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As budgets in forest management agencies become more restrictive, cost-effective programs become more important. This paper describes a quantitative tool for setting priorities for the forestry assistance program administered by the Montana Division of Forestry. Logistic regression was used to better identify the type of forest owners to which assistance should be directed. (In logistic regression, the dependent variable is a probability that a certain event or activity will occur.) Data supporting model development were obtained from a questionnaire survey of forest landowners in the western portion of Montana. Four models were developed that pertain to past use of technical assistance, intention to harvest timber, and timber benefits as motivation for forest ownership. The most consistently useful independent variables were geographic region and past timber harvest activity. The author discusses procedures for interpreting results and for rating land ownerships for assistance. One model is discussed in detail, but the discussion is applicable to the other three models. Supporting data are presented for all models.


Sudocs call # A 13.78:INT-320