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Identifying Woodland Owner Characteristics Associated with Timber Management

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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.
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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: 01 March 1986

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