IDEAS home Printed from https://ideas.repec.org/a/eee/thpobi/v148y2022icp40-45.html
   My bibliography  Save this article

Competitive exclusion in a model with seasonality: Three species cannot coexist in an ecosystem with two seasons

Author

Listed:
  • Tung, Hwai-Ray
  • Durrett, Rick

Abstract

Chan, Durrett, and Lanchier introduced a multitype contact process with temporal heterogeneity involving two species competing for space on the d-dimensional integer lattice. Time is divided into two seasons. They proved that there is an open set of the parameters for which both species can coexist when their dispersal range is sufficiently large. Numerical simulations suggested that three species can coexist in the presence of two seasons. The main point of this paper is to prove that this conjecture is incorrect. To do this we prove results for a more general ODE model and contrast its behavior with other related systems that have been studied in order to understand the competitive exclusion principle.

Suggested Citation

  • Tung, Hwai-Ray & Durrett, Rick, 2022. "Competitive exclusion in a model with seasonality: Three species cannot coexist in an ecosystem with two seasons," Theoretical Population Biology, Elsevier, vol. 148(C), pages 40-45.
  • Handle: RePEc:eee:thpobi:v:148:y:2022:i:c:p:40-45
    DOI: 10.1016/j.tpb.2022.09.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S004058092200065X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tpb.2022.09.002?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.

    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:thpobi:v:148:y:2022:i:c:p:40-45. 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: https://www.journals.elsevier.com/intelligence .

    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.