Skip to main content

A Markov Model for Stand Projection

Buy Article:

$29.50 plus tax (Refund Policy)

Abstract:

A stochastic model for stand projection is developed from which difference equations are derived for expectations, variances, and covariances of tree counts. Results are applied to the problems of assessing effects of errors in input and transition parameters on stand projections and of measuring uncertainty in short-term predictions. A worked example illustrates the calculations of expected stand numbers and their variances over a 12-year span and compares them with inventory data. Forest Sci. 19:303-314.

Keywords: Stochastic; inventory

Document Type: Journal Article

Affiliations: Associate Professor of Forest Biometry, Dept. of Forest and Wood Sciences; Colorado State University

Publication date: 1973-12-01

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 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