Identifying Woodland Owner Characteristics Associated with Timber Management

Authors: Greene, John L.; Blatner, Keith A.

Source: Forest Science, Volume 32, Number 1, 1 March 1986 , pp. 135-146(12)

Publisher: Society of American Foresters

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Discriminant analysis of 47 variables from a questionnaire mailed to 3,200 randomly selected woodland owners in Arkansas yielded models for the combined Ozark-Ouachita and Coastal Plain regions of the state that were nearly 80 percent successful in differentiating between timber managers and nonmanagers. Simpler field-use models, developed from a subset of 17 variables that can be determined prior to contacting an owner, averaged over 70 percent successful in classifying owners. Contact with a forester, the owner being a farmer, and the owner being well-educated were associated with timber management in models for both regions, as were variables related to large woodland size and some nontimber objectives of ownership. Forest Sci. 32:135-146.

Keywords: Data analysis; discriminant analysis

Document Type: Journal Article

Affiliations: Assistant Professor, Department of Forestry and Range Management, Washington State University, Pullman, WA 99164

Publication date: March 1, 1986

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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.
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