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Protected area networks do not represent unseen biodiversity

Most existing protected area networks are biased to protect charismatic species or landscapes. We hypothesized that conservation networks designed to include unseen biodiversity—species rich groups that consist of inconspicuous taxa, or groups affected by knowledge gaps—are more efficient than netwo...

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Autores principales: Delso, Ángel, Fajardo, Javier, Muñoz, Jesús
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192537/
https://www.ncbi.nlm.nih.gov/pubmed/34112867
http://dx.doi.org/10.1038/s41598-021-91651-z
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author Delso, Ángel
Fajardo, Javier
Muñoz, Jesús
author_facet Delso, Ángel
Fajardo, Javier
Muñoz, Jesús
author_sort Delso, Ángel
collection PubMed
description Most existing protected area networks are biased to protect charismatic species or landscapes. We hypothesized that conservation networks designed to include unseen biodiversity—species rich groups that consist of inconspicuous taxa, or groups affected by knowledge gaps—are more efficient than networks that ignore these groups. To test this hypothesis, we generated species distribution models for 3006 arthropod species to determine which were represented in three networks of different sizes and biogeographic origin. We assessed the efficiency of each network using spatial prioritization to measure its completeness, the increment needed to achieve conservation targets, and its specificity, the extent to which proposed priority areas to maximize unseen biodiversity overlap with existing networks. We found that the representativeness of unseen biodiversity in the studied protected areas, or extrinsic representativeness, is low, with ~ 40% of the analyzed unseen biodiversity species being unprotected. We also found that existing networks should be expanded ~ 26% to 46% of their current area to complete targets, and that existing networks do not efficiently conserve the unseen biodiversity given their low specificity (as low as 8.8%) unseen biodiversity. We conclude that information on unseen biodiversity must be included in systematic conservation planning approaches to design more efficient and ecologically representative protected areas.
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spelling pubmed-81925372021-06-14 Protected area networks do not represent unseen biodiversity Delso, Ángel Fajardo, Javier Muñoz, Jesús Sci Rep Article Most existing protected area networks are biased to protect charismatic species or landscapes. We hypothesized that conservation networks designed to include unseen biodiversity—species rich groups that consist of inconspicuous taxa, or groups affected by knowledge gaps—are more efficient than networks that ignore these groups. To test this hypothesis, we generated species distribution models for 3006 arthropod species to determine which were represented in three networks of different sizes and biogeographic origin. We assessed the efficiency of each network using spatial prioritization to measure its completeness, the increment needed to achieve conservation targets, and its specificity, the extent to which proposed priority areas to maximize unseen biodiversity overlap with existing networks. We found that the representativeness of unseen biodiversity in the studied protected areas, or extrinsic representativeness, is low, with ~ 40% of the analyzed unseen biodiversity species being unprotected. We also found that existing networks should be expanded ~ 26% to 46% of their current area to complete targets, and that existing networks do not efficiently conserve the unseen biodiversity given their low specificity (as low as 8.8%) unseen biodiversity. We conclude that information on unseen biodiversity must be included in systematic conservation planning approaches to design more efficient and ecologically representative protected areas. Nature Publishing Group UK 2021-06-10 /pmc/articles/PMC8192537/ /pubmed/34112867 http://dx.doi.org/10.1038/s41598-021-91651-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Delso, Ángel
Fajardo, Javier
Muñoz, Jesús
Protected area networks do not represent unseen biodiversity
title Protected area networks do not represent unseen biodiversity
title_full Protected area networks do not represent unseen biodiversity
title_fullStr Protected area networks do not represent unseen biodiversity
title_full_unstemmed Protected area networks do not represent unseen biodiversity
title_short Protected area networks do not represent unseen biodiversity
title_sort protected area networks do not represent unseen biodiversity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8192537/
https://www.ncbi.nlm.nih.gov/pubmed/34112867
http://dx.doi.org/10.1038/s41598-021-91651-z
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