Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Muldoon, Kathleen M., Goodman, Steven M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
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
_version_ 1782388779350228992
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
work_keys_str_mv AT muldoonkathleenm primatesaspredictorsofmammalcommunitydiversityintheforestecosystemsofmadagascar
AT goodmanstevenm primatesaspredictorsofmammalcommunitydiversityintheforestecosystemsofmadagascar