Study On Forest Harvest Adjustment Of Fuqing Lingshi State-owned Forest Farm

Chinese forest resources play an important role in China’s social and economic development, of which the collectively forest accounts for more than a half. By the reason of management confusion, the forest structure is irrational, which needs plan adjustment for forest harvesting scheme. The paper takes Fuqing Lingshi State-owned Forest Farm as example, adopting data from forest archives of this farm and local economic indicators in 2014, and taking firs and pines in the farm as the subject for the experiment. According to varieties and ages of trees, and taking the sustainable use of forest resources as basic principle, we could adopt the farm’s great volume of wood and the highest net income in adjustment period and the largest forest volume in the end of adjustment period to achieve the maximum assessed value of forest resources property for the goal. Adopting linear programming to determine target value in the first, and then target programming method to minimum deviation of the target value, through the above two steps, we can adjust the forest resources, and build four mathematical modeling for multi-objective target account. Conclusions are as follows.l.With the application of Linear Programming to the forest harvest adjustment, we can reach the single target to a maximum degree, meanwhile can improve and manage the forest structure of all age levels. For example, before adjusting the Chinese firs, the age level area distributes in disorder. If we adjust with the Linear Programming, we can reach a maximum target, moreover, the area of fir distribution in different levels will stay between 2347-2689 Chinese acre (about 387-443 acre) which is within the expected range, then make the forest remains the normal balanced status. With the adjustment of forest harvest, we can keep the harvest in balance, and avoid cutting young trees, and ensure those adult trees to be cutted in time. This practice reflects the optical principle of forest harvest.2.If the model is solved by linear programming, the target value can be maximum obtained, yet at the same time, the maximum value of the other target value can not be obtained even a bit, which means that the maximum value of a target is obtained at the expense of other targets values. So we use the multi-objective computation to optimize the results of linear programming. The results show that the optimization not only can ensure the sustainable use of forest resources, but also it can minimize the differences between every target value and its maximum value.3.Using the Multi-objective computation to make decisions in forest harvest adjustment should on the basis of the particular circumstances of different period or stand quality to give each target the corresponding weight, which makes the direction of strategy be flexible according to the management idea of producers.4.First step, make a targeted value with the Linear Programming Method. Second step, minimize the targeted value through Target Programming Method. Through these two steps, we integrate the forest resource with the aim to build a model that we can fully calculate the area range of management levels during the adjustment periods, in stead of dead one. Such model will conform to the objective fact of dynamic forest management system, and these two steps can make the built model more useful and more practicable. By adjustment, the deviation between targeted value and maximum value will be allowable. We can apply the result to forest management plan and forest integrated plan.5.Because of the influences of the politics, natural disasters and the market economy. The project which is done by research and calculation should be adjusted according to the current situation.