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
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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 |
DOI | 10.1007/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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