Structural stability estimated through critical perturbation determines evolutionary persistence in mutualistic model ecosystems

Understanding the factors that influence the persistence and stability of complex ecological networks is a central focus of ecological research. Recent research into these factors has predominantly attempted to unveil the ecological processes and structural constraints that influence network stability. Comparatively little attention has been given to the consequences of evolutionary events, despite the fact that the interplay between ecology and evolution has been recognized as fundamental to understand the formation of ecological communities and predict their reaction to change. We extend existing mutualistic population dynamical models by incorporating evolutionary adaptation events to address this critical gap. We relate ecological aspects of mutualistic community stability to the stability of persistent evolutionary pathways. Our findings highlight the significance of the structural stability of ecological systems in predicting biodiversity loss under both evolutionary and environmental changes, particularly in relation to species-level selection. Notably, our simulations reveal that the evolution of mutualistic networks tends to increase a network-dependent parameter termed critical competition, which places systems in a regime in which mutualistic interactions enhance structural stability and, consequently, biodiversity. This research emphasizes the pivotal role of natural selection in shaping ecological networks, steering them towards reduced effective competition below a critical threshold where mutualistic interactions foster stability in the face of environmental change.

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Publication Details

Journal
Royal Society Open Science
Published
2025-08-01
DOI
https://doi.org/10.1098/rsos.250123
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Structural stability estimated through critical perturbation determines evolutionary persistence in mutualistic model ecosystems

Miguel Lurgi, Alberto Pascual‐García
2 links
Royal Society Open Science
Plant and animal studies
article

Structural stability estimated through critical perturbation determines evolutionary persistence in mutualistic model ecosystems

Miguel Lurgi, Alberto Pascual‐García
article en

Abstract

Understanding the factors that influence the persistence and stability of complex ecological networks is a central focus of ecological research. Recent research into these factors has predominantly attempted to unveil the ecological processes and structural constraints that influence network stability. Comparatively little attention has been given to the consequences of evolutionary events, despite the fact that the interplay between ecology and evolution has been recognized as fundamental to understand the formation of ecological communities and predict their reaction to change. We extend existing mutualistic population dynamical models by incorporating evolutionary adaptation events to address this critical gap. We relate ecological aspects of mutualistic community stability to the stability of persistent evolutionary pathways. Our findings highlight the significance of the structural stability of ecological systems in predicting biodiversity loss under both evolutionary and environmental changes, particularly in relation to species-level selection. Notably, our simulations reveal that the evolution of mutualistic networks tends to increase a network-dependent parameter termed critical competition, which places systems in a regime in which mutualistic interactions enhance structural stability and, consequently, biodiversity. This research emphasizes the pivotal role of natural selection in shaping ecological networks, steering them towards reduced effective competition below a critical threshold where mutualistic interactions foster stability in the face of environmental change.

Royal Society Open ScienceVol. 12(8)
Consejo Superior de Investigaciones Científicas (ES), Swansea University (GB), Station d’Écologie Théorique et Expérimentale (FR)
Agence Nationale de la Recherche, Centre National de la Recherche Scientifique, Ministerio de Ciencia y Tecnología, Consejo Superior de Investigaciones Científicas, H2020 European Research Council
Life in Land
Openalex Percentile: Top 84%
Plant and animal studies
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