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Volume 61, Issue S1 p. S356-S366
Article
Free Access

Quantifying emissions of methane derived from anaerobic organic matter respiration and natural gas extraction in Lake Erie

Amy Townsend-Small

Corresponding Author

Amy Townsend-Small

Department of Geology, University of Cincinnati, Cincinnati, Ohio, USA

Correspondence: [email protected]Search for more papers by this author
Doug Disbennett

Doug Disbennett

Department of Geology, University of Cincinnati, Cincinnati, Ohio, USA

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Julianne M. Fernandez

Julianne M. Fernandez

Department of Geology, University of Cincinnati, Cincinnati, Ohio, USA

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Rebecca W. Ransohoff

Rebecca W. Ransohoff

Department of Geology, University of Cincinnati, Cincinnati, Ohio, USA

Department of Chemistry, University of Cincinnati, Cincinnati, Ohio, USA

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Ross Mackay

Ross Mackay

Environment and Climate Change Canada, Canada Centre for Inland Waters, Burlington, Ontario, Canada

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Rick A. Bourbonniere

Rick A. Bourbonniere

Environment and Climate Change Canada, Canada Centre for Inland Waters, Burlington, Ontario, Canada

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First published: 01 March 2016
Citations: 25

Special Issue: Methane Emissions from Oceans, Wetlands, and Freshwater Habitats: New Perspectives and Feedbacks on Climate

Edited by: Kimberly Wickland and Leila Hamdan

Abstract

Despite a growing awareness of the importance of inland waters in regional and global carbon (C) cycles, particularly as sources of the greenhouse gases carbon dioxide (CO2) and methane (CH4), very little is known about C sources and fluxes in the Laurentian Great Lakes, Earth's largest surface freshwater system. Here, we present a study of CH4 dynamics in Lake Erie, which has large spring algae blooms linked to fertilizer runoff and followed by hypoxia, as well as an extensive network of natural gas wells and pipelines in Canadian waters. Lake Erie is a positive source of CH4 to the atmosphere in late summer, even in shallow regions without water column hypoxia. Stable isotopic measurements indicate that both biogenic and thermogenic CH4 contribute to emissions from Lake Erie. We estimate that Lake Erie emits 1.3 ± 0.6 × 105 kg CH4-C d−1 in late summer, with approximately 30% of CH4 derived from natural gas infrastructure. Additional work is needed to determine the spatial and temporal dynamics of CH4 emissions from Lake Erie and to confirm estimates of source contribution. Studies of the C cycle in large lakes are not as straightforward as those in smaller lakes, as, in addition to O2 availability, subsurface currents and high winds may exert significant control over dissolved CH4 patterns. If climate warming and increasing precipitation intensity lead to increased algal biomass and/or greater extent and duration of hypoxia, this may increase emissions of CH4 from Lake Erie in a positive feedback to climate change.

Recent work has led to a growing recognition of the role of inland waters in the global carbon cycle, particularly as hotspots for production of carbon dioxide (CO2) and/or methane (CH4) (Cole et al. 2007; Tranvik et al. 2009; Bastviken et al. 2011). Of particular concern is CH4 production in aquatic ecosystems, as CH4 is a greenhouse gas about 34 times more powerful than CO2 on a 100-yr time scale (Myhre et al. 2013). Thawing of permafrost in Arctic and boreal regions is implicated in an increase in CH4 emissions from lakes (Walter et al. 2006; Wik et al. 2013). Impoundment of rivers into flood control, hydropower, or drinking water reservoirs can increase the proportion of C that is released as CH4 vs. CO2 due to decreased O2 availability in lakes vs. streams (St. Louis et al. 2000; Bastviken et al. 2004, 2008; Barros et al. 2011). Recent work indicates that CH4 emissions may be enhanced in eutrophic reservoirs such as those found in mid-latitude agricultural regions of the United States, likely due to increased autochthonous production fed by fertilizer runoff followed by stratification and hypolimnetic hypoxia (Jacinthe et al. 2012; Beaulieu et al. 2014). Nearly all of the previous studies of CH4 dynamics in lakes have been in small lakes and reservoirs, although Lakes Tanganyika and Kivu in the African Rift Valley have high CH4 production in anoxic waters and sediments at depth but are not a significant source of atmospheric CH4 (Durich-Kaiser et al. 2011; Zigah et al. 2015). However, large lakes that are shallow, eutrophic, and seasonally stratified may be a positive source of atmospheric CH4, including Lake Erie, one of the Laurentian Great Lakes.

