Skip to main content

Localizing a Diameter Increment Model with a Sequential Bayesian Procedure

Buy Article:

$29.50 plus tax (Refund Policy)

Abstract:

A sequential Bayesian procedure is presented and used for localizing a nonlinear diameter increment model taken from a regional forest growth projection system. With this procedure, diameter growth monitored in a subregion of interest can be used to adjust the parameters of a regional model. The amount the regional parameters are adjusted depends on the precision of the growth estimates from the regional model, as well as on the precision of the estimates based on the sample from the subregion. When adjusting the regional parameters, more weight is given to these estimates when the precision of subregional estimates is relatively high in comparison to the regional estimates. An example is given where the procedure is used to localize a model developed for the Western Oregon region to a Douglas-fir (Pseudotsuga menziesii [Mirb.] Franco) stand located in northwestern Oregon. Another example is presented where the adjustment procedure is used to adjust for the effects of fertilizer. Forest Sci. 30:851-864.

Keywords: Bayesian procedure; feedback; growth projection system; sequential estimation

Document Type: Journal Article

Affiliations: Assistant Professor of Forest Biometrics, 110 Mumford Hall, Department of Forestry, University of Illinois, 1301 W. Gregory Drive, Urbana, IL 61801

Publication date: 1984-12-01

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

    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