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An invariability-area relationship sheds new light on the spatial scaling of ecological stability
The spatial scaling of stability is key to understanding ecological sustainability across scales and the sensitivity of ecosystems to habitat destruction. Here we propose the invariability–area relationship (IAR) as a novel approach to investigate the spatial scaling of stability. The shape and slop...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5454453/ https://www.ncbi.nlm.nih.gov/pubmed/28524860 http://dx.doi.org/10.1038/ncomms15211 |
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author | Wang, Shaopeng Loreau, Michel Arnoldi, Jean-Francois Fang, Jingyun Rahman, K. Abd. Tao, Shengli de Mazancourt, Claire |
author_facet | Wang, Shaopeng Loreau, Michel Arnoldi, Jean-Francois Fang, Jingyun Rahman, K. Abd. Tao, Shengli de Mazancourt, Claire |
author_sort | Wang, Shaopeng |
collection | PubMed |
description | The spatial scaling of stability is key to understanding ecological sustainability across scales and the sensitivity of ecosystems to habitat destruction. Here we propose the invariability–area relationship (IAR) as a novel approach to investigate the spatial scaling of stability. The shape and slope of IAR are largely determined by patterns of spatial synchrony across scales. When synchrony decays exponentially with distance, IARs exhibit three phases, characterized by steeper increases in invariability at both small and large scales. Such triphasic IARs are observed for primary productivity from plot to continental scales. When synchrony decays as a power law with distance, IARs are quasilinear on a log–log scale. Such quasilinear IARs are observed for North American bird biomass at both species and community levels. The IAR provides a quantitative tool to predict the effects of habitat loss on population and ecosystem stability and to detect regime shifts in spatial ecological systems, which are goals of relevance to conservation and policy. |
format | Online Article Text |
id | pubmed-5454453 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-54544532017-06-07 An invariability-area relationship sheds new light on the spatial scaling of ecological stability Wang, Shaopeng Loreau, Michel Arnoldi, Jean-Francois Fang, Jingyun Rahman, K. Abd. Tao, Shengli de Mazancourt, Claire Nat Commun Article The spatial scaling of stability is key to understanding ecological sustainability across scales and the sensitivity of ecosystems to habitat destruction. Here we propose the invariability–area relationship (IAR) as a novel approach to investigate the spatial scaling of stability. The shape and slope of IAR are largely determined by patterns of spatial synchrony across scales. When synchrony decays exponentially with distance, IARs exhibit three phases, characterized by steeper increases in invariability at both small and large scales. Such triphasic IARs are observed for primary productivity from plot to continental scales. When synchrony decays as a power law with distance, IARs are quasilinear on a log–log scale. Such quasilinear IARs are observed for North American bird biomass at both species and community levels. The IAR provides a quantitative tool to predict the effects of habitat loss on population and ecosystem stability and to detect regime shifts in spatial ecological systems, which are goals of relevance to conservation and policy. Nature Publishing Group 2017-05-19 /pmc/articles/PMC5454453/ /pubmed/28524860 http://dx.doi.org/10.1038/ncomms15211 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Wang, Shaopeng Loreau, Michel Arnoldi, Jean-Francois Fang, Jingyun Rahman, K. Abd. Tao, Shengli de Mazancourt, Claire An invariability-area relationship sheds new light on the spatial scaling of ecological stability |
title | An invariability-area relationship sheds new light on the spatial scaling of ecological stability |
title_full | An invariability-area relationship sheds new light on the spatial scaling of ecological stability |
title_fullStr | An invariability-area relationship sheds new light on the spatial scaling of ecological stability |
title_full_unstemmed | An invariability-area relationship sheds new light on the spatial scaling of ecological stability |
title_short | An invariability-area relationship sheds new light on the spatial scaling of ecological stability |
title_sort | invariability-area relationship sheds new light on the spatial scaling of ecological stability |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5454453/ https://www.ncbi.nlm.nih.gov/pubmed/28524860 http://dx.doi.org/10.1038/ncomms15211 |
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