IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v452y2021ics0304380021001575.html
   My bibliography  Save this article

The interplay between mutualism, competition and dispersal promotes species coexistence in a multiple interactions type system

Author

Listed:
  • Aliyu, Murtala Bello
  • Mohd, Mohd Hafiz

Abstract

The stability and maintenance of species biodiversity in the multiple interactions type systems have attracted much attention. Regardless of their nature, several forms of interactions are discovered to exhibit oscillatory behaviour. This large-amplitude oscillation also de-stabilizes populations of multiple species and raises species’ chances of extinction. A central question in ecology is how do we maintain community stability and species coexistence mechanisms in a multiple interactions type community. It is thought that the dynamics of mutualism support multi-species coexistence in a complex ecological system. Here, we extend a four-species multiple interactions type (e.g., resource-competitor-exploiter-mutualist) system by incorporating a local dispersal component. We then employ this model to assess how the combined impacts of dispersal, mutualism and competition shape species coexistence and community stability in this ecological system. Our findings show that the interplay of mutualism and competition affects the complexity of ecological dynamics in this multiple interactions type system with local dispersal. Using numerical simulation, we demonstrate how strong mutualism could stabilize the spatio-temporal dynamics. Employing bifurcation analysis, we also discover that mutualism essentially modifies this ecological community’s response to increasing competitive pressure on the resource species. These insights are evident in our findings through the emergence of intriguing dynamics where stable limit cycles alternate with unstable ones as competitive pressure varies. While alternative stable states are common in different ecological systems with mutualistic interactions, they are often stable, whereas, in our studies, we realize that there can be alternative stable or unstable states if the spatial dimension is considered through the incorporation of the diffusion component. Consequently, the long-term dynamics converge to multi-species coexistence outcomes either via a stable steady state or a limit cycle depending on species’ initial abundances. It is also observed that this complexity ceases when mutualism becomes strong enough. Additionally, the destabilization of species biodiversity phenomenon through the occurrence of limit cycles increasing in the amplitude of oscillations (with some species population densities approaching zero) is weakened in the presence of strong mutualistic strength and local dispersal. Overall, the joint effects of mutualism, competition and local dispersal result in different community compositions, and these insights may have significant consequences in conservation management and biological control strategies.

