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Biodiversity stabilizes plant communities through statistical-averaging effects rather than compensatory dynamics
Understanding the relationship between biodiversity and ecosystem stability is a central goal of ecologists. Recent studies have concluded that biodiversity increases community temporal stability by increasing the asynchrony between the dynamics of different species. Theoretically, this enhancement...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759569/ https://www.ncbi.nlm.nih.gov/pubmed/36528635 http://dx.doi.org/10.1038/s41467-022-35514-9 |
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author | Zhao, Lei Wang, Shaopeng Shen, Ruohong Gong, Ying Wang, Chong Hong, Pubin Reuman, Daniel C. |
author_facet | Zhao, Lei Wang, Shaopeng Shen, Ruohong Gong, Ying Wang, Chong Hong, Pubin Reuman, Daniel C. |
author_sort | Zhao, Lei |
collection | PubMed |
description | Understanding the relationship between biodiversity and ecosystem stability is a central goal of ecologists. Recent studies have concluded that biodiversity increases community temporal stability by increasing the asynchrony between the dynamics of different species. Theoretically, this enhancement can occur through either increased between-species compensatory dynamics, a fundamentally biological mechanism; or through an averaging effect, primarily a statistical mechanism. Yet it remains unclear which mechanism is dominant in explaining the diversity-stability relationship. We address this issue by mathematically decomposing asynchrony into components separately quantifying the compensatory and statistical-averaging effects. We applied the new decomposition approach to plant survey and experimental data from North American grasslands. We show that statistical averaging, rather than compensatory dynamics, was the principal mediator of biodiversity effects on community stability. Our simple decomposition approach helps integrate concepts of stability, asynchrony, statistical averaging, and compensatory dynamics, and suggests that statistical averaging, rather than compensatory dynamics, is the primary means by which biodiversity confers ecological stability. |
format | Online Article Text |
id | pubmed-9759569 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97595692022-12-19 Biodiversity stabilizes plant communities through statistical-averaging effects rather than compensatory dynamics Zhao, Lei Wang, Shaopeng Shen, Ruohong Gong, Ying Wang, Chong Hong, Pubin Reuman, Daniel C. Nat Commun Article Understanding the relationship between biodiversity and ecosystem stability is a central goal of ecologists. Recent studies have concluded that biodiversity increases community temporal stability by increasing the asynchrony between the dynamics of different species. Theoretically, this enhancement can occur through either increased between-species compensatory dynamics, a fundamentally biological mechanism; or through an averaging effect, primarily a statistical mechanism. Yet it remains unclear which mechanism is dominant in explaining the diversity-stability relationship. We address this issue by mathematically decomposing asynchrony into components separately quantifying the compensatory and statistical-averaging effects. We applied the new decomposition approach to plant survey and experimental data from North American grasslands. We show that statistical averaging, rather than compensatory dynamics, was the principal mediator of biodiversity effects on community stability. Our simple decomposition approach helps integrate concepts of stability, asynchrony, statistical averaging, and compensatory dynamics, and suggests that statistical averaging, rather than compensatory dynamics, is the primary means by which biodiversity confers ecological stability. Nature Publishing Group UK 2022-12-17 /pmc/articles/PMC9759569/ /pubmed/36528635 http://dx.doi.org/10.1038/s41467-022-35514-9 Text en © The Author(s) 2022 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 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zhao, Lei Wang, Shaopeng Shen, Ruohong Gong, Ying Wang, Chong Hong, Pubin Reuman, Daniel C. Biodiversity stabilizes plant communities through statistical-averaging effects rather than compensatory dynamics |
title | Biodiversity stabilizes plant communities through statistical-averaging effects rather than compensatory dynamics |
title_full | Biodiversity stabilizes plant communities through statistical-averaging effects rather than compensatory dynamics |
title_fullStr | Biodiversity stabilizes plant communities through statistical-averaging effects rather than compensatory dynamics |
title_full_unstemmed | Biodiversity stabilizes plant communities through statistical-averaging effects rather than compensatory dynamics |
title_short | Biodiversity stabilizes plant communities through statistical-averaging effects rather than compensatory dynamics |
title_sort | biodiversity stabilizes plant communities through statistical-averaging effects rather than compensatory dynamics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759569/ https://www.ncbi.nlm.nih.gov/pubmed/36528635 http://dx.doi.org/10.1038/s41467-022-35514-9 |
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