IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v482y2023ics0304380023001394.html
   My bibliography  Save this article

Are lower pesticide doses better? An evolutionary perspective on integrated pest management

Author

Listed:
  • Muniz-Junior, Gilberto
  • Roque, Fábio de Oliveira
  • Pires, Aliny PF.
  • Guariento, Rafael D.

Abstract

Pest management approaches, based on Integrated Pest Management (IPM), suggest that pesticide use could be reduced if dose recommendations move from a toxicological perspective (how much is needed to kill pests) to an ecological perspective (how much is needed to guarantee crop yield while minimizing environmental damage). However, the success of pesticides in maintaining crop yield security may be compromised by the evolution of resistance, which can be accelerated by reducing pesticide doses. To explore these relationships, we developed a mathematical model to evaluate the potential effect of pesticide dosing and pesticide-induced stress on mutation rates leading to major single gene resistance, or the accumulation of the multiple mutations leading to multi-factorial resistance. One of the main focuses was to determine the relative importance of resistance development generated before (i.e., pre-resistance) and after (i.e., post-resistance) pesticide exposure, tracking the proliferation of resistance under distinct scenarios of pesticide dosing. Our findings suggest that the relative importance of post-resistance increases under low pesticide doses and is particularly significant for the accumulation of resistance factors after pesticides are introduced. On the other hand, our model shows that lowering pesticide doses when used in conjunction with other control measures, can reduce the impact of post-resistance development. High pesticide doses may also hasten resistance if mutation rates increasingly scale with pesticide doses. This is due to the faster accumulation of resistance factors during pesticide administration. Under these circumstances, both ecological (i.e., reducing pesticide doses, minimizing biodiversity damage) and evolutionary (i.e., preventing resistance evolution) perspectives to the IPM framework are reconciled by lowering pesticide doses. Our results demonstrate the importance of taking evolution into account to evaluate management consequences, highlighting the urgent need to integrate the evolutionary perspective into pest management models to promote sustainability.

Suggested Citation

  • Muniz-Junior, Gilberto & Roque, Fábio de Oliveira & Pires, Aliny PF. & Guariento, Rafael D., 2023. "Are lower pesticide doses better? An evolutionary perspective on integrated pest management," Ecological Modelling, Elsevier, vol. 482(C).
  • Handle: RePEc:eee:ecomod:v:482:y:2023:i:c:s0304380023001394
    DOI: 10.1016/j.ecolmodel.2023.110408
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380023001394
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2023.110408?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.

    Citations

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


    Cited by:

    1. Xu, Linhao & Goode, Ashley B.C. & Tipping, Philip W. & Smith, Melissa C. & Gettys, Lyn A. & Knowles, Brittany K. & Pokorny, Eileen & Salinas, Luz & DeAngelis, Donald L., 2024. "Less is more: Less herbicide does more when biological control is present in Pontederia crassipes," Ecological Modelling, Elsevier, vol. 487(C).

    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:482:y:2023:i:c:s0304380023001394. 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: 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.