%0 Research article
%T Forecasting probability distributions of forest yield allowing for a Bayesian approach to management planning
%A Nyström, Kenneth
%A Ståhl, Göran
%D 2001
%J Silva Fennica
%V 35
%N 2
%R doi:10.14214/sf.595
%U https://silvafennica.fi/article/595
%X Probability distributions of stand basal area were predicted and evaluated in young mixed stands of Scots pine (Pinus sylvestris L.), Norway spruce (Picea abies (L.) Karst.) and birch (Betula pendula Roth and Betula pubescens Ehrh.) in Sweden. Based on an extensive survey of young stands, individual tree basal area growth models were estimated using a mixed model approach to account for dependencies in data and derive the variance/covariance components needed. While most of the stands were reinventoried only once, a subset of the stands was revisited a second time. This subset was used to evaluate the accuracy of the predicted stand basal area distributions. Predicting distributions of forest yield, rather than point estimates, allows for a Bayesian approach to planning and decisions can be made with due regard to the quality of the information.