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Simulating Cable Thinning in Young-Growth Stands

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As the acreages of young-growth forests in the Pacific Northwest increase, intensive management will require thinning young stands when trees are small to meet wood industry needs. A need exists for a methodology to aid in evaluating alternative thinning methods for young-growth stands. Computer modeling and simulation can be used to estimate production rates and costs for cable thinning systems. This paper presents THIN, a new cable thinning model. Model structure, validation tests, and input data requirements are summarized. Simulations were run for a variety of yarders, prebunchers, and swing machines operating in various rigging configurations and stand conditions. The results, briefly outlined to illustrate the model's applicability, show that log size and distribution significantly affect the production rates of cable thinning systems. Experience with the model suggests its considerable potential for estimating harvesting cost and production rates for cable operations in mountainous terrain. Forest Sci. 27:745-757.

Keywords: Computer modeling; prebunching; spatial distribution; swinging; yarding

Document Type: Journal Article

Affiliations: Associate Professor, Department of Statistics, Oregon State University, Corvallis, OR 97331

Publication date: December 1, 1981

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.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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