An optimization model for management of Persian oak stands

A diameter class model was used to predict the effects of different forest management practices on growth and yield conditions of stands of Persian oak (Quercus persica) in southern Zagros, Iran. Using inventory data, the model was applied to make some management recommendations for a forested watershed. The model was analyzed under a set of different management strategies. Linear programming was used to solve the problems. The model yields results of importance for policy development. For instance, the present prohibition of harvests could be counterproductive as some 10– 20 times more volume can be extracted when harvests are allowed. In addition, the effect of improved protection of natural regeneration from grazing seems only to be justified if it is combined with harvesting trees. These conclusions should however be considered with great caution as the calculated model parameters hinge on a number of critical assumptions. Sensitivity analyses show what parameters are critical and therefore motivate research with permanent field trials