The carbon cycle in the North American Great Lakes is largely uncharacterized (Alin and Johnson 2007). Lake Erie is the shallowest of the Great Lakes, with seasonal algae blooms triggered by nutrient runoff followed by stratification and hypoxia in sediments and the hypolimnion. Investigations of the CO2 balance of the Great Lakes are still preliminary, but indicate that Lake Erie may be a small sink for CO2 via burial of terrestrial or aquatic organic matter (McKinley et al. 2011). Earlier work demonstrated that sediments in Lake Erie were a source of CH4 (Howard et al. 1971; as reported in Weaver and Dugan 1972 and Bastviken et al. 2004), and confirmed the presence of methanogenic bacteria in the lake (Frea et al. 1977; Ward and Frea 1980). The highest CH4 concentrations in surface waters were found in the postturnover season, indicating that CH4 was produced in the hypolimnion and released to the atmosphere during fall turnover. Another group measured CH4 efflux from sediments in the central basin of Lake Erie, and showed that CH4 production and efflux can account for up to 30% of sediment oxygen demand in the lake (Adams et al. 1982). Despite these previous efforts, CH4 emissions from Lake Erie are not well characterized, even as algal blooms have increased in recent years with increasing surface runoff linked to climate warming (Michalak et al. 2013). If increasing algal blooms lead to greater organic carbon loading to bottom waters and sediments, this may increase CH4 evasion from Lake Erie in a positive feedback to climate warming. Increasing hypoxia in Lake Erie due to changes in meteorological patterns or increasing temperatures may also lead to a positive feedback if CH4 emissions increase (O'Reilly et al. 2015; Zhou et al. 2015).

Extraction and distribution of natural gas is one of the largest anthropogenic CH4 sources globally and nationally (Myhre et al. 2013; United States Environmental Protection Agency [USEPA] 2014). CH4 is emitted throughout the natural gas supply chain, including at wells and in pipelines (USEPA 2014; Lamb et al. 2015). These emissions undermine the ability of natural gas to lower total greenhouse gas emissions when used to replace coal or oil for power generation (Howarth et al. 2011; Howarth 2014), and recent studies indicate that emissions of CH4 from natural gas may be underestimated regionally and globally (Townsend-Small et al. 2012; Miller et al. 2013; Brandt et al. 2014). A recent synthesis also indicated that global CH4 emissions from both fossil fuel extraction and wetlands/lakes might be on the rise (Kirschke et al. 2013).

There are two stable isotopes that can help illuminate CH4 sources: carbon-13 (13C) and hydrogen-2 (2H). Ratios of these rare isotopes to the more common isotope are generally expressed in delta (δ) notation. Fossil fuel CH4 produced by high pressure and temperature alteration of organic matter retains isotopic signatures similar to the original plant material, with δ13C and δ2Η values ranging from −50‰ to −30‰ and −300‰ to −150‰, respectively. Conversely, isotopic discrimination during anaerobic organic matter degradation leads to depleted isotope ratios in biogenic CH4 relative to the substrate, with δ13C and δ2Η values from −63‰ to −53‰ and −350‰ to −250‰, respectively (Whiticar 1999; Townsend-Small et al. 2012, 2015), and δ13C of CH4 derived from biogenic carbonate reduction can be even more depleted (Smith and Pallasser 1996; Kirk et al. 2015). Microbial oxidation of CH4 in oxygenated waters results in enrichment of both 13C and 2Η in remaining CH4 (Whiticar 1999).

Here, we present a preliminary dataset of CH4 emission rates and isotopic composition from Lake Erie in pursuit of the following research questions: (1), do hypoxia and CH4 generation in sediments and the water column in Lake Erie lead to efflux of CH4 to the atmosphere, and (2), is offshore natural gas drilling an additional source of atmospheric CH4 from the lake?

