2023
DOI: 10.1088/1748-9326/acb834
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Diel, seasonal, and inter-annual variation in carbon dioxide effluxes from lakes and reservoirs

Abstract: Accounting for temporal changes in carbon dioxide (CO2) effluxes from freshwaters remains a challenge for global and regional carbon budgets. Here, we synthesize 171 site-months of flux measurements of CO2 based on the eddy covariance method from 13 lakes and reservoirs in the Northern Hemisphere, and quantify dynamics at multiple temporal scales. We found pronounced sub-annual variability in CO2 flux at all sites. By accounting for diel variation, only 11% of site-months were net daily sinks of CO2. Annual CO… Show more

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Cited by 18 publications
(37 citation statements)
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“…Overall, EC measurements captured 23% and 19% of total CO 2 and CH 4 fluxes, respectively, over 2 years from FCR (Table S1 in Supporting Information S1), which is similar to previously reported deployments of EC systems at lakes and reservoirs (e.g., Golub et al, 2023;Reed et al, 2018;Waldo et al, 2021). The percentage of available data was relatively consistent across half-hourly periods (from 00:00 to 23:30), ranging from 14% to 34% of data availability for CO 2 for 22:00 and 12:30 half-hourly periods, respectively, and 11%-32% for CH 4 (22:00 and 12:30 half-hourly periods, respectively; Figure S3 in Supporting Information S1).…”
Section: Eddy Covariance Flux Measurementssupporting
confidence: 86%
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“…Overall, EC measurements captured 23% and 19% of total CO 2 and CH 4 fluxes, respectively, over 2 years from FCR (Table S1 in Supporting Information S1), which is similar to previously reported deployments of EC systems at lakes and reservoirs (e.g., Golub et al, 2023;Reed et al, 2018;Waldo et al, 2021). The percentage of available data was relatively consistent across half-hourly periods (from 00:00 to 23:30), ranging from 14% to 34% of data availability for CO 2 for 22:00 and 12:30 half-hourly periods, respectively, and 11%-32% for CH 4 (22:00 and 12:30 half-hourly periods, respectively; Figure S3 in Supporting Information S1).…”
Section: Eddy Covariance Flux Measurementssupporting
confidence: 86%
“…When scaling fluxes to the full year, FCR was a much smaller annual CH 4 source (1.02-1.29 g m −2 yr −1 ), yet a larger CO 2 source (633-731 g m −2 yr −1 ; Figure 5, Figure S12 in Supporting Information S1), than other reservoirs reported in the literature to date (A. K. Baldocchi et al, 2020;Deemer et al, 2016;Golub et al, 2023). While the total magnitude of CO 2 emissions from FCR was greater than most studies, Golub et al (2023) similarly found that data from 12 lakes and reservoirs over multiple years emitted substantial amounts of CO 2 in their synthesis of EC measured CO 2 fluxes in freshwaters (13.6-224 g C m −2 yr −1 ), except for one reservoir during one year which had a CO 2 flux of −53.6 g C m −2 yr −1 . As compared to other reservoirs with GHG flux data, FCR is old (>100 years old) which may lead to lower GHG emissions, particularly for CH 4 fluxes, likely as a result of reduced supply of organic matter substrate in the sediments as the reservoir ages (Barros et al, 2011;McClure et al, 2020;Prairie et al, 2018).…”
Section: Much Higher Annual Co 2 Emissions From Fcr Than Other Studie...mentioning
confidence: 88%
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“…Wavelet analysis is especially useful for model evaluation since, compared to Fourier transform, it can identify not only the time scales that influence a signal but also inform when those time scales are significant. Previous studies have identified disagreement between models and observations for carbon dioxide (CO 2 ) fluxes across different ecosystems (Golub et al., 2023; Li et al., 2023; Richardson et al., 2012; Schwalm et al., 2010; Stoy et al., 2013) using wavelet analysis, and have found that (a) model errors in CO 2 flux peak at the diurnal scale and (b) the model error patterns are associated with model structure and environmental drivers. However, so far there is no assessment for FCH 4 .…”
Section: Introductionmentioning
confidence: 99%