Cargando…

Beyond connectedness: why pairwise metrics cannot capture community stability

The connectedness of species in a trophic web has long been a key structural characteristic for both theoreticians and empiricists in their understanding of community stability. In the past decades, there has been a shift from focussing on determining the number of interactions to taking into accoun...

Descripción completa

Detalles Bibliográficos
Autores principales: Neutel, Anje‐Margriet, Thorne, Michael A. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5513267/
https://www.ncbi.nlm.nih.gov/pubmed/28725392
http://dx.doi.org/10.1002/ece3.2461
_version_ 1783250626868674560
author Neutel, Anje‐Margriet
Thorne, Michael A. S.
author_facet Neutel, Anje‐Margriet
Thorne, Michael A. S.
author_sort Neutel, Anje‐Margriet
collection PubMed
description The connectedness of species in a trophic web has long been a key structural characteristic for both theoreticians and empiricists in their understanding of community stability. In the past decades, there has been a shift from focussing on determining the number of interactions to taking into account their relative strengths. The question is: How do the strengths of the interactions determine the stability of a community? Recently, a metric has been proposed which compares the stability of observed communities in terms of the strength of three‐ and two‐link feedback loops (cycles of interaction strengths). However, it has also been suggested that we do not need to go beyond the pairwise structure of interactions to capture stability. Here, we directly compare the performance of the feedback and pairwise metrics. Using observed food‐web structures, we show that the pairwise metric does not work as a comparator of stability and is many orders of magnitude away from the actual stability values. We argue that metrics based on pairwise‐strength information cannot capture the complex organization of strong and weak links in a community, which is essential for system stability.
format Online
Article
Text
id pubmed-5513267
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-55132672017-07-19 Beyond connectedness: why pairwise metrics cannot capture community stability Neutel, Anje‐Margriet Thorne, Michael A. S. Ecol Evol Original Research The connectedness of species in a trophic web has long been a key structural characteristic for both theoreticians and empiricists in their understanding of community stability. In the past decades, there has been a shift from focussing on determining the number of interactions to taking into account their relative strengths. The question is: How do the strengths of the interactions determine the stability of a community? Recently, a metric has been proposed which compares the stability of observed communities in terms of the strength of three‐ and two‐link feedback loops (cycles of interaction strengths). However, it has also been suggested that we do not need to go beyond the pairwise structure of interactions to capture stability. Here, we directly compare the performance of the feedback and pairwise metrics. Using observed food‐web structures, we show that the pairwise metric does not work as a comparator of stability and is many orders of magnitude away from the actual stability values. We argue that metrics based on pairwise‐strength information cannot capture the complex organization of strong and weak links in a community, which is essential for system stability. John Wiley and Sons Inc. 2016-09-16 /pmc/articles/PMC5513267/ /pubmed/28725392 http://dx.doi.org/10.1002/ece3.2461 Text en © 2016 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Neutel, Anje‐Margriet
Thorne, Michael A. S.
Beyond connectedness: why pairwise metrics cannot capture community stability
title Beyond connectedness: why pairwise metrics cannot capture community stability
title_full Beyond connectedness: why pairwise metrics cannot capture community stability
title_fullStr Beyond connectedness: why pairwise metrics cannot capture community stability
title_full_unstemmed Beyond connectedness: why pairwise metrics cannot capture community stability
title_short Beyond connectedness: why pairwise metrics cannot capture community stability
title_sort beyond connectedness: why pairwise metrics cannot capture community stability
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5513267/
https://www.ncbi.nlm.nih.gov/pubmed/28725392
http://dx.doi.org/10.1002/ece3.2461
work_keys_str_mv AT neutelanjemargriet beyondconnectednesswhypairwisemetricscannotcapturecommunitystability
AT thornemichaelas beyondconnectednesswhypairwisemetricscannotcapturecommunitystability