Deciphering large-scale spatial pattern and modulators of dissolved greenhouse gases (CO2, CH4, and N2O) along the Yangtze River, China
文献类型:期刊论文
作者 | Leng, Peifang2; Li, Zhao; Zhang, Qiuying1; Koschorreck, Matthias2; Li, Fadong5; Qiao, Yunfeng5; Xia, Jun4 |
刊名 | JOURNAL OF HYDROLOGY |
出版日期 | 2023-08-01 |
卷号 | 623页码:129710 |
ISSN号 | 0022-1694 |
关键词 | Greenhouse gases Yangtze River Dissolved concentrations Spatial pattern Wetland Oxygen |
DOI | 10.1016/j.jhydrol.2023.129710 |
产权排序 | 1 |
文献子类 | Article |
英文摘要 | The Yangtze River, the third largest river around the globe, has been heavily engineered with a series of hydroelectric dams. Meanwhile, it receives elevated organic matter and nutrient loads from its densely populated catchment, subsequently altering dissolved greenhouse gas (GHG) concentrations along the river. However, the large-scale longitudinal patterns and drivers of GHG concentrations in the Yangtze River remain poorly understood. Using longitudinal sampling design in a 2400 km section, we report dissolved carbon dioxide, methane, and nitrous oxide concentrations along the Yangtze River at 145 sites. We observe significant spatial clustering with higher carbon dioxide and nitrous oxide concentrations in the middle reach of the Yangtze River. The results of nonlinear regression reveal that riverine GHGs are high when wetland coverage is high and dissolved oxygen is low. Wetlands and oxygen, not the Three Gorges Dam and tributaries, are the primary correlates of spatial variations of CO2 and CH4 concentrations, respectively. N2O is surprisingly well predicted by CO2, implying their common drivers or sources. We strongly recommend that wetland contribution to GHG budgets and its sensitivity to environmental change be considered when estimating riverine GHGs in the Yangtze River. In light of our study, future control of GHG emissions from large rivers may largely depend on how external inputs and internal metabolism are regulated by decreasing nutrient loading. |
WOS关键词 | NITROUS-OXIDE EMISSION ; 3 GORGES RESERVOIR ; CARBON-DIOXIDE ; LAND-USE ; METHANE ; STREAMS ; NETWORK ; FLUXES ; PCO(2) ; DENITRIFICATION |
WOS研究方向 | Engineering ; Geology ; Water Resources |
出版者 | ELSEVIER |
WOS记录号 | WOS:001027939500001 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/194380] |
专题 | 禹城站农业生态系统研究中心_外文论文 |
作者单位 | 1.UFZ Helmholtz Ctr Environm Res, Dept Lake Res, D-39114 Magdeburg, Germany 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 3.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn Sc, Wuhan 430072, Peoples R China 4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China 5.Chinese Res Inst Environm Sci, Beijing 100012, Peoples R China |
推荐引用方式 GB/T 7714 | Leng, Peifang,Li, Zhao,Zhang, Qiuying,et al. Deciphering large-scale spatial pattern and modulators of dissolved greenhouse gases (CO2, CH4, and N2O) along the Yangtze River, China[J]. JOURNAL OF HYDROLOGY,2023,623:129710. |
APA | Leng, Peifang.,Li, Zhao.,Zhang, Qiuying.,Koschorreck, Matthias.,Li, Fadong.,...&Xia, Jun.(2023).Deciphering large-scale spatial pattern and modulators of dissolved greenhouse gases (CO2, CH4, and N2O) along the Yangtze River, China.JOURNAL OF HYDROLOGY,623,129710. |
MLA | Leng, Peifang,et al."Deciphering large-scale spatial pattern and modulators of dissolved greenhouse gases (CO2, CH4, and N2O) along the Yangtze River, China".JOURNAL OF HYDROLOGY 623(2023):129710. |
入库方式: OAI收割
来源:地理科学与资源研究所
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