PROJECTION VARIANCE PARTITIONING OF A CONCEPTUAL FOREST GROWTH-MODEL WITH ORTHOGONAL POLYNOMIALS

An uncertainty analysis was performed for a conceptual forest growth m odel 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 sur face models, it was possible to partition the variance of the projecti ons, Approximate error budgets were developed, and the power of hypoth eses tests based on model predictions were assessed.