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Multiple-Pass Harvesting and Spatial Constraints: An Old Technique Applied to a New Problem

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A methodology for approximating and incorporating spatial harvesting constraints into forest-level, aspatial models is presented. First, operational cut block scheduling methods based on map-coloring theory are used to sample the number of passes and the percentage of area-per-pass that can be harvested without violating adjacency and exclusion period constraints for a given set of harvesting guidelines. These results are defined as spatial approximation rules, and they are subsequently used to control harvest rates within a spatial approximation model. In test cases, the multiple-pass harvesting technique used in the spatial approximation model appears to closely estimate actual cut block schedules. Two major advantages of the spatial approximation technique are: (1) the onerous task of designing and scheduling cut blocks for an entire forest is not necessary, and (2) policy analysis is enhanced because the spatial approximation rules can be quickly altered to reflect different harvesting guidelines. Model calibration and optimization of harvest timings are identified as areas requiring further research. FOR. SCI. 39(1):137-151.
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Keywords: Harvest scheduling; integrated resource management; map-coloring theory

Document Type: Journal Article

Affiliations: Timber Supply Manager, British Columbia Forest Service, Victoria, B.C.

Publication date: 1993-02-01

More about this publication?
  • 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
    Other SAF Publications
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