Publication

Estimating tree grades for Southern Appalachian natural forest stands

Prestemon, J. P.

Log prices can vary significantly by grade: grade 1 logs are often several times the price per unit of grade 3 logs. Because tree grading rules derive from log grading rules, a model that predicts tree grades based on tree and stand-level variables might be useful for predicting stand values. The model could then assist in the modeling of timber supply and in economic optimization. Grade models are estimated for ten species groups found in the southern Appalachians, using data from several thousand trees and permanent plots in the USDA Forest Service's Forest Inventory and Analysis (FIA) databased. The models correctly predicted grades of a majority of trees in both a test and a validation data set, and predictions of grade proportions. But success of models varied across species and diameter groups. Considering several measures of modeling success, the most accurate models were those predicting tree grades for softwoods and larger hardwoods.

Fiscal Year: fy98 ·  Problem Area: pa98-1 ·  Theme: cctinmon ·  Source: resunit   <== Explain

Citation: Prestemon, J. P. 1998. Estimating tree grades for Southern Appalachian natural forest stands. Forest Science 44(1):73-86.

download PDF full-text article available in PDF (file size unknown) download free Adobe Acrobat Reader

Want more? Send an email to jprestemon@fs.fed.us . If you're requesting a reprint be sure your email includes the citation and your complete mailing address.

   Forest Economics
   and Policy
Publications ·  Search ·  Home 
USDA Forest Service   
Southern Research Station