Skip to main content

A Technique for Estimating Timber Value Based on Tree Size, Management Variables, and Market Conditions

Buy Article:

$29.50 plus tax (Refund Policy)


Based upon revealed market preferences for timber, the authors developed an empirical stumpage valuation model for three ranger districts of the Lolo National Forest. The equation suggests how tree diameter, volume per acre harvested, reproduction systems utilized, logging systems employed, and market conditions affect the selling value of timber. Increase in volume per acre harvested, the amount of a sale that is clearcut or tractor skidded, and increases in the real value of lumber all increase the amount bid for a timber sale. Likewise, the diameter mix included in a sale will affect bidding levels. Of particular importance is the method developed which shows the effect of the mix of tree diameters in each sale on sale value. Brief remarks concerning the use of the model conclude the paper. Forest Sci. 25:620-626.

Keywords: Valuation; appraisal; conversion returns

Document Type: Journal Article

Affiliations: Doctoral Candidate, Montana Forest and Conservation Experiment Station and School of Forestry, University of Montana, Missoula, Montana 59812

Publication date: December 1, 1979

More about this publication?
  • 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.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Ingenta Connect is not responsible for the content or availability of external websites

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more