Articles | Volume 13, issue 13
https://doi.org/10.5194/bg-13-3991-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-13-3991-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Analysing the uncertainty of estimating forest carbon stocks in China
Tian Xiang Yue
CORRESPONDING AUTHOR
State Key Laboratory of Resources and Environment Information System, Institute of Geographical Science and Natural
Resources Research, Beijing 100101, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing
210023, China
Yi Fu Wang
CORRESPONDING AUTHOR
College of Forestry, Beijing Forestry University, Beijing 100083, China
Zheng Ping Du
State Key Laboratory of Resources and Environment Information System, Institute of Geographical Science and Natural
Resources Research, Beijing 100101, China
Ming Wei Zhao
State Key Laboratory of Resources and Environment Information System, Institute of Geographical Science and Natural
Resources Research, Beijing 100101, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Li Li Zhang
State Key Laboratory of Resources and Environment Information System, Institute of Geographical Science and Natural
Resources Research, Beijing 100101, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Na Zhao
State Key Laboratory of Resources and Environment Information System, Institute of Geographical Science and Natural
Resources Research, Beijing 100101, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing
210023, China
Ming Lu
State Key Laboratory of Resources and Environment Information System, Institute of Geographical Science and Natural
Resources Research, Beijing 100101, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Guy R. Larocque
Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Québec (QC), G1V 5B9, Canada
John P. Wilson
6Spatial Sciences Institute, Dana and David Dornsife College of Letters, Arts and Sciences, University of Southern
California, Los Angeles, CA 90089-0374, USA
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Latest update: 08 Nov 2025
Short summary
The fusion of ground-based forest inventory data with satellite observations achieved with HASM-S provided much more accurate estimates of forest carbon stocks, comparing with either the remote sensing descriptions or the forest inventory data. The HASM-S results show that the forest carbon stocks of China have increased by 2.24 Pg during the period 1984–2008 to a new high of 7.08 Pg C in 2008.
The fusion of ground-based forest inventory data with satellite observations achieved with...
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