Articles | Volume 15, issue 2
https://doi.org/10.5194/essd-15-897-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-897-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
21 Feb 2023
Data description paper |
| 21 Feb 2023
| 21 Feb 2023
Maps with 1 km resolution reveal increases in above- and belowground forest biomass carbon pools in China over the past 20 years
Yongzhe Chen
State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, PR China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, PR China
Xiaoming Feng
CORRESPONDING AUTHOR
State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, PR China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, PR China
Bojie Fu
State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, PR China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, PR China
Haozhi Ma
Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
Constantin M. Zohner
Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
Thomas W. Crowther
Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
Yuanyuan Huang
Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France
Oceans and Atmosphere, Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria, Australia
Xutong Wu
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, PR China
Fangli Wei
State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, PR China
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Short summary
This study presented a long-term (2002–2021) above- and belowground biomass dataset for woody vegetation in China at 1 km resolution. It was produced by combining various types of remote sensing observations with adequate plot measurements. Over 2002–2021, China’s woody biomass increased at a high rate, especially in the central and southern parts. This dataset can be applied to evaluate forest carbon sinks across China and the efficiency of ecological restoration programs in China.
This study presented a long-term (2002–2021) above- and belowground biomass dataset for woody...
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