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Position: Home > Articles > Study on Competition Stress Index of Quercus Mongolica Secondary Forest Forest Resources Management 2015 (2) 71-76+176

蒙古栎次生林林木竞争压力指数研究

作  者：
吕飞舟;李新建;冯强;吕勇
单  位：
中南林业科技大学;国家林业局中南林业调查规划设计院
关键词：
蒙古栎次生林;冠幅模型;竞争压力指数;林木竞争
摘  要：
为研究林木竞争机制,优化林分结构和调整抚育间伐技术,以汪清林业局蒙古栎次生林为研究对象,构建了蒙古栎自由树的冠幅模型,提出了影响力因子、影响圈共生模式识别因子,量化单木竞争状态。基于108棵蒙古栎优势木数据,采用调整系数法构建蒙古栎自由树的冠幅与胸径相关的冠幅模型为CW=0.109 4+0.299 8×D;采用影响力因子来确定林分中任意对象木的竞争木;将对象木的影响圈与其竞争木的影响圈之间的共生模式划分为4种类型,利用影响圈共生模式识别因子(FSI)进行共生模式判断,分别4种共生模式确定树冠重叠面积的计算方法。基于不同的共生模式,运用相应的竞争压力指数(CSI)计量模型计算CSI值,并通过案例分析,得到样木CSI值为439。
译  名：
Study on Competition Stress Index of Quercus Mongolica Secondary Forest
作  者：
Lü Feizhou;LI Xinjian;FENG Qiang;Lü Yong;Central South University of Forestry and Technology;Central South Inventory and Planning Institute of State Forestry Administration;
关键词：
Quercus mongolica secondary forests,crown model,competition stress index,tree competition
摘  要：
To study the competition mechanism of trees,and optimize it's structure and adjust thinning technology for Quercus mongolica secondary forest in Wangqing,this paper builds the crown model of the Quercus mongolica free-tree and the influential factors and the circle of influence symbiotic mode judgment factors are analyzed. Based on 108 Quercus mongolica advantage tree data,using regression analysis,adjusting the coefficient associated with the construction of crown and DBH model of Quercus mongolica advantage trees,the result is CW = 0. 1094 + 0. 2998 D. Based on the definition of forest competition,the influential factor is used to determine the competition wood of the object wood. The symbiotic mode between the influence circle of objects wood and the influence circle of competition wood is divided into 4types,the determinant affecting the symbiotic circle FSI is used to judge the symbiotic mode and calculate the various symbiotic mode crown overlapping area. Based on different models,the corresponding competitive pressure index CSI measurement model is used to calculate the value. After the case is studied,the CSI value of the sample tree is 439.

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