Suggested Citation

  • Aliyu, Murtala Bello & Mohd, Mohd Hafiz, 2021. "The interplay between mutualism, competition and dispersal promotes species coexistence in a multiple interactions type system," Ecological Modelling, Elsevier, vol. 452(C).
  • Handle: RePEc:eee:ecomod:v:452:y:2021:i:c:s0304380021001575
    DOI: 10.1016/j.ecolmodel.2021.109595
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380021001575
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2021.109595?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. Fath, Brian D., 2007. "Network mutualism: Positive community-level relations in ecosystems," Ecological Modelling, Elsevier, vol. 208(1), pages 56-67.
    2. Mohd, Mohd Hafiz & Md. Noorani, Mohd Salmi, 2021. "Local dispersal, trophic interactions and handling times mediate contrasting effects in prey-predator dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    3. Alberto Pascual-García & Ugo Bastolla, 2017. "Mutualism supports biodiversity when the direct competition is weak," Nature Communications, Nature, vol. 8(1), pages 1-13, April.
    4. Mohd, Mohd Hafiz, 2019. "Diversity in interaction strength promotes rich dynamical behaviours in a three-species ecological system," Applied Mathematics and Computation, Elsevier, vol. 353(C), pages 243-253.
    5. Iwata, Shigehide & Kobayashi, Kazuyuki & Higa, Shinichiro & Yoshimura, Jin & Tainaka, Kei-ichi, 2011. "A simple population theory for mutualism by the use of lattice gas model," Ecological Modelling, Elsevier, vol. 222(13), pages 2042-2048.
    6. Mohd, Mohd Hafiz & Murray, Rua & Plank, Michael J. & Godsoe, William, 2016. "Effects of dispersal and stochasticity on the presence–absence of multiple species," Ecological Modelling, Elsevier, vol. 342(C), pages 49-59.
    7. Mohd, Mohd Hafiz & Murray, Rua & Plank, Michael J. & Godsoe, William, 2017. "Effects of biotic interactions and dispersal on the presence-absence of multiple species," Chaos, Solitons & Fractals, Elsevier, vol. 99(C), pages 185-194.
    8. Salau, Kehinde & Schoon, Michael L. & Baggio, Jacopo A. & Janssen, Marco A., 2012. "Varying effects of connectivity and dispersal on interacting species dynamics," Ecological Modelling, Elsevier, vol. 242(C), pages 81-91.
    9. Moustafa, Mahmoud & Mohd, Mohd Hafiz & Ismail, Ahmad Izani & Abdullah, Farah Aini, 2018. "Dynamical analysis of a fractional-order Rosenzweig–MacArthur model incorporating a prey refuge," Chaos, Solitons & Fractals, Elsevier, vol. 109(C), pages 1-13.
    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. Mohd, Mohd Hafiz & Md. Noorani, Mohd Salmi, 2021. "Local dispersal, trophic interactions and handling times mediate contrasting effects in prey-predator dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    2. Umar Sharif, Umi Syahirah Binti & Mohd, Mohd Hafiz, 2022. "Combined influences of environmental enrichment and harvesting mediate rich dynamics in an intraguild predation fishery system," Ecological Modelling, Elsevier, vol. 474(C).
    3. Mohd, Mohd Hafiz & Park, Junpyo, 2021. "The interplay of rock-paper-scissors competition and environments mediates species coexistence and intriguing dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
    4. Park, Junpyo, 2021. "Evolutionary dynamics in the rock-paper-scissors system by changing community paradigm with population flow," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
    5. Mohd, Mohd Hafiz, 2019. "Diversity in interaction strength promotes rich dynamical behaviours in a three-species ecological system," Applied Mathematics and Computation, Elsevier, vol. 353(C), pages 243-253.
    6. Mohd, Mohd Hafiz & Murray, Rua & Plank, Michael J. & Godsoe, William, 2017. "Effects of biotic interactions and dispersal on the presence-absence of multiple species," Chaos, Solitons & Fractals, Elsevier, vol. 99(C), pages 185-194.
    7. Patten, Bernard C. & Straškraba, Milan & Jørgensen, Sven E., 2011. "Ecosystems emerging. 5: Constraints," Ecological Modelling, Elsevier, vol. 222(16), pages 2945-2972.
    8. Xinhui Feng & Yan Li & Lu Zhang & Chuyu Xia & Er Yu & Jiayu Yang, 2022. "Carbon Metabolism in Urban “Production–Living–Ecological” Space Based on Ecological Network Analysis," Land, MDPI, vol. 11(9), pages 1-22, August.
    9. Thierry, Hugo & Sheeren, David & Marilleau, Nicolas & Corson, Nathalie & Amalric, Marion & Monteil, Claude, 2015. "From the Lotka–Volterra model to a spatialised population-driven individual-based model," Ecological Modelling, Elsevier, vol. 306(C), pages 287-293.
    10. Mingqi Zhang & Meirong Su & Weiwei Lu & Chunhua Su, 2015. "An Assessment of the Security of China’s Natural Gas Supply System Using Two Network Models," Energies, MDPI, vol. 8(12), pages 1-16, December.
    11. Borrett, Stuart R. & Sheble, Laura & Moody, James & Anway, Evan C., 2018. "Bibliometric review of ecological network analysis: 2010–2016," Ecological Modelling, Elsevier, vol. 382(C), pages 63-82.
    12. Zhang, Yan & Liu, Hong & Fath, Brian D., 2014. "Synergism analysis of an urban metabolic system: Model development and a case study for Beijing, China," Ecological Modelling, Elsevier, vol. 272(C), pages 188-197.
    13. Zhang, Yan & Li, Shengsheng & Fath, Brian D. & Yang, Zhifeng & Yang, Naijin, 2011. "Analysis of an urban energy metabolic system: Comparison of simple and complex model results," Ecological Modelling, Elsevier, vol. 223(1), pages 14-19.
    14. Zhai, Mengyu & Huang, Guohe & Liu, Lirong & Zheng, Boyue & Guan, Yuru, 2020. "Inter-regional carbon flows embodied in electricity transmission: network simulation for energy-carbon nexus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    15. Zhang, Yan & Yang, Zhifeng & Fath, Brian D. & Li, Shengsheng, 2010. "Ecological network analysis of an urban energy metabolic system: Model development, and a case study of four Chinese cities," Ecological Modelling, Elsevier, vol. 221(16), pages 1865-1879.
    16. María Jesús Ávila-Gutiérrez & Alejandro Martín-Gómez & Francisco Aguayo-González & Juan Ramón Lama-Ruiz, 2020. "Eco-Holonic 4.0 Circular Business Model to Conceptualize Sustainable Value Chain towards Digital Transition," Sustainability, MDPI, vol. 12(5), pages 1-32, March.
    17. Fath, Brian D. & Scharler, Ursula M. & Baird, Dan, 2013. "Dependence of network metrics on model aggregation and throughflow calculations: Demonstration using the Sylt–Rømø Bight Ecosystem," Ecological Modelling, Elsevier, vol. 252(C), pages 214-219.
    18. Sabine Dritz & Rebecca A. Nelson & Fernanda S. Valdovinos, 2023. "The role of intra-guild indirect interactions in assembling plant-pollinator networks," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    19. Patten, Bernard C., 2016. "Systems ecology and environmentalism: Getting the science right. Part II: The Janus Enigma Hypothesis," Ecological Modelling, Elsevier, vol. 335(C), pages 101-138.
    20. Cropp, Roger & Norbury, J., 2019. "Carrying capacity – A capricious construct," Ecological Modelling, Elsevier, vol. 401(C), pages 20-26.

    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:452:y:2021:i:c:s0304380021001575. 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.