Localizing a diameter increment model with a sequential Bayesian procedure.

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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. 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 stand in NW Oregon. Another example is presented where the adjustment procedure is used to adjust for the effects of fertilizer. -from Author

Original languageEnglish (US)
Pages (from-to)851-864
Number of pages14
JournalForest Science
Volume30
Issue number4
StatePublished - Jan 1 1984

ASJC Scopus subject areas

  • Forestry
  • Ecology
  • Ecological Modeling

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