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    曾伟生, 夏忠胜, 朱松, 罗洪章. 贵州人工杉木相容性立木材积和地上生物量方程的建立[J]. 北京林业大学学报, 2011, 33(4): 1-6.
    引用本文: 曾伟生, 夏忠胜, 朱松, 罗洪章. 贵州人工杉木相容性立木材积和地上生物量方程的建立[J]. 北京林业大学学报, 2011, 33(4): 1-6.
    ZENG Wei-sheng, XIA Zhong-sheng, ZHU Song, LUO Hong-zhang. Compatible tree volume and above-ground biomass equations for Chinese fir plantations in Guizhou[J]. Journal of Beijing Forestry University, 2011, 33(4): 1-6.
    Citation: ZENG Wei-sheng, XIA Zhong-sheng, ZHU Song, LUO Hong-zhang. Compatible tree volume and above-ground biomass equations for Chinese fir plantations in Guizhou[J]. Journal of Beijing Forestry University, 2011, 33(4): 1-6.

    贵州人工杉木相容性立木材积和地上生物量方程的建立

    Compatible tree volume and above-ground biomass equations for Chinese fir plantations in Guizhou

    • 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。

       

      Abstract: 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 biomass estimates is only near 0.5 percentage higher than that through one-variable equation.

       

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