A Generalized Framework for Projecting Forest Yield and Stand Structure Using Diameter Distributions

Abstract The classical diameter distribution approach for projecting yields and stand structure in even-aged stands is generalized to include stands of indeterminate age. Attention is focused upon the concept of parameter prediction models (PPM) with empirical illustrations for both even-aged and uneven-aged applications. Parameter prediction models are those which directly predict the future values of the parameters of a probability density function (pdf) characterizing a diameter distribution. Stand-average attributes such as volume and basal area are then estimated using the diameter distribution. A parameter recovery model (PRM) is also proposed and numerically illustrated. Parameter recovery models are those in which the stand-average attributes are directly predicted and then used to obtain estimates of the underlying diameter distribution. Examined together with the two models suggest that a mathematical compatability exists between two distinct whole stand/distance independent yield forecasting techniques: diameter distribution models and stand-average models. Forest Sci. 29:85-95.