Population Dynamics Models in Plant-Insect Herbivore-Pesticide Interactions

Abstract

We consider several population dynamics models in investigating data from controlled experiments with aphids in broccoli patches surrounded by different margin types (bare or weedy ground) and three levels of insecticide spray (no, light, or heavy spray). We carry out parameter estimation computations along with statistical analysis to compare autonomous versus nonautonomous model dynamics. We conclude with a brief discussion of some not-so-subtle pitfalls that can arise when using quantitative measures of model to-data to make biological inferences as well as offer a positive example of how one might combine a priori biological hypothesis and intuition with rather sophisticated (from a eld biology viewpoint) mathematical methodologies to suggest synergisms.

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Document Details

Document Type
Technical Report
Publication Date
Aug 20, 2003
Accession Number
ADA444007

Entities

People

  • B. M. Adams
  • H. Thomas Banks
  • J. D. Stark
  • J. E. Banks

Organizations

  • North Carolina State University

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Computational Science
  • Computations
  • Data Sets
  • Differential Equations
  • Dynamics
  • Equations
  • Inverse Problems
  • Mathematical Models
  • Models
  • Pest Control
  • Pesticides
  • Public Health
  • Research Facilities
  • Statistical Analysis
  • Statistics

Fields of Study

  • Biology
  • Mathematics

Readers

  • Control Systems Engineering.
  • Educational Psychology
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference