Spatial Reduction Factors for Strata-Based Harvest Schedules
Abstract:The impact of block size and exclusion period on sustained yield predictions is examined for 27 hypothetical forests; forests are delineated by species, site and rotation age. Long-range harvest schedules are developed for the forests using (1) aspatial, strata-based formulations solved with linear programming, and (2) spatial, block scheduling formulations solved with Monte Carlo Integer Programming. The sustained yields estimated by the spatial formulations are in all cases lower (range: 2% to 29%) than those estimated by the aspatial formulations. The magnitude of the reduction in sustained yield increases as the exclusion period increases and the block size decreases. The magnitude of the reduction does not vary with species or site but is influenced by rotation age. Forests which are managed under longer rotation ages are less affected by exclusion period and block size constraints. Exclusion period reduction factors are developed which allow strata-based sustained yield estimates to be reduced to account for exclusion period constraints. FOR. SCI. 39(1):152-165.
Document Type: Journal Article
Affiliations: Assistant Professor, Dept. of Harvesting and Wood Science, Faculty of Forestry, University of British Columbia, Vancouver, B.C. V6T 1Z4
Publication date: February 1, 1993
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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.
2015 Impact Factor: 1.702
Ranking: 16 of 66 in forestry
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