西北林学院学报2024，Vol.39Issue(1)：67-72,80,7.DOI:10.3969/j.issn.1001-7461.2024.01.09
基于熵值法的人工林林木邻体结构优化方法
Entropy Based Optimization Method of Neighborhood Structure for the Individual Plantation Tree
摘要
Abstract
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.关键词
熵值法/邻体结构/模拟试验/油松/人工林Key words
entropy method/neighbor structure/simulated optimization/Pinus tabulaeformis/plantation分类
农业科技引用本文复制引用
王博恒,卢佶,王丹,赵鹏祥,李卫忠,张国威..基于熵值法的人工林林木邻体结构优化方法[J].西北林学院学报,2024,39(1):67-72,80,7.基金项目
国家重点研发计划课题(2016YFD0600203) （2016YFD0600203）
陕西省林业科学研究重大项目(SHLY-2018-02). （SHLY-2018-02）
