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北亚热带高山区日本落叶松林相容性生物量模型研究
引用本文:王宏全,孙晓梅,张灿明,李子敬,李忠国. 北亚热带高山区日本落叶松林相容性生物量模型研究[J]. 东北农业大学学报, 2011, 42(2): 131-138
作者姓名:王宏全  孙晓梅  张灿明  李子敬  李忠国
作者单位:王宏全,孙晓梅,李子敬,李忠国,WANG Hongquan,SUN xiaomei,LI Zijing,LI Zhongguo(国家林业局林木培育重点实验室,中国林业科学研究院林业研究所,北京,100091);张灿明,ZHANG Canming(湖南省林业科学研究院,长沙,410004)
基金项目:国家"十一五"科技支撑课题
摘    要:研究在北亚热带高山区日本落叶松林内均匀设置51块标准地,对单木、灌草和林分的生物量进行测定并建模,再通过独立检测样地验证模型的精度.结果表明,日本落叶松单木生物量模型以D2H为参数的拟合精度高于仅以D为参数的模型,其中幂函数B=4.6×(D2H)0.827对预测北亚热带高山区日本落叶松单木生物量效果最佳,γ值和F值分别...

关 键 词:日本落叶松  单木生物量模型  逐步回归  联合估计  相容性生物量模型

Research on compatible model for biomass of Larix kaempferi forest in northern sub-tropical alpine area
WANG Hongquan,SUN xiaomei,ZHANG Canming,LI Zijing,LI Zhongguo. Research on compatible model for biomass of Larix kaempferi forest in northern sub-tropical alpine area[J]. Journal of Northeast Agricultural University, 2011, 42(2): 131-138
Authors:WANG Hongquan  SUN xiaomei  ZHANG Canming  LI Zijing  LI Zhongguo
Abstract:Total 51 standard plots with five quadrats of shrub and grass for each were designed during the experiment in northern sub-tropical alpine area and the biomass of individual tree,shrub,grass and forest stand were measured and modeled. The examined plots were used to check all the models. The results showed that the predicting accuracy of models with D2H as parameter was higher than that of the models with only D as parameter;the fitting result of power function B=4.6×(D2H) 0.827 was the best,R value,F value of which were 0.979 and 926.1,respectively and regression performance was significant;the estimating error of the biomass of shrub and herb was closely related with sampling accuracy rather than the sample size;in the model for forest,the information contained in C,A,D,H,V,N and B were overlapped but the invalid variables were eliminated by the method of correlation analysis and stepwise regression;the precision of the model for trunk was the highest with 96.89% but that of the model for shrub and grass were the lowest with 83.20% and 80.09%,respectively;forest biomass was calculated by the jointed estimation method,the predicting accuracy of which was 94.44%,and 95% of residual for the model was reasonable;and the seried models in this research solved the compatibility problem for Larix kaempferi in this region.
Keywords:Larix kaempferi  individual model  stepwise regression  joint estimation  compatible biomass model
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