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2021
DOI: 10.1029/2021jg006246
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Diel Variability of CO2 Emissions From Northern Lakes

Abstract: This is of the same order of magnitude as the CO 2 emissions from land use change, or the carbon transport from continents to the ocean (Ciais et al., 2013), making CO 2 emissions from lakes important in the global carbon cycle. Lakes are concentrated in boreal regions, which contain roughly 30% of global lakes (Downing et al., 2006;Verpoorter et al., 2014), and together with the arctic region contribute 17% of global lake CO 2 emissions (Aufdenkampe et al., 2011). Potential climate change effects in boreal la… Show more

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Cited by 19 publications
(27 citation statements)
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“…For example, CH 4 can exhibit midday maxima in concentration (Kim et al., 2015; Xing et al., 2004), while CO 2 levels often peak at night (Raymond et al., 2013; Wiik et al., 2018), and N 2 O has been observed to increase (Rosamond et al., 2011; Wu et al., 2018), decrease (Molina et al., 2021), and exhibit no change overnight (Baulch et al., 2012). These patterns are further complicated by potential diel variability in wind speed overnight (MacIntyre et al., 2021; Rudberg et al., 2021). Here, we chose to calculate CO 2 ‐eq flux using observed daytime values and extrapolating over the full 24‐hr period, because an earlier investigation of these regional ponds did not reveal any evidence of consistent diel variability of GHG fluxes (Jensen et al., 2022).…”
Section: Discussionmentioning
confidence: 99%
“…For example, CH 4 can exhibit midday maxima in concentration (Kim et al., 2015; Xing et al., 2004), while CO 2 levels often peak at night (Raymond et al., 2013; Wiik et al., 2018), and N 2 O has been observed to increase (Rosamond et al., 2011; Wu et al., 2018), decrease (Molina et al., 2021), and exhibit no change overnight (Baulch et al., 2012). These patterns are further complicated by potential diel variability in wind speed overnight (MacIntyre et al., 2021; Rudberg et al., 2021). Here, we chose to calculate CO 2 ‐eq flux using observed daytime values and extrapolating over the full 24‐hr period, because an earlier investigation of these regional ponds did not reveal any evidence of consistent diel variability of GHG fluxes (Jensen et al., 2022).…”
Section: Discussionmentioning
confidence: 99%
“…As previous reported the GHG emissions from freshwater bodies may have strong variation over a day (Rudberg et al, 2021; Sieczko et al, 2020), thus a selected sampling site was employed for a 24‐h observations for GHG fluxes. Figure 4 shows a clear pattern that the variation of CH 4 emissions were consistent with temperature changes over 24‐h observations.…”
Section: Resultsmentioning
confidence: 99%
“…It is possible that wind suppresses the phytoplankton signal on lake pCO 2 , because CO 2 at the lake surface, where phytoplankton are photosynthesizing and, thus, consuming CO 2 , is mixed with CO 2 from waters from below. Wind exposure may also explain why lake pCO 2 does not increase in autumn after mixing starts in this lake, even though this is typically observed in eutrophic lakes when deep-water, CO 2 water mixes with surface oxygen-rich water [30].…”
Section: Discussionmentioning
confidence: 96%
“…During migration, it easy to underestimate G. semen densities by sampling too early or too late during the day. It is also known that the carbon ux has high diel and seasonal variability [30,34], with diel variations being especially pronounced during mixing events [30]. Thus, it is likely that the pCO 2 measurements at the surface of the lakes caused an under-or overestimation of pCO 2 for our sampling dates due to the time of sampling.…”
Section: Discussionmentioning
confidence: 98%