Incorporating a distance cost in systematic reserve design
The selection of parcels of land to incorporate into reserve systems necessitates trade-offs among biodiversity targets, costs such as land area and spatial compactness. There are well-established systematic reserve design algorithms that incorporate these trade-offs to assist decision-makers
in this process. One cost that has received little attention is the proximity of new land parcels to the existing reserve network: the ability of environmental managers to effectively maintain and protect additional land units is often constrained by their proximity to existing reserve networks.
The selection of parcels of land close to existing reserves makes them logistically easier to deploy infrastructure to and can also improve the spatial contiguity of the existing reserve network. Previous research has been limited to using distance from the centroids of existing reserves,
which significantly biases algorithms when reserves are irregularly shaped. Here we describe a new approach that overcomes this limitation by using the existing reserve boundary to determine proximity. We provide an example of this approach by implementing it as an additional constraint in
an analysis of biodiversity targets within the Greater Blue Mountains World Heritage Area, Australia, via the Marxan reserve design software. The incorporation of the distance cost in the analysis was effective in selecting parcels near to the existing reserve system and can be combined with
other variables in the algorithm to improve spatial compactness while meeting biodiversity and other targets. It provides alternative solutions for use by reserve planners when extending reserve systems.
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Greater Blue Mountains World Heritage Area;
systematic reserve design
Document Type: Research Article
Lab of Geographic Information Science, East China Normal University, Shanghai, China,School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, Australia
School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW, Australia
Publication date: 2011-03-01
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