%0 Research article
%T Optimization bias in forest management planning solutions due to errors in forest variables
%A Kangas, Annika S.
%A Kangas, Jyrki
%D 1999
%J Silva Fennica
%V 33
%N 4
%R doi:10.14214/sf.651
%U https://silvafennica.fi/article/651
%X The yield of various forest variables is predicted by means of a  simulation system to provide information for forest management planning.  These predictions contain many kinds of uncertainty, for example,  prediction and measurement errors. Inevitably, this has an effect on  forest management planning. It is well known that uncertainty in the  forest yields causes optimistic bias in the observed values of the  objective function. This bias increases with the error variances. The  amount of bias, however, also depends on the error structure and the  relations between the objective variables. In this paper, the effect of  uncertainty in forest yields on optimization is studied by simulation.  The effect of two different sources of error, the correlation structure  of these errors and relations among the objective variables are  considered, as well as the effect of two different optimization  approaches. The relations between the objective variables and the error  structure had a notable effect on the optimization results.