IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v500y2013i7463d10.1038_nature12438.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature12438
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1038/nature12438?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. 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).
    3. 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.
    4. 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).
    5. Sandra Hervías-Parejo & Mar Cuevas-Blanco & Lucas Lacasa & Anna Traveset & Isabel Donoso & Ruben Heleno & Manuel Nogales & Susana Rodríguez-Echeverría & Carlos J. Melián & Victor M. Eguíluz, 2024. "On the structure of species-function participation in multilayer ecological networks," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    6. 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.
    7. 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.
    8. 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).
    9. 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.
    10. 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.
    11. 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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:500:y:2013:i:7463:d:10.1038_nature12438. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.