基于熵值法的人工林林木邻体结构优化方法OACSTPCD

Plantations in China always exist problems,such as low productivity,simple tree species composi-tion and unreasonable structure,which need rational stand transformation and community reestablishment.Pinus tabulaeformis plantations occurring in the Huanglong Mountain,Yanan,were taken as the research objects to carry out simulating optimization of individual tree's neighbor structure based on entropy and greedy algorithm method.The results were as follows:1)the sample plots of the original plantations were different from the plots of natural forests in tree composition,spatial distance and tree size proportion.2)The simulation optimization model based on entropy method could rationally adjusts the neighbor struc-ture among trees and could change the distribution of DBH,tree height and tree's aboveground biomass,which also improved the plantation succession to the near natural direction.3)The results indicated that the entropy based optimization and adjust method present good adaptability,wide application scope,objective weight index and reasonable calculation logic,it is a new novel method for the adjustment for plantations.