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Primates as Predictors of Mammal Community Diversity in the Forest Ecosystems of Madagascar
The geographic distribution of species is the typical metric for identifying priority areas for conservation. Since most biodiversity remains poorly studied, a subset of charismatic species, such as primates, often stand as surrogates for total biodiversity. A central question is therefore, how effe...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4559443/ https://www.ncbi.nlm.nih.gov/pubmed/26334525 http://dx.doi.org/10.1371/journal.pone.0136787 |
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author | Muldoon, Kathleen M. Goodman, Steven M. |
author_facet | Muldoon, Kathleen M. Goodman, Steven M. |
author_sort | Muldoon, Kathleen M. |
collection | PubMed |
description | The geographic distribution of species is the typical metric for identifying priority areas for conservation. Since most biodiversity remains poorly studied, a subset of charismatic species, such as primates, often stand as surrogates for total biodiversity. A central question is therefore, how effectively do primates predict the pooled species richness of other mammalian taxa? We used lemurs as indicator species to predict total non-primate mammal community richness in the forest ecosystems of Madagascar. We combine environmental and species occurrence data to ascertain the extent to which primate diversity can predict (1) non-primate mammal α-diversity (species richness), (2) non-primate complementarity, and (3) non-primate β-diversity (species turnover). Our results indicate that primates are effective predictors of non-primate mammal community diversity in the forest ecosystems of Madagascar after controlling for habitat. When individual orders of mammals are considered, lemurs effectively predict the species richness of carnivorans and rodents (but not afrosoricids), complementarity of rodents (but not carnivorans or afrosoricids), and all individual components of β-diversity. We conclude that lemurs effectively predict total non-primate community richness. However, surrogate species alone cannot achieve complete representation of biodiversity. |
format | Online Article Text |
id | pubmed-4559443 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45594432015-09-10 Primates as Predictors of Mammal Community Diversity in the Forest Ecosystems of Madagascar Muldoon, Kathleen M. Goodman, Steven M. PLoS One Research Article The geographic distribution of species is the typical metric for identifying priority areas for conservation. Since most biodiversity remains poorly studied, a subset of charismatic species, such as primates, often stand as surrogates for total biodiversity. A central question is therefore, how effectively do primates predict the pooled species richness of other mammalian taxa? We used lemurs as indicator species to predict total non-primate mammal community richness in the forest ecosystems of Madagascar. We combine environmental and species occurrence data to ascertain the extent to which primate diversity can predict (1) non-primate mammal α-diversity (species richness), (2) non-primate complementarity, and (3) non-primate β-diversity (species turnover). Our results indicate that primates are effective predictors of non-primate mammal community diversity in the forest ecosystems of Madagascar after controlling for habitat. When individual orders of mammals are considered, lemurs effectively predict the species richness of carnivorans and rodents (but not afrosoricids), complementarity of rodents (but not carnivorans or afrosoricids), and all individual components of β-diversity. We conclude that lemurs effectively predict total non-primate community richness. However, surrogate species alone cannot achieve complete representation of biodiversity. Public Library of Science 2015-09-03 /pmc/articles/PMC4559443/ /pubmed/26334525 http://dx.doi.org/10.1371/journal.pone.0136787 Text en © 2015 Muldoon, Goodman http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Muldoon, Kathleen M. Goodman, Steven M. Primates as Predictors of Mammal Community Diversity in the Forest Ecosystems of Madagascar |
title | Primates as Predictors of Mammal Community Diversity in the Forest Ecosystems of Madagascar |
title_full | Primates as Predictors of Mammal Community Diversity in the Forest Ecosystems of Madagascar |
title_fullStr | Primates as Predictors of Mammal Community Diversity in the Forest Ecosystems of Madagascar |
title_full_unstemmed | Primates as Predictors of Mammal Community Diversity in the Forest Ecosystems of Madagascar |
title_short | Primates as Predictors of Mammal Community Diversity in the Forest Ecosystems of Madagascar |
title_sort | primates as predictors of mammal community diversity in the forest ecosystems of madagascar |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4559443/ https://www.ncbi.nlm.nih.gov/pubmed/26334525 http://dx.doi.org/10.1371/journal.pone.0136787 |
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