摘要
比较了一系列估测树木各器官生物量的模型,并用32株杉木生物量数据进行验证。结果表明,用大小因子(D_(1·3))和形状因子[H/D_(1·3)(高—径比率)、Cr(树冠比率)]作自变量的回归估测模型,比单用大小因子作自变量的模型显著地提高了估测精度。是估测树干、地上部分总量,尤其是叶生物量的较好模型。
This paper deseribes and compares a series of models for estimating tree biomass. The authors identify them with the biomass data of 32 trees. The result suggests the precision of two-independent梫ariable regression models, using tree's size factor (Dbh) and form factor (H/Dbh & Cr (erown)) as independent variable, are obviously higher than that of one-independent-variable regression models, which use tree's size factor (Dbh) as independent variable. The two-independent- variable models are better ones for estimating stem weight, total aboveground weight, in special, branch weight, and leaf weight.
出处
《南京林业大学学报(自然科学版)》
CAS
CSCD
1990年第1期30-34,共5页
Journal of Nanjing Forestry University:Natural Sciences Edition
关键词
杉木
生物量
树冠比率
回归模型
Chinese fir
Biomass
Crown ratio
Regression model