Materials and methods

Study area

Lake Erie is the smallest (by volume) and shallowest (average depth ∼19 m) of the Laurentian Great Lakes, and is divided by the international border between the United States and Canada. Lake Erie is both urbanized and agricultural, with an intensively cultivated watershed in both countries as well as 17 metropolitan areas (Waples et al. 2008). Phosphorus loading as a result of these activities results in eutrophication including seasonal algal blooms followed by hypoxia. Reductions in phosphorus loading since signing of the international Great Lakes Water Quality Agreement in 1972 helped mitigate these problems, but algal blooms have increased in recent years, perhaps due to increased temperatures and surface water runoff (Michalak et al. 2013), and hypoxia persists in bottom waters and sediments throughout the lake in summer (Smith and Matisoff 2008; Scavia et al. 2014). In 2014, a large cyanobacteria bloom in Lake Erie led to a drinking water shutdown in the city of Toledo, Ohio (Otten and Paerl 2015).

There are 2104 offshore natural gas wells in Lake Erie, all in Canadian waters (Fig. 1). These are conventional gas wells drilled mostly since the 1970s into Silurian or Cambrian targets, including the Clinton Sandstone (Ontario Oil, Gas, and Salt Resources Library [http://www.ogsrlibrary.com]). Oil extraction is currently not permitted in Canadian waters, and both oil and gas drilling are banned in United States waters of the Great Lakes. Of these wells, 1543 (73%) are plugged and abandoned, and 441 are actively producing gas. Other categories include lost (34 wells total), suspended (68), and unknown (10). Underwater gathering pipelines link wells to natural gas processing and transmission systems in onshore Ontario.

Details are in the caption following the image

Map of Lake Erie including locations of natural gas wells and sampling sites. Site 1326 is at the NOAA Cleveland Central Buoy and site 15 is Environment Canada site 880.

Sample collection

We measured surface CH4 fluxes from eastern and central Lake Erie in September 2012 on the R/V Erie Monitor and collected water samples for isotopic and CH4 concentration measurement throughout the lake in August 2013 on the CCGS Limnos. Additional samples for isotopic analysis only were taken throughout the lake at various depths and in different seasons in 2012, 2013, and 2014. Sampling sites are shown in Fig. 1.

Surface flux measurements were made in two ways. In 2012, we used the floating chamber technique, where the change in concentration over the time period of chamber deployment is used to calculate the CH4 flux (Beaulieu et al. 2010, 2014). Our chambers were made of 12-inch diameter acrylic cake stand covers, spray painted opaque white, with a volume of 9.2 L and a surface area of 660 cm2, and surrounded with inner tubes connected to the plastic chamber with polyurethane spray foam. The chamber tops were fitted with 0.25-inch outer diameter plastic tubing (about 2 m long) for sampling through a 3-way stopcock with a 60 mL nylon syringe. At each sampling interval (every 3 min for 12 min), the tubing was cleared of air before sampling and injection into 20 mL pre-evacuated glass vials.

In 2013, we estimated CH4 fluxes using the concentration of CH4 in surface waters, Schmidt numbers for CH4 calculated from surface water temperatures during sampling, and piston velocities derived from average wind speed during the sampling period as measured on the bridge of the CGCS Limnos, approximately 10 m above the water surface (3.2 m s−1 for the sampling period in 2013) (Yamamoto et al. 1976; Wanninkhof 1992). Water samples for both concentration and isotopic analysis were collected in 125 mL or 155 mL glass narrow-neck serum vials, preserved immediately with 1 μL mL−1 of saturated HgCl2 solution, and capped with gray butyl rubber septa and aluminum crimp seals.

Sample analysis

CH4 was extracted from water samples using the headspace extraction method (Ioffe and Vitenberg 1984) with ultra-high purity N2 gas: headspace gas was transferred to evacuated glass vials containing desiccant beads before analysis. CH4 concentrations in headspace gas and in samples taken during chamber incubations were analyzed on a Shimadzu Scientific Instruments GC-2014 Greenhouse Gas Analyzer, with a range of calibrated CH4 standards bracketing the sample concentrations. CH4 fluxes from chamber measurements were calculated using the slope of the line of concentration change over time (in ppm min−1) multiplied by the chamber volume in L and divided by the chamber surface area in m2 (Parkin and Venterea 2010). Flux measurements with an R2 value of less than 0.8 were considered to be zero. Dissolved CH4 concentrations in water samples were calculated using the measured headspace gas concentration and the temperature-specific Bunsen solubility coefficient (Yamamoto et al. 1976; Beaulieu et al. 2014). Saturation ratios were calculated as the concentration of CH4 in a given water sample divided by the expected concentration of CH4 in water at equilibrium with air (1.839 ppm CH4 in August 2013) (Dlugokencky et al. 2014).

