Optimizing a Combination of Thinning Methods, Thinning Intensity and Timing Using a Stand Growth Simulation Model for Toyama Prefecture

Abstract

In this study, we develop a dynamic programming model for seeking the optimal thinning regime. Unlike previous studies, the growth model for Toyama prefecture can project diameter distribution over time. Therefore, our model seeks the optimal combination of thinning methods and thinning intensity in each planning period. We apply our dynamic programming model to sugi (Cryptomeria japonica) forest stands in Toyama prefecture.