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Disturbance, neutral theory, and patterns of beta diversity in soil communities

Beta diversity describes how local communities within an area or region differ in species composition/abundance. There have been attempts to use changes in beta diversity as a biotic indicator of disturbance, but lack of theory and methodological caveats have hampered progress. We here propose that...

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Autores principales: Maaß, Stefanie, Migliorini, Massimo, Rillig, Matthias C, Caruso, Tancredi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4278825/
https://www.ncbi.nlm.nih.gov/pubmed/25558367
http://dx.doi.org/10.1002/ece3.1313
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author Maaß, Stefanie
Migliorini, Massimo
Rillig, Matthias C
Caruso, Tancredi
author_facet Maaß, Stefanie
Migliorini, Massimo
Rillig, Matthias C
Caruso, Tancredi
author_sort Maaß, Stefanie
collection PubMed
description Beta diversity describes how local communities within an area or region differ in species composition/abundance. There have been attempts to use changes in beta diversity as a biotic indicator of disturbance, but lack of theory and methodological caveats have hampered progress. We here propose that the neutral theory of biodiversity plus the definition of beta diversity as the total variance of a community matrix provide a suitable, novel, starting point for ecological applications. Observed levels of beta diversity (BD) can be compared to neutral predictions with three possible outcomes: Observed BD equals neutral prediction or is larger (divergence) or smaller (convergence) than the neutral prediction. Disturbance might lead to either divergence or convergence, depending on type and strength. We here apply these ideas to datasets collected on oribatid mites (a key, very diverse soil taxon) under several regimes of disturbances. When disturbance is expected to increase the heterogeneity of soil spatial properties or the sampling strategy encompassed a range of diverging environmental conditions, we observed diverging assemblages. On the contrary, we observed patterns consistent with neutrality when disturbance could determine homogenization of soil properties in space or the sampling strategy encompassed fairly homogeneous areas. With our method, spatial and temporal changes in beta diversity can be directly and easily monitored to detect significant changes in community dynamics, although the method itself cannot inform on underlying mechanisms. However, human-driven disturbances and the spatial scales at which they operate are usually known. In this case, our approach allows the formulation of testable predictions in terms of expected changes in beta diversity, thereby offering a promising monitoring tool.
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spelling pubmed-42788252015-01-02 Disturbance, neutral theory, and patterns of beta diversity in soil communities Maaß, Stefanie Migliorini, Massimo Rillig, Matthias C Caruso, Tancredi Ecol Evol Original Research Beta diversity describes how local communities within an area or region differ in species composition/abundance. There have been attempts to use changes in beta diversity as a biotic indicator of disturbance, but lack of theory and methodological caveats have hampered progress. We here propose that the neutral theory of biodiversity plus the definition of beta diversity as the total variance of a community matrix provide a suitable, novel, starting point for ecological applications. Observed levels of beta diversity (BD) can be compared to neutral predictions with three possible outcomes: Observed BD equals neutral prediction or is larger (divergence) or smaller (convergence) than the neutral prediction. Disturbance might lead to either divergence or convergence, depending on type and strength. We here apply these ideas to datasets collected on oribatid mites (a key, very diverse soil taxon) under several regimes of disturbances. When disturbance is expected to increase the heterogeneity of soil spatial properties or the sampling strategy encompassed a range of diverging environmental conditions, we observed diverging assemblages. On the contrary, we observed patterns consistent with neutrality when disturbance could determine homogenization of soil properties in space or the sampling strategy encompassed fairly homogeneous areas. With our method, spatial and temporal changes in beta diversity can be directly and easily monitored to detect significant changes in community dynamics, although the method itself cannot inform on underlying mechanisms. However, human-driven disturbances and the spatial scales at which they operate are usually known. In this case, our approach allows the formulation of testable predictions in terms of expected changes in beta diversity, thereby offering a promising monitoring tool. Blackwell Publishing Ltd 2014-12 2014-12-02 /pmc/articles/PMC4278825/ /pubmed/25558367 http://dx.doi.org/10.1002/ece3.1313 Text en © 2014 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Maaß, Stefanie
Migliorini, Massimo
Rillig, Matthias C
Caruso, Tancredi
Disturbance, neutral theory, and patterns of beta diversity in soil communities
title Disturbance, neutral theory, and patterns of beta diversity in soil communities
title_full Disturbance, neutral theory, and patterns of beta diversity in soil communities
title_fullStr Disturbance, neutral theory, and patterns of beta diversity in soil communities
title_full_unstemmed Disturbance, neutral theory, and patterns of beta diversity in soil communities
title_short Disturbance, neutral theory, and patterns of beta diversity in soil communities
title_sort disturbance, neutral theory, and patterns of beta diversity in soil communities
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4278825/
https://www.ncbi.nlm.nih.gov/pubmed/25558367
http://dx.doi.org/10.1002/ece3.1313
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