Adaptive Land-Use Management in Dynamic Ecological System

Nanlin Jin, Daniel Chapman, Klaus Hubacek

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Citation (Scopus)

Abstract

UK uplands are significantly important in the economy and the environment. There is also a debate on how the banning of managed burning will affect the landscape of uplands. One difficulty in answering such a question comes from the fact that land-use management continuously adapts to dynamic biological environments, which in turn have many impacts on land-use decisions. This work demonstrates how evolutionary algorithms generate land-use strategies in dynamic biological environments over time. It also illustrates the influences on sheep grazing from banning managed burning in a study site.
Original languageEnglish
Title of host publicationApplications of Evolutionary Computing
Place of PublicationLondon
PublisherSpringer
Pages152-161
Volume5484
ISBN (Print)978-3-642-01128-3
DOIs
Publication statusPublished - 2009

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
ISSN (Electronic)0302-9743

Keywords

  • Genetic algorithms
  • dynamic optimization

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