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Identifying Priority Areas for Conservation and Management in Diverse Tropical Forests
The high concentration of the world’s species in tropical forests endows these systems with particular importance for retaining global biodiversity, yet it also presents significant challenges for ecology and conservation science. The vast number of rare and yet to be discovered species restricts th...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3925232/ https://www.ncbi.nlm.nih.gov/pubmed/24551222 http://dx.doi.org/10.1371/journal.pone.0089084 |
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author | Mokany, Karel Westcott, David A. Prasad, Soumya Ford, Andrew J. Metcalfe, Daniel J. |
author_facet | Mokany, Karel Westcott, David A. Prasad, Soumya Ford, Andrew J. Metcalfe, Daniel J. |
author_sort | Mokany, Karel |
collection | PubMed |
description | The high concentration of the world’s species in tropical forests endows these systems with particular importance for retaining global biodiversity, yet it also presents significant challenges for ecology and conservation science. The vast number of rare and yet to be discovered species restricts the applicability of species-level modelling for tropical forests, while the capacity of community classification approaches to identify priorities for conservation and management is also limited. Here we assessed the degree to which macroecological modelling can overcome shortfalls in our knowledge of biodiversity in tropical forests and help identify priority areas for their conservation and management. We used 527 plant community survey plots in the Australian Wet Tropics to generate models and predictions of species richness, compositional dissimilarity, and community composition for all the 4,313 vascular plant species recorded across the region (>1.3 million communities (grid cells)). We then applied these predictions to identify areas of tropical forest likely to contain the greatest concentration of species, rare species, endemic species and primitive angiosperm families. Synthesising these alternative attributes of diversity into a single index of conservation value, we identified two areas within the Australian wet tropics that should be a high priority for future conservation actions: the Atherton Tablelands and Daintree rainforest. Our findings demonstrate the value of macroecological modelling in identifying priority areas for conservation and management actions within highly diverse systems, such as tropical forests. |
format | Online Article Text |
id | pubmed-3925232 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39252322014-02-18 Identifying Priority Areas for Conservation and Management in Diverse Tropical Forests Mokany, Karel Westcott, David A. Prasad, Soumya Ford, Andrew J. Metcalfe, Daniel J. PLoS One Research Article The high concentration of the world’s species in tropical forests endows these systems with particular importance for retaining global biodiversity, yet it also presents significant challenges for ecology and conservation science. The vast number of rare and yet to be discovered species restricts the applicability of species-level modelling for tropical forests, while the capacity of community classification approaches to identify priorities for conservation and management is also limited. Here we assessed the degree to which macroecological modelling can overcome shortfalls in our knowledge of biodiversity in tropical forests and help identify priority areas for their conservation and management. We used 527 plant community survey plots in the Australian Wet Tropics to generate models and predictions of species richness, compositional dissimilarity, and community composition for all the 4,313 vascular plant species recorded across the region (>1.3 million communities (grid cells)). We then applied these predictions to identify areas of tropical forest likely to contain the greatest concentration of species, rare species, endemic species and primitive angiosperm families. Synthesising these alternative attributes of diversity into a single index of conservation value, we identified two areas within the Australian wet tropics that should be a high priority for future conservation actions: the Atherton Tablelands and Daintree rainforest. Our findings demonstrate the value of macroecological modelling in identifying priority areas for conservation and management actions within highly diverse systems, such as tropical forests. Public Library of Science 2014-02-14 /pmc/articles/PMC3925232/ /pubmed/24551222 http://dx.doi.org/10.1371/journal.pone.0089084 Text en © 2014 Mokany et al 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 Mokany, Karel Westcott, David A. Prasad, Soumya Ford, Andrew J. Metcalfe, Daniel J. Identifying Priority Areas for Conservation and Management in Diverse Tropical Forests |
title | Identifying Priority Areas for Conservation and Management in Diverse Tropical Forests |
title_full | Identifying Priority Areas for Conservation and Management in Diverse Tropical Forests |
title_fullStr | Identifying Priority Areas for Conservation and Management in Diverse Tropical Forests |
title_full_unstemmed | Identifying Priority Areas for Conservation and Management in Diverse Tropical Forests |
title_short | Identifying Priority Areas for Conservation and Management in Diverse Tropical Forests |
title_sort | identifying priority areas for conservation and management in diverse tropical forests |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3925232/ https://www.ncbi.nlm.nih.gov/pubmed/24551222 http://dx.doi.org/10.1371/journal.pone.0089084 |
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