不同立地条件下杉木林适宜经营密度的研究  

The Study of the Appropriate Management Density under Different Site Conditions of Cunninghamia Lanceolata

作　　者：贺环洋 孟伟 He Huanyang;Meng Wei(Guizhou Forestry Survey and Design Co.,Ltd.,Guiyang Guizhou550000;Guizhou Forestry Survey Planning Institute,Guiyang Guizhou550003)

机构地区：[1]贵州林业勘察设计有限公司,贵州贵阳550000 [2]贵州省林业调查规划院,贵州贵阳550003

出　　处：《热带林业》2022年第4期9-12,共4页Tropical Forestry

摘　　要：该文以湖南国有林场杉木为研究对象,利用回归分析方法和统计之林数据分析软件对39块标准地数据进行数据分析处理与建模。结果表明:(1)建立了湖南国有林场杉木人工林蓄积量与密度、平均高相关关系模型:M=0.800594×H^(1.204421)×N^(1.751841)+9.35×10^(-8)×H^(2.901513)×N^(1.751841),建模的确定系数、平均相对误差与精度分别为0.893735、0.8571%、97.195%,模型适用性检验的平均相对误差为-0.026811%,表明模型精度较高,适用性较强。(2)指出了湖南国有林场杉木人工林最佳经营密度为1500株/hm~2~2000株/hm~2。为湖南国有林场杉木人工林的可持续经营提供理论指导,具有一定的理论和实际意义。In this study,taking Cunninghamia Lanceolata in Hunan state-owned forest farm as the research object,and using regression analysis theory and the software of ForStat,the data from 39 plots had been analyzed and simulated.Several conclusions had been gained:(1)The stand volume and density model for artificial stand of Cunninghamia lanceolata in Hunan had been established,the model formula was M=0.800594×H^(1.204421)×N^(1.751841)+9.35×10^(-8)×H^(2.901513)×N^(1.751841).The determination coefficient,average relative error and precision of modiling are 0.893735,0.857%and 97.195%respectively,the avrage relative error of model applicability test is-0.026811%,it shows that the model has high accuracy and strong applicability.(2)The best appropriate density for artificial stand for Cunninghamia lanceolata in Hunan was from 1500 to 2000 trees every hectare.It was very important to sustainable management for artificial stand management for Cunninghamia lanceolata in Hunan.

关 键 词：杉木 林分密度 蓄积量模型 回归分析法 

分 类 号：S791.27[农业科学—林木遗传育种]