摘要
通过对贺兰山天然油松林分进行每木调查,应用相关分析方法,采用幂指数模型对贺兰山天然油松林单株生物量模型进行了模拟。结果表明:贺兰山天然油松林各器官生物量分配比率为树干>树枝>树根>树皮>树叶。分别以树高、胸径、1/2树高处直径和胸径平方乘树高为自变量,与各器官生物量拟合的预测模型中,树干、树枝和树根的生物量预测模型拟合效果较好,具有一定的实用价值;树叶的生物量预测模型拟合效果中等,树皮的生物量预测模型拟合效果较差;任一自变量与单株生物量拟合的预测方程适用性均较好。
Based on the forest inventory data and the biomass of average tree sampled in 12 plots, the correlation between the height, DBH and different parts of an individual tree were analyzed. And through the method of recession analysis, the power index model of individual biomass of Pinus tabulaeformis in Mt. Helan, Ningxia Province was established. The results demonstrated that the biomass distribution ratio of each part of P. tabulaeformis in Mt. Helan was in the order of trunk〉branch〉root〉bark〉leaf. In the models in which the independent variable is the tree height(H), diameter at breast height(D), diameter at 1/2 total height(D1/2) and DZH respectively, trunk, branch and root biomass recession models were well fitted; leaf and bark biomass recession models were fitted not as well as the other models. Any prediction equation fitted through each independent variable and individual biomass can be better in application.
出处
《西北林学院学报》
CSCD
北大核心
2010年第6期69-74,共6页
Journal of Northwest Forestry University
基金
国家林业公益性行业专项"陕西宁夏省区森林生态系统服务功能定位观测与评估技术"(200704005/wb06)
关键词
生物量
回归模型
油松
贺兰山
biomass
recession models
Pinus tabulaeformis
Helan Mountains