Stable isotopic composition of CH4 was measured via isotope ratio mass spectrometry at the University of Cincinnati (Yarnes 2013). Stable isotope ratios are expressed in delta notation with respect to the Pee Dee Belemnite (for 13C) and Vienna Standard Mean Ocean Water (for 2Η) standards. The instrument is calibrated several times daily with calibrated CH4 standards bracketing the isotopic composition of samples, and standard concentrations are matched to sample concentrations to avoid linearity issues. Stable isotope standards were purchased from Isometrics, Inc. (Victoria, British Columbia) and were cross-calibrated with standards from University of California, Irvine (Tyler et al. 2007; Townsend-Small et al. 2012) and University of California, Davis (Yarnes 2013). Samples were calibrated with a two, three, or four point curve using standards ranging in δ13C and δ2Η from −66.2‰ to −28.5‰ and −247‰ to −156‰, respectively. The reproducibility of δ13C and δ2Η measurements is 0.2‰ and 4‰, respectively (Yarnes 2013).

Results

Lake Erie was a positive flux of CH4 from nearly all surface water sites visited in both years (Fig. 2; Table 1). The average (± SE) flux from both years and both United States and Canadian waters was 8.0 ± 2.5 mg C m−2 d−1. Fluxes ranged from 0 47.3 mg C m−2 d−1 to 47.3 mg C m−2 d−1, and fluxes were not statistically different between the 2 yr (10.7 ± 14.7 mg C m−2 d−1 in 2012 vs. 3.5 ± 1.6 mg C m−2 d−1 in 2013) (Table 1), although we did not necessarily expect fluxes to be identical between sampling years. At sites where fluxes were measured using both methods and during both years, fluxes in 2012 were on average 10.7 times higher than in 2013 (Table 1). Some previous studies have shown that the flux chamber method may overestimate gas exchange vs. wind-speed based estimates (St. Louis et al. 2000; Vachon et al. 2010), whereas other studies have shown that flux chamber, wind-based modeling approaches, and eddy covariance methods are consistent in low wind conditions (< 3 m s−1) (Guérin et al. 2007; Cole et al. 2010; Eugster et al. 2011; Gålfalk et al. 2013). At least one previous study has shown that lake size may have a significant impact on gas transfer velocity, particularly at wind speeds higher than 5 m s−1, indicating that gas emissions from large lakes may have a different relationship with wind speed than smaller lakes (Vachon and Prairie 2013). However, the wind speed model is more easily applied than flux chambers in Lake Erie, because consistently high winds (average wind speed at the NOAA Cleveland Central Buoy in September 2015 = 6.2 m s−1) leading to whitecap conditions that cause chambers to be vented or flipped over. In cases in our 2012 field season where the chamber was destabilized, either a smaller number of time points were used to calculate the flux (i.e., the time points before the chamber was vented), or the flux was considered not measured.

Details are in the caption following the image

Map of Lake Erie including CH4 fluxes measured in 2012 (red circles) and 2013 (blue diamonds), where the size of the symbol corresponds to the magnitude of the flux. [Color figure can be viewed at wileyonlinelibrary.com]

Table 1. Surface methane fluxes from Lake Erie, estimated using the flux chamber method (in 2012) and wind speed and CH4 solubility (in 2013). nm = not measured. * = measurement made over natural gas wells.
Site Latitude (°N) Longitude (°W) CH4 flux—2012 (mg C m−2 d−1) CH4 flux—2013 (mg C m−2 d−1)
LE-6 41.482278 81.831222 5.0 nm
LE-8 41.580694 82.497389 0.7 nm
LE-9 41.582083 82.3765 0.0 nm
LE-10 41.485917 82.698333 15.1 nm
LE-11 41.460861 82.958861 1.5 nm
LE-12 41.450028 82.908472 1.2 nm
LE-13 41.476528 82.772306 5.2 nm
LE-14 41.583444 82.625361 4.4 nm
LE-15 41.936389 81.646667 2.5 2.2
LE-16* 42.097444 82.141222 21.3 1.4
LE-17* 42.139306 82.227 47.2 5.2
LE-18* 41.990417 82.4385 37.3 1.6
LE-19* 41.929389 82.469056 7.4 1.6
LE-20 41.657722 82.818417 1.5 nm
LE-970 41.825 82.975 nm 4.9
LE-971 41.616111 82.049722 nm 4.8
LE-365* 41.925 82.758333 nm 5.3
LE-966* 41.982778 82.625278 nm 4.7
LE-452* 42.580278 79.917778 nm 3.3

