A Study On The Target Planning Model Of Forest Management Based On Space Constraints

With the development of the society and economy and the enhancement of people’s material living standards,the forest has received more attention in ecological functions,cultural functions,and other aspects besides wood production,and balanced development of ecological,economic,social,cultural and other functions of the forest.Coordinating the complex relationships among various functions and taking into consideration the benefits of each party,using mathematical language to express and base parameters in the optimization model is of great significance for the preparation of multi-functional forest management plans.This study takes Hunan Jindong Forest Farm as the research area,combing out the theoretical basis of the forest multi-purpose management objective planning model,and using linear programming to establish the maximum harvesting timber optimization strategy model with spatially constrained constraints,using LINGO,MATLAB,and R language.Solve the optimal solution under each constraint condition and compare the results of multiple calculations to reflect the forest’s multi-species benefits to the greatest extent.Obtain the business objectives for each period,so as to reasonably arrange forestry business activities.The preliminary conclusions of the study are as follows:(1)According to the calculation results of the multi-purpose objective planning model for forest management,under the various planning conditions,the maximum allowable cutting volume for the precious timber forest of Jindong Forest Farm in the next 50 years is 13662.2m3.This result can be used as the harvesting business activity of the forest farm.The basis for the development of a reasonable amount of annual timber cutting standards.The five stages of cutting were H1=0,H2=0,H3=0,H4=6210.1m3,and H5=7452.1m3,which ensured the stability and balance of timber production under long-term planning.Under the constraints of the model,the subclasses of the harvesting stages are evenly arranged in the 4th and 5th stages,and most of the subclasses will be mainly preserved in the ecological protection function and will remain in the subsequent planning period.(2)Based on the calculation results of the precious timber forest model,compare the three major planning modeling software LINGO17.0,MATLAB2014a,and R3.4.4,use MATLAB code that can optimize the processing of large amounts of data and complex operations,and constrain the adjacent space target planning model.Applied to Jindong Forest Fann fir timber forest.The maximum allowable cutting volume for the Chinese fir plantation in Jindong Forest Farm during the planned period of the next 20 years is 58,3428.5m3.The harvested amount for the first stage of the balanced harvesting of the timber is H1=265194.8m3,and the harvesting quantity for the second stage is H2=318233.7m3.(3)The intelligent optimization algorithm for forest multi-function management is currently only applicable to low-complexity planning models.In this study,traditional 0-1 integer programming is used to provide a target planning model with complex constraints to maximize the amount of timber harvested during the planning period.For the objective function,the specific felling area and the number of small classes for harvesting of valuable timber forests are obtained.(4)Currently,LINGO/LINDO software is used to calculate the forest multi-purpose target business planning model.This paper uses the common planning modeling software MATLAB2014a and R3.4.4 to calculate the target function and each stage of harvesting and accumulation on the basis of using LINGO 17.0.The calculation results of the quantities are the same,but the number and area of small classes for each stage of the harvest are different.This is related to the operation principle and number of iterations between different softwares,and provides a software reference for future large-scale data and complex modeling.