Forest expansion dominates China's land carbon sink since 1980
dc.contributor.author | Yu, Z | |
dc.contributor.author | Ciais, P | |
dc.contributor.author | Piao, S | |
dc.contributor.author | Houghton, RA | |
dc.contributor.author | Lu, C | |
dc.contributor.author | Tian, H | |
dc.contributor.author | Agathokleous, E | |
dc.contributor.author | Kattel, GR | |
dc.contributor.author | Sitch, S | |
dc.contributor.author | Goll, D | |
dc.contributor.author | Yue, X | |
dc.contributor.author | Walker, A | |
dc.contributor.author | Friedlingstein, P | |
dc.contributor.author | Jain, AK | |
dc.contributor.author | Liu, S | |
dc.contributor.author | Zhou, G | |
dc.date.accessioned | 2022-11-04T11:40:48Z | |
dc.date.issued | 2022-09-13 | |
dc.date.updated | 2022-11-04T10:54:47Z | |
dc.description.abstract | Carbon budget accounting relies heavily on Food and Agriculture Organization land-use data reported by governments. Here we develop a new land-use and cover-change database for China, finding that differing historical survey methods biased China's reported data causing large errors in Food and Agriculture Organization databases. Land ecosystem model simulations driven with the new data reveal a strong carbon sink of 8.9 ± 0.8 Pg carbon from 1980 to 2019 in China, which was not captured in Food and Agriculture Organization data-based estimations due to biased land-use and cover-change signals. The land-use and cover-change in China, characterized by a rapid forest expansion from 1980 to 2019, contributed to nearly 44% of the national terrestrial carbon sink. In contrast, climate changes (22.3%), increasing nitrogen deposition (12.9%), and rising carbon dioxide (8.1%) are less important contributors. This indicates that previous studies have greatly underestimated the impact of land-use and cover-change on the terrestrial carbon balance of China. This study underlines the importance of reliable land-use and cover-change databases in global carbon budget accounting. | en_GB |
dc.description.sponsorship | National Key Research and Development Program of China | en_GB |
dc.description.sponsorship | National Science Foundation of China | en_GB |
dc.description.sponsorship | Startup Foundation for Introducing Talent of NUIST | en_GB |
dc.description.sponsorship | Natural Science Foundation of Jiangsu Higher Education Institution of China | en_GB |
dc.format.extent | 5374- | |
dc.format.medium | Electronic | |
dc.identifier.citation | Vol. 13(1), article 5374 | en_GB |
dc.identifier.doi | https://doi.org/10.1038/s41467-022-32961-2 | |
dc.identifier.grantnumber | 2021YFD2200405 | en_GB |
dc.identifier.grantnumber | 32001166 | en_GB |
dc.identifier.grantnumber | 42130506 | en_GB |
dc.identifier.grantnumber | 42071031 | en_GB |
dc.identifier.grantnumber | 2019r059 | en_GB |
dc.identifier.grantnumber | 003080 | en_GB |
dc.identifier.grantnumber | 20KJB170013 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/131633 | |
dc.identifier | ORCID: 0000-0003-1821-8561 (Sitch, Stephen) | |
dc.identifier | ScopusID: 6603113016 (Sitch, Stephen) | |
dc.identifier | ResearcherID: F-8034-2015 (Sitch, Stephen) | |
dc.identifier | ORCID: 0000-0003-3309-4739 (Friedlingstein, Pierre) | |
dc.identifier | ScopusID: 6602135031 (Friedlingstein, Pierre) | |
dc.language.iso | en | en_GB |
dc.publisher | Nature Research | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/36100606 | en_GB |
dc.relation.url | https://doi.org/10.3334/ORNLDAAC/1225 | en_GB |
dc.rights | ©The Author(s) 2022. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/ licenses/by/4.0/. | en_GB |
dc.subject | Carbon Dioxide | en_GB |
dc.subject | Carbon Sequestration | en_GB |
dc.subject | China | en_GB |
dc.subject | Ecosystem | en_GB |
dc.subject | Forests | en_GB |
dc.title | Forest expansion dominates China's land carbon sink since 1980 | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2022-11-04T11:40:48Z | |
dc.identifier.issn | 2041-1723 | |
exeter.article-number | 5374 | |
exeter.place-of-publication | England | |
dc.description | This is the final version. Available on open access from Nature Research via the DOI in this record | en_GB |
dc.description | Data availability: The reconstructed LUCC data used in this study are provided along with this paper. The TRENDY datasets can be requested from S. Sitch (s.a.sitch@exeter.ac.uk) and P. Friedlingstein (p.friedlingstein@exeter.ac.uk). The MsTMIP data are available from the Oak Ridge National Laboratory Distributed Active Archive Center (https://doi.org/10.3334/ORNLDAAC/1225). | en_GB |
dc.description | Code availability: The code used in this study is available from the corresponding author on request. | en_GB |
dc.identifier.eissn | 2041-1723 | |
dc.identifier.journal | Nature Communications | en_GB |
dc.relation.ispartof | Nat Commun, 13(1) | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2022-08-25 | |
dc.rights.license | CC BY | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2022-09-13 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2022-11-04T11:36:54Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2022-11-04T11:40:52Z | |
refterms.panel | C | en_GB |
refterms.dateFirstOnline | 2022-09-13 |
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