Author: Gerard Rocher-Ros, Postdoc (Umea university)
Description:
Running waters evade large amounts of CO2 to the atmosphere, with a flux four times larger than the carbon (C) export to the oceans. Yet, the magnitude of global CO2 evasion from streams and rivers remains uncertain, partly due to the large temporal variability of CO2 concentrations in the water. Here, we present the first global compilation of high temporal resolution CO2 data from 52 sites, to show that CO2 evasion from streams displays a consistent pattern with, on average, night-time rates 0.53 g C m-2 d-1 (14%) larger than those during the day. This day-night difference likely emerges from CO2 fixation by photosynthesis during the day and consistent with this, we show that canopy cover of the stream (shading) is the main driver regulating variation in diel patterns among sites. Further, because current global estimates rely on discrete CO2 samples taken during daylight hours, these fail to account for time windows with higher fluxes. If the patterns revealed in this study are general, then we are currently underestimating global CO2 evasion from running waters, with night-time evasion rates that could account for an additional 1.21 (CI=0.38-2.0) Pg C yr-1 emitted to the atmosphere.
Category: Scientific Program Abstract > Special Session > SS27 Aquatic greenhouse gas dynamics in the face of global change
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Full list of Authors
- Gerard Rocher-Ros (Department of Ecology and Environmental Science, Umeå University, Umeå, Sweden)
- Ryan Sponseller (Department of Ecology and Environmental Science, Umeå University, Umeå, Sweden)
- Tom Battin (Stream Biofilm and Ecosystem Research Laboratory, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland)
- Matthew Cohen (School of Forest Resources and Conservation, University of Florida, USA)
- Kerry Dinsmore (Centre for Ecology and Hydrology, UK)
The obscured carbon dioxide emissions from streams: relevance of night-time CO2 evasion and major implications for global estimates
Category
Scientific Program Abstract > Special Session > SS27 Aquatic greenhouse gas dynamics in the face of global change