IDEAS home Printed from https://ideas.repec.org/a/eee/thpobi/v153y2023icp15-36.html
   My bibliography  Save this article

Evolutionarily stable levels of aposematic defence in prey populations

Author

Listed:
  • Scaramangas, Alan
  • Broom, Mark
  • Ruxton, Graeme D.
  • Rouviere, Anna

Abstract

Our understanding of aposematism (the conspicuous signalling of a defence for the deterrence of predators) has advanced notably since its first observation in the late nineteenth century. Indeed, it extends the scope of a well-established game-theoretical model of this very same process both from the analytical standpoint (by considering regimes of varying background mortality and colony size) and from the practical standpoint (by assessing its efficacy and limitations in predicting the evolution of prey traits in finite simulated populations). The nature of the manuscript at hand is more mathematical and its aim is two-fold: first, to determine the relationship between evolutionarily stable levels of defence and signal strength under various regimes of background mortality and colony size. Second, to compare these predictions with simulations of finite prey populations that are subject to random local mutation. We compare the roles of absolute resident fitness, mutant fitness and stochasticity in the evolution of prey traits and discuss the importance of population size in the above.

Suggested Citation

  • Scaramangas, Alan & Broom, Mark & Ruxton, Graeme D. & Rouviere, Anna, 2023. "Evolutionarily stable levels of aposematic defence in prey populations," Theoretical Population Biology, Elsevier, vol. 153(C), pages 15-36.
    • Handle: RePEc:eee:thpobi:v:153:y:2023:i:c:p:15-36
    DOI: 10.1016/j.tpb.2023.03.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040580923000114
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tpb.2023.03.001?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. Hannah M. Rowland & Graeme D. Ruxton & John Skelhorn, 2013. "Bitter taste enhances predatory biases against aggregations of prey with warning coloration," Behavioral Ecology, International Society for Behavioral Ecology, vol. 24(4), pages 942-948.
    2. Zakharova, L. & Meyer, K.M. & Seifan, M., 2019. "Trait-based modelling in ecology: A review of two decades of research," Ecological Modelling, Elsevier, vol. 407(C), pages 1-1.
    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. Pacini, Gaio Cesare & Bruschi, Piero & Ferretti, Lorenzo & Santoni, Margherita & Serafini, Francesco & Gaifami, Tommaso, 2023. "FunBies, a model for integrated assessment of functional biodiversity of weed communities in agro-ecosystem," Ecological Modelling, Elsevier, vol. 486(C).
    2. Lindh, Magnus & Manzoni, Stefano, 2021. "Plant evolution along the ‘fast–slow’ growth economics spectrum under altered precipitation regimes," Ecological Modelling, Elsevier, vol. 448(C).
    3. Syeda Saba Tassadduq & Shamim Akhtar & Muhammad Waheed & Nazneen Bangash & Durr-e- Nayab & Muhammad Majeed & Sanaullah Abbasi & Murad Muhammad & Abed Alataway & Ahmed Z. Dewidar & Hosam O. Elansary & , 2022. "Ecological Distribution Patterns of Wild Grasses and Abiotic Factors," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    4. Muhammad Majeed & Aqil Tariq & Sheikh Marifatul Haq & Muhammad Waheed & Muhammad Mushahid Anwar & Qingting Li & Muhammad Aslam & Sanaullah Abbasi & B. G. Mousa & Ahsan Jamil, 2022. "A Detailed Ecological Exploration of the Distribution Patterns of Wild Poaceae from the Jhelum District (Punjab), Pakistan," Sustainability, MDPI, vol. 14(7), pages 1-17, March.
    5. Zakharova, L. & Meyer, K.M. & Seifan, M., 2020. "Combining trait- and individual-based modelling to understand desert plant community dynamics," Ecological Modelling, Elsevier, vol. 434(C).

    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:153:y:2023:i:c:p:15-36. 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: 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.