中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Global riverine land-to-ocean carbon export constrained by observations and multi-model assessment

文献类型:期刊论文

作者Liu, Maodian19,20,21; Raymond, Peter A.20; Lauerwald, Ronny18; Zhang, Qianru17,21; Trapp-Mueller, Gerrit16; Davis, Kay L.14,15; Moosdorf, Nils13,14; Xiao, Changhao21; Middelburg, Jack J.16; Bouwman, Alexander F.16
刊名NATURE GEOSCIENCE
出版日期2024-09-05
卷号N/A页码:24
ISSN号1752-0894
DOI10.1038/s41561-024-01524-z
产权排序16
英文摘要Rivers are a key component of the global carbon cycle. They receive vast quantities of terrestrial carbon, of which a large fraction is ultimately exported to the coastal ocean. Our review of previously published assessments reveals that substantial uncertainties remain with regard to the spatial distribution and speciation of the carbon export. Accurate quantification of the relative contributions of dissolved, particulate, organic and inorganic carbon to the total amounts is, however, of crucial importance for the coupling between the terrestrial and marine carbon cycles. Breaking down existing spatially explicit assessments over large river basins, we find a disagreement in flux estimates that exceeds two orders of magnitude for more than half of the basins. Using machine-learning techniques in combination with a multi-model ensemble and an updated database of observations, we overcome the inconsistencies in existing assessments and narrow down uncertainties in riverine carbon exports. Our revised assessment yields a global riverine export of 1.02 +/- 0.22 (2 sigma) PgC yr-1. This carbon flux is partitioned into 0.52 +/- 0.17, 0.30 +/- 0.14, 0.18 +/- 0.04 and 0.03 +/- 0.02 PgC yr-1 of dissolved inorganic, dissolved organic, particulate organic and particulate inorganic carbon, respectively. We estimate the carbon contribution through groundwater export to be minor (0.016 PgC yr-1). Our assessment suggests an underestimation of the land-to-ocean carbon flux by 0.24 PgC yr-1 by the Intergovernmental Panel on Climate Change (IPCC) and calls for a revision of the oceanic carbon budget. Global riverine carbon export to the ocean may exceed previous estimates, underscoring the important role of riverine carbon to the carbon budget, according to a multi-model ensemble assessment constrained by a global dataset.
WOS关键词ORGANIC-CARBON ; TERRESTRIAL BIOSPHERE ; COASTAL WATERS ; TRANSPORT ; SEDIMENT ; DYNAMICS ; DATABASE ; DATASET ; SYSTEM ; FLUXES
资助项目Fundamental Research Funds for the Central Universities (7100604309) ; BELSPO through the project ReCAP[01003687] ; European Union ; European Space Agency (ESA)[42476127] ; European Space Agency (ESA)[41821005] ; European Space Agency (ESA)[41977311] ; National Natural Science Foundation of China[7100604309] ; Fundamental Research Funds for the Central Universities[8244068] ; Beijing Natural Science Foundation[2022M720005] ; China Postdoctoral Science Foundation ; High-Performance Computing Platform of Peking University[1903722] ; National Science Foundation[DE-SC0024709] ; DOE grant[ANR-16-CONV-0003] ; DOE grant[ANR-22-PEXF-0009] ; ANR ; Netherlands Earth System Science Centre (NESSC) ; Ministry of Education, Culture and Science (OCW)[U22A20570] ; Joint Fund for Regional Innovation and Development of the National Natural Science Foundation[2022RC4027] ; Science and Technology Innovation Program of Hunan Province[PZ00P2_216442] ; Swiss National Science Foundation[TENX12899] ; USDA CBG ; US Department of the Treasury in cooperation[DISL-MESC-ALCOE-06] ; State of Alabama Department of Conservation and Natural Resources ; U.S. Department of Energy (DOE)[DE-SC0024709]
WOS研究方向Geology
语种英语
WOS记录号WOS:001306223100001
出版者NATURE PORTFOLIO
资助机构Fundamental Research Funds for the Central Universities (7100604309) ; BELSPO through the project ReCAP ; European Union ; European Space Agency (ESA) ; National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities ; Beijing Natural Science Foundation ; China Postdoctoral Science Foundation ; High-Performance Computing Platform of Peking University ; National Science Foundation ; DOE grant ; ANR ; Netherlands Earth System Science Centre (NESSC) ; Ministry of Education, Culture and Science (OCW) ; Joint Fund for Regional Innovation and Development of the National Natural Science Foundation ; Science and Technology Innovation Program of Hunan Province ; Swiss National Science Foundation ; USDA CBG ; US Department of the Treasury in cooperation ; State of Alabama Department of Conservation and Natural Resources ; U.S. Department of Energy (DOE)
源URL[http://ir.igsnrr.ac.cn/handle/311030/208477]  
专题生态系统网络观测与模拟院重点实验室_外文论文
通讯作者Liu, Maodian
作者单位1.Univ Bern, Inst Geog, Bern, Switzerland
2.Hunan Normal Univ, Sch Geog Sci, Changsha, Hunan, Peoples R China
3.Univ Libre Bruxelles, Dept Geosci Environm & Soc, Biogeochem & Modeling Earth Syst BGEOSYS, Brussels, Belgium
4.East China Normal Univ, Sch Geog Sci, Shanghai, Peoples R China
5.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, Beijing, Peoples R China
6.Univ Alabama, Dept Geog & Environm, Tuscaloosa, AL USA
7.Hohai Univ, Coll Geog & Remote Sensing, Nanjing, Peoples R China
8.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China
9.Boston Coll, Schiller Inst Integrated Sci, Ctr Earth Syst Sci & Global Sustainabil, Dept Earth & Environm Sci, Chestnut Hill, MA USA
10.Univ Bern, Oeschger Ctr Climate Change Res, Bern, Switzerland
推荐引用方式
GB/T 7714
Liu, Maodian,Raymond, Peter A.,Lauerwald, Ronny,et al. Global riverine land-to-ocean carbon export constrained by observations and multi-model assessment[J]. NATURE GEOSCIENCE,2024,N/A:24.
APA Liu, Maodian.,Raymond, Peter A..,Lauerwald, Ronny.,Zhang, Qianru.,Trapp-Mueller, Gerrit.,...&Regnier, Pierre.(2024).Global riverine land-to-ocean carbon export constrained by observations and multi-model assessment.NATURE GEOSCIENCE,N/A,24.
MLA Liu, Maodian,et al."Global riverine land-to-ocean carbon export constrained by observations and multi-model assessment".NATURE GEOSCIENCE N/A(2024):24.

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来源:地理科学与资源研究所

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