中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Uncertainties in above ground tree biomass estimation

文献类型:期刊论文

作者Qin, Lihou2; Meng, Shengwang1; Zhou, Guang3; Liu, Qijing2; Xu, Zhenzhao2
刊名JOURNAL OF FORESTRY RESEARCH
出版日期2020-10-30
页码12
关键词Above-ground biomass Measurement error Residual variability Parameter estimates Sampling variability
ISSN号1007-662X
DOI10.1007/s11676-020-01243-2
通讯作者Liu, Qijing(wdmtg666@sina.com)
英文摘要Models of above-ground tree biomass have been widely used to estimate forest biomass using national forest inventory data. However, many sources of uncertainty affect above-ground biomass estimation and are challenging to assess. In this study, the uncertainties associated with the measurement error in independent variables (diameter at breast height, tree height), residual variability, variances of the parameter estimates, and the sampling variability of national inventory data are estimated for five above-ground biomass models. The results show sampling variability is the most significant source of uncertainty. The measurement error and residual variability have negligible effects on forests above-ground biomass estimations. Thus, a reduction in the uncertainty of the sampling variability has the greatest potential to decrease the overall uncertainty. The power model containing only the diameter at breast height has the smallest uncertainty. The findings of this study provide suggestions to achieve a trade-off between accuracy and cost for above-ground biomass estimation using field work.
WOS关键词ABOVEGROUND BIOMASS ; NATIONAL FOREST ; TROPICAL FOREST ; CARBON STOCK ; ERROR PROPAGATION ; MODEL PREDICTIONS ; SAMPLING ERROR ; VOLUME ; EQUATIONS
资助项目National Key R&D Program of China[2017YFC0506503-02]
WOS研究方向Forestry
语种英语
WOS记录号WOS:000585686900001
出版者NORTHEAST FORESTRY UNIV
资助机构National Key R&D Program of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/156573]  
专题中国科学院地理科学与资源研究所
通讯作者Liu, Qijing
作者单位1.Chinese Acad Sci, Qianyanzhou Ecol Res Stn, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Beijing Forestry Univ, Coll Forestry, Beijing 100083, Peoples R China
3.Jiangxi Acad Forestry, Nanchang 330022, Jiangxi, Peoples R China
推荐引用方式
GB/T 7714
Qin, Lihou,Meng, Shengwang,Zhou, Guang,et al. Uncertainties in above ground tree biomass estimation[J]. JOURNAL OF FORESTRY RESEARCH,2020:12.
APA Qin, Lihou,Meng, Shengwang,Zhou, Guang,Liu, Qijing,&Xu, Zhenzhao.(2020).Uncertainties in above ground tree biomass estimation.JOURNAL OF FORESTRY RESEARCH,12.
MLA Qin, Lihou,et al."Uncertainties in above ground tree biomass estimation".JOURNAL OF FORESTRY RESEARCH (2020):12.

入库方式: OAI收割

来源:地理科学与资源研究所

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