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Effects of national ecological restoration projects on carbon sequestration in China from 2001 to 2010
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Significance China has launched six key ecological restoration projects since the late 1970s, but the contribution of these projects to terrestrial C sequestration remains unknown. In this study we examined the ecosystem C sink in the project area (∼16% of the country’s land area) and evaluated the project-induced C sequestration. The total annual C sink in the project area between 2001 and 2010 was estimated to be 132 Tg C per y, over half of which (74 Tg C per y, 56%) was caused by the implementation of the six projects. This finding indicates that the implementation of the ecological restoration projects in China has significantly increased ecosystem C sequestration across the country.
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“The total annual C sink of the project area was 132 Tg C year−1 in 2001–2010, over half of which was attributed to the implementation of these projects.176”
From Technologies and perspectives for achieving carbon neutrality (2021) · cites this paper as [176]
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“Since the late 1970s, China has implemented six major ecological restoration projects, covering 44.8% of China's forests and 23.2% of its grasslands.175,176”
From Technologies and perspectives for achieving carbon neutrality (2021) · cites this paper as [176]
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Huang, Y., Sun, W., Qin, Z., Zhang, W., Yu, Y., Li, T., Zhang, Q., Wang, G., Yu, L., Wang, Y., et al. (2022) · National Science Review · doi:10.1093/nsr/nwac057 · Cited by 90
Cai, Y., Xu, X., Zhu, P., Nie, S., Wang, C., Xiong, Y., & Liu, X. (2024) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2024.08.001 · Cited by 101
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Spatial-temporal variations of terrestrial evapotranspiration across China from 2000 to 2019
Fu, J., Gong, Y., Zheng, W., Zou, J., Zhang, M., Zhang, Z., Qin, J., Liu, J., & Quan, B. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.153951 · Cited by 90
China’s rising influence on climate governance: Forging a path for the global South
Qi, J. J., & Dauvergne, P. (2022) · Global Environmental Change · doi:10.1016/j.gloenvcha.2022.102484 · Cited by 90
Historical and future variation of soil organic carbon in China
Zhang, Z., Ding, J., Zhu, C., Wang, J., Ge, X., Li, X., Han, L., Chen, X., & Wang, J. (2023) · Geoderma · doi:10.1016/j.geoderma.2023.116557 · Cited by 91
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Large-scale ecosystem carbon stocks and their driving factors across Loess Plateau
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“Afforestation has led to significant growth in the forested area in China and Europe over the past 40–50 years (Bárcena et al., 2014; Chen et al., 2019; Fang et al., 2018; Lu et al., 2018).”
BackgroundChina's Environment on a Metacoupled Planet
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“The carbon sink between 2001 and 2010 in the region of six ecological restoration projects was 132 Tg C/year, 56% of which (74 Tg C/year) was attributed to the implementation of these projects (129).”
BackgroundForest aging limits future carbon sink in China
Leng, Y., Li, W., Ciais, P., Sun, M., Zhu, L., Yue, C., Chang, J., Yao, Y., Zhang, Y., Zhou, J., et al. (2024) · One Earth · doi:10.1016/j.oneear.2024.04.011 · Cited by 86
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The carbon budget of China: 1980–2021
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Mapping the distribution, trends, and drivers of soil organic carbon in China from 1982 to 2019
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Metadata
- Authors
- Lu, F., Hu, H., Sun, W., Zhu, J., Liu, G., Zhou, W., Zhang, Q., Shi, P., Liu, X., Wu, X., Zhang, L., Wei, X., Dai, L., Zhang, K., Sun, Y., Xue, S., Zhang, W., Xiong, D., Deng, L., Liu, B., Zhou, L., Zhang, C., Zheng, X., Cao, J., Huang, Y., He, N., Zhou, G., Bai, Y., Xie, Z., Tang, Z., Wu, B., Fang, J., Liu, G., & Yu, G.
- Affiliations
- Chinese Academy of Sciences (CN)
- University of British Columbia, Okanagan Campus (CA)
- State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau (CN)
- Peking University (CN)
- ORCID
- Lu, Fei
- Hu, Huifeng
- Sun, Wenjuan
- Zhu, Jiaojun
- Liu, Guobin
- Zhou, Wangming
- Zhang, Quanfa
- Shi, Peili
- Liu, Xiuping
- Wu, Xing
- Zhang, Lu
- Wei, Xiaohua
- Zhang, Kerong
- Sun, Yirong
- Xue, Sha
- Zhang, Wanjun
- Deng, Lei
- Zhou, Li
- Zhang, Chao
- Zheng, Xiao
- Cao, Jiansheng
- Huang, Yao
- He, Nianpeng
- Zhou, Guoyi
- Bai, Yongfei
- Xie, Zongqiang
- Tang, Zhiyao
- Wu, Bingfang
- Liu, Guohua
- Yu, Guirui
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2018-04-16
- Volume
- 115
- Issue
- 16
- Pages
- 4039-4044
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC5910802
- OpenAlex
- W2801549624
- Cited by
- 924
- References
- 28
- Citations by year
- 2026: 105 · 2025: 160 · 2024: 164 · 2023: 148 · 2022: 147 · 2021: 92 · 2020: 55 · 2019: 34 · 2018: 18
- FWCI
- 161.24
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Institute of Botany, CAS Institutional Repository (submittedVersion)
- Institute of Hydrobiology, CAS Institutional Repository (submittedVersion)
- Funders
- Strategic Priority Programme of Chinese Academy of Sciences (XDA05060000, XDA05050700)
- Ministry of Science and Technology of the People's Republic of China (2016YFC0503403, 2017YFA0604702)
- Youth Innovation Promotion Association of the Chinese Academy of Sciences (NA)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Forestry › Forest, Soil, and Plant Ecology in China
- Physical Sciences › Environmental Science › Global and Planetary Change › Environmental Changes in China
- Physical Sciences › Environmental Science › Global and Planetary Change › Land Use and Ecosystem Services
- Keywords
- carbon sequestration, terrestrial carbon sink, ecosystem carbon storage, China, land use change, afforestation
- MeSH terms
- Carbon, China, Conservation of Natural Resources, Humans, Plants, Soil, Water Movements, Program Evaluation, Ecosystem, Biomass, Carbon Sequestration, Forests, Grassland
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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