Skip to main content

Stand and Tree Dynamics of Uneven-aged Ponderosa Pine

Buy Article:

$29.50 plus tax (Refund Policy)


A system of algebraic difference equations is presented for projecting, at the stand level, number of pole trees, survivor number of merchantable trees, and survivor basal area. Ingrowth is indirectly derived from projection equations that estimate the total change in the number of pole trees. The individual tree growth equation and mortality function are consistent with the stand level projection equations. The ingrowth diameter distribution is modeled with a parameter recovery method for the Uniform distribution. The species of ingrowth trees are predicted from equations that are a function of habitat series and cumulative ratios of trees per acre by species. For. Sci. 40(2):289-302.

Keywords: Pinus ponderosa; Uniform distribution; components of growth; differential equations; habitat type

Document Type: Journal Article

Affiliations: Senior Research Specialist, Northern Arizona University, School of Forestry, Flagstaff, AZ 86011-5018

Publication date: 1994-05-01

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.

    2016 Impact Factor: 1.782 (Rank 17/64 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
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