Studies on the construction of management plans for private forests (I)

Determination of harvests and cutting areas of artificial forests for constructing a district forest plan

Abstract

Two models for planning the cutting and planting of artificial forests in a district forest plan area are developed and demonstrated. Linear programming is used in both models. The first model is stochastic and is based on SUZUKI's “Gentan Probability.” The objective of this model is to convert as near as possible the age class distribution of present forests to that of the generalized normal forest defined by SUZUKI by the end of the tenth period by appropriately alloting an area of expansive reforestation to each period. The second model is designed to convert present forests to this normality in twenty periods (100 years) through controlling the removal of the growing stock with reforestation in each period to maximize the expected harvests during the conversion period. Both models proved to be useful in constructing a district forest plan.