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Pattern formation at multiple spatial scales drives the resilience of mussel bed ecosystems

Author

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  • Quan-Xing Liu

    (Royal Netherlands Institute for Sea Research
    Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam)

  • Peter M. J. Herman

    (Royal Netherlands Institute for Sea Research)

  • Wolf M. Mooij

    (Netherlands Institute of Ecology
    Aquatic Ecology and Water Quality Management Group, Wageningen University)

  • Jef Huisman

    (Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam)

  • Marten Scheffer

    (Aquatic Ecology and Water Quality Management Group, Wageningen University)

  • Han Olff

    (Community and Conservation Ecology Group, Centre for Ecological and Evolutionary Studies, University of Groningen)

  • Johan van de Koppel

    (Royal Netherlands Institute for Sea Research
    Community and Conservation Ecology Group, Centre for Ecological and Evolutionary Studies, University of Groningen)

Abstract

Self-organized complexity at multiple spatial scales is a distinctive characteristic of biological systems. Yet, little is known about how different self-organizing processes operating at different spatial scales interact to determine ecosystem functioning. Here we show that the interplay between self-organizing processes at individual and ecosystem level is a key determinant of the functioning and resilience of mussel beds. In mussel beds, self-organization generates spatial patterns at two characteristic spatial scales: small-scale net-shaped patterns due to behavioural aggregation of individuals, and large-scale banded patterns due to the interplay of between-mussel facilitation and resource depletion. Model analysis reveals that the interaction between these behavioural and ecosystem-level mechanisms increases mussel bed resilience, enables persistence under deteriorating conditions and makes them less prone to catastrophic collapse. Our analysis highlights that interactions between different forms of self-organization at multiple spatial scales may enhance the intrinsic ability of ecosystems to withstand both natural and human-induced disturbances.

Suggested Citation

  • Quan-Xing Liu & Peter M. J. Herman & Wolf M. Mooij & Jef Huisman & Marten Scheffer & Han Olff & Johan van de Koppel, 2014. "Pattern formation at multiple spatial scales drives the resilience of mussel bed ecosystems," Nature Communications, Nature, vol. 5(1), pages 1-7, December.
  • Handle: RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms6234
    DOI: 10.1038/ncomms6234
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    1. Yurek, Simeon & Eaton, Mitchell J. & Lavaud, Romain & Laney, R. Wilson & DeAngelis, Donald L. & Pine, William E. & La Peyre, Megan & Martin, Julien & Frederick, Peter & Wang, Hongqing & Lowe, Michael , 2021. "Modeling structural mechanics of oyster reef self-organization including environmental constraints and community interactions," Ecological Modelling, Elsevier, vol. 440(C).
    2. Wang, Jin-Shan & Wu, Yong-Ping & Li, Li & Sun, Gui-Quan, 2020. "Effect of mobility and predator switching on the dynamical behavior of a predator-prey model," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).
    3. Anjos, Lucas dos & Costa, Michel Iskin da S. & Almeida, Regina C., 2020. "Characterizing the existence of hydra effect in spatial predator-prey models and the influence of functional response types and species dispersal," Ecological Modelling, Elsevier, vol. 428(C).
    4. Roeland C. van de Vijsel & Jim van Belzen & Tjeerd J. Bouma & Daphne van der Wal & Bas W. Borsje & Stijn Temmerman & Loreta Cornacchia & Olivier Gourgue & Johan van de Koppel, 2023. "Vegetation controls on channel network complexity in coastal wetlands," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    5. Wu, Zeyan & Li, Jianjuan & Li, Jing & Liu, Shuying & Zhou, Liuting & Luo, Yang, 2017. "Pattern formations of an epidemic model with Allee effect and time delay," Chaos, Solitons & Fractals, Elsevier, vol. 104(C), pages 599-606.

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