org/articles/PMC3741389?pdf=render |
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