Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Mokany, Karel, Westcott, David A., Prasad, Soumya, Ford, Andrew J., Metcalfe, Daniel J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
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
_version_ 1782303835206713344
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
work_keys_str_mv AT mokanykarel identifyingpriorityareasforconservationandmanagementindiversetropicalforests
AT westcottdavida identifyingpriorityareasforconservationandmanagementindiversetropicalforests
AT prasadsoumya identifyingpriorityareasforconservationandmanagementindiversetropicalforests
AT fordandrewj identifyingpriorityareasforconservationandmanagementindiversetropicalforests
AT metcalfedanielj identifyingpriorityareasforconservationandmanagementindiversetropicalforests