Dissolved CH4 concentrations measured in 2013 are shown in Table 2, and two depth profiles taken in 2013 are shown in Fig. 3. In most sampling sites with depths greater than ∼ 11 m, the water column was stratified with depleted O2 in bottom waters (Table 2; Fig. 3A). Shallower sites were well-mixed with near-atmospheric levels of O2 in bottom waters (Table 2). An exception is site 452, which is in the deepest part of Lake Erie, and where O2 is depleted to ∼ 50% of atmospheric levels at the thermocline, but recovers to 10 mg L−1 in the hypolimnion (Fig. 3B). In well-mixed sites, CH4 concentrations are similar at the surface and in bottom waters, but are supersatured with CH4 throughout (Table 2). Previous studies in small stratified lakes have shown that CH4 concentrations are higher in bottom waters than near the surface, consistent with hypolimnetic accumulation and diffusion upwards through the thermocline, where CH4 oxidation and ventilation occurs in the surface well-mixed layer (i.e., Beaulieu et al. 2014). However, in a large lake such as Lake Erie, vertical and horizontal mixing may also exerts significant control over water column profiles of CH4, so hydrodynamic modeling may be needed to distinguish between vertical diffusion and lateral advection of dissolved gases.

Details are in the caption following the image

Depth profiles of dissolved O2 (mg L−1; blue dotted line), temperature (°C; red solid line); and dissolved CH4 (nM; green circles) at two sites in Lake Erie in August 2013. Note different scales for CH4 concentration and depth. [Color figure can be viewed at wileyonlinelibrary.com]

Table 2. Methane and O2 concentrations in Lake Erie at 2013 sampling sites in surface water (0.5 m from surface) and bottom water (2 m from sediment water interface). Locations are in Table 1 and Fig. 1.
Site Depth sounding (m) [CH4] nM—at surface (0.5 m) [CH4] nM—at 2 m from sediment [O2] at bottom (mg L−1)
LE-15 24 37.4 188.4 2.5
LE-16 20.5 24.2 57.9 1.8
LE-17 13 88.1 109.6 2.1
LE-18 13.5 27.5 59.9 2.2
LE-19 11 27.4 29.3 6.6
LE-452 53.5 57.1 115.1 10.4
LE-971 8 107.1 106.8 9.2
LE-970 9.5 80.9 81.5 8.6
LE-966 9.5 78.1 83.9 8.5
LE-365 10.5 87.7 98.0 8.7

Stable isotopic composition of CH4 samples from bottom water reflects the contribution of both biogenic and thermogenic processes as well as microbial CH4 oxidation to CH4 present in Lake Erie (Fig. 4). Samples in Fig. 4 were taken from the sediment-water interface in winter, spring, summer and fall in 2012–2014. Most samples taken in areas without natural gas infrastructure had δ13C and δ2Η values in the range of previous measurements of CH4 derived from anaerobic organic matter respiration (Townsend-Small et al. 2012, 2015), with some samples exhibiting very enriched isotopic compositions consistent with CH4 oxidation (Whiticar 1999) (Fig. 4). Some samples taken in Canada above natural gas wells (Fig. 1) have isotopic signatures consistent with biogenic CH4, while others are similar to thermogenic natural gas (Fig. 4). Many of the samples from natural gas extraction areas also have enriched isotopic signatures affected by oxidation (Fig. 4).

Details are in the caption following the image

Carbon (δ13C) and hydrogen (δ2H) isotopic composition of CH4 extracted from bottom water samples in Lake Erie. Open diamonds represent samples taken over natural gas wells, and open circles represent samples taken from areas without natural gas extraction. Also shown are literature values for biogenic (filled squares) and thermogenic (filled triangles) CH4 (Laughrey and Baldessare 1998; Townsend-Small et al. 2012, 2015). The gray arrow represents the isotope effect of microbial CH4 oxidation (Whiticar 1999).

