Volume and Value Prediction for Young-Growth True Fir Trees
Abstract:Statistical models were developed for predicting the lumber volume and value of young-growth red, white, and grand fir trees. Equations were derived to predict gross tree volume and cubic recovery percent and then combined to predict lumber volume. Two methods were used to predict lumber value; one predicts the lumber volume in each of three lumber grades using nonlinear regression, and the other predicts an indexed value using linear regression. Field data from recovery studies in Idaho, Oregon, and California were used to develop regression equations. Forest Sci. 30:871-882.
Document Type: Journal Article
Affiliations: Assistant Professor of Forest Biometrics, Oregon State University, Corvallis, OR 97331
Publication date: December 1, 1984
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