26 Sep 2022
26 Sep 2022
Status: this preprint is currently under review for the journal ESSD.

High-resolution maps of above- and belowground woody biomass in China from 2003 to 2020

Yongzhe Chen1,2, Xiaoming Feng1,2, Bojie Fu1,2, Haozhi Ma3, Constantin M. Zohner3, Thomas W. Crowther3, Yuanyuan Huang4,5, Xutong Wu6, and Fangli Wei1 Yongzhe Chen et al.
  • 1State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, PR China
  • 2College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, PR China
  • 3Institute of Integrative Biology, ETH Zurich (Swiss Federal Institute of Technology), Zurich, Switzerland
  • 4Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France
  • 5Commonwealth Scientific and Industrial Research Organisation, Aspendale, Victoria, Australia
  • 6State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, PR China

Abstract. To quantify the ecological consequences of recent nation wide restoration efforts in China, spatially explicit information on woody biomass changes over the 21st century is critical However, long term biomass tracking at the national scale remains challenging as it requires continuous and high resolution monitoring . Here, we mapped above and belowground biomass (AGB and BGB) for woody vegetation in China between 2003 and 2020 at 1 km spatial resolution by integrating multiple types of remote sensing observations with intensive field plot measurements through machine learning and mixed pixel decomposition methods On average, 11.0 ± 0.7 and 2.8 ± 0.2 PgC are stored in above and belowground live woody biomass in China. Over the last 18 years , the total woody biomass carbon in China has increased at a rate of 163.8 TgC yr-1 (0.5 % yr-1). T he most pronounced biomass gains occurred in central to south ern China, including the southern Loess Plateau, Qinling Mountains, southwest karst and southeast forest s . T he combined use of low frequency (L-band , microwaves and laser remote sensing data provides a powerful tool to minimize under or overestimation of biomass variation in space and time Future research is needed to explore the drivers of the observed woody biomass trends , and to evaluate the degree to which biomass gains will translate into biodiverse, healthy ecosystems and thus are sustainable.

Yongzhe Chen et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-286', Anonymous Referee #1, 02 Oct 2022
  • RC2: 'Comment on essd-2022-286', Anonymous Referee #2, 13 Oct 2022
  • RC3: 'Comment on essd-2022-286', Anonymous Referee #3, 20 Oct 2022
  • RC4: 'Comment on essd-2022-286', Jean-Pierre Wigneron, 20 Oct 2022

Yongzhe Chen et al.

Data sets

Longterm above- and belowground woody biomass maps in China from 2003 to 2020 Yongzhe Chen

Yongzhe Chen et al.


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Short summary
This study presented a long-term (2003~2020) 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. The comparison with similar products suggests that we avoided the underestimation of biomass in southern China and the overestimation in northern China. Over 2003~2020, China’s woody biomass increased at a high rate, especially in central and southern parts.