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  • 2020-2024  (1)
  • 2020-2023  (1)
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  • 1
    Publication Date: 2023-12-07
    Description: Despite growing research on greenhouse gas (GHG) emissions from inland waters, few systematic efforts have been made to assess the regional-scale GHG emissions from Asian rivers under increasing anthropogenic stress. We examined factors controlling longitudinal and seasonal variations in the partial pressure of CO₂ (pCO₂), and CH₄ and N₂O concentrations in the Ganges, Mekong, and Yellow River (Huang He) by simultaneously measuring gas concentrations and stable C isotopes, and optical properties of dissolved organic matter (DOM) from 2016 to 2019. The levels of pCO₂ and CH₄ were distinctively higher in polluted tributaries and affected reaches of the Ganges and Mekong than in the Yellow River. The highest levels of N₂O were found in the Ganges, followed by Yellow River and Mekong. Across these basins, dry-season mean concentrations of CO₂, CH₄, and N₂O were 1.6, 2, and 7 times higher than those measured in the monsoon season, respectively. This seasonality was consistent with that of δ¹³C-CO₂, while δ¹³C-CH₄ showed an opposite pattern. The overall results suggest that neglecting localized pollution impacts on GHG emissions from increasingly urbanized river basins can result in inaccurate estimates of global riverine GHG emissions.
    Keywords: according to Huguet et al. (2009); according to Zsolnay et al. (1999); Air-water gas flux, river, Lauerwald et al. (2015); Biological index; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon dioxide, flux, in mass carbon; Carbon dioxide (water) partial pressure; Conductivity, electrolytic; Date/Time of event; Distance; Event label; Fluorescence, dissolved organic matter; Fluorescence index; Fluorescence index, McKnight et al. (2001); Ganges_G1; Ganges_G10; Ganges_G11; Ganges_G11_1; Ganges_G11_2; Ganges_G12; Ganges_G13; Ganges_G13_1; Ganges_G14; Ganges_G14_1; Ganges_G2; Ganges_G2_1; Ganges_G3; Ganges_G3_1; Ganges_G4; Ganges_G5; Ganges_G6; Ganges_G7; Ganges_G7_1; Ganges_G8; Ganges_G9; Ganges_H1; Ganges_H1_1; Ganges_H2; Ganges_H3; Ganges_J1; Ganges_J2; Ganges_J3; Ganges_J3_1; Ganges_J3_2; Ganges_J4; Ganges_T1; Ganges_T1_1; Ganges_T2; Ganges_T2_1; Ganges_T3; Ganges_T3_1; Ganges_T4; Ganges_T4_1; Ganges_T4_2; Ganges_T5; Ganges_T6; Ganges_W1; Ganges_W2; Ganges_W3; Ganges_W4; Ganges_W4_1; Ganges_W5; Ganges_W6; Ganges_W6_1; Ganges_W7; Ganges_W7_1; Ganges_W8; Greenhouse gases; HAND; Humification index; Ion chromatography; Latitude of event; Longitude of event; Mekong_M1; Mekong_M10; Mekong_M10_1; Mekong_M11; Mekong_M11_1; Mekong_M2; Mekong_M2_1; Mekong_M3; Mekong_M3_1; Mekong_M4; Mekong_M5; Mekong_M5_1; Mekong_M6; Mekong_M6_1; Mekong_M7; Mekong_M7_1; Mekong_M8; Mekong_M8_1; Mekong_M9; Mekong_M9_1; Mekong_T1; Mekong_T2; Mekong_T2_1; Mekong_T3; Mekong_T3_1; Mekong_T4; Mekong_T4_1; Mekong_T5; Mekong_T5_1; Mekong_T6; Mekong_T6_1; Mekong_T7; Mekong_T7_1; Mekong_W1; Mekong_W1_1; Mekong_W2; Mekong_W2_1; Mekong_W3; Mekong_W4; Mekong_W5; Mekong_W5_1; Mekong_W6; Mekong_W6_1; Mekong_W7; Mekong_W7_1; Methane; Methane, flux, in mass carbon; Nitrogen, inorganic, dissolved; Nitrogen, organic, particulate; Nitrogen in ammonium; Nitrogen in nitrate; Nitrous oxide, dissolved; Nitrous oxide, flux, in mass nitrogen; organic matter; Oxygen, dissolved; Parallel factor analysis (PARAFAC); pH; Phosphorus in orthophosphate; River; Sample comment; Sample ID; Sampling by hand; Season; Specific ultraviolet absorbance normalized to DOC, 254 nm, per mass carbon; Specific UV absorbance 254nm, DOC normalised, Weishaar et al. (2003); Suspended matter, total; Temperature, water; water pollution; Yellow_T1; Yellow_T1_1; Yellow_T2; Yellow_T2_1; Yellow_Y1; Yellow_Y2; Yellow_Y3; Yellow_Y4; Yellow_Y4_1; Yellow_Y5; Yellow_Y6; Yellow_Y7; Yellow_Y8; δ13C; δ13C, carbon dioxide, dissolved; δ13C, methane, dissolved
