Dynamic Resource Allocation in Conservation Planning

Abstract

Consider the problem of protecting endangered species by selecting patches of land to be used for conservation purposes. Typically, the availability of patches changes over time, and recommendations must be made dynamically. This is a challenging prototypical example of a sequential optimization problem under uncertainty in computational sustainability. Existing techniques do not scale to problems of realistic size. In this paper, we develop an efficient algorithm for adaptively making recommendations for dynamic conservation planning and prove that it obtains near-optimal performance. We further evaluate our approach on a detailed reserve design case study of conservation planning for three rare species in the Pacific Northwest of the United States.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2011
Accession Number
ADA554858

Entities

People

  • Andreas Krause
  • Beth Gardner
  • Daniel Golovin
  • Sarah J. Converse
  • Steve Morey

Organizations

  • California Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Availability
  • Birds
  • Case Studies
  • Cells
  • Endangered Species
  • Geographic Regions
  • Habitats
  • Lepidoptera
  • Mathematics
  • Optimization
  • Probability
  • Random Variables
  • Uncertainty
  • United States
  • Wildlife

Fields of Study

  • Environmental science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Aquatic Ecology
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.