Skip to main content

Sapling Stand Development: A Compound Exponential Process

Buy Article:

$29.50 plus tax (Refund Policy)


The development of an even-aged stand during the sapling stage is expressed as a theoretical stochastic model referred to as the compound exponential process. Given a suitable estimate of the one parameter of the process, we can predict the probabilities and expectations of future numbers of trees by diameter classes. The process appears to have interesting applications to the problem of evaluating the future stocking of regeneration or sapling stands. Forest Sci. 16: 177-180.

Keywords: Stochastic process; mortality

Document Type: Journal Article

Affiliations: Principal Silviculturist, Durham Research Laboratory, Northeastern Forest Experiment Station, Forest Service, U.S. Department of Agriculture, Durham, New Hampshire

Publication date: 1970-06-01

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

    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 ContentFree content
  • Partial Free ContentPartial Free content
  • New ContentNew content
  • Open Access ContentOpen access content
  • Partial Open Access ContentPartial Open access content
  • Subscribed ContentSubscribed content
  • Partial Subscribed ContentPartial Subscribed content
  • Free Trial ContentFree 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