区域尺度杉木生物量估计的不确定性度量

doi:10.11707/j.1001-7488.20141211

Abstract

Abstract:

In this article, a method combining Taylor series principle with sampling theory was developed for uncertainty assessment, including both model and sampling errors, and continuous observation data from the permanent sample plot of Jiangxi Province in China was used. Models of above ground tree biomass and different components (stem,bark,branch and foliage) biomass for Chinese fir were fitted with a commonly used allometric model form, and widely recognized root mean square error(RMSE)were applied as measure index for uncertainty assessment. The study revealed that the above ground tree biomass of Chinese fir amounts to 19.34 t ·hm^-2 with additional uncertainty of 0.92 t ·hm^-2, and different above ground biomass components(stem, bark, branch and foliage)were respectively 11.87, 1.95, 3.15, 2.62 t ·hm^-2 with model-dependent RMSE ratio estimators of mean above ground biomass of 3.67%, 3.43%, 7.27% and 6.33%. The sampling error makes a greater contribution to uncertainly in above ground biomass estimation than the modeling error, and uncertainties of branch and foliage biomass estimation were higher compared with those of stem and bark due to relative lower interpret ability from diameter at breast height to above ground biomass(AGB) of corresponding components. The proposed method was well suited for uncertainty assessments for above ground biomass and carbon stocks estimation in connection with sample based surveys such as NFI.

Key words: Chinese fir, above ground biomass, sampling error, model error, uncertainty assessment

CLC Number:

S757

Fu Yu, Lei Yuancai, Zeng Weisheng. Uncertainty Assessment in Regional-Scale Above Ground Biomass Estimation of Chinese Fir[J]. Scientia Silvae Sinicae, 2014, 50(12): 79-86.

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Uncertainty Assessment in Regional-Scale Above Ground Biomass Estimation of Chinese Fir

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