Partitioning of the variance of predictions of a conceptual forest growth model

G. Gertner, B. Guan, P. Parysow

Research output: Contribution to journalArticlepeer-review

Abstract

Prediction quality assessment was performed on a carbon-balance model based on pipe model theory and self-thinning. The model was adapted to red pine Pinus resinosa. Low order response surface models that were approximately orthogonal were developed to predict the variance and bias of projects made with the conceptual model. These response surface models were used to approximate error budgets.

Original languageEnglish (US)
Pages (from-to)23-35
Number of pages13
JournalUnknown Journal
StatePublished - Dec 1 1996
Externally publishedYes

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)
  • Environmental Science(all)

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