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dc.contributor.authorYu, Z
dc.contributor.authorCiais, P
dc.contributor.authorPiao, S
dc.contributor.authorHoughton, RA
dc.contributor.authorLu, C
dc.contributor.authorTian, H
dc.contributor.authorAgathokleous, E
dc.contributor.authorKattel, GR
dc.contributor.authorSitch, S
dc.contributor.authorGoll, D
dc.contributor.authorYue, X
dc.contributor.authorWalker, A
dc.contributor.authorFriedlingstein, P
dc.contributor.authorJain, AK
dc.contributor.authorLiu, S
dc.contributor.authorZhou, G
dc.date.accessioned2022-11-04T11:40:48Z
dc.date.issued2022-09-13
dc.date.updated2022-11-04T10:54:47Z
dc.description.abstractCarbon 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.sponsorshipNational Key Research and Development Program of Chinaen_GB
dc.description.sponsorshipNational Science Foundation of Chinaen_GB
dc.description.sponsorshipStartup Foundation for Introducing Talent of NUISTen_GB
dc.description.sponsorshipNatural Science Foundation of Jiangsu Higher Education Institution of Chinaen_GB
dc.format.extent5374-
dc.format.mediumElectronic
dc.identifier.citationVol. 13(1), article 5374en_GB
dc.identifier.doihttps://doi.org/10.1038/s41467-022-32961-2
dc.identifier.grantnumber2021YFD2200405en_GB
dc.identifier.grantnumber32001166en_GB
dc.identifier.grantnumber42130506en_GB
dc.identifier.grantnumber42071031en_GB
dc.identifier.grantnumber2019r059en_GB
dc.identifier.grantnumber003080en_GB
dc.identifier.grantnumber20KJB170013en_GB
dc.identifier.urihttp://hdl.handle.net/10871/131633
dc.identifierORCID: 0000-0003-1821-8561 (Sitch, Stephen)
dc.identifierScopusID: 6603113016 (Sitch, Stephen)
dc.identifierResearcherID: F-8034-2015 (Sitch, Stephen)
dc.identifierORCID: 0000-0003-3309-4739 (Friedlingstein, Pierre)
dc.identifierScopusID: 6602135031 (Friedlingstein, Pierre)
dc.language.isoenen_GB
dc.publisherNature Researchen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/36100606en_GB
dc.relation.urlhttps://doi.org/10.3334/ORNLDAAC/1225en_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.subjectCarbon Dioxideen_GB
dc.subjectCarbon Sequestrationen_GB
dc.subjectChinaen_GB
dc.subjectEcosystemen_GB
dc.subjectForestsen_GB
dc.titleForest expansion dominates China's land carbon sink since 1980en_GB
dc.typeArticleen_GB
dc.date.available2022-11-04T11:40:48Z
dc.identifier.issn2041-1723
exeter.article-number5374
exeter.place-of-publicationEngland
dc.descriptionThis is the final version. Available on open access from Nature Research via the DOI in this recorden_GB
dc.descriptionData 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.descriptionCode availability: The code used in this study is available from the corresponding author on request.en_GB
dc.identifier.eissn2041-1723
dc.identifier.journalNature Communicationsen_GB
dc.relation.ispartofNat Commun, 13(1)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-08-25
dc.rights.licenseCC BY
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-09-13
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-11-04T11:36:54Z
refterms.versionFCDVoR
refterms.dateFOA2022-11-04T11:40:52Z
refterms.panelCen_GB
refterms.dateFirstOnline2022-09-13


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©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/.
Except where otherwise noted, this item's licence is described as ©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/.