Back to Search Start Over

When managers forage for pests: Implementing the functional response in pest management.

Authors :
Kunegel-Lion, Melodie
Goodsman, Devin W.
Lewis, Mark A.
Source :
Ecological Modelling. Mar2019, Vol. 396, p59-73. 15p.
Publication Year :
2019

Abstract

Highlights • Functional responses from predator prey theory can be used for pest management. • Managers, surveying and removing pests, take the role of predators foraging for pests. • Survey costs affect the slope of the functional response curve. • Removal costs cause the curve to saturate. • Type II and III responses can arise, depending on the search strategies employed. Abstract In this study, we explore how the functional response framework can be implemented in pest management. Here, managers take the role of predators foraging on pests and facing monetary costs for survey and control in a spatial domain where the pest distribution and control strategy do not have to be random. To investigate this framework quantitatively, we simulated various management processes on different pest spatial distributions using a spatially-explicit individual-based model and Monte-Carlo simulations, and also confirmed some of the results analytically. By graphing the number of pests controlled versus pest density, we obtained management functional response curves. Whether the management functional response was shaped like a type I, type II or type III functional response depended on the management costs and the search area. However, the management spatial strategy and the pest spatial distribution had little effect on the functional response. We applied our model to the management of mountain pine beetle epidemic in Cypress Hills, Saskatchewan, Canada, with simulations matching the real number of attacked trees controlled by managers. We showed how to make an analogy between functional responses in predator–prey interactions and in human–pest interactions and thereby, apply insights from the functional response framework to pest management. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03043800
Volume :
396
Database :
Academic Search Index
Journal :
Ecological Modelling
Publication Type :
Academic Journal
Accession number :
134661015
Full Text :
https://doi.org/10.1016/j.ecolmodel.2018.10.013