Adaptive Land-Use Management in Dynamic Ecological System

Jin, Nanlin, Chapman, Daniel and Hubacek, Klaus (2009) Adaptive Land-Use Management in Dynamic Ecological System. In: Applications of Evolutionary Computing. Lecture Notes in Computer Science, 5484 . Springer, London, pp. 152-161. ISBN 978-3-642-01128-3

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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.

Item Type:	Book Section
Uncontrolled Keywords:	Genetic algorithms, dynamic optimization
Subjects:	F800 Physical and Terrestrial Geographical and Environmental Sciences G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Becky Skoyles
Date Deposited:	11 Aug 2014 10:42
Last Modified:	12 Oct 2019 22:29
URI:	http://nrl.northumbria.ac.uk/id/eprint/17372

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