2014
DOI: 10.1126/science.1253497
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On the structural stability of mutualistic systems

Abstract: A structural approach to species interactions What determines the stability of ecological networks? Rohr et al. devised a conceptual approach to study interactions between species that emphasizes the role of network structure (see the Perspective by Pawar). Using the example of mutualistic networks of communities of plants and their pollinator species, they show how the structure of networks can determine the persistence of the interactions. Network structures and… Show more

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Cited by 490 publications
(801 citation statements)
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“…For instance, Allesina and Tang (2012) reconfirmed that asymptotic stability is negatively affected by nestedness in bipartite mutualistic networks, and as such at ecological time scales, an ecosystem dominated by mutualistic interactions is likely unstable and species poor. In contrast, mutualistic communities can maximise structural stability through potentially enhanced nestedness (Rohr et al 2014); that is, at long-term time scales, mutualistic interactions can act as a stabilizing force and restrict diversification (Raimundo et al 2014). Invasibility also shows strong positive correlations (p \ 0.0001) with all three measurements of network architecture (with quantitative connectance, r = 0.266; with nestedness, r = 0.179; with modularity, r = 0.324).…”
Section: Network Structure and Stabilitymentioning
confidence: 84%
“…For instance, Allesina and Tang (2012) reconfirmed that asymptotic stability is negatively affected by nestedness in bipartite mutualistic networks, and as such at ecological time scales, an ecosystem dominated by mutualistic interactions is likely unstable and species poor. In contrast, mutualistic communities can maximise structural stability through potentially enhanced nestedness (Rohr et al 2014); that is, at long-term time scales, mutualistic interactions can act as a stabilizing force and restrict diversification (Raimundo et al 2014). Invasibility also shows strong positive correlations (p \ 0.0001) with all three measurements of network architecture (with quantitative connectance, r = 0.266; with nestedness, r = 0.179; with modularity, r = 0.324).…”
Section: Network Structure and Stabilitymentioning
confidence: 84%
“…A high connectance may have a strong stabilizing role via functional redundancy, and a nested interaction pattern of interactions might also facilitate the maintenance of species coexistence 27 , provide resistance against perturbations 28 and maximize total abundance 29 . However, there is currently a strong debate about the stabilizing role of nestedness 30 . The lack of modules in the Galápagos bird-flower network is attributed to the large bulk of interactions among generalists 25,31 , which glues all species tightly together.…”
Section: Discussionmentioning
confidence: 99%
“…By allowing consumers to readjust their exploited resources via updating the interaction matrix, our model successfully captured the essence of the structural emergence and the process of stabilization in antagonistic networks (see the electronic supplementary material, figure S7), suggesting that a network model implementing all relevant evolutionary processes is a better proxy than a rigid network for ecological communities and that the adaptive interaction switch is important for forecasting the response of ecosystems to environmental changes and perturbations [18,57], without ignoring the behavioural innovation from random drift that can further broaden the evolutionary trajectory. To this end, we should also consider structural stability [58] or more generally evolutionary stability of ecological networks. Since Lyapunov and evolutionary stability reflect different aspects of interaction networks, they have different implications for understanding network resilience.…”
Section: Discussionmentioning
confidence: 99%