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- W4387399897 abstract "<strong class=journal-contentHeaderColor>Abstract.</strong> Greenhous gas (GHG) emissions from rivers are globally relevant, but quantification of these emissions comes with considerable uncertainty. Most of the existing studies were carried out at small streams and much less is known about GHG emissions from larger rivers. Here quantification of ecosystem scale emissions is challenged by both spatial and short-term temporal variability. We measured spatio-temporal variability of CO<sub>2</sub> and CH<sub>4</sub> emissions from a 1 km long reach of the German lowland river Elbe over three days in order to establish which factor is more relevant to be taken into consideration: small-scale spatial variability or short-term temporal variability of CO<sub>2</sub> and CH<sub>4</sub> emissions. GHG emissions from the river reach studied were dominated by CO<sub>2</sub> and 90 % of total emissions was from the water surface, while 10 % of emissions was from dry fallen sediment at the side of the river. Aquatic CO<sub>2</sub> emissions were similar at different habitats, while aquatic CH<sub>4</sub> emissions were higher at the side of the river. Artificial structures to imoprove navigability (groynes) created still water areas with elevated CH<sub>4</sub> emissions and lower CO<sub>2</sub> emissions. CO<sub>2</sub> emissions exhibited a clear diurnal pattern, but the exact shape and timing of this pattern differed between habitats. In contrast, CH<sub>4</sub> emissions did not change diurnally. Our data confirm our hypothesis that spatial variability is important for CH<sub>4</sub> while diurnal variability is more relevant for CO<sub>2</sub> emissions. Continuous measurements are most likely necessary for reliable quantification of river GHG emissions." @default.
- W4387399897 created "2023-10-07" @default.
- W4387399897 date "2023-10-06" @default.
- W4387399897 modified "2023-10-16" @default.
- W4387399897 title "Comment on bg-2023-176" @default.
- W4387399897 doi "https://doi.org/10.5194/bg-2023-176-rc1" @default.
- W4387399897 hasPublicationYear "2023" @default.
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