The carbon dioxide (CO2) fluxes from headwater streams are not well quantified and could be a source of significant carbon, particularly in systems underlain by carbonate lithology. Also, the sensitivity of carbonate systems to changes in temperature will make these fluxes even more significant as climate changes. This study quantifies small-scale CO2 efflux and estimates annual CO2 emission from a headwater stream at the Konza Prairie Long-Term Ecological Research Site and Biological Station (Konza), in a complex terrain of horizontal, alternating limestones and shales with small-scale karst features. CO2 effluxes ranged from 2.2 to 214 g CO2 m−2 day−1 (mean: 20.9 CO2 m−2 day−1). Downstream of point groundwater discharge sources, CO2 efflux decreased, over 2 m, to 3–40% of the point-source flux, while δ13C-CO2 increased, ranging from −9.8 ‰ to −23.2 ‰ V-PDB. The δ13C-CO2 increase was not strictly proportional to the CO2 flux but related to the origin of vadose zone CO2. The high spatial and temporal variability of CO2 efflux from this headwater stream informs those doing similar measurements and those working on upscaling stream data, that local variability should be assessed to estimate the impact of headwater stream CO2 efflux on the global carbon cycle.

  • An intermittent stream in merokarst terrain has highly variable efflux both spatially and temporally.

  • CO2 efflux was rapid: 2 m downstream of the point of groundwater discharge flux was 3–40% of the point-source flux.

  • δ13C-CO2 correlated negatively with CO2 fluxes except for two high-flux values, suggesting δ13C-CO2 is not a reliable indicator of CO2 flux.

Headwater stream emission of carbon dioxide (CO2) is a significant part of the short-term carbon cycle (Cole et al. 2007, 2010; Nadeau & Rains 2007; Battin et al. 2009; Alin et al. 2011; Butman & Raymond 2011; Striegl et al. 2012; Atkins et al. 2013; Dinsmore et al. 2013; Hotchkiss et al. 2015; Schade et al. 2016; Marx et al. 2017; Horgby et al. 2019; Li et al. 2021). Headwater streams are complex environments, accounting for more than half of all stream lengths globally (Nadeau & Rains 2007). The small-scale heterogeneity common in these systems makes it difficult to characterize and upscale CO2 cycling and to quantify their contributions to atmospheric greenhouse gas concentrations. Further, recent research has highlighted the importance of karstic springs, and their contributions to headwater environments, as CO2 sources to the atmosphere (Maas & Wicks 2017; Lee et al. 2021).

Carbon flux from streams depends on terrestrial production and storage of CO2 in the soil and in shallow aquifers, and on the hydrogeologic pathways that connect them, in addition to in-stream CO2 production (Bernal et al. 2022). Groundwater discharge is the primary source of dissolved gases in low-order streams (Hope et al. 2001; Doctor et al. 2008; Johnson et al. 2008; Sand-Jensen & Staehr 2012; Crawford et al. 2013; Hotchkiss et al. 2015; Deirmendjian et al. 2018), with shallow aquifers and interflow, not deep groundwater, the main contributors of CO2 to streams (Hotchkiss et al. 2015). It is estimated that over 70% of this CO2 stream flux is produced terrestrially, with the majority of the terrestrial contribution derived from infiltration through soil (Hotchkiss et al. 2015; Nosrati et al. 2020). Terrestrially derived CO2 is produced during organic matter degradation, and root and organism respiration. Meteoric water infiltrates the soil, taking up soil CO2 (Chapelle 2000). Although most soil CO2 escapes upward to the atmosphere, downward water migration to groundwater dissolves and transports ∼1–2% of soil CO2 (Hendry et al. 1993; Schlesinger & Lichter 2001; Tsypin & Macpherson 2012). Carbonic acid from the dissolution of CO2 dissolves carbonate minerals, releasing inorganic carbon into the solution. These carbon fluxes lead to the accumulation of CO2 in groundwater, with concentrations one to two orders of magnitude higher than in the atmosphere (Schlesinger & Melack 1981; Johnson et al. 2008; Macpherson et al. 2008; Macpherson 2009; Monger et al. 2015; Macpherson & Sullivan 2019). When groundwater discharges into surface water, gas efflux is driven by the concentration gradient between the water and atmosphere.

