Adaptive Land-Use Management in Dynamic Ecological System

  • Authors:
  • Nanlin Jin;Daniel S. Chapman;Klaus Hubacek

  • Affiliations:
  • University of Leeds, Leeds, UK LS2 9JT;The Centre for Ecology & Hydrology, Midlothian, UK EH26 0QB;University of Leeds, Leeds, UK LS2 9JT

  • Venue:
  • EvoWorkshops '09 Proceedings of the EvoWorkshops 2009 on Applications of Evolutionary Computing: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG
  • Year:
  • 2009

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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.