Stream-Lake Connectivity Is an Important Control of Fluvial CO2 Concentrations and Emissions in Catchments
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Streams in cultivated lowlands are commonly supersaturated with CO2 and are a source of CO2 to the atmosphere. Great uncertainties exist regarding the spatiotemporal variations of CO2 concentrations and emission rates in stream-lake fluvial networks and small streams with variable plant cover. We studied this variability and the underlying mechanisms in 40 small, high-alkalinity Danish streams, including 5 catchments with lakes. Generally CO2 concentrations were, on average, 9.2 times those of the atmosphere, declining downstream with rising water temperature, chlorophyll a concentration, and decreasing groundwater inputs. We furthermore observed that the concentrations of CO2 in stream waters declined at the outlet of lakes to values close to or below air saturation due to phytoplankton uptake and atmospheric loss during the long water retention time in the lakes. Downstream, CO2 concentrations were observed to decrease in summer and in the afternoons, which indicate plant uptake of CO2. Sites with deeper water and few plants and low gas transfer velocity retained high CO2 concentrations. Among 38 fluvial networks where emission could be calculated, it varied 10-fold (0.41–4.06 g C m−2 d−1), but the overall mean was constrained to a narrow confidence interval (1.75–2.50 g C m−2 d−1). Our results highlight that a complex of physical, chemical and biological processes cause highly variable carbon dynamics and CO2 emissions in fluvial networks at local and catchment scales making upscaling challenging.
Original language | English |
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Article number | e2022EA002664 |
Journal | Earth and Space Science |
Volume | 9 |
Issue number | 12 |
Number of pages | 12 |
ISSN | 2333-5084 |
DOIs | |
Publication status | Published - 2022 |
Bibliographical note
Publisher Copyright:
© 2022 The Authors. Earth and Space Science published by Wiley Periodicals LLC on behalf of American Geophysical Union.
- carbon dioxide supersaturation, catchment, groundwater, stream networks, stream photosynthesis, stream-lake connectivity
Research areas
ID: 333002346