Background:In economically optimal management,trees that are removed in a thinning treatment should be selected on the basis of their value,relative value increment and the effect of removal on the growth of remaining trees.Large valuable trees with decreased value increment should be removed,especially when they overtop smaller trees.Methods:This study optimized the tree selection rule in the thinning treatments of continuous cover management when the aim is to maximize the profitability of forest management.The weights of three criteria(stem value,relative value increment and effect of removal on the competition of remaining trees) were optimized together with thinning intervals.Results and conclusions:The results confirmed the hypothesis that optimal thinning involves removing predominantly large trees.Increasing stumpage value,decreasing relative value increment,and increasing competitive influence increased the likelihood that removal is optimal decision.However,if the spatial distribution of trees is irregular,it is optimal to leave large trees in sparse places and remove somewhat smaller trees from dense places.However,the benefit of optimal thinning,as compared to diameter limit cutting is not usually large in pure one-species stands.On the contrary,removing the smallest trees from the stand may lead to significant(30-40%) reductions in the net present value of harvest incomes. Background: In economically optimal management, trees that are removed in a thinning treatment should be selected on the basis of their value, relative value increment and the effect of removal on the growth of remaining trees. Large valuable trees with decreased value increment should be removed , especially when they overtop smaller trees. Methods: This study optimized the tree selection rule in the thinning treatments of continuous cover management when the aim is to maximize the profitability of forest management. The weights of three criteria (stem value, relative value increment and effect of removal on the competition of remaining trees) were optimized together with thinning intervals. Results and conclusions: The findings confirmed the hypothesis that optimal thinning reporting of predominantly large trees. Increasing stumpage value, decreasing relative value increment, and increasing competitive influence increased the the likelihood that removal is optimal decision.However, if the spatial dis tribution of trees is irregular, it is optimal to leave large trees in sparse places and remove somewhat smaller trees from dense places. However, the benefit of optimal thinning, as compared to diameter limit cutting is not usually large in pure one-species stands. On the contrary, removing the smallest trees from the stand may lead to significant (30-40%) reductions in the net present value of harvest incomes.