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Estimating and Validating Ground-Based Timber Harvesting Production Through Computer Simulation

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Estimating ground-based timber harvesting systems production with an object-oriented methodology was investigated. The estimation model developed generates stands of trees, simulates chain saw, drive-to-tree feller-buncher, swing-to-tree single-grip harvester felling, and grapple skidder and forwarder extraction activities, and analyzes costs and productivity. It also measures the traffic intensity level of extraction machines across sites. The model components were validated using data from several independent field studies. The model was used to evaluate the interaction of stand variables, harvest treatments, machines, and extraction patterns. Using two main skid trails to harvest a block minimized traffic intensity. The model can be best used to evaluate alternative skidding configurations and their impact on cost, production, and traffic intensity. FOR. SCI. 49(1):64–76.
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Keywords: Logging; cost; environmental management; forest; forest management; forest operations; forest resources; forestry; forestry research; forestry science; natural resource management; natural resources; production; timber harvesting; validation

Document Type: Miscellaneous

Affiliations: 1: Assistant Professor Division of Forestry, West Virginia University, Morgantown, WV, 26506, Phone: (304) 293-2941, Ext. 2481; Fax: (304) 293-2441 [email protected] 2: Project Leader and Supervisory Industrial Engineer Northeastern Research Station, USDA Forest Service, 180 Canfield Street, Morgantown, WV, 26505, Phone: (304) 285-1572 [email protected]

Publication date: 2003-02-01

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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
    Other SAF Publications
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