Given the extensive distribution of carbonate terrains across the world (Weary & Doctor 2014; Chen et al. 2017), the sensitivity of carbonate weathering to changes in temperature and water residence time (Sullivan et al. 2019), and the complexity of groundwater–surface water interactions, it is necessary to better quantify CO2 efflux in carbonate-hosted headwaters. In addition, it is critical to relate the CO2 flux to groundwater discharge to understand its contribution to global greenhouse gases. We present the results of a ∼1-year study of a headwater stream at the Konza Prairie Long-Term Ecological Research Site (LTER) and Biological Station (Konza), where merokarst (thin limestones alternating with shales) presents both the opportunity and challenge to characterize point sources of groundwater discharge (herein referred to as point sources) and resulting CO2 efflux. We contrast the CO2 fluxes from the stream water passing over outcrops or subcrops of limestone and shale, quantify the stream CO2 emission within the lower half of the watershed (∼1.1 km stream length), and test how efflux is related to δ13C-CO2.

The Konza LTER is part of one of the last remaining undisturbed, tallgrass prairies in North America. The 3,487-ha research area is located in the Flint Hills, near Manhattan, Kansas (Figure 1(a)). The Flint Hills, unlike other prairie environments, lack soils suitable for tilling, which has reduced anthropogenic stresses on the ecosystem. Konza LTER is divided into 60 watersheds with different research treatments; Tsypin & Macpherson (2012) showed that the study watershed, N04d (1.2 km2), is on a major watershed divide and is surrounded by grazed land. Stream reaches in watershed N04d are intermittent except for a few small pools that are dry only during the most severe droughts (Figure 1).
Figure 1

(a) Location map of the Konza Prairie LTER Site with inset of the N04d watershed. Data from monitoring wells are included in Supplemental Information. (b) Waypoint (WP) GPS locations and stream reach discretization based on geology along the South Fork of Kings Creek. SRC: point-source location. Some downstream sampling locations are 1 and 2 m from SRC locations, so are not resolved on this scale map and are labeled with a single WP. Stream flows north. WP 17 is a spring ∼5 m above the streambank.

Figure 1

(a) Location map of the Konza Prairie LTER Site with inset of the N04d watershed. Data from monitoring wells are included in Supplemental Information. (b) Waypoint (WP) GPS locations and stream reach discretization based on geology along the South Fork of Kings Creek. SRC: point-source location. Some downstream sampling locations are 1 and 2 m from SRC locations, so are not resolved on this scale map and are labeled with a single WP. Stream flows north. WP 17 is a spring ∼5 m above the streambank.

Close modal

Climate

Konza has a temperate, mid-continental climate (Hayden 1998), with high variability both seasonally and annually (Nippert & Knapp 2007). From 1983 to 2016 (Nippert 2017), the average daily air temperature at Konza was 12.8 °C, and the mean total annual precipitation was 839 mm. From July 2015 to August 2016, the period of this study, the average air temperature was 14.9 °C and precipitation was 974 mm (116% of the annual mean precipitation; Supplemental Table S1); 70% of precipitation fell during the growing season (March to October). On an annual basis, both 2015 and 2016 exceeded both the long-term average precipitation and air temperature.

Vegetation

Konza lies along the southeastern margin of the North American Prairie (Hayden 1998). Konza flora is dominated by C4 grasses and forbs (C3), while woody vegetation (C3) is found in patches in riparian zones and on hillslopes (Veach et al. 2014). C3 and C4 plants differ in their method of carbon fixation during photosynthesis (Wang et al. 2012), which affects the δ13C of CO2 produced during the breakdown of the plants.

Geology

Konza is underlain by thin soils and merokarst. The loess-based soils, primarily silty clays and silty clay loams (NRCS 2006), are thickest (∼1 m) at the base of slopes and patchy on the plateaus (Ranson et al. 1998). The merokarst is thin, interlayered beds of Lower Permian age limestones (mostly 1–2 m) and thicker shales (4–6 m; Supplemental Figure S1); discontinuous Quaternary alluvium occupies valleys. Bedrock strikes northeast-southwest and dips ∼2° northwest (Twiss 1988). Limestone outcrops form flat uplands and benches along the hillsides; slopes form over shales. Streams dissect the landscape into relatively steep-sided valleys (Macpherson 1996). The limestones and alluvium act as aquifers and shales as aquitards; many of the limestones are hydraulically connected to the streams (Macpherson et al. 2008; Hatley et al. 2023). Hydraulic conductivities of the limestones, controlled by secondary porosity, range over five orders of magnitude (10−8 to 10−3 m s−1; Pomes 1995; Sullivan et al. 2020).

