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

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.