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.
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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Cited
22 citations as recorded by crossref.
- A Novel Forest EcoSpatial Network for Carbon Stocking Using Complex Network Theory in the Yellow River Basin H. Zhang et al. 10.3390/rs15102612
- How to Simulate Carbon Sequestration Potential of Forest Vegetation? A Forest Carbon Sequestration Model across a Typical Mountain City in China D. Guan et al. 10.3390/rs15215096
- China’s Climate Change Policy Attention and Forestry Carbon Sequestration Growth J. Meng et al. 10.3390/f14112273
- Climate-effective use of straw in the EU bioeconomy—comparing avoided and delayed emissions in the agricultural, energy and construction sectors C. Phan-huy et al. 10.1088/1748-9326/ad0517
- Climate Factors Affect Above–Belowground Biomass Allocation in Broad-Leaved and Coniferous Forests by Regulating Soil Nutrients X. Zhang et al. 10.3390/plants12233926
- Demographic shrinkage promotes ecosystem services supply capacity in the karst desertification control S. Zhang et al. 10.1016/j.scitotenv.2024.170427
- Evaluating the Research Status of the Remote Sensing-Mediated Monitoring of Forest Biomass: A Bibliometric Analysis of WOS Y. Shi et al. 10.3390/f15030524
- Maps with 1 km resolution reveal increases in above- and belowground forest biomass carbon pools in China over the past 20 years Y. Chen et al. 10.5194/essd-15-897-2023
- Spatial and Temporal Patterns of Forest Biomass Carbon Sink in China from 1990 to 2021 W. Guo et al. 10.3390/rs16203811
- Future Reductions in Suitable Habitat for Key Tree Species Result in Declining Boreal Forest Aboveground Biomass Carbon in China B. Zhu et al. 10.3390/f14102053
- Principle, technique and application of grassland improvement X. Huang & F. Hou 10.1016/j.jenvman.2024.122264
- Satellite-based monitoring of China's above-ground biomass carbon sink from 2015 to 2021 H. Fang et al. 10.1016/j.agrformet.2024.110172
- Unveiling the spatiotemporal dynamics and influencing factors of carbon stocks in the yangtze river basin over the past two decades H. Xi & T. Li 10.1016/j.scitotenv.2024.176261
- Influence of BRDF Models and Solar Zenith Angles on Forest Above-Ground Biomass Derived from MODIS Multi-Angular Indices L. Cui et al. 10.3390/f15030541
- An integrated approach to assess spatial and temporal changes in the contribution of the ecosystem to sustainable development goals over 20 years in China Z. Ma et al. 10.1016/j.scitotenv.2023.166237
- Three decades of spatiotemporal dynamics in forest biomass density in the Qinba Mountains J. Chang & C. Huang 10.1016/j.ecoinf.2024.102566
- Comparison of the CASA and InVEST models’ effects for estimating spatiotemporal differences in carbon storage of green spaces in megacities R. Wang et al. 10.1038/s41598-024-55858-0
- Evaluation of optical and microwave-derived vegetation indices for monitoring aboveground biomass over China Z. Chang et al. 10.1080/10095020.2024.2311858
- Estimating Aboveground Biomass of Boreal Forests in Northern China Using Multiple Datasets J. Li et al. 10.1109/TGRS.2024.3408316
- Carbon sequestration potential of tree planting in China L. Yao et al. 10.1038/s41467-024-52785-6
- Factors driving carbon accumulation in forest biomass and soil organic carbon across natural forests and planted forests in China T. Wang et al. 10.3389/ffgc.2023.1333868
- Combining Sentinel-2 and diverse environmental data largely improved aboveground biomass estimation in China’s boreal forests P. Liu et al. 10.1038/s41598-024-78615-9
21 citations as recorded by crossref.
- A Novel Forest EcoSpatial Network for Carbon Stocking Using Complex Network Theory in the Yellow River Basin H. Zhang et al. 10.3390/rs15102612
- How to Simulate Carbon Sequestration Potential of Forest Vegetation? A Forest Carbon Sequestration Model across a Typical Mountain City in China D. Guan et al. 10.3390/rs15215096
- China’s Climate Change Policy Attention and Forestry Carbon Sequestration Growth J. Meng et al. 10.3390/f14112273
- Climate-effective use of straw in the EU bioeconomy—comparing avoided and delayed emissions in the agricultural, energy and construction sectors C. Phan-huy et al. 10.1088/1748-9326/ad0517
- Climate Factors Affect Above–Belowground Biomass Allocation in Broad-Leaved and Coniferous Forests by Regulating Soil Nutrients X. Zhang et al. 10.3390/plants12233926
- Demographic shrinkage promotes ecosystem services supply capacity in the karst desertification control S. Zhang et al. 10.1016/j.scitotenv.2024.170427
- Evaluating the Research Status of the Remote Sensing-Mediated Monitoring of Forest Biomass: A Bibliometric Analysis of WOS Y. Shi et al. 10.3390/f15030524
- Maps with 1 km resolution reveal increases in above- and belowground forest biomass carbon pools in China over the past 20 years Y. Chen et al. 10.5194/essd-15-897-2023
- Spatial and Temporal Patterns of Forest Biomass Carbon Sink in China from 1990 to 2021 W. Guo et al. 10.3390/rs16203811
- Future Reductions in Suitable Habitat for Key Tree Species Result in Declining Boreal Forest Aboveground Biomass Carbon in China B. Zhu et al. 10.3390/f14102053
- Principle, technique and application of grassland improvement X. Huang & F. Hou 10.1016/j.jenvman.2024.122264
- Satellite-based monitoring of China's above-ground biomass carbon sink from 2015 to 2021 H. Fang et al. 10.1016/j.agrformet.2024.110172
- Unveiling the spatiotemporal dynamics and influencing factors of carbon stocks in the yangtze river basin over the past two decades H. Xi & T. Li 10.1016/j.scitotenv.2024.176261
- Influence of BRDF Models and Solar Zenith Angles on Forest Above-Ground Biomass Derived from MODIS Multi-Angular Indices L. Cui et al. 10.3390/f15030541
- An integrated approach to assess spatial and temporal changes in the contribution of the ecosystem to sustainable development goals over 20 years in China Z. Ma et al. 10.1016/j.scitotenv.2023.166237
- Three decades of spatiotemporal dynamics in forest biomass density in the Qinba Mountains J. Chang & C. Huang 10.1016/j.ecoinf.2024.102566
- Comparison of the CASA and InVEST models’ effects for estimating spatiotemporal differences in carbon storage of green spaces in megacities R. Wang et al. 10.1038/s41598-024-55858-0
- Evaluation of optical and microwave-derived vegetation indices for monitoring aboveground biomass over China Z. Chang et al. 10.1080/10095020.2024.2311858
- Estimating Aboveground Biomass of Boreal Forests in Northern China Using Multiple Datasets J. Li et al. 10.1109/TGRS.2024.3408316
- Carbon sequestration potential of tree planting in China L. Yao et al. 10.1038/s41467-024-52785-6
- Factors driving carbon accumulation in forest biomass and soil organic carbon across natural forests and planted forests in China T. Wang et al. 10.3389/ffgc.2023.1333868
Latest update: 13 Dec 2024
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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