[1]王博恒,卢佶,王丹,等. 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.[doi:10.3969/j.issn.1001-7461.2024.01.09]
　WANG Bo-heng,LU Ji,WANG Dan,et al. Entropy Based Optimization Method of Neighborhood Structure for the Individual Plantation Tree[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2024,39(1):67-72.[doi:10.3969/j.issn.1001-7461.2024.01.09]
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 基于熵值法的人工林林木邻体结构优化方法()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第39卷
期数:
2024年第1期
页码:
67-72
栏目:
出版日期:
2024-01-31

文章信息/Info

Title:
 Entropy Based Optimization Method of Neighborhood Structure for the Individual Plantation Tree
文章编号:
1001-7461(2024)01-0067-06
作者:
 王博恒1; 2; 卢佶2; 王丹2; 赵鹏祥1; 李卫忠1; 张国威2*
 （1.西北农林科技大学 林学院，陕西 杨陵 712100；2.国家林业和草原局 华东调查规划设计院，浙江 杭州 310019）
Author(s):
 WANG Bo-heng1; 2; LU Ji2; WANG Dan2; ZHAO Peng-xiang1; LI Wei-zhong1; ZHANG Guo-wei2*
 (1.College of Forestry,Northwest A&F University,Yangling 712100,Shaanxi,China; 2.Eastern China Forest Inventory and Planning Institute of National Forestry and Grassland Administration,Hangzhou 310019,Zhejiang,China)
关键词:
 ; 熵值法; 邻体结构; 模拟试验; 油松; 人工林
Keywords:
 ; entropy method;  neighbor structure;  simulated optimization;  Pinus tabulaeformis;  plantation
分类号:
S725.7
DOI:
10.3969/j.issn.1001-7461.2024.01.09
文献标志码:
A
摘要:
 我国人工林普遍存在生产力低、树种单一、结构不合理的问题，亟须开展有效的林分改造和群落重建工作。以黄龙山油松人工林为对象，基于熵值法和贪婪算法对油松人工林林木邻体结构开展模拟优化调整。结果表明：1）人工林样地在模拟优化前，其树种属性、空间距离和大小分化等方面均与天然林样地存在较大差异。2）基于熵值法的邻体结构模拟优化模型可以有效地优化调整人工林中林木的邻体结构，改善人工林的胸径、树高和单木地上生物量等的分布状态，有利于油松人工林向近自然化方向演替。3）基于熵值法的优化调整方法具有良好的适用性，应用范围广泛，权重指标客观，计算逻辑合理，是人工林结构调整的新方法。
Abstract:
 Plantations in China always exist problems,such as low productivity,simple tree species composition 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 structure 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.

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备注/Memo

备注/Memo:
 收稿日期：2023-01-03修回日期：2023-07-07
基金项目：国家重点研发计划课题（2016YFD0600203）；陕西省林业科学研究重大项目（SHLY-2018-02）。
第一作者：王博恒，博士。研究方向：森林可持续经营。E-mail：vancywang@126.com
*通信作者：张国威，工程师。研究方向：森林资源监测与调查。E-mail：77053081@qq.com
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