Geologic mapping, measurement sites, and sampling sites spanned 1,125 m of the South Fork of Kings Creek and were located with a Garmin Etrex Legend GPS. Stream segments were discretized, based on geology, into nine reaches (Figure 1(b)). Those underlain by shale and limestone account for 41 and 59% of the total stream length, respectively. Stream reaches underlain by shale are narrower than reaches underlain by limestone; for calculation purposes, widths of stream reaches underlain by shale were set at 1.0 m and those by limestones at 1.5 m. For the sake of brevity, units will be identified with their simplified geologic name: Crouse, Upper Eiss, Lower Eiss, Stearns, Morrill, and Florena.

To quantify the flux and fractionation of CO2 in this system, measurements of stream discharge were made, water samples were collected and analyzed for basic water chemistry and for C isotopes, and CO2 flux was measured in the stream. As this is an intermittent, flashy, stream, sampling was not possible when there was no water in the stream and also when the flows were so high as to be unsafe for sampling.

Stream and point discharge

Stream discharge was measured using data from the triangular-throated weir, and point discharge measurements were taken at nine WP locations on two different days using a ∼30 cm long, 0.25 cm inside-diameter pitot tube. Streamflow measurements follow protocols outlined by the Environmental Protection Agency (Meals & Dressing 2008) and the United States Geological Survey (USGS 2016).

Throughout most of the year, temperature differences exist between groundwater (Macpherson 2020) and surface water (Brookfield et al. 2017; Nippert 2017; Nippert & Knapp 2007) at Konza. The average groundwater temperature was ∼16 °C for the study period, with the average surface water temperature of ∼21 °C. This temperature differential permitted the location of point-source groundwater discharge locations (point sources) by a FLIR® T600 Thermal Imaging Infrared Camera (FLIR Camera). Seeps and springs flowing from fractures along the streambank and streambed were observed, and they were underlain by the Morrill, Eiss, and Crouse limestones. These point sources were used to evaluate degassing lengths.

Water chemistry

Groundwater and stream water samples were collected over the study period. Groundwater was sampled from five observation wells: 3-5 Mor, 3-5-1 Mor, 3-6 Mor, 4-6 Eis1, and 4-6 Eis2 (Figure 1(a)). The results of chemical analysis (inorganic species and pH; Norwood 2020) were used to calculate aqueous pCO2 by developing with PHREEQC Interactive 3.1.7–9213 (Charlton et al. 1997; Supplemental Table S2). Charge balances were also calculated using PHREEQC.

CO2 flux and carbon isotopes

CO2 efflux from the stream was measured with a suspended chamber (Crawford et al. 2014; Rawitch et al. 2019). Two chamber designs were lab tested (Norwood 2020) and used in the field. The first is a 3D-printed ABS plastic rectangular prism with rounded, triangular prisms on the front and back for streamlining; it has a small footprint (9.40 × 10−3m2) and was sealed with acetone vapor. The second is made with 5-mm thick plexiglass, is heavier, has the shape of a rectangular prism, and has a larger footprint (1.55 × 10−2m2).

For each trial, the bottom of the chamber was submerged ∼2 cm below the water surface, sealing the chamber to the water surface and preventing the influx of atmospheric CO2. The chamber was connected to a pump and a Li-Cor LI-820 CO2 Infrared Gas Analyzer using Tygon® tubing; the circulating air (1 L/min) passed through a Drierite® filter to remove moisture. CO2 concentrations from the chamber were logged at 1-s intervals; pressure changes in the chamber were minimized by returning analyzed gas to the chamber. Chamber trials lasted at least 5 minutes, ensuring that the CO2 emission rate became linear. Between trials, the chamber atmosphere was allowed to equilibrate with the atmosphere. Atmospheric CO2 (ppm), temperature (°C), and relative humidity (RH, %) were measured using an AZ-77535 CO2/temperature/RH meter.

Chamber flux (Fc) was calculated for each suspended chamber measurement as follows:
(1)
where is the change in chamber CO2 concentration with time, p is the gas pressure in the chamber, Vc is the chamber volume, R is the universal gas constant, T is the air temperature in Kelvin, and Ac is the surface area of water covered by the chamber (Müller et al. 2015). To determine , a linear regression was fit to the linear portion of the flux data; data were excluded if R2 < 0.90. The diffusive transfer of gases between a water surface and the atmosphere (F; [ML−3T−1]) is expressed as follows:
(2)
where is the atmospheric gas concentration above the water body, is the gas concentration in the water, and k is the gas transfer coefficient (MacIntyre et al. 1995). The gas transfer coefficient (gas transfer velocity) is temperature and density dependent (Demars & Manson 2013; Wanninkhof 2014). k is converted to k600 (Cole & Caraco 1998) to compare with other gas transfer rates at 20 °C.
To estimate the flux from the stream, we first calculated an estimate of total daily flux (FTD) (g CO2 day−1) using average flux for each stream reach as follows:
(3)
FSU is the daily flux (g CO2 m−2 day−1), and ASU is the surface area (m2) for each stream reach. For six of the stream reaches, average CO2 flux was calculated using direct measurements. For two of the units where direct measurements were not made, and mean CO2 flux (mol m2 day−1) was used for each rock type (shale or limestone). CO2 flux from the Florena was only measured once, so that measurement was used to represent that unit. An estimate of total flux for the study period (FSP) was then determined by:
(4)
where t is days of recorded stream discharge at the triangle-throated flume (weir) at the northwestern end of the watershed (Figure 1).

