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Emergence of structural and dynamical properties of ecological mutualistic networks

Author

Listed:
  • Samir Suweis

    (INFN, Università di Padova, Via Marzolo 8, 35131 Padova, Italy)

  • Filippo Simini

    (Biology and Computer Science, Northeastern University
    Institute of Physics, Budapest University of Technology and Economics Budafoki ut 8, Budapest H-1111, Hungary)

  • Jayanth R. Banavar

    (University of Maryland, College Park)

  • Amos Maritan

    (INFN, Università di Padova, Via Marzolo 8, 35131 Padova, Italy)

Abstract

Cooperation among species tends to result in mutualistic networks with a nested structure, which is thought to increase biodiversity and persistence but may be less stable than unstructured networks: here nested networks are shown to result from a mechanism that maximizes species abundances in mutualistic communities, and the abundance of nested species is found to be directly linked to the resilience of the community.

Suggested Citation

  • Samir Suweis & Filippo Simini & Jayanth R. Banavar & Amos Maritan, 2013. "Emergence of structural and dynamical properties of ecological mutualistic networks," Nature, Nature, vol. 500(7463), pages 449-452, August.
    • Handle: RePEc:nat:nature:v:500:y:2013:i:7463:d:10.1038_nature12438
    DOI: 10.1038/nature12438
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    Cited by:

    1. Tu, Chengyi & Luo, Jianhong & Fan, Ying & Pan, Xuwei, 2023. "Dimensionality reduction in stochastic complex dynamical networks," Chaos, Solitons & Fractals, Elsevier, vol. 175(P1).
    2. Jin-Hee Cho & Jianxi Gao, 2016. "Cyber War Game in Temporal Networks," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-16, February.
    3. Wang, Xiangrong & Peron, Thomas & Dubbeldam, Johan L.A. & Kéfi, Sonia & Moreno, Yamir, 2023. "Interspecific competition shapes the structural stability of mutualistic networks," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    4. Fabio Saracco & Riccardo Di Clemente & Andrea Gabrielli & Luciano Pietronero, 2015. "From Innovation to Diversification: A Simple Competitive Model," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-19, November.
    5. Huang, Shuhong & Wang, Xiangrong & Peng, Liyang & Xie, Jiarong & Sun, Jiachen & Hu, Yanqing, 2021. "Optimal compression for bipartite networks," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    6. Mika J. Straka & Guido Caldarelli & Tiziano Squartini & Fabio Saracco, 2017. "From Ecology to Finance (and Back?): Recent Advancements in the Analysis of Bipartite Networks," Papers 1710.10143, arXiv.org.
    7. Fraccascia, Luca & Yazan, Devrim Murat & Albino, Vito & Zijm, Henk, 2020. "The role of redundancy in industrial symbiotic business development: A theoretical framework explored by agent-based simulation," International Journal of Production Economics, Elsevier, vol. 221(C).
    8. Chengyi Tu & Joel Carr & Samir Suweis, 2016. "A Data Driven Network Approach to Rank Countries Production Diversity and Food Specialization," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-15, November.
    9. Chengyi Tu & Joel Carr & Samir Suweis, 2016. "A data driven network approach to rank countries production diversity and food specialization," Papers 1606.01270, arXiv.org.
    10. Matthieu Cristelli & Andrea Tacchella & Luciano Pietronero, 2015. "The Heterogeneous Dynamics of Economic Complexity," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-15, February.

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