Methane production from pre-alpine lakes: Estimating the contribution of oxic waters

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DelSontro
Tonya DelSontro
Department of Earth and Environmental Sciences

Introduction

Atmospheric concentrations of methane have more than doubled during the industrial era. The global warming potential of methane is about 80 times higher than carbon dioxide, thus making reducing emissions a priority for mitigating climate change. Lakes represent about 25 percent of natural methane sources, but large uncertainties remain about the contribution of internal sources and sinks.

Contrasting the paradigm that methane is only produced in anoxic conditions, recent discoveries show that oxic methane production (OMP) occurs in surface waters worldwide. OMP drivers and their contribution to global lake methane emissions remain unclear. While studies show the occurrence of OMP in lakes across geographic and trophic gradients, OMP has not been investigated in pre-alpine lakes which are disproportionately experiencing climate change. The study calculates comprehensive methane budgets for four adjacent Swiss pre-alpine lakes under identical climate forcing but with different trophic states.

Methodology

Net methane production rates (Pnet) were estimated for four pre-alpine lakes in the Swiss Alps: Lac de Bretaye, Lac Noir, Lac des Chavonnes and Lac Lioson, which are eutrophic, meso/eutrophic, mesotrophic and oligotrophic respectively. Pnet was defined as the balance between OMP (which adds methane) and ³¾±ð³Ù³ó²¹²Ô±ðÌý´Ç³æ¾±»å²¹³Ù¾±´Ç²Ô (which removes methane) in the surface mixed layer, the component that contributes to diffusive emissions. PnetÌýin the surface mixed layer was estimated using two independent mass balance approaches: a 1-D lateral transport model (Figure 1a) and a 0-D full-scale mass balance (Figure 1b). The full-scale mass balance assumed the surface mixed layer as a well-mixed reactor where each component was based on measured values. The lateral transport model also used in situ measurements but estimated the diffusive flux to the atmosphere using the mass transfer coefficient with PnetÌýrates obtained by finding the simulated transect methane concentrations that best-fit the measured concentrations.

Figure 1 - methane budget components

Figure 1: Conceptual schematic of the methaneÌýbudget components in the surface mixed layer and methodological approaches. Methane mass balance components: diffusive methaneÌýemissions to the atmosphere (Fa), vertical transport (Fz), bubble dissolution (Rdis), littoral sediment flux (Fs).

Outcomes

In three study lakes, PnetÌývalues were positive, indicating that OMP was greater than ³¾±ð³Ù³ó²¹²Ô±ðÌý´Ç³æ¾±»å²¹³Ù¾±´Ç²Ô, and thatÌýPnetÌýacted as a methane source during daytime conditions over the stratified season.ÌýPnetÌýwas near zero in Lac Chavonnes, a meso-oligotrophic lake which also had the largest water level changes throughout the summer (Figure 2).

Figure 2

Figure 2:ÌýMethane production (Pnet) rate estimations in the surface mixed layer of (a)Ìýeutrophic andÌý(b)Ìýoligotrophic lakes using two approaches (full-scale mass balance, filled boxes; lateral transport model, open boxes). Boxes show the first and third quartiles with the median (line), whiskers extend to most extreme data point within 1.5 times the interquartile range from the box. The white dot represents the average of theÌýPnetÌýdistribution. Note different scales onÌýy-axes of the two panels.

PnetÌýrates were temporally variable in each lake and varied between study sites. WhileÌýPnetÌýwas relatively constant during the stratified season in the oligotrophic lakes, highly positiveÌýPnetÌýrates in the eutrophic lakes at the beginning of the summer indicated that OMP was an active source of methaneÌýto the atmosphere. The eutrophic lakes hadÌýPnetÌýrates one order magnitude higher than the more oligotrophic lakes, suggesting thatÌýPnetÌýmay also be related to trophic state. The dominant sources of methaneÌýto lake surface waters wereÌýPnetÌýandÌýlittoral sediment flux, but results suggested no relationship between the contribution of these sources and trophic state even though each were higher in more productive systems.

Considering the importance of PnetÌýcontributions to atmospheric methaneÌýemissions, defining approaches to estimate and upscaleÌýPnet are critical. While it is plausible thatÌýthe OMP proportion to diffusive emissions may partially depend on lake bathymetry, study results indicate that OMP is a complex phenomenon that is also related to lake trophic properties. The study observed that Pnet for an individual lakeÌýcan be explained mostly by changes in light climate (LC) which defines the average light intensity that phytoplankton can be exposed to in the surface mixed layer during the day. The study found that increases in LC strongly increaseÌýPnetÌýrates in eutrophic lakes, whereas PnetÌýis nearly independent of LC in oligotrophic lakes (Figure 3a). A more robust empirical approach using additional trophic state parameters -chlorophyll a concentration and Secchi depth - was proposed to upscaleÌýPnetÌýin a variety of lake ecosystems (Figure 3b), once again highlighting the interaction between trophic state and methane in aquatic systems.

Figure 3b

Figure 3: Linking net methaneÌýproduction (Pnet) in the surface mixed layer with trophic variables.
aÌýRelationship betweenÌýPnetÌýand light climate (LC, m m−1) and trophic state. The minimumÌýPnetÌýrate (Pnet,min) and the minimum LC (LCmin) were subtracted in each lake to be able to compare the slope of each curve.ÌýPnetÌýbecomes more independent of LC in more oligotrophic lakes. bÌýInteraction betweenÌýPnetÌýand theÌýaverage surface concentration of chlorophyll-a, LC andÌýSecchi depth (Zs, m) suggest a direct role of photosynthesis on OMP.

Conclusions

The study quantified PnetÌýrates in the oxic surface mixed layer of four pre-alpine lakes using two models that have previously produced contradictory results when resolving OMP in lowland lakes. Results indicated that three of four lakes had a positiveÌýPnetÌýresponsible for up to 85 percent of atmospheric methaneÌýemissions occurring at the beginning of summer. Good agreement between mass balance approaches showed that there are no methodological issues with the models when appropriate boundary conditions are used.

While OMP mechanisms need further investigation, the study showed that light and photoautotrophs may play a significant role. Consequently, future changes in light availability and temperature may induce positive feedbacks by promoting algal species capable of producing methane. Although the contribution of OMP to total diffusive emissions from inland waters is not wellÌýconstrained, the study showed that it can be a dominant source from pre-alpine lakes where climatic changes are occurring at higher rates than the global average. It is therefore important to continue quantifying the contribution ofÌýPnetÌýfrom various aquatic systems and identify the main drivers of OMP to better understand the impact of OMP on the global methaneÌýcycle and how to predict and mitigate its impact in a changing climate.

Ordóñez, C., DelSontro, T., Langenegger, T., Donis, D., Suarez, E. L., McGinnis, D.F.ÌýEvaluation of the methane paradox in four adjacent pre-alpine lakes across a trophic gradient.ÌýNature Communications 14, 2165 (2023).


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