Literature DB >> 32396810

Predicting collapse of complex ecological systems: quantifying the stability-complexity continuum.

Susanne Pettersson1, Van M Savage2,3, Martin Nilsson Jacobi1.   

Abstract

Dynamical shifts between the extremes of stability and collapse are hallmarks of ecological systems. These shifts are limited by and change with biodiversity, complexity, and the topology and hierarchy of interactions. Most ecological research has focused on identifying conditions for a system to shift from stability to any degree of instability-species abundances do not return to exact same values after perturbation. Real ecosystems likely have a continuum of shifting between stability and collapse that depends on the specifics of how the interactions are structured, as well as the type and degree of disturbance due to environmental change. Here we map boundaries for the extremes of strict stability and collapse. In between these boundaries, we find an intermediate regime that consists of single-species extinctions, which we call the extinction continuum. We also develop a metric that locates the position of the system within the extinction continuum-thus quantifying proximity to stability or collapse-in terms of ecologically measurable quantities such as growth rates and interaction strengths. Furthermore, we provide analytical and numerical techniques for estimating our new metric. We show that our metric does an excellent job of capturing the system's behaviour in comparison with other existing methods-such as May's stability criteria or critical slowdown. Our metric should thus enable deeper insights about how to classify real systems in terms of their overall dynamics and their limits of stability and collapse.

Keywords:  Lotka–Volterra dynamics; complexity; interaction network; population dynamics; resilience; structural stability

Mesh:

Year:  2020        PMID: 32396810      PMCID: PMC7276551          DOI: 10.1098/rsif.2019.0391

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  47 in total

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4.  Evidence of universality for the May-Wigner stability theorem for random networks with local dynamics.

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7.  Generalized models reveal stabilizing factors in food webs.

Authors:  Thilo Gross; Lars Rudolf; Simon A Levin; Ulf Dieckmann
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8.  The multilayer nature of ecological networks.

Authors:  Shai Pilosof; Mason A Porter; Mercedes Pascual; Sonia Kéfi
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9.  Generic indicators for loss of resilience before a tipping point leading to population collapse.

Authors:  Lei Dai; Daan Vorselen; Kirill S Korolev; Jeff Gore
Journal:  Science       Date:  2012-06-01       Impact factor: 47.728

10.  The feasibility and stability of large complex biological networks: a random matrix approach.

Authors:  Lewi Stone
Journal:  Sci Rep       Date:  2018-05-29       Impact factor: 4.379

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  4 in total

1.  Predicting collapse of complex ecological systems: quantifying the stability-complexity continuum.

Authors:  Susanne Pettersson; Van M Savage; Martin Nilsson Jacobi
Journal:  J R Soc Interface       Date:  2020-05-13       Impact factor: 4.118

2.  Spatial coherence and the persistence of high diversity in spatially heterogeneous landscapes.

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3.  Spatial heterogeneity enhance robustness of large multi-species ecosystems.

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4.  Convergency and Stability Responses of Bacterial Communities to Salinization in Arid and Semiarid Areas: Implications for Global Climate Change in Lake Ecosystems.

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Journal:  Front Microbiol       Date:  2022-01-04       Impact factor: 5.640

  4 in total

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