IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v389y2010i21p4725-4733.html
   My bibliography  Save this article

The role of predator overlap in the robustness and extinction of a four species predator–prey network

Author

Listed:
  • Hisi, Andreia N.S.
  • Guimarães, Paulo R.
  • de Aguiar, Marcus A.M.

Abstract

Predators and preys often form species networks with asymmetric patterns of interaction. We study the dynamics of a four species network consisting of two weakly connected predator–prey pairs. We focus our analysis on the effects of the cross interaction between the predator of the first pair and the prey of the second pair. This is an example where the predator overlap, which is the proportion of predators that a given prey shares with other preys, is not uniform across the network due to asymmetries in patterns of interaction. We explore the behavior of the system under different interaction strengths and study the dynamics of survival and extinction. In particular, we consider situations in which the four species have initial populations lower than their long-term equilibrium, simulating catastrophic situations in which their abundances are reduced due to human action or environmental change. We show that, under these reduced initial conditions, and depending on the strength of the cross interaction, the populations tend to oscillate before re-equilibrating, disturbing the community equilibrium and sometimes reaching values that are only a small fraction of the equilibrium population, potentially leading to their extinction. We predict that, contrary to one’s intuition, the most likely scenario is the extinction of the less predated preys.

Suggested Citation

  • Hisi, Andreia N.S. & Guimarães, Paulo R. & de Aguiar, Marcus A.M., 2010. "The role of predator overlap in the robustness and extinction of a four species predator–prey network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4725-4733.
  • Handle: RePEc:eee:phsmap:v:389:y:2010:i:21:p:4725-4733
    DOI: 10.1016/j.physa.2010.06.022
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437110005509
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2010.06.022?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. M. B. Bonsall & M. P. Hassell, 1997. "Apparent competition structures ecological assemblages," Nature, Nature, vol. 388(6640), pages 371-373, July.
    2. Perna, Andrea & Valverde, Sergi & Gautrais, Jacques & Jost, Christian & Solé, Ricard & Kuntz, Pascale & Theraulaz, Guy, 2008. "Topological efficiency in three-dimensional gallery networks of termite nests," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(24), pages 6235-6244.
    3. Sinha, Sitabhra, 2005. "Complexity vs. stability in small-world networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 346(1), pages 147-153.
    4. Huang, Chung-Yuan & Sun, Chuen-Tsai & Cheng, Chia-Ying & Hsieh, Ji-Lung, 2007. "Bridge and brick motifs in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 377(1), pages 340-350.
    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. Menezes, J. & Moura, B., 2022. "Pattern formation and coarsening dynamics in apparent competition models," Chaos, Solitons & Fractals, Elsevier, vol. 157(C).
    2. Fathin Faizah Said, 2017. "Global Banking on the Financial Network Modelling: Sectorial Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 49(2), pages 227-253, February.
    3. Heiberger, Raphael H., 2014. "Stock network stability in times of crisis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 376-381.
    4. Viana, Matheus P. & Fourcassié, Vincent & Perna, Andrea & Costa, Luciano da F. & Jost, Christian, 2013. "Accessibility in networks: A useful measure for understanding social insect nest architecture," Chaos, Solitons & Fractals, Elsevier, vol. 46(C), pages 38-45.
    5. Guénaël Cabanes & Ellen van Wilgenburg & Madeleine Beekman & Tanya Latty, 2015. "Ants build transportation networks that optimize cost and efficiency at the expense of robustness," Behavioral Ecology, International Society for Behavioral Ecology, vol. 26(1), pages 223-231.
    6. Kim, Jongkwang & Wilhelm, Thomas, 2008. "What is a complex graph?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(11), pages 2637-2652.
    7. Sheri Markose & Simone Giansante & Mateusz Gatkowski & Ali Rais Shaghaghi, 2010. "Too Interconnected To Fail: Financial Contagion and Systemic Risk In Network Model of CDS and Other Credit Enhancement Obligations of US Banks," Working Papers 033, COMISEF.
    8. Manica, Mattia & Rosà , Roberto & Pugliese, Andrea & Bolzoni, Luca, 2013. "Exclusion and spatial segregation in the apparent competition between two hosts sharing macroparasites," Theoretical Population Biology, Elsevier, vol. 86(C), pages 12-22.
    9. Ms. Sheri M. Markose, 2012. "Systemic Risk from Global Financial Derivatives: A Network Analysis of Contagion and Its Mitigation with Super-Spreader Tax," IMF Working Papers 2012/282, International Monetary Fund.
    10. Giansante, Simone & Manfredi, Sabato & Markose, Sheri, 2023. "Fair immunization and network topology of complex financial ecosystems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 612(C).
    11. Markose, Sheri & Giansante, Simone & Shaghaghi, Ali Rais, 2012. "‘Too interconnected to fail’ financial network of US CDS market: Topological fragility and systemic risk," Journal of Economic Behavior & Organization, Elsevier, vol. 83(3), pages 627-646.
    12. Samuel Ellis & Daniel W. Franks & Elva J.H. Robinson, 2014. "Resource redistribution in polydomous ant nest networks: local or global?," Behavioral Ecology, International Society for Behavioral Ecology, vol. 25(5), pages 1183-1191.
    13. Salehi, Mostafa & Rabiee, Hamid R. & Jalili, Mahdi, 2010. "Motif structure and cooperation in real-world complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(23), pages 5521-5529.

    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:phsmap:v:389:y:2010:i:21:p:4725-4733. 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/physica-a-statistical-mechpplications/ .

    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.