IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v512y2026ics0304380025004065.html

Persistence of small populations under seasonal resource fluctuations

Author

Listed:
  • Oliveira, Viviane M.
  • Ferreira, Fernando Fagundes
  • Nguessap, Ediline L.F.
  • Campos, Paulo R.A.

Abstract

Populations that remain at critical low sizes are acutely sensitive to random fluctuations in birth–death processes and to the accumulation of mildly deleterious mutations. We begin with a deterministic consumer–resource model featuring seasonally forced inputs, and based on this framework, we develop an individual-based, discrete-generation stochastic simulation to capture demographic and mutational randomness. The phase diagram of the deterministic model reveals the existence of three distinct regimes: one in which the population goes extinct, a second regime in which the population remains at a finite size, and finally a third non-physical regime observed at low mortality rates. Our simulation outcomes address the second regime. Two easily measured statistics – the minimum influx smin and the fraction of each cycle spent below a critical threshold, τ/T – are predictors of extinction. We demonstrate that enhancing long-term population persistence by increasing the peak of resource influx, reducing oscillation amplitude, or phase-shifting multiple resources out of sync is possible.

Suggested Citation

  • Oliveira, Viviane M. & Ferreira, Fernando Fagundes & Nguessap, Ediline L.F. & Campos, Paulo R.A., 2026. "Persistence of small populations under seasonal resource fluctuations," Ecological Modelling, Elsevier, vol. 512(C).
  • Handle: RePEc:eee:ecomod:v:512:y:2026:i:c:s0304380025004065
    DOI: 10.1016/j.ecolmodel.2025.111420
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380025004065
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2025.111420?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:512:y:2026:i:c:s0304380025004065. 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.