IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v13y2025i18p2952-d1747986.html
   My bibliography  Save this article

Effective Resource Allocation to Combat Invasions of the Spotted Lanternfly ( Lycorma delicatula ) and Similar Pests

Author

Listed:
  • Daniel Strömbom

    (Department of Biology, Lafayette College, Easton, PA 18042, USA)

  • Julianna Hoitt

    (Department of Biology, Lafayette College, Easton, PA 18042, USA)

  • Jinrong Hu

    (Department of Biology, Lafayette College, Easton, PA 18042, USA)

  • Swati Pandey

    (Department of Biology, Lafayette College, Easton, PA 18042, USA)

  • Elizabeth Batchelar

    (Department of Biology, Lafayette College, Easton, PA 18042, USA)

Abstract

The spotted lanternfly is rapidly establishing itself as a major insect pest with global implications. Despite substantial management efforts, its spread continues in invaded regions, highlighting the need for refined strategies. A recent model generalized results of empirical control studies by incorporating population dynamics and incomplete delivery, introducing a formula for the minimum proportion of a population that must be treated to induce decline. However, that model cannot address the more practical question of how to allocate control efforts. Here, we extend the model to identify effective deployment strategies. When control effects scale linearly with effort, we show that sequential application of stage-specific controls, ordered by efficacy, is optimal. When effects exhibit diminishing returns, we derive a switching criterion between controls that accommodates variable or uncertain resources. For fixed resources, we employ global optimization to obtain deployment strategies. Both approaches consistently outperform random deployment, which we show can lead to catastrophic outcomes. Our findings demonstrate the importance of adopting effective control strategies for the lanternfly. Despite this need, we found no prior studies addressing deployment strategies in the lanternfly literature. The methods developed here provide a foundation for ensuring that limited management resources are used effectively.

Suggested Citation

  • Daniel Strömbom & Julianna Hoitt & Jinrong Hu & Swati Pandey & Elizabeth Batchelar, 2025. "Effective Resource Allocation to Combat Invasions of the Spotted Lanternfly ( Lycorma delicatula ) and Similar Pests," Mathematics, MDPI, vol. 13(18), pages 1-13, September.
  • Handle: RePEc:gam:jmathe:v:13:y:2025:i:18:p:2952-:d:1747986
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/13/18/2952/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/13/18/2952/
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:gam:jmathe:v:13:y:2025:i:18:p:2952-:d:1747986. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.