Skip to main content

SB Distribution-Based Models for Individual Tree Merchantable Volume-Total Volume Ratios

Buy Article:

$29.50 plus tax (Refund Policy)

Abstract:

Individual tree volume distribution, the proportion of total tree volume from the stump to any top diameter limit, was modeled with Johnson's SB distribution. Parameter prediction and percentile prediction approaches were evaluated. The SB; models provided reasonable alternatives to regression models and performed particularly well from about 40 percent of breast height to the bottom of the tree. Several problems which are commonly encountered with volume ratio data when using a regression approach can be overcome by the proposed distribution-based approaches. Forest Sci. 31:389-398.

Keywords: Pinus taeda; merchantable volume estimation; percentiles

Document Type: Journal Article

Affiliations: Assistant Professor, Department of Forest Resources, 110 Green Hall, University of Minnesota, St. Paul, MN 55108

Publication date: 1985-06-01

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.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Podcasts
  • 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
X
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