摘要
在国家级森林资源监测中增加森林生物量估计已成为必然趋势,而所需建立的生物量方程应该考虑与立木材积方程的相容性。本文以贵州省人工杉木立木材积和地上生物量数据为例,通过利用度量误差模型方法,研究建立了相容的立木材积方程、地上生物量方程及生物量转换函数。结果表明:在胸径基础上再增加树高因子,对立木材积方程的估计效果有明显改进,而对地上生物量的估计效果则改进不大;对于一元生物量转换函数,转换因子随胸径的增加而减小;对于二元生物量转换函数,转换因子随胸径的增加而增大,但随树高的增加而减小。本文所建立的一元相容性方程,立木材积和地上生物量的预估精度分别达到97%和96%以上;而二元相容性方程,立木材积的预估精度可达99%以上,地上生物量的预估精度则只比一元方程提高不到0.5个百分点。
It has become a trend to supplement national forest resource monitoring with forest biomass estimation. Biomass equations to be developed should be compatible with volume equations. Based on the tree volume and above-ground biomass data of Chinese fir （ Cunninghamia lanceolata） plantations of Guizhou Province in China, the compatible tree volume and above-ground biomass equations and biomass conversion functions were constructed using the error-in-variable modeling method. The results show that： 1） the regressions of volume equations improve significantly when tree height is used together with diameter at breast height （DBH）, while the regressions of biomass equations improve slightly; 2） for biomass conversion function based on one variable, the conversion factor decreases with growing DBH; for conversion function based on two variables, the factor increases with rising DBH but decreases with growing tree height. Through the one variable-based compatible equations, the prediction precisions of tree volume and above-ground biomass estimates are more than 97% and 96% respectively; through the two variables-based equations, the prediction precision of tree volume estimates is more than 99% , but the precision of above-ground bi61nass estimates is only near 0.5 percentage higher than that through onevariable equation.
出处
《北京林业大学学报》
CAS
CSCD
北大核心
2011年第4期1-6,共6页
Journal of Beijing Forestry University
基金
贵州省林业厅科研项目"贵州省人工杉木马尾松生物量通用模型研究"
关键词
立木材积
地上生物量
度量误差模型
平均预估误差
相容性
杉木
tree volume
above-ground biomass
error-in-variable model
mean prediction error
compatibility
Chinese fir
