摘要
对油松针叶的年龄结构、针叶量在树冠各轮枝中的分布、针叶叶量与树高、材积生长量的关系,以及修枝对针叶叶量和油松生长量的影响进行了研究,同时应用逐步回归分析方法,在树高、胸径、地径、树龄、冠幅、冠长、冠高比、轮枝数、松枝数、松枝总长度、树高生长量等11个因子中,筛选出与油松针叶叶量关系较密切的树高、胸径、冠幅、冠长、冠高比、松枝数、松枝总长度等7个因子,求出了估测油松针叶叶量的最优回归估测模型,并在林间对此模型进行了估测检验。
The structure of leaf age, distribution of needle biomass in various ring branches of crowns, and the relations between needle biomass and tree heights, and timber volume increments, as well as the effects of pruning on needle biomass and growth increments in P. tabulaeformis have been studied in this paper. Seven factors related to needle biomass, namely tree height, DBH, crown length, crown size, crown/height, numbers and total length of branches, have been selected from 11 lectors by gradual regression analysis method. The best regression assessment model for needle biomass of P. tabulaeformis has been worked out and tested in the forest land of P. tabulaeformis.
出处
《林业科学》
EI
CAS
CSCD
北大核心
1990年第2期101-109,共9页
Scientia Silvae Sinicae
关键词
油松
针叶叶量
逐步回归模型
Pinus tabulaeformis
Needle biomass
Gradual regression analysis model
