Unifying relationships between complexity and stability in mutualistic ecological communities

Conserving ecosystem function and associated services requires deep understanding of the underlying basis of system stability. While the study of ecological dynamics is a mature and diverse field, the lack of a general model that predicts a broad range of theoretical and empirical observations has a...

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Main Authors: Feng, W, Bailey, R
Format: Journal article
Published: Elsevier 2017
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author Feng, W
Bailey, R
author_facet Feng, W
Bailey, R
author_sort Feng, W
collection OXFORD
description Conserving ecosystem function and associated services requires deep understanding of the underlying basis of system stability. While the study of ecological dynamics is a mature and diverse field, the lack of a general model that predicts a broad range of theoretical and empirical observations has allowed unresolved contradictions to persist. Here we provide a general model of mutualistic ecological interactions between two groups and show for the first time how the conditions for bi-stability, the nature of critical transitions, and identifiable leading indicators in time-series can be derived from the basic parameters describing the underlying ecological interactions. Strong mutualism and nonlinearity in handling-time are found to be necessary conditions for the occurrence of critical transitions. We use the model to resolve open questions concerning the effects of heterogeneity in inter-species interactions on both resilience and abundance, and discuss these in terms of potential trade-offs in real systems. This framework provides a basis for rich investigations of ecological system dynamics, and may be generalisable across many ecological contexts.
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spelling oxford-uuid:a7f23389-ebc1-4c95-b49a-b1207b8d7f9b2022-03-27T02:57:57ZUnifying relationships between complexity and stability in mutualistic ecological communitiesJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a7f23389-ebc1-4c95-b49a-b1207b8d7f9bSymplectic Elements at OxfordElsevier2017Feng, WBailey, RConserving ecosystem function and associated services requires deep understanding of the underlying basis of system stability. While the study of ecological dynamics is a mature and diverse field, the lack of a general model that predicts a broad range of theoretical and empirical observations has allowed unresolved contradictions to persist. Here we provide a general model of mutualistic ecological interactions between two groups and show for the first time how the conditions for bi-stability, the nature of critical transitions, and identifiable leading indicators in time-series can be derived from the basic parameters describing the underlying ecological interactions. Strong mutualism and nonlinearity in handling-time are found to be necessary conditions for the occurrence of critical transitions. We use the model to resolve open questions concerning the effects of heterogeneity in inter-species interactions on both resilience and abundance, and discuss these in terms of potential trade-offs in real systems. This framework provides a basis for rich investigations of ecological system dynamics, and may be generalisable across many ecological contexts.
spellingShingle Feng, W
Bailey, R
Unifying relationships between complexity and stability in mutualistic ecological communities
title Unifying relationships between complexity and stability in mutualistic ecological communities
title_full Unifying relationships between complexity and stability in mutualistic ecological communities
title_fullStr Unifying relationships between complexity and stability in mutualistic ecological communities
title_full_unstemmed Unifying relationships between complexity and stability in mutualistic ecological communities
title_short Unifying relationships between complexity and stability in mutualistic ecological communities
title_sort unifying relationships between complexity and stability in mutualistic ecological communities
work_keys_str_mv AT fengw unifyingrelationshipsbetweencomplexityandstabilityinmutualisticecologicalcommunities
AT baileyr unifyingrelationshipsbetweencomplexityandstabilityinmutualisticecologicalcommunities