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Food-web complexity, meta-community complexity and community stability

What allows interacting, diverse species to coexist in nature has been a central question in ecology, ever since the theoretical prediction that a complex community should be inherently unstable. Although the role of spatiality in species coexistence has been recognized, its application to more comp...

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Detalles Bibliográficos
Autores principales: Mougi, A., Kondoh, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4829910/
https://www.ncbi.nlm.nih.gov/pubmed/27071716
http://dx.doi.org/10.1038/srep24478
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author Mougi, A.
Kondoh, M.
author_facet Mougi, A.
Kondoh, M.
author_sort Mougi, A.
collection PubMed
description What allows interacting, diverse species to coexist in nature has been a central question in ecology, ever since the theoretical prediction that a complex community should be inherently unstable. Although the role of spatiality in species coexistence has been recognized, its application to more complex systems has been less explored. Here, using a meta-community model of food web, we show that meta-community complexity, measured by the number of local food webs and their connectedness, elicits a self-regulating, negative-feedback mechanism and thus stabilizes food-web dynamics. Moreover, the presence of meta-community complexity can give rise to a positive food-web complexity-stability effect. Spatiality may play a more important role in stabilizing dynamics of complex, real food webs than expected from ecological theory based on the models of simpler food webs.
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spelling pubmed-48299102016-04-19 Food-web complexity, meta-community complexity and community stability Mougi, A. Kondoh, M. Sci Rep Article What allows interacting, diverse species to coexist in nature has been a central question in ecology, ever since the theoretical prediction that a complex community should be inherently unstable. Although the role of spatiality in species coexistence has been recognized, its application to more complex systems has been less explored. Here, using a meta-community model of food web, we show that meta-community complexity, measured by the number of local food webs and their connectedness, elicits a self-regulating, negative-feedback mechanism and thus stabilizes food-web dynamics. Moreover, the presence of meta-community complexity can give rise to a positive food-web complexity-stability effect. Spatiality may play a more important role in stabilizing dynamics of complex, real food webs than expected from ecological theory based on the models of simpler food webs. Nature Publishing Group 2016-04-13 /pmc/articles/PMC4829910/ /pubmed/27071716 http://dx.doi.org/10.1038/srep24478 Text en Copyright © 2016, Macmillan Publishers Limited 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
Mougi, A.
Kondoh, M.
Food-web complexity, meta-community complexity and community stability
title Food-web complexity, meta-community complexity and community stability
title_full Food-web complexity, meta-community complexity and community stability
title_fullStr Food-web complexity, meta-community complexity and community stability
title_full_unstemmed Food-web complexity, meta-community complexity and community stability
title_short Food-web complexity, meta-community complexity and community stability
title_sort food-web complexity, meta-community complexity and community stability
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4829910/
https://www.ncbi.nlm.nih.gov/pubmed/27071716
http://dx.doi.org/10.1038/srep24478
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