IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v492y2024ics0304380024000814.html
   My bibliography  Save this article

Heterogeneity in the resource landscape encourages increased cognitive and perceptive capabilities in foragers

Author

Listed:
  • Gibbs, Richard
  • Landi, Pietro
  • Hui, Cang

Abstract

Foraging for resources is a fundamental animal activity. Successful and efficient foraging will ultimately lead to both indirect and direct selective advantages by providing animals with the time and resources needed to fulfil other life demands. The performance of a forager is ultimately determined by its behaviour and ability once placed within the context of its environment. As such, the environment of a forager is likely to have had a substantial effect on its perceptive and cognitive abilities. Here, we investigate the effect of various forms of heterogeneity (non-randomness) in resource distributions on the efficacy of forager cognisance (the degree to which it can learn its environment). To this end, several foraging strategies utilising different degrees of cognisance are assessed and compared across multiple simulated landscapes. It is shown that both increases in resource heterogeneity and broad-scale cognitive abilities (memory and learning) can lead to an improved foraging performance. Increased resource heterogeneity is also shown to favour the use of the broad-scale cognitive abilities. Importantly however, these results are dependent on the forager being able to first maintain an adequate perception of its local environment (via its sensory and short-term memory capabilities). If a forager's localised perception is limited, either increased resource heterogeneity or the use of broad-scale cognitive abilities may instead reduce the forager's performance. These observations ultimately call into question the use of advanced (and therefore expensive) cognisance in homogeneous environments or when the ability to form a localised perception is restricted.

Suggested Citation

  • Gibbs, Richard & Landi, Pietro & Hui, Cang, 2024. "Heterogeneity in the resource landscape encourages increased cognitive and perceptive capabilities in foragers," Ecological Modelling, Elsevier, vol. 492(C).
  • Handle: RePEc:eee:ecomod:v:492:y:2024:i:c:s0304380024000814
    DOI: 10.1016/j.ecolmodel.2024.110693
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380024000814
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2024.110693?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.

    References listed on IDEAS

    as
    1. LaScala-Gruenewald, Diana E. & Mehta, Rohan S. & Liu, Yu & Denny, Mark W., 2019. "Sensory perception plays a larger role in foraging efficiency than heavy-tailed movement strategies," Ecological Modelling, Elsevier, vol. 404(C), pages 69-82.
    2. Jacob D Davidson & Ahmed El Hady, 2019. "Foraging as an evidence accumulation process," PLOS Computational Biology, Public Library of Science, vol. 15(7), pages 1-25, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wood, Kevin A. & Hilton, Geoff M. & Newth, Julia L. & Rees, Eileen C., 2019. "Seasonal variation in energy gain explains patterns of resource use by avian herbivores in an agricultural landscape: Insights from a mechanistic model," Ecological Modelling, Elsevier, vol. 409(C), pages 1-1.

    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:492:y:2024:i:c:s0304380024000814. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.