Gas was sampled directly from the suspended chamber and stored in 0.5 L Tedlar® Gas-Sampling Bags for C isotope determination. These samples were analyzed on a Picarro® G2201-I Analyzer for Isotopic CO2/CH4 to determine δ13C-CO2. Two reference standards for CO2 gas (δ13C of −40.78‰ and −10.42‰, V-PDB) were used along with CO2 gas standards (500 ppm and 1,000 ppm) for calibration. Samples were injected directly into the Picarro analyzer from the gas-sampling bags. Between analyses, nitrogen gas flushed the Picarro of CO2.

Stream and point discharge

The Konza LTER Program records stream discharge at the weir every 5 min; data are transformed into daily averages (Dodds 2021). The discharge measurements at the weir are assumed to be a reliable indicator of upstream flow in N04d; however, we also recorded discharge at upstream reaches on two dates when there was no flow at the weir. Over the study period, discharge was recorded at the weir 68% of the time. The mean discharge was 138 m3/day, and the median discharge was 402 m3/day (Supplemental Figure S2). The mean discharge and sum of daily discharge from 1 January 2016 to 2 August 2016 were almost twice as high as in 2015 (Supplemental Table S1).

Chamber-site discharge measurements were made to supplement weir data on two different days with a pitot tube. Measure values varied over an order of magnitude, and measurement points were ∼50 to ∼100 m apart (Figure 2). The upstream-most reach is underlain by the Crouse and was measured on 2 August 2016. Most other locations are also underlain by limestone, except WP-10B (Stearns), and were measured on 22 July 2016. Note that no discharge was recorded at the weir on either of those days, illustrating that this is a losing stream.
Figure 2

Stream discharge measured with downstream distance from (a) WP-18 (Crouse, 2 August 2016) and (b) WP-3D (Upper Eiss, Lower Eiss, Stearns, and Morrill, 22 July 2016).

Figure 2

Stream discharge measured with downstream distance from (a) WP-18 (Crouse, 2 August 2016) and (b) WP-3D (Upper Eiss, Lower Eiss, Stearns, and Morrill, 22 July 2016).

Close modal

Water chemistry

Groundwater and surface water samples were collected over the 379 days between 21 July 2015 and 2 August 2016 (Supplemental Table S3). Charge balances are less than 5% for all but three analyses. Water chemistry is typical of limestone terrains, dominated by calcium and bicarbonate with slightly alkaline pH and moderate total dissolved solids. Analytical methods and results are similar to other studies done at the site (e.g., Macpherson 1996; Macpherson et al. 2008; Macpherson & Sullivan 2019). With the exception of seasonal variations in temperature and nitrate, very little spatial or temporal variability was observed at this site (Table 1) and is not further discussed.

Table 1

Average and standard deviation (in brackets) of water chemistry in groundwater and surface water samples

