Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/410
Citations
Scopus Web of ScienceĀ® Altmetric
?
?
Type: Journal article
Title: Mathematical methods for spatially cohesive reserve design
Author: McDonnell, M.
Possingham, H.
Ball, I.
Cousins, E.
Citation: Environmental Modeling & Assessment, 2002; 7(2 Special Issue SI):107-114
Publisher: Kluwer Academic Publishers
Issue Date: 2002
ISSN: 1420-2026
1573-2967
Statement of
Responsibility: 
Mark D. McDonnell, Hugh P. Possingham, Ian R. Ball and Elizabeth A. Cousins
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.
Keywords: reserve design; simulated annealing; set covering problem; spatial; clustering; fragmentation; optimisation heuristics; multiobjective optimisation
Description: The original publication is availiable at www.springerlink.com
RMID: 0020020594
DOI: 10.1023/A:1015649716111
Appears in Collections:Applied Mathematics publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.