Skip to main content

A Technique for Predicting Proportions of Tree Volume by Log Positions

Buy Article:

$21.50 plus tax (Refund Policy)

Data were collected from an integrated utilization operation in loblolly pine (Pinus taeda L.) in the eastern shore region of Virginia. Maryland, and Delaware for the purpose of developing tree volume tables for cruising and inventory work where peeler (veneer) logs and pulpwood are the primary forest products under consideration. Discussed here are methods and results of a technique that was used to develop a suitable means of deducting volumes in logs not of acceptable peeler quality, thus providing net peeler volume in each tree. Proportions of total merchantable-stem volume, in board feet, by peeler-log positions were predicted from merchantable height. Regression equations were conditioned to allow the proportion of merchantable volume for all peeler logs in each height class to sum to 1.0.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Document Type: Journal Article

Affiliations: Director, Forest Management and Research, Chesapeake Corporation of Virginia, West Point, Va.

Publication date: 1971-09-01

More about this publication?
  • The Journal of Forestry is the most widely circulated scholarly forestry journal in the world. In print since 1902, the Journal has received several national awards for excellence. The mission of the Journal of Forestry is to advance the profession of forestry by keeping forest management professionals informed about significant developments and ideas in the many facets of forestry: economics, education and communication, entomology and pathology, fire, forest ecology, geospatial technologies, history, international forestry, measurements, policy, recreation, silviculture, social sciences, soils and hydrology, urban and community forestry, utilization and engineering, and wildlife management. The Journal is published bimonthly: January, March, May, July, September, and November.

    2016 Impact Factor: 1.675 (Rank 20/64 in forestry)

    Average time from submission to first decision: 39.6 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Forest Science
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Podcasts
  • SAF Convention Abstracts
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed 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