IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0300968.html
   My bibliography  Save this article

Partial differential equation models for invasive species spread in the presence of spatial heterogeneity

Author

Listed:
  • Elliott H Hughes
  • Miguel Moyers-Gonzalez
  • Rua Murray
  • Phillip L Wilson

Abstract

Models of invasive species spread often assume that landscapes are spatially homogeneous; thus simplifying analysis but potentially reducing accuracy. We extend a recently developed partial differential equation model for invasive conifer spread to account for spatial heterogeneity in parameter values and introduce a method to obtain key outputs (e.g. spread rates) from computational simulations. Simulations produce patterns of spatial spread which appear qualitatively similar to observed patterns in grassland ecosystems invaded by exotic conifers, validating our spatially explicit strategy. We find that incorporating spatial variation in different parameters does not significantly affect the evolution of invasions (which are characterised by a long quiescent period followed by rapid evolution towards to a constant rate of invasion) but that distributional assumptions can have a significant impact on the spread rate of invasions. Our work demonstrates that spatial variation in site-suitability or other parameters can have a significant impact on invasions and must be considered when designing models of invasive species spread.

Suggested Citation

  • Elliott H Hughes & Miguel Moyers-Gonzalez & Rua Murray & Phillip L Wilson, 2024. "Partial differential equation models for invasive species spread in the presence of spatial heterogeneity," PLOS ONE, Public Library of Science, vol. 19(4), pages 1-24, April.
  • Handle: RePEc:plo:pone00:0300968
    DOI: 10.1371/journal.pone.0300968
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0300968
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0300968&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0300968?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
    ---><---

    References listed on IDEAS

    as
    1. Jones, Hannah & White, Andrew & Lurz, Peter & Shuttleworth, Craig, 2017. "Mathematical models for invasive species management: Grey squirrel control on Anglesey," Ecological Modelling, Elsevier, vol. 359(C), pages 276-284.
    2. Danish A. Ahmed & Phillip J. Haubrock & Ross N. Cuthbert & Alok Bang & Ismael Soto & Paride Balzani & Ali Serhan Tarkan & Rafael L. Macêdo & Laís Carneiro & Thomas W. Bodey & Francisco J. Oficialdegui, 2023. "Recent advances in availability and synthesis of the economic costs of biological invasions," Post-Print hal-04148456, HAL.
    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. Thomas W. Bodey & Ross N. Cuthbert & Christophe Diagne & Clara Marino & Anna Turbelin & Elena Angulo & Jean Fantle-Lepczyk & Daniel Pincheira-Donoso & Franck Courchamp & Emma J. Hudgins, 2025. "Predicting the global economic costs of biological invasions by tetrapods," Post-Print hal-04963316, HAL.
    2. Liu, Ming & Wu, Jiani & Zhang, Shuhua & Liang, Jing, 2023. "Cyanobacterial blooms management: A modified optimization model for interdisciplinary research," Ecological Modelling, Elsevier, vol. 484(C).
    3. Fadi Barbara & Valentina La Morgia & Valerio Parodi & Giuseppe Toscano & Ezio Venturino, 2018. "Analysis of the Incidence of Poxvirus on the Dynamics between Red and Grey Squirrels," Mathematics, MDPI, vol. 6(7), pages 1-21, July.
    4. Slade, Andrew & White, Andy & Lurz, Peter W.W. & Shuttleworth, Craig & Tosh, David G. & Twining, Joshua P., 2023. "Indirect effects of pine marten recovery result in benefits to native prey through suppression of an invasive species and a shared pathogen," Ecological Modelling, Elsevier, vol. 476(C).
    5. de Ávila-Simas, Sunshine & Morato, Marcelo M. & Reynalte-Tataje, David A. & Silveira, Hector B. & Zaniboni-Filho, Evoy & E. Normey-Rico, Julio, 2019. "Model-based predictive control for the regulation of the golden mussel Limnoperna fortunei (Dunker, 1857)," Ecological Modelling, Elsevier, vol. 406(C), pages 84-97.
    6. Gustavo Heringer & Romina D Fernandez & Alok Bang & Marion Cordonnier & Ana Novoa & Bernd Lenzner & César Capinha & D Renault & David A Roiz & Desika Moodley & Elena Tricarico & Kathrin Holenstein & M, 2024. "Economic costs of invasive non-native species in urban areas: An underexplored financial drain," Post-Print hal-04429893, HAL.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0300968. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.