Mathematical methods for spatially cohesive reserve design

McDonnell, M. D., Possingham, H. P., Ball, I. R. and Cousins, E. A. (2002) Mathematical methods for spatially cohesive reserve design. Environmental Modeling & Assessment, 7 2: 107-114. doi:10.1023/A:1015649716111

Author McDonnell, M. D.
Possingham, H. P.
Ball, I. R.
Cousins, E. A.
Title Mathematical methods for spatially cohesive reserve design
Journal name Environmental Modeling & Assessment   Check publisher's open access policy
ISSN 1420-2026
Publication date 2002-01-01
Year available 2002
Sub-type Article (original research)
DOI 10.1023/A:1015649716111
Open Access Status Not yet assessed
Volume 7
Issue 2
Start page 107
End page 114
Total pages 8
Editor J.A. Filar
Place of publication Dordrecht
Publisher Kluwer Academic Publishers
Language eng
Subject C1
239901 Biological Mathematics
270700 Ecology and Evolution
270708 Conservation and Biodiversity
770000 - Environmental Management
Abstract The problem of designing spatially cohesive nature reserve systems that meet biodiversity objectives is formulated as a nonlinear integer programming problem. The multiobjective function minimises a combination of boundary length, area and failed representation of the biological attributes we are trying to conserve. The task is to reserve a subset of sites that best meet this objective. We use data on the distribution of habitats in the Northern Territory, Australia, to show how simulated annealing and a greedy heuristic algorithm can be used to generate good solutions to such large reserve design problems, and to compare the effectiveness of these methods.
Keyword Environmental Sciences
Reserve Design
Simulated Annealing
Set Covering Problem
Optimisation Heuristics
Multiobjective Optimisation
Q-Index Code C1
Institutional Status UQ

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Created: Wed, 15 Aug 2007, 03:02:39 EST