A Model for Management of Mixed Coppice Stands in Semiarid Persian Oak Forests

This study aims to present a diameter class model to predict the effects of different forest management practices on growth and yield conditions of the mixed coppice stands of Persian oak (Quercus persica) in the semiarid forests in southern Zagros, Iran. Using inventory data the model was applied to make management recommendations for a forested watershed. Some requested data for the model were extracted from available information on an adjacent forested area. The model was analyzed under a set of different management strategies considering uneven-aged forest management. 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 with the model could show what parameters are critical and therefore motivate research with permanent field trials.