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Imposing Connectivity Constraints in Forest Harvest Scheduling

By Rodolfo Carvajal, Miguel Constantino, Marcos Goycoolea, Juan Pablo Vielma and Andrés Weintraub


A major challenge in forest harvest scheduling is to balance economic gain with the preservation of wildlife habitat. One way of addressing preservation concerns in profit maximizing models consists in requiring that large contiguous patches of mature forest to be left standing after harvest. Another way of addressing such concerns in the context of nature reserve design is to select connected regions of forest in such a way as to maximize the number of species and habitats protected. While a number of integer programming formulations have been proposed for such forest planning problems, most are impractical in that they fail to solve reasonably sized scheduling instances. We present a new integer programmig methodology and test an implementation of it on four medium-sized forest instances publically available in the FMOS repository. Our approach allows us to obtain near-optimal solutions for multiple time-period instances in under four hours and to analyze spatial and cost properties of these solutions. Key words: integer programming; cutting plane; natural resources 1

Topics: Carvajal et al, Imposing Connectivity Constraints in Forest Harvest Scheduling
Year: 2010
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