Figure 5 further shows the effects of CH4 source, vertical mixing, and oxidation on CH4 concentrations and isotopic composition. At both sites, CH4 concentrations are highest in the hypolimnion and decline closer to the surface (see also Fig. 3). At site 15, the isotopic composition of CH4 in the epilimnion reflects the mixing of CH4 diffusing from below the thermocline, CH4 oxidation which enriches 13C, and mixing of CH4 produced in situ with atmospheric CH4 (∼ 47‰; Townsend-Small et al. 2012, 2015). If CH4 in the hypolimnion at site 15 is produced by anaerobic organic matter respiration it has an enriched isotopic composition consistent with production in sediments and oxidation in the water column (Fig. 5A). Conversely, CH4 in hypolimnetic waters at site 452, in the Canadian offshore natural gas field, reflects a clear natural gas source (see Fig. 4) while surface waters have a depleted isotopic signature consistent with biogenic CH4 transported laterally (Fig. 5B).

Details are in the caption following the image

Depth profiles of CH4 concentration and δ13C-CH4 at two sites (see Fig. 1 for locations). CH4 concentration is shown in green circles; isotopic composition in blue diamonds. Both profiles measured during August, 2013. [Color figure can be viewed at wileyonlinelibrary.com]

Discussion

Here, we present data demonstrating that Lake Erie is a positive source of atmospheric CH4 in late summer (8.0 ± 2.5 mg C m−2 d−1). Our stable isotopic measurements indicate that most CH4 in the lake is generated through anaerobic organic matter respiration, but that fugitive natural gas from offshore wells also contributes to CH4 emissions. Most sites we visited in late summer 2012 and 2013 were a positive source of atmospheric CH4 (Fig. 2). Higher fluxes were observed in natural gas extraction regions (p = 0.09), with an average (± standard error) flux from natural gas fields of 12.4 ± 4.8 mg C m−2 d−1 vs. 4.0 ± 1.1 mg C m−2 d−1 from areas without natural gas infrastructure (Table 1). This trend is driven by the relatively high CH4 fluxes measured in 2012 via flux chambers: in 2013, there was no significant difference between fluxes in gas fields vs. areas without natural gas extraction (Table 1). Isotopic measurements of CH4 taken from bottom waters from throughout the lake indicate that some natural gas well and/or pipelines contribute thermogenic CH4 to the lake, while other sampling sites in natural gas extraction areas have largely biogenic CH4 (Fig. 4). We also see some evidence for a small amount of thermogenic CH4 present at sites without natural gas infrastructure, perhaps due to natural seepage (e.g., Quigley et al. 1999).

About 40% of Lake Erie has active or abandoned natural gas wells on the lake floor (Fig. 1). Of the 35 sites where we sampled bottom water above natural gas wells, 10 had an isotopic composition indicative of a predominant natural gas source (Fig. 4), so we assumed that 30% of the area of Lake Erie overlying natural gas wells contributed thermogenic CH4 to the lake: in other words, 12% of the lake area was a source of thermogenic CH4. Using a flux rate of 12.4 ± 4.8 mg C m−2 d−1 for the 12% of the lake contributing thermogenic CH4, and a flux rate of 4.0 ± 1.1 mg C m−2 d−1 for the rest of the lake, we estimate that fugitive natural gas is the source of about 30% of the total daily CH4 emissions from Lake Erie, 1.3 × 105 kg C d−1 in late summer during stratified conditions. These results imply that the lake may be a source of CH4 year-round, as fugitive emissions from natural gas wells and pipelines are not likely to be dependent on temperature and oxygen availability, as is biogenic CH4 production. Active natural gas wells are a well-known source of atmospheric CH4 (USEPA 2014), and about 29% of the gas wells in Lake Erie are active. The underwater pipelines connecting these wells to onshore gathering compressor stations are also a likely source of thermogenic CH4 in Lake Erie (Lamb et al. 2015). The majority of wells in the lake are abandoned, and these can also be a source of CH4, although they likely emit less CH4 than active wells (Etiope et al. 2013; Kang et al. 2014), particularly if they are properly plugged and closed.

