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Mutualistic networks emerging from adaptive niche-based interactions

Author

Listed:
  • Weiran Cai

    (University of California at Davis
    UC Davis)

  • Jordan Snyder

    (UC Davis
    UC Davis)

  • Alan Hastings

    (UC Davis
    UC Davis
    Santa Fe Institute)

  • Raissa M. D’Souza

    (University of California at Davis
    UC Davis
    Santa Fe Institute)

Abstract

Mutualistic networks are vital ecological and social systems shaped by adaptation and evolution. They involve bipartite cooperation via the exchange of goods or services between actors of different types. Empirical observations of mutualistic networks across genres and geographic conditions reveal correlated nested and modular patterns. Yet, the underlying mechanism for the network assembly remains unclear. We propose a niche-based adaptive mechanism where both nestedness and modularity emerge simultaneously as complementary facets of an optimal niche structure. Key dynamical properties are revealed at different timescales. Foremost, mutualism can either enhance or reduce the network stability, depending on competition intensity. Moreover, structural adaptations are asymmetric, exhibiting strong hysteresis in response to environmental change. Finally, at the evolutionary timescale we show that the adaptive mechanism plays a crucial role in preserving the distinctive patterns of mutualism under species invasions and extinctions.

Suggested Citation

  • Weiran Cai & Jordan Snyder & Alan Hastings & Raissa M. D’Souza, 2020. "Mutualistic networks emerging from adaptive niche-based interactions," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-19154-5
    DOI: 10.1038/s41467-020-19154-5
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    Cited by:

    1. Dongli, Duan & Chengxing, Wu & Yuchen, Zhai & Changchun, Lv & Ning, Wang, 2022. "Coexistence mechanism of alien species and local ecosystem based on network dimensionality reduction method," Chaos, Solitons & Fractals, Elsevier, vol. 159(C).
    2. Leto Peel & Tiago P. Peixoto & Manlio De Domenico, 2022. "Statistical inference links data and theory in network science," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    3. Drechsler, Martin & Grimm, Volker, 2022. "Land-use hysteresis triggered by staggered payment schemes for more permanent biodiversity conservation," MPRA Paper 110361, University Library of Munich, Germany.

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