Insect Pest Models and Insecticide Application

J. C. Ascough, E. M. Fathelrahman, G. S. McMaster

Research output: Chapter in Book/Report/Conference proceedingChapter

6 Citations (Scopus)

Abstract

Advancements in computing technology have provided an opportunity for ecological insect modeling to progress from simple analytical and mathematical approaches to new modeling methodologies emphasizing greater complexity and detail. Creating valid, complex numerical insect models to address specific problems has proved to be a valuable step in the advancement of new theory. An important example of this is the recent development of a suite of models to simulate the dynamics of pest adaptation to crop rotation and transgenic corn. Future improvements in computing technology will continue to facilitate the application of complex numerical insect models incorporating extensive ecological and biophysical knowledge. The long-term security of global food supply in part depends on scientists providing decision support tools such as insect models that help ensure the continuation of efficient (and sustainable) agricultural production. In this article, the role of models in ecological- and insecticide-based pest control strategies are first discussed, followed by a description of the major types of insect/pest models available. Current insect modeling approaches (e.g., pest-crop interactions, pesticide effectiveness, pest adaptation to crop rotation and transgenic corn) are then presented, followed by future research needs for insect models.

Original languageEnglish
Title of host publicationEncyclopedia of Ecology, Five-Volume Set
PublisherElsevier Inc.
Pages1978-1985
Number of pages8
ISBN (Electronic)9780080914565
ISBN (Print)9780080454054
DOIs
Publication statusPublished - Jan 1 2008
Externally publishedYes

Keywords

  • Insect modeling
  • Insecticide application
  • Integrated pest management
  • Pest-crop interactions
  • Pesticide resistance
  • Simulation models

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Environmental Science(all)

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