IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v515y2026ics0304380026000396.html

Guerrilla clonal growth strategy leads to amorphous pattern formation in a drylands vegetation model

Author

Listed:
  • Davin, Andrea
  • von Hardenberg, Jost
  • Berghuis, Paul M.J.
  • Mayor, Ángeles G.
  • Magazzino, Enrico
  • Rietkerk, Max
  • Veerman, Frits
  • Baudena, Mara

Abstract

Resource concentration in the vicinity of plants is observed in drylands as a result of various mechanisms, developed to cope with water scarcity. This often leads to self-organized spatial patterns that enhance drylands’ ecosystem resilience to environmental changes. Numerous vegetation dynamics models have been developed over the past few decades to study this pattern formation. Generally, they represent plant spatial spread as a diffusive process, which captures well species that reproduce via seed dispersal or through clonal growth following the “phalanx” strategy, characterized by slow, compact expansion. However, many dryland species exhibit “guerrilla” clonal growth, characterized by rapid, directional exploration of favourable areas, which is poorly captured by diffusion. To address this limitation, we introduce a novel term for lateral biomass expansion into a classical dryland model.

Suggested Citation

  • Davin, Andrea & von Hardenberg, Jost & Berghuis, Paul M.J. & Mayor, Ángeles G. & Magazzino, Enrico & Rietkerk, Max & Veerman, Frits & Baudena, Mara, 2026. "Guerrilla clonal growth strategy leads to amorphous pattern formation in a drylands vegetation model," Ecological Modelling, Elsevier, vol. 515(C).
  • Handle: RePEc:eee:ecomod:v:515:y:2026:i:c:s0304380026000396
    DOI: 10.1016/j.ecolmodel.2026.111510
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380026000396
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2026.111510?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:eee:ecomod:v:515:y:2026:i:c:s0304380026000396. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    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.