    Type: Dataset
    Format: text/tab-separated-values, 3479 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2022-05-25
    Description: © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Ward, N. D., Megonigal, J. P., Bond-Lamberty, B., Bailey, V. L., Butman, D., Canuel, E. A., Diefenderfer, H., Ganju, N. K., Goni, M. A., Graham, E. B., Hopkinson, C. S., Khangaonkar, T., Langley, J. A., McDowell, N. G., Myers-Pigg, A. N., Neumann, R. B., Osburn, C. L., Price, R. M., Rowland, J., Sengupta, A., Simard, M., Thornton, P. E., Tzortziou, M., Vargas, R., Weisenhorn, P. B., & Windham-Myers, L. Representing the function and sensitivity of coastal interfaces in earth system models. Nature Communications, 11(1), (2020): 2458, doi:10.1038/s41467-020-16236-2.
    Description: Between the land and ocean, diverse coastal ecosystems transform, store, and transport material. Across these interfaces, the dynamic exchange of energy and matter is driven by hydrological and hydrodynamic processes such as river and groundwater discharge, tides, waves, and storms. These dynamics regulate ecosystem functions and Earth’s climate, yet global models lack representation of coastal processes and related feedbacks, impeding their predictions of coastal and global responses to change. Here, we assess existing coastal monitoring networks and regional models, existing challenges in these efforts, and recommend a path towards development of global models that more robustly reflect the coastal interface.
    Description: Funding for this work was provided by Pacific Northwest National Laboratory (PNNL) Laboratory Directed Research & Development (LDRD) as part of the Predicting Ecosystem Resilience through Multiscale Integrative Science (PREMIS) Initiative. PNNL is operated by Battelle for the U.S. Department of Energy under Contract DE-AC05-76RL01830. Additional support to J.P.M. was provided by the NSF-LTREB program (DEB-0950080, DEB-1457100, DEB-1557009), DOE-TES Program (DE-SC0008339), and the Smithsonian Institution. This manuscript was motivated by discussions held by co-authors during a three-day workshop at PNNL in Richland, WA: The System for Terrestrial Aquatic Research (STAR) Workshop: Terrestrial-Aquatic Research in Coastal Systems. The authors thank PNNL artist Nathan Johnson for preparing the figures in this manuscript and Terry Clark, Dr. Charlette Geffen, and Dr. Nancy Hess for their aid in organizing the STAR workshop. The authors thank all workshop participants not listed as authors for their valuable insight: Lihini Aluwihare (contributed to biogeochemistry discussions and development of concept for Fig. 3), Gautam Bisht (contributed to modeling discussion), Emmett Duffy (contributed to observational network discussions), Yilin Fang (contributed to modeling discussion), Jeremy Jones (contributed to biogeochemistry discussions), Roser Matamala (contributed to biogeochemistry discussions), James Morris (contributed to biogeochemistry discussions), Robert Twilley (contributed to biogeochemistry discussions), and Jesse Vance (contributed to observational network discussions). A full report on the workshop discussions can be found at https://www.pnnl.gov/publications/star-workshop-terrestrial-aquatic-research-coastal-systems.
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Location Call Number Limitation Availability
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