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Drivers of diffusive CH4 emissions from shallow subarctic lakes on daily to multi-year timescales
- Source :
- Biogeosciences. 17:1911-1932
- Publication Year :
- 2020
- Publisher :
- Copernicus GmbH, 2020.
-
Abstract
- Lakes and reservoirs contribute to regional carbon budgets via significant emissions of climate forcing trace gases. Here, for improved modelling, we use 8 years of floating chamber measurements from three small, shallow subarctic lakes (2010–2017, n=1306 ) to separate the contribution of physical and biogeochemical processes to the turbulence-driven, diffusion-limited flux of methane ( CH4 ) on daily to multi-year timescales. Correlative data include surface water concentration measurements (2009–2017, n=606 ), total water column storage (2010–2017, n=237 ), and in situ meteorological observations. We used the last to compute near-surface turbulence based on similarity scaling and then applied the surface renewal model to compute gas transfer velocities. Chamber fluxes averaged 6.9±0.3 mg CH4 m −2 d −1 and gas transfer velocities ( k600 ) averaged 4.0±0.1 cm h −1 . Chamber-derived gas transfer velocities tracked the power-law wind speed relation of the model. Coefficients for the model and dissipation rates depended on shear production of turbulence, atmospheric stability, and exposure to wind. Fluxes increased with wind speed until daily average values exceeded 6.5 m s −1 , at which point emissions were suppressed due to rapid water column degassing reducing the water–air concentration gradient. Arrhenius-type temperature functions of the CH4 flux ( E a ′ = 0.90 ± 0.14 eV) were robust ( R2≥0.93 , p ) and also applied to the surface CH4 concentration ( E a ′ = 0.88 ± 0.09 eV). These results imply that emissions were strongly coupled to production and supply to the water column. Spectral analysis indicated that on timescales shorter than a month, emissions were driven by wind shear whereas on longer timescales variations in water temperature governed the flux. Long-term monitoring efforts are essential to identify distinct functional relations that govern flux variability on timescales of weather and climate change.
- Subjects :
- 0106 biological sciences
010504 meteorology & atmospheric sciences
010604 marine biology & hydrobiology
Radiative forcing
Atmospheric sciences
01 natural sciences
Wind speed
Trace gas
Flux (metallurgy)
Water column
13. Climate action
Wind shear
Atmospheric instability
Environmental science
Surface water
Ecology, Evolution, Behavior and Systematics
0105 earth and related environmental sciences
Earth-Surface Processes
Subjects
Details
- ISSN :
- 17264189
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- Biogeosciences
- Accession number :
- edsair.doi...........db5366c87280dfd98481a0b1017887d4
- Full Text :
- https://doi.org/10.5194/bg-17-1911-2020