Our results (8.0 ± 2.5 mg C m−2 d−1) fall within the range of CH4 emissions observed in hydroelectric reservoirs around the world, which range from ∼0 to 50 mg C m−2 d−1 at similar latitudes to Lake Erie (Barros et al. 2011). The diffusive CH4 flux from Lake Erie in 1971 was estimated to be 0.5 mg C m−2 d−1, or about 15 times lower than our estimated flux (Howard et al. 1971). CH4 fluxes from Lake Erie were lower than observed in a eutrophic reservoir in southwestern Ohio (176 mg C m−2 d−1), although Lake Erie has a more oxygenated water column (and presumably more CH4 oxidation) and relatively less nutrient loading per area than a typical reservoir in this region (Beaulieu et al. 2014).

Positive efflux of CH4 was also found in shallower parts of the lake without water column stratification, such as the western basin and Sandusky Bay (Fig. 2), indicating that CH4 produced in sediments diffuses to surface waters without being completely oxidized, as shown in smaller lakes (Bastviken et al. 2008; Wik et al. 2013; Beaulieu et al. 2014). The western basin is traditionally the site of the largest algal blooms in Lake Erie, and is the location of the largest phosphorus sources to the lake, the Maumee and Sandusky Rivers (Baker et al. 2014; Conroy et al. 2014; Kane et al. 2014). In other words, organic carbon loading to sediments is highest in this part of the lake, and a portion of organic matter in sediments is respired as CH4 and vented to the atmosphere. This is of particular concern as river discharge and/or algal biomass increase in Lake Erie (Michalak et al. 2013). Future studies may consider measuring primary productivity to see if C loading to sediments results in an increase in CH4 evasion to the atmosphere. These results also indicate that Lake Erie may be a source of biogenic CH4 in seasons other than late summer, as sediment hypoxia likely persists throughout spring and summer, if not fall and winter as well.

Our results also indicate that CH4 produced in sediments and bottom waters of Lake Erie is partially or completely (in the case of sites with a CH4 flux of 0) oxidized as CH4 diffuses toward surface waters (Figs. 4, 5). Previous studies have used stable isotopes to calculate CH4 oxidation rates in stratified lakes using the difference between surface and bottom water δ13C-CH4 and the fractionation factor for CH4 oxidation (e.g., Beaulieu et al. 2014). This is complicated in Lake Erie due to the large surface area of the lake and consistently high winds (e.g., Vachon and Prairie 2013). Subsurface and wind-driven currents also likely influence water column patterns of CH4 concentration, and the presence of two different CH4 sources with distinct isotope ratios makes constraining oxidation rates difficult. Future studies may be able to calculate CH4 oxidation rates with more depth profiles of CH4 concentrations and isotopic composition at stratified sites.

Our data in Fig. 5 illustrate the difficulty in using depth profiles of CH4 concentration and isotopic composition to estimate CH4 sources, vertical diffusion rates, and oxidation rates in large lakes. In the current study, we interpret stable isotopic composition of CH4 in bottom waters as indicative of CH4 production pathway. However, our depth profiles (Fig. 5) and isotopic data (Fig. 4) show that oxidation of CH4 exert significant influence over isotopic composition of our samples, including in the hypolimnion and/or sediment-water interface. Our depth profile (e.g., Fig. 5A) may show that biogenic CH4 is oxidized in the hypolimnion ([O2] ∼1 mg L−1), leading to enriched isotopic signatures, and that mixing of hypolimnetic CH4 with atmospheric CH4 (δ13C ∼−47‰) controls δ13C-CH4 in the epilimnion. Our isotopic measurements of CH4 from bottom waters indicate that most of the enriched CH4 signatures originate from sites above natural gas wells, whereas oxidation would be expected to affect both types of sites: we interpret this as evidence that thermogenic CH4 is indeed emitted into the lake. Additional work is needed on constraining emission rates from offshore natural gas wells through direct measurements, as well as measurements of CH4 oxidation rates for a better understanding of CH4 sources in Lake Erie. If natural gas leakage from these offshore wells is indeed contributing to CH4 efflux from Lake Erie, this flux may increase as water column temperatures rise and O2 concentrations decrease (e.g., O'Reilly et al. 2015). An additional complication to using depth profiles in Lake Erie is the possibility of lateral advection and mixing, much more likely in such a large lake. Hydrodynamic modeling of Lake Erie would also help in interpreting depth profiles.

