Projection variance partitioning of a conceptual forest growth model with orthogonal polynomials

George Gertner, Pablo Parysow, Biing Guan

Research output: Contribution to journalArticlepeer-review

Abstract

An uncertainty analysis was performed for a conceptual forest growth model for red pine (Pinus resinosa Ait.). Low order orthogonal response surface models were developed to predict the variance of projections made with the conceptual model. Based on these orthogonal response surface models, it was possible to partition the variance of the projections. Approximate error budgets were developed, and the power of hypotheses tests based on model predictions were assessed.

Original languageEnglish (US)
Pages (from-to)474-486
Number of pages13
JournalForest Science
Volume42
Issue number4
StatePublished - Nov 1 1996

Keywords

  • Dynamic growth model
  • error budget
  • pipe model
  • uncertainty assessment

ASJC Scopus subject areas

  • Forestry
  • Ecology
  • Ecological Modeling

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