IDEAS home Printed from https://ideas.repec.org/a/eee/matcom/v209y2023icp299-323.html
   My bibliography  Save this article

Role of predation efficiency in prey–predator dynamics incorporating switching effect

Author

Listed:
  • Saha, Sangeeta
  • Sahoo, Debgopal
  • Samanta, Guruprasad

Abstract

In the context of foraging behaviour, a species can be classified as a generalist or a specialist based on the breadth of their diet. Specialist species have a restricted diet and occupy a much narrower niche, whereas generalist species consume a wide range of resources and thrive in a variety of habitats. In this article, we propose an ecological model with two types of prey, with different fertility rates and nutritional levels, devoured by their respective specialist and the generalist predators. Further, it is assumed that the hunting process of generalist predator follows the switching mechanism. The growth of generalist predator is also influenced by external food sources and intra-specific competition. Our analyses reveal that the only species that may suffer extinction possibility are the specialist predators. The specialists relying on higher reproducing prey may face the danger of extinction, but this is not the case for those specialist predators that consume nourishing prey. Coexistence of all species is achievable if (i) specialists are sufficiently efficient in comparison to the number of available prey and (ii) the expansion of generalist predator is reduced due to shortage of external food sources. For lower hunting efficiency of both the specialist predators, the coexistence of all specialists with the generalist is expected to be unachievable in nature. In this case, only the specialist who consumes more reproductive and nutritious prey may cohabit with the generalist. Our findings may provide possibilities for empirical research on individual specialization.

Suggested Citation

  • Saha, Sangeeta & Sahoo, Debgopal & Samanta, Guruprasad, 2023. "Role of predation efficiency in prey–predator dynamics incorporating switching effect," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 209(C), pages 299-323.
  • Handle: RePEc:eee:matcom:v:209:y:2023:i:c:p:299-323
    DOI: 10.1016/j.matcom.2023.02.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378475423000897
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.matcom.2023.02.017?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. Das, Bijoy Kumar & Sahoo, Debgopal & Samanta, G.P., 2022. "Impact of fear in a delay-induced predator–prey system with intraspecific competition within predator species," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 191(C), pages 134-156.
    2. Erin C. Powell & Lisa A. Taylor, 2017. "Specialists and generalists coexist within a population of spider-hunting mud dauber wasps," Behavioral Ecology, International Society for Behavioral Ecology, vol. 28(3), pages 890-898.
    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. Bi, Zhimin & Liu, Shutang & Ouyang, Miao, 2022. "Spatial dynamics of a fractional predator-prey system with time delay and Allee effect," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    2. Haoming Shi & Fei Xu & Jinfu Cheng & Victor Shi, 2023. "Exploring the Evolution of the Food Chain under Environmental Pollution with Mathematical Modeling and Numerical Simulation," Sustainability, MDPI, vol. 15(13), pages 1-17, June.
    3. Dutta, Protyusha & Sahoo, Debgopal & Mondal, Sudeshna & Samanta, Guruprasad, 2022. "Dynamical complexity of a delay-induced eco-epidemic model with Beddington–DeAngelis incidence rate," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 197(C), pages 45-90.
    4. Nirapada Santra & Sudeshna Mondal & Guruprasad Samanta, 2022. "Complex Dynamics of a Predator–Prey Interaction with Fear Effect in Deterministic and Fluctuating Environments," Mathematics, MDPI, vol. 10(20), pages 1-38, October.
    5. Sajan, & Dubey, Balram & Sasmal, Sourav Kumar, 2022. "Chaotic dynamics of a plankton-fish system with fear and its carry over effects in the presence of a discrete delay," Chaos, Solitons & Fractals, Elsevier, vol. 160(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:matcom:v:209:y:2023:i:c:p:299-323. 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/mathematics-and-computers-in-simulation/ .

    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.