IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v202y2007i3p454-464.html
   My bibliography  Save this article

Modeling the effect of growth rate and survivability trade-offs on species coexistence and spatial topology at a traveling invasive wave-front

Author

Listed:
  • Silverman, B. David

Abstract

The introduction and spread of non-native species is now recognized as one of the most significant threats to natural ecosystems world-wide. Land degradation due to such invasion has been responsible for the displacement of native species and for the destruction of the quality of wildlife habitats. The success or failure of such invasion depends upon a number of factors, perhaps two of the most important being the relative growth rates of the invasive and native species and their different ability to survive the competition for limited resources. For an invasive species with greater fecundity and rate-of-growth than the native species, all other things being equal, the invasive species will ultimately prevail driving the native species to extinction. If, on the other hand, the native species is characterized by greater survivability within habitats with limited resources, all other things being equal, the invasive species will not be able to penetrate the native habitat and will be driven to extinction where there may have been initial coexistence. The intermediate situation is therefore of interest where the difference or trade-off between growth and survival is not that extreme and the details of which may lead to either extinction or coexistence. To investigate the effect of such trade-off at an invasive wave-front, a cellular “ceiling model” of population growth below a fixed carrying capacity has examined the diffusive invasion of a native habitat. This is accomplished by modifying the “ceiling model” of population growth and limitation, to mirror differences in species survivability by a simple zero-sum partitioning of the demographic fixed carrying capacity. Calculations are performed for a single deme and for a 200×200 cellular grid of demes. For the cellular grid, the relative values of such trade-off are shown to yield either regions of species coexistence or extinction and this effect on the topological features of the wave-front is illustrated. This new model, motivated by paradigmatic considerations and consequently idealistic, addresses formal issues and may be considered a template for future investigations motivated by more pragmatic considerations.

Suggested Citation

  • Silverman, B. David, 2007. "Modeling the effect of growth rate and survivability trade-offs on species coexistence and spatial topology at a traveling invasive wave-front," Ecological Modelling, Elsevier, vol. 202(3), pages 454-464.
  • Handle: RePEc:eee:ecomod:v:202:y:2007:i:3:p:454-464
    DOI: 10.1016/j.ecolmodel.2006.11.027
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380006005461
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2006.11.027?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. Jef Huisman & Franz J. Weissing, 1999. "Biodiversity of plankton by species oscillations and chaos," Nature, Nature, vol. 402(6760), pages 407-410, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jian, Fuji & Jayas, Digvir S. & White, Noel D.G. & Smith, E.A., 2008. "Numerical analysis and parameter estimation technique for insect population redistribution models," Ecological Modelling, Elsevier, vol. 211(1), pages 47-56.

    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. Rashleigh, Brenda & DeAngelis, Donald L., 2007. "Conditions for coexistence of freshwater mussel species via partitioning of fish host resources," Ecological Modelling, Elsevier, vol. 201(2), pages 171-178.
    2. Pavão, D.C. & Elias, R.B. & Silva, L., 2019. "Comparison of discrete and continuum community models: Insights from numerical ecology and Bayesian methods applied to Azorean plant communities," Ecological Modelling, Elsevier, vol. 402(C), pages 93-106.
    3. Sergey Bartsev & Andrey Degermendzhi, 2023. "The Evolutionary Mechanism of Formation of Biosphere Closure," Mathematics, MDPI, vol. 11(14), pages 1-22, July.
    4. Marten Scheffer & Remi Vergnon & Egbert H van Nes & Jan G M Cuppen & Edwin T H M Peeters & Remko Leijs & Anders N Nilsson, 2015. "The Evolution of Functionally Redundant Species; Evidence from Beetles," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-10, October.
    5. Anna Y. Alekseeva & Anneloes E. Groenenboom & Eddy J. Smid & Sijmen E. Schoustra, 2021. "Eco-Evolutionary Dynamics in Microbial Communities from Spontaneous Fermented Foods," IJERPH, MDPI, vol. 18(19), pages 1-19, September.
    6. Hairong Lin & Chunhua Wang & Fei Yu & Jingru Sun & Sichun Du & Zekun Deng & Quanli Deng, 2023. "A Review of Chaotic Systems Based on Memristive Hopfield Neural Networks," Mathematics, MDPI, vol. 11(6), pages 1-18, March.
    7. López-Ruiz, Ricardo & Fournier-Prunaret, Danièle, 2009. "Periodic and chaotic events in a discrete model of logistic type for the competitive interaction of two species," Chaos, Solitons & Fractals, Elsevier, vol. 41(1), pages 334-347.
    8. Trobia, José & de Souza, Silvio L.T. & dos Santos, Margarete A. & Szezech, José D. & Batista, Antonio M. & Borges, Rafael R. & Pereira, Leandro da S. & Protachevicz, Paulo R. & Caldas, Iberê L. & Iaro, 2022. "On the dynamical behaviour of a glucose-insulin model," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    9. Mulderij, Gabi & Van Nes, Egbert H. & Van Donk, Ellen, 2007. "Macrophyte–phytoplankton interactions: The relative importance of allelopathy versus other factors," Ecological Modelling, Elsevier, vol. 204(1), pages 85-92.
    10. Sudakov, Ivan & Vakulenko, Sergey A. & Bruun, John T., 2022. "Stochastic physics of species extinctions in a large population," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).
    11. Malay Banerjee & Nayana Mukherjee & Vitaly Volpert, 2018. "Prey-Predator Model with a Nonlocal Bistable Dynamics of Prey," Mathematics, MDPI, vol. 6(3), pages 1-13, March.
    12. Šajna, Nina & Kušar, Primož, 2014. "Modeling species fitness in competitive environments," Ecological Modelling, Elsevier, vol. 275(C), pages 31-36.
    13. Ren, Lujie & Mou, Jun & Banerjee, Santo & Zhang, Yushu, 2023. "A hyperchaotic map with a new discrete memristor model: Design, dynamical analysis, implementation and application," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
    14. S. Kartal & M. Kar & N. Kartal & F. Gurcan, 2016. "Modelling and analysis of a phytoplankton–zooplankton system with continuous and discrete time," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 22(6), pages 539-554, November.
    15. Ranjan, Ravi & Bagchi, Sumanta, 2016. "Functional response and body size in consumer–resource interactions: Unimodality favors facilitation," Theoretical Population Biology, Elsevier, vol. 110(C), pages 25-35.
    16. Yuan, Chi & Chesson, Peter, 2015. "The relative importance of relative nonlinearity and the storage effect in the lottery model," Theoretical Population Biology, Elsevier, vol. 105(C), pages 39-52.
    17. de Lima Filho, José A. & Vieira, Raphael J.A.G. & de Souza, Carlos A.M. & Ferreira, Fernando F. & de Oliveira, Viviane M., 2021. "Effects of habitat fragmentation on biodiversity patterns of ecosystems with resource competition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 564(C).
    18. Moroz, Irene M. & Cropp, Roger & Norbury, John, 2016. "Chaos in plankton models: Foraging strategy and seasonal forcing," Ecological Modelling, Elsevier, vol. 332(C), pages 103-111.
    19. Wang, Lin & Wang, Rui-Wu, 2022. "Host regulation and seasonality generate population chaos in a fig-wasp mutualism," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    20. de Souza Júnior, Misael B. & Ferreira, Fernando F. & de Oliveira, Viviane M., 2014. "Effects of the spatial heterogeneity on the diversity of ecosystems with resource competition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 312-319.

    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:202:y:2007:i:3:p:454-464. 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.