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Applying Objectively Estimated and Spatially Continuous Forest Parameters in Tactical Planning to Obtain Dynamic, Treatment Units

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Abstract:

Forestry planning is usually approached as the problem of combining and scheduling stand treatments. Stands are assumed to be homogeneous and spatially static and are usually delineated and described by subjective surveying methods. Because, in reality, stands vary internally, only subsets of the possible management alternatives will be considered in stand-based planning. As price expectations and other planning parameters change over time, it is likely that optimal locations, extensions, and schedules for forest operations change. This paper proposes a method whereby timber volumes and treatment priorities are estimated on objectively inventoried geo-referenced circular plots. Kriging interpolation and image analysis of scanned aerial photographs are then used to predict the variables in a spatially near-continuous raster. Treatment units are dynamically formed, based on price-expectations, and objectives defined by the forest owner. Given strategic goals, tactical plans are produced for two wood price situations, and compared with a plan based on conventional stands. The results imply that forest management planning should, perhaps, not be based on static stands if economic efficiency and planning flexibility are desirable. For. Sci. 43(3):317-326.

Keywords: Forest inventory; GPS; forest management planning; image processing; kriging; remote sensing; stands

Document Type: Journal Article

Affiliations: Swedish University of Agricultural Sciences, Department of Forest Resource Management and Geomatics, S-90183 UmeƄ, Sweden; phone: +46 90 165834, Fax: +46 90 778116

Publication date: 1997-08-01

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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