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

Full text not available from this repository. (Request a copy)
Official URL: http://dx.doi.org/10.1007/978-3-642-01129-0_19

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 Science and Digital Technologies
Depositing User: Becky Skoyles
Date Deposited: 11 Aug 2014 10:42
Last Modified: 10 Nov 2016 12:40
URI: http://nrl.northumbria.ac.uk/id/eprint/17372

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics


Policies: NRL Policies | NRL University Deposit Policy | NRL Deposit Licence