Desarrollando un sistema de predicción de distribuciones diamétricas para Pinus occidentalis, Sw. en la sierra, República Dominicana

information about the diameter distribution of a forest stand is an essential component for deriving a variety of stand attributes, understanding stand dynamics under varying ecological conditions and planning future forest prescriptions. diameter distributions from multiple evenaged stands of pinus occidentalis from three different ecological zones within la sierra region in the dominican republic were modeled using a three-parameter weibull probability prediction method using either maximum likelihood or modified method of moments, and two bases on parameter recovery method using either percentile-based or cumulative distribution function regression. stand characteristics such as age, total tree height, trees per hectare, site quality and basal area were employed as predictor variables. methods were evaluated based on goodness-of-fit of the distributions and rmse of stand yield. in these data, the parameter recovery method based on percentile based distribution proved to be considerably more efficient in describing the diameter distribution.