Author ORCID Identifier
https://orcid.org/0000-0002-7291-5205
Document Type
Article
Publication Date
Winter 1-5-2023
Publication Title
Ecological complexity and avoiding pest resurgence: intuitions from mathematical ecology
Department
Environmental Studies Program
Additional Department
Ecology, Evolution, Environment and Society
Abstract
Pest resurgence is defined by a predictable increase in pests following declines resulting from the implementation of pest management practices. This phenomenon is notorious; familiar in biblical references to cyclical plagues of locust and discussions of pesticide treadmills, where pests resurge following the evolution of pesticide resistance. Targeted “silver-bullet” approaches, whether chemical, mechanical, biological, or genetic in nature, apply a reductionist lens toward the removal of a specific target pest, often ignoring ecological context, by application of said silver-bullet. In this review article, we cover how past and recent developments in theoretical ecology and complex systems dynamics provide a general and intuitive understanding of the classic problem of pest resurgence from a holistic perspective. We provide an illustrative example of a simple predator-prey model to demonstrate how complex interactions between predator control agents and their target pest prey can create alternative stable states, reproducing pest resurgence dynamics by locking systems in the outbreak stable state.
DOI
https://doi.org/10.1080/21683565.2022.2164639
Original Citation
Ong, T. W., & Vandermeer, J. H. (2023). Ecological complexity and avoiding pest resurgence: intuitions from mathematical ecology. Agroecology and Sustainable Food Systems, 47(3), 466–487. https://doi.org/10.1080/21683565.2022.2164639
Dartmouth Digital Commons Citation
Ong, Theresa and Vandermeer, John H., "Ecological complexity and avoiding pest resurgence: intuitions from mathematical ecology" (2023). Dartmouth Scholarship. 4354.
https://digitalcommons.dartmouth.edu/facoa/4354
Included in
Agriculture Commons, Dynamical Systems Commons, Ecology and Evolutionary Biology Commons, Environmental Sciences Commons
