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Harvest Scheduling with Area-Based Adjacency Constraints

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Adjacency constraints in harvest scheduling models prevent the harvest of adjacent management units within a given time period. Two mixed integer linear programming (MILP) harvest scheduling formulations are presented that include adjacency constraints, yet allow the simultaneous harvest of groups of contiguous management units whose combined areas are less than some predefined limit. These models are termed Area Restriction Models, or ARMs, following Murray (1999). The first approach, the Path Algorithm, generates a set of constraints that prevent concurrent harvesting of groups of contiguous stands only when the combined area of a group exceeds the harvest area restriction. The second approach defines the set of Generalized Management Units (GMUs) that consist of groups of contiguous management units whose combined areas do not exceed the maximum harvest area limit. This formulation of the model can recognize direct cost savings—such as sale administration costs or harvest costs—or higher stumpage prices that may be realized by jointly managing stands. Example problems are formulated and solved using both ARM approaches and compared with models that restrict concurrent harvests on all adjacent units, regardless of area [termed Unit Restriction Models, or URMs, again following Murray (1999)]. The ARM formulations usually result in larger models and take longer to solve, but allow for higher objective function values than otherwise similar URM formulations. While the proposed ARM approaches should be applicable to more general problems, the examples are constructed so that the largest number of contiguous stands that can be harvested jointly is three. Strategies for reducing the size of the ARM formulations are discussed and tested. FOR. SCI. 48(4):631–642.
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Keywords: Forest management; area restriction models; area-based forest planning; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; integer programming; natural resource management; natural resources; spatial optimization; unit restriction models

Document Type: Miscellaneous

Affiliations: 1: Assistant Professor of Forest Management School of Forest Resources, The Pennsylvania State University, 214B Ferguson Building, University Park, PA, 16802-4301, Phone: (814) 865-1602; Fax: (814) 865-3725 [email protected] 2: Biometrician USDA Forest Service, Ft. Collins, CO, [email protected] 3: Forestry Systems Analyst Geographic Dynamics Corp., Edmonton, Alberta, [email protected]

Publication date: 2002-11-01

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  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
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