杉木短周期小径级速生材培育模式树干生物量模型构建  

Construction of a Tree Trunk Biomass Model for Short-cycle Small-sized Timber Model of Cunninghamia lanceolata

作　　者：刘星[1] 袁慧 唐岚[1] 郑京津[1] 许业洲[1,2] Liu Xing;Yuan Hui;Tang Lan;Zheng Jingjin;Xu Yezhou(Hubei Academy of Forestry,Wuhan 430075;Hubei Fast Growing and High Yield Forest Engineering Technology Research Center,Wuhan 430075)

机构地区：[1]湖北省林业科学研究院,武汉430075 [2]湖北省速生生产林工程技术研究中心,武汉430075

出　　处：《湖北林业科技》2023年第1期1-7,共7页Hubei Forestry Science and Technology

基　　金：国家重点研发计划子任务“湖北杉木人工林近自然改造技术”(2021YFD2201304-01)。

摘　　要：以湖北省咸宁市咸安区7~12 a杉木短周期小径级速生材培育模式人工林为研究对象,用96株解析木数据构建该模式树干生物量模型。结果表明:平均单木树干生物量为18.64 kg,其中62.5%的样本树干生物量在10~20 kg,而主伐年龄9~10 a的平均单木生物量为20 kg左右;以胸径为变量的一元方程和以胸径、树高为变量的二元方程均达到了较好的拟合效果(R2>0.9),但二元方程拟合精度更高;经检验,最优一元方程(W=0.104×D2.123)和最优二元方程(W=0.02×D1.486×H1.362)的预估精度分别为92.25%和94.75%,均能满足生产应用需求和标准,为该栽培模式木材生物量估算提供技术支持。The tree trunk biomass model of 7~12 years Cunninghamia lanceolata short-cycle small-path fast-growing plantation in Xian’an District,Xianning City,Hubei Province was constructed with the data of 96 analytical trees.The results showed that the average single tree trunk biomass was 18.64 kg,of which 62.5%of the samples were in the range of 10~20 kg,and the average single tree biomass was about 20 kg in the age of 9~10 years.The univariate equation with DBH as variable and the bivariate equation with DBH and tree height as variable achieved good fitting effect(R~2>0.9),but the bivariate equation had higher fitting accuracy.By test,the prediction accuracy of the optimal monadic equation(W=0.104×D2.123)and the optimal bivariate equation(W=0.02×D1.486×H1.362)were 92.25%and 94.75%,respectively,which could meet the requirements and standards of production and application,and provide technical support for wood biomass estimation in this cultivation mode.

关 键 词：杉木 短周期 小径材 树干生物量 模型构建 

分 类 号：S792.18[农业科学—林木遗传育种]