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笔者研究了太白山北坡海拔3250m处的太白红杉林的群落学特征,对其生物量用多种生物回归模型作了预测,得到了太白红杉生物量的最优模型是:.各种灌木的模型形式不同.草本植物用收获法测定.太白红杉林的总生物量为205.565t/ha,其中乔木层166.587t/ha,灌木层37.673t/ha.草本层 1.305t/ha.最后讨论了曲线回归模型的形式和检验问题.
The author studied the community characteristics of Picea obscurus at 3250 m above the northern slope of Taibai Mountain and predicted its biomass using multiple bioregression models. The optimal models for the biomass of Picea meleagris were as follows: Of the different forms of the herbs.Determination of herbs by the harvest.The total biomass of the Chinese red cedary forest was 205.565t / ha, of which 166.587t / ha for the tree layer, 37.673t / ha for the shrub layer and 1.305t / ha for the herb layer Finally, Curve regression model of the form and test problems.