To scale our preliminary measurements to a lake-wide estimate of CH4 emissions, we used historical data from the NOAA Cleveland Central Buoy (http://www.glerl.noaa.gov/res/recon/station-clv.html), which is located at our sampling site 1326 (Table 1) to show that the lake is typically stratified in late summer (August and September) with dissolved oxygen levels at the sediment-water interface ranging from 0 mg L−1 to 3 mg L−1. Previous studies have also presented evidence that hypoxia is common in the Central Basin of Lake Erie in late summer (Zhou et al. 2013, 2015), so we assumed that our results from 2012 to 2013 were representative of normal late summer conditions. We used a surface area for Lake Erie of 25,655 km2 and assumed that 12% of the lake had CH4 fluxes similar to our average flux over natural gas wells (12.4 ± 4.8 mg C m−2 d−1) and the rest of the lake had a flux of 4.8 ± 1.1 mg C m−2 d−1 (Table 1). This leads to an estimated daily CH4 flux from Lake Erie of 1.3 × 105 kg C d−1 for late summer. Propagating the standard deviation of our flux measurements leads to uncertainties of about 50%, but this could be reduced with greater intensity of flux measurements in future studies. Additional work, including year-round measurements, is needed to calculate an annual flux of CH4 from Lake Erie, which could be used to compare emissions from Lake Erie to global lake CH4 emissions (54 × 1012 g C yr−1) (Barros et al. 2011; Bastviken et al. 2011). Putting Lake Erie's CH4 emissions into a regional context is also complicated. Neither Ohio nor Ontario have produced estimates of state-wide CH4 emissions, and Lake Erie would likely constitute a “natural” rather than anthropogenic CH4 source in such greenhouse gas budgets. Future work would benefit from collaboration with local and regional governments to assess the importance of this source in regional greenhouse gas emissions budgets.

Implications

Emissions of CH4 from lakes and wetlands is one of the dominant sources globally, and there is growing concern that this flux may be increasing in response to increasing global temperatures. More work is needed in the Great Lakes to determine even basic terms in the C budget, and long-term monitoring can help to determine how changing climate and hydrology may affect Great Lakes biogeochemistry. Other open questions remaining for Lake Erie include determining how much organic matter in the lake is autochthonous vs. allochthonous, how much of buried organic carbon is respired as CO2 and CH4, and whether these emissions are large enough to overcome the impact of long-term carbon burial in sediments.

As Lake Erie has a large surface area (∼25,000 km2, the thirteenth largest lake on Earth by surface area) and is the first of the Laurentian Great Lakes to host offshore natural gas wells, these results have potentially significant implications for future emissions scenarios. If increasing intensity of precipitation in the Lake Erie watershed and subsequent nutrient runoff supports greater algal biomass (Michalak et al. 2013), hypoxia may intensify, possibly exacerbating greater emissions of CH4 in a positive feedback to climate warming (i.e., Beaulieu et al. 2014; O'Reilly et al. 2015). Furthermore, fugitive emissions of CH4 from the natural gas supply chain may also increase as the United States and Canada increasingly exploit conventional and shale gas resources (Howarth et al. 2011; Townsend-Small et al. 2012; Howarth 2014). Our work also highlights the difficulty in scaling up CH4 emission rate studies from small lakes to larger lakes, such as Lake Erie, as the larger surface area and higher winds make comparisons to previous studies difficult. Larger scale studies of the C cycle in all of the Laurentian Great Lakes are needed to assess the role of this system in regional and global C budgets.

Acknowledgments

Thanks to Frida Åkerstrom, Claire Botner, and Kristine Jimenez (University of Cincinnati) for their assistance in the laboratory, and Kristin Stanford, Matt Thomas, and Chris Winslow (Ohio Sea Grant) and Jake Beaulieu (United States Environmental Protection Agency) for their assistance in planning and implementation of this work. This manuscript was substantially improved through feedback from two anonymous reviewers and the editor, Dr. Robert Howarth. This project was funded by Ohio Sea Grant and the National Science Foundation Major Research Instrumentation program (NSF-1229114), with additional support from the Environment Canada Research Support Division.