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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]
In the citing paper
“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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Spatiotemporal carbon sequestration by forests among counties and grids in China
Chen, B., Liu, Y., Li, Z., Xu, C., & Hou, W. (2024) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2024.142971 · Cited by 10
Yang, J., Li, J., Guan, X., Chen, Y., Zhang, Z., & Li, W. (2024) · Ecological Engineering · doi:10.1016/j.ecoleng.2024.107355 · Cited by 10
Identifying the dominant compound events and their impacts on vegetation growth in China
Zong, X., Liu, Y., & Yin, Y. (2024) · Weather and Climate Extremes · doi:10.1016/j.wace.2024.100715 · Cited by 12
Liu, R., Yao, Y., Chu, Q., Wei, D., Wang, X., & Zhang, S. (2024) · Journal of Environmental Management · doi:10.1016/j.jenvman.2024.122462 · Cited by 10
Zhang, R., Li, H., & Liu, Z. (2025) · Land · doi:10.3390/land14010093 · Cited by 10
Ji, S., Ren, S., Fang, L., Chen, J., Wang, G., & Wang, Q. (2025) · Remote Sensing · doi:10.3390/rs17030487 · Cited by 10
Yan, M., Xie, J., Wang, C., Chen, R., & Yin, G. (2025) · Ecological Engineering · doi:10.1016/j.ecoleng.2025.107588 · Cited by 11
Zhang, Y., Ma, W., Wang, N., Zhao, L., Hu, Q., Lei, S., & Li, H. (2025) · GIScience & Remote Sensing · doi:10.1080/15481603.2025.2483492 · Cited by 10
“Anthropogenic factors affecting CS encompassing socioeconomic factors (Li et al. 2022), timber harvesting (Zald et al. 2016), urbaniza-tion-induced land use/cover change (Marques et al. 2019; A. Wang et al. 2023), and ecological restoration initiatives (Lu et al. 2018).”
Yang, J., Fang, C., Zhang, L., & Yang, Y. (2025) · Resources Conservation and Recycling · doi:10.1016/j.resconrec.2025.108355 · Cited by 11
Temporal Changes in Land Use, Vegetation, and Productivity in Southwest China
Li, X., Li, R., Zhang, M., Yang, W., Zeng, Z., Yuan, C., & Wang, Q. (2022) · Land · doi:10.3390/land11081331 · Cited by 10
Spatiotemporal Assessment of Forest Fire Vulnerability in China Using Automated Machine Learning
Ren, H., Zhang, L., Yan, M., Chen, B., Yang, Z., & Ruan, L. (2022) · Remote Sensing · doi:10.3390/rs14235965 · Cited by 11
Hua, L., Ran, R., Xie, M., & Li, T. (2023) · Environment Development and Sustainability · doi:10.1007/s10668-023-03337-3 · Cited by 10
Xiao, L., Leng, M., Greenwood, P., Zhao, R., Xie, Z., You, Z., & Liu, J. (2023) · Journal of Environmental Management · doi:10.1016/j.jenvman.2023.119696 · Cited by 10
Zhang, Y., Xie, Y., Ma, H., Jing, L., Matthew, C., & Li, J. (2020) · PeerJ · doi:10.7717/peerj.8986 · Cited by 10
“The C stock of Chinese grassland vegetation has been estimated at 1.0 Pg, and the total carbon stocks of Chinese grassland ecosystems at 29.1 Pg (Lu et al., 2018; Tang et al., 2018), with grasslands accounting for 21.55% of C sequestration in Chinese terrestrial ecosystems.”
BackgroundInfluentialAssessing and predicting soil carbon density in China using CMIP5 earth system models
Qiu, L., Yu, M., Wu, Y., Yao, Y., Wang, Z., Shi, Z., & Guan, Y. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.149247 · Cited by 10
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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