Integrating sustainable hunting in biodiversity protection in Central Africa: hot spots, weak spots, and strong spots.

Wild animals are a primary source of protein (bushmeat) for people living in or near tropical forests. Ideally, the effect of bushmeat harvests should be monitored closely by making regular estimates of offtake rate and size of stock available for exploitation. However, in practice, this is possible...

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Main Authors: Julia E Fa, Jesús Olivero, Miguel Ángel Farfán, Ana Luz Márquez, Juan Mario Vargas, Raimundo Real, Robert Nasi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0112367
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spelling doaj-3cab8d61d253441d9d03680a3826c5092021-05-30T04:30:59ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-01911e11236710.1371/journal.pone.0112367Integrating sustainable hunting in biodiversity protection in Central Africa: hot spots, weak spots, and strong spots.Julia E FaJesús OliveroMiguel Ángel FarfánAna Luz MárquezJuan Mario VargasRaimundo RealRobert NasiWild animals are a primary source of protein (bushmeat) for people living in or near tropical forests. Ideally, the effect of bushmeat harvests should be monitored closely by making regular estimates of offtake rate and size of stock available for exploitation. However, in practice, this is possible in very few situations because it requires both of these aspects to be readily measurable, and even in the best case, entails very considerable time and effort. As alternative, in this study, we use high-resolution, environmental favorability models for terrestrial mammals (N = 165) in Central Africa to map areas of high species richness (hot spots) and hunting susceptibility. Favorability models distinguish localities with environmental conditions that favor the species' existence from those with detrimental characteristics for its presence. We develop an index for assessing Potential Hunting Sustainability (PHS) of each species based on their ecological characteristics (population density, habitat breadth, rarity and vulnerability), weighted according to restrictive and permissive assumptions of how species' characteristics are combined. Species are classified into five main hunting sustainability classes using fuzzy logic. Using the accumulated favorability values of all species, and their PHS values, we finally identify weak spots, defined as high diversity regions of especial hunting vulnerability for wildlife, as well as strong spots, defined as high diversity areas of high hunting sustainability potential. Our study uses relatively simple models that employ easily obtainable data of a species' ecological characteristics to assess the impacts of hunting in tropical regions. It provides information for management by charting the geography of where species are more or less likely to be at risk of extinction from hunting.https://doi.org/10.1371/journal.pone.0112367
collection DOAJ
language English
format Article
sources DOAJ
author Julia E Fa
Jesús Olivero
Miguel Ángel Farfán
Ana Luz Márquez
Juan Mario Vargas
Raimundo Real
Robert Nasi
spellingShingle Julia E Fa
Jesús Olivero
Miguel Ángel Farfán
Ana Luz Márquez
Juan Mario Vargas
Raimundo Real
Robert Nasi
Integrating sustainable hunting in biodiversity protection in Central Africa: hot spots, weak spots, and strong spots.
PLoS ONE
author_facet Julia E Fa
Jesús Olivero
Miguel Ángel Farfán
Ana Luz Márquez
Juan Mario Vargas
Raimundo Real
Robert Nasi
author_sort Julia E Fa
title Integrating sustainable hunting in biodiversity protection in Central Africa: hot spots, weak spots, and strong spots.
title_short Integrating sustainable hunting in biodiversity protection in Central Africa: hot spots, weak spots, and strong spots.
title_full Integrating sustainable hunting in biodiversity protection in Central Africa: hot spots, weak spots, and strong spots.
title_fullStr Integrating sustainable hunting in biodiversity protection in Central Africa: hot spots, weak spots, and strong spots.
title_full_unstemmed Integrating sustainable hunting in biodiversity protection in Central Africa: hot spots, weak spots, and strong spots.
title_sort integrating sustainable hunting in biodiversity protection in central africa: hot spots, weak spots, and strong spots.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description Wild animals are a primary source of protein (bushmeat) for people living in or near tropical forests. Ideally, the effect of bushmeat harvests should be monitored closely by making regular estimates of offtake rate and size of stock available for exploitation. However, in practice, this is possible in very few situations because it requires both of these aspects to be readily measurable, and even in the best case, entails very considerable time and effort. As alternative, in this study, we use high-resolution, environmental favorability models for terrestrial mammals (N = 165) in Central Africa to map areas of high species richness (hot spots) and hunting susceptibility. Favorability models distinguish localities with environmental conditions that favor the species' existence from those with detrimental characteristics for its presence. We develop an index for assessing Potential Hunting Sustainability (PHS) of each species based on their ecological characteristics (population density, habitat breadth, rarity and vulnerability), weighted according to restrictive and permissive assumptions of how species' characteristics are combined. Species are classified into five main hunting sustainability classes using fuzzy logic. Using the accumulated favorability values of all species, and their PHS values, we finally identify weak spots, defined as high diversity regions of especial hunting vulnerability for wildlife, as well as strong spots, defined as high diversity areas of high hunting sustainability potential. Our study uses relatively simple models that employ easily obtainable data of a species' ecological characteristics to assess the impacts of hunting in tropical regions. It provides information for management by charting the geography of where species are more or less likely to be at risk of extinction from hunting.
url https://doi.org/10.1371/journal.pone.0112367
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