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Improving extinction projections across scales and habitats using the countryside species-area relationship

The species-area relationship (SAR) has been often used to project species extinctions as a consequence of habitat loss. However, recent studies have suggested that the SAR may overestimate species extinctions, at least in the short-term. We argue that the main reason for this overestimation is that...

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Autores principales: Martins, Inês Santos, Pereira, Henrique Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635007/
https://www.ncbi.nlm.nih.gov/pubmed/29018229
http://dx.doi.org/10.1038/s41598-017-13059-y
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author Martins, Inês Santos
Pereira, Henrique Miguel
author_facet Martins, Inês Santos
Pereira, Henrique Miguel
author_sort Martins, Inês Santos
collection PubMed
description The species-area relationship (SAR) has been often used to project species extinctions as a consequence of habitat loss. However, recent studies have suggested that the SAR may overestimate species extinctions, at least in the short-term. We argue that the main reason for this overestimation is that the classic SAR ignores the persistence of species in human-modified habitats. We use data collected worldwide to analyse what is the fraction of bird and plant species that remain in different human-modified habitats at the local scale after full habitat conversion. We observe that both taxa have consistent responses to the different land-use types, with strongest reductions in species richness in cropland across the globe, and in pasture in the tropics. We show that the results from these studies cannot be linearly scaled from plots to large regions, as this again overestimates the impacts of land-use change on biodiversity. The countryside SAR provides a unifying framework to incorporate both the effect of species persistence in the landscape matrix and the non-linear response of the proportion of species extinctions to sampling area, generating more realistic projections of biodiversity loss.
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spelling pubmed-56350072017-10-18 Improving extinction projections across scales and habitats using the countryside species-area relationship Martins, Inês Santos Pereira, Henrique Miguel Sci Rep Article The species-area relationship (SAR) has been often used to project species extinctions as a consequence of habitat loss. However, recent studies have suggested that the SAR may overestimate species extinctions, at least in the short-term. We argue that the main reason for this overestimation is that the classic SAR ignores the persistence of species in human-modified habitats. We use data collected worldwide to analyse what is the fraction of bird and plant species that remain in different human-modified habitats at the local scale after full habitat conversion. We observe that both taxa have consistent responses to the different land-use types, with strongest reductions in species richness in cropland across the globe, and in pasture in the tropics. We show that the results from these studies cannot be linearly scaled from plots to large regions, as this again overestimates the impacts of land-use change on biodiversity. The countryside SAR provides a unifying framework to incorporate both the effect of species persistence in the landscape matrix and the non-linear response of the proportion of species extinctions to sampling area, generating more realistic projections of biodiversity loss. Nature Publishing Group UK 2017-10-10 /pmc/articles/PMC5635007/ /pubmed/29018229 http://dx.doi.org/10.1038/s41598-017-13059-y Text en © The Author(s) 2017 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Martins, Inês Santos
Pereira, Henrique Miguel
Improving extinction projections across scales and habitats using the countryside species-area relationship
title Improving extinction projections across scales and habitats using the countryside species-area relationship
title_full Improving extinction projections across scales and habitats using the countryside species-area relationship
title_fullStr Improving extinction projections across scales and habitats using the countryside species-area relationship
title_full_unstemmed Improving extinction projections across scales and habitats using the countryside species-area relationship
title_short Improving extinction projections across scales and habitats using the countryside species-area relationship
title_sort improving extinction projections across scales and habitats using the countryside species-area relationship
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635007/
https://www.ncbi.nlm.nih.gov/pubmed/29018229
http://dx.doi.org/10.1038/s41598-017-13059-y
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