Determining Optimal Policies for Ecosystems

Abstract

The paper is a review of research done primarily at IIASA. The problem of finding the optimal policy for controlling the spruce budworm -- an insect whose outbreaks from time to time do great damage to the fir forests of New Brunswick, Canada -- represents a rare opportunity to develop and to successfully apply the methodology of optimization. The two interacting populations, the tree and the insect, constitute about the simplest ecosystem of practical importance. A very detailed computer 'simulation' model is used to evaluate and to compare proposed policies regarding when to apply insecticides and when to cut down trees. The model is considered by biologists to be sufficiently representative that its simulation on the computer can be viewed as one way to bring the real world into the 'laboratory'. The effectiveness of different policies can then be determined by trying them out on the simulation model. In this paper the authors discuss how the simulator can be supplemented with optimization methods to determine an optimal policy, in particular how a Markov model is appropriate.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1974
Accession Number
AD0787092

Entities

People

  • George Bernard Dantzig

Organizations

  • Stanford University

Tags

Communities of Interest

  • Biomedical
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Abstracts
  • British Columbia
  • Computers
  • Dynamic Programming
  • Ecosystems
  • Lepidoptera
  • Markov Models
  • Mathematical Models
  • Military Research
  • Models
  • New Brunswick
  • Operations Research
  • Optimization
  • Probability
  • Simulations
  • Simulators
  • United States

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aquatic Ecology
  • Forest Ecology