Sampling location
3-5 Mor3-5-1 Mor4-6 Eis24-6 Eis14-6 MorSurface water
Temperature (°C) 15.8 (2.07) 15.4 (1.54) 16.6 (1.76) 16.6 (1.88) 16.0 (2.25) 22.1 (5.82) 
Ca (mg/L) 102.2 (10.21) 86.7 (1.34) 91.0 (5.62) 71.1 (2.58) 102.1 (6.48) 93.2 (9.43) 
Mg (mg/L) 20.8 (2.06) 28.4 (0.35) 15.4 (2.54) 26.9 (0.93) 23.4 (1.67) 20.4 (1.85) 
Na (mg/L) 5.0 (0.49) 2.9 (0.46) 3.8 (0.53) 6.7 (0.83) 5.4 (0.41) 3.3 (0.99) 
K (mg/L) 1.0 (0.21) 1.2 (0.05) 0.75 (0.21) 1.2 (0.15) 1.2 (0.36) 1.1 (0.24) 
Si (mg/L) 6.6 (1.48) 6.0 (0.44) 5.8 (1.49) 6.6 (0.58) 6.5 (0.58) 5.3 (0.68) 
Cl (mg/L) 2.6 (1.05) 30 (0.68) 2.0 (0.49) 2.1 (0.33) 2.7 (0.48) 2.5 (0.77) 
Alkalinity (meq/L) 406.9 (26.09) 380.3 (2.49) 353.5 (16.87) 348.8 (16.32) 401.0 (23.37) 359.8 (34.22) 
SO4 (mg/L) 30.7 (12.73) 41.5 (1.90) 12.9 (3.75) 23.0 (1.76) 34.2 (9.99) 29.3 (4.75) 
NO3-N (mg/L) 0.0 (0.02) 0.0 (0.05) 0.1 (0.05) 0.01 (0.07) 0.0 (0.03) 0.1 (0.11) 
pH 7.2 (0.13) 7.3 (0.09) 7.2 (0.08) 7.5 (0.14) 7.3 (0.11) 7.8 (0.41) 
Sampling location
3-5 Mor3-5-1 Mor4-6 Eis24-6 Eis14-6 MorSurface water
Temperature (°C) 15.8 (2.07) 15.4 (1.54) 16.6 (1.76) 16.6 (1.88) 16.0 (2.25) 22.1 (5.82) 
Ca (mg/L) 102.2 (10.21) 86.7 (1.34) 91.0 (5.62) 71.1 (2.58) 102.1 (6.48) 93.2 (9.43) 
Mg (mg/L) 20.8 (2.06) 28.4 (0.35) 15.4 (2.54) 26.9 (0.93) 23.4 (1.67) 20.4 (1.85) 
Na (mg/L) 5.0 (0.49) 2.9 (0.46) 3.8 (0.53) 6.7 (0.83) 5.4 (0.41) 3.3 (0.99) 
K (mg/L) 1.0 (0.21) 1.2 (0.05) 0.75 (0.21) 1.2 (0.15) 1.2 (0.36) 1.1 (0.24) 
Si (mg/L) 6.6 (1.48) 6.0 (0.44) 5.8 (1.49) 6.6 (0.58) 6.5 (0.58) 5.3 (0.68) 
Cl (mg/L) 2.6 (1.05) 30 (0.68) 2.0 (0.49) 2.1 (0.33) 2.7 (0.48) 2.5 (0.77) 
Alkalinity (meq/L) 406.9 (26.09) 380.3 (2.49) 353.5 (16.87) 348.8 (16.32) 401.0 (23.37) 359.8 (34.22) 
SO4 (mg/L) 30.7 (12.73) 41.5 (1.90) 12.9 (3.75) 23.0 (1.76) 34.2 (9.99) 29.3 (4.75) 
NO3-N (mg/L) 0.0 (0.02) 0.0 (0.05) 0.1 (0.05) 0.01 (0.07) 0.0 (0.03) 0.1 (0.11) 
pH 7.2 (0.13) 7.3 (0.09) 7.2 (0.08) 7.5 (0.14) 7.3 (0.11) 7.8 (0.41) 

CO2 flux and carbon isotopes

Carbon flux measurements from the South Fork ranged from 2.2 to 214 g CO2 m−2 day−1, with a mean CO2 flux of 20.9 g CO2 m−2 day−1 ± 41.4 g CO2 m−2 day−1 (1 S.D.; Supplemental Table S4). WP-3A-SRC and WP-17 are high-flux outliers. For nearly all locations, flux measurements were higher for stream reaches underlain by limestone than those underlain by shale. The CO2 fluxes measured in the three limestone units also varied, even between the more-permeable (Upper Eiss) and less-permeable (Lower Eiss) portions of the same limestone member (Table 2 and Supplemental Table S4). During the study period, the variability within a geologic unit, measured two to four times, was higher in high permeability units (Upper Eiss; Crouse [presumed high because of frequency of springs in this unit; Barry 2018]) than low permeability units (Lower Eiss, Stearns, Morrill). Among the limestones, the CO2 fluxes and the coefficients of variation of the CO2 fluxes decreased with unit thickness (Table 2). Point sources were not found in stream reaches underlain by shale.

Table 2

Variability in CO2 flux measurements in CO2 m−2 day−1 taken at same locations but different times

Measurement locationMeanStandard deviationCoefficient of variation %Count
All with multiple measurements 
Crouse LS, WP-13  14.2 13.4 95 
Upper Eiss LS, WP-4 SRC 14.1 16.3 116 
Upper Eiss LS, WP-3 SRC 57.1 88.4 155 
 1 m DS 35.8 18.5 52 
 2 m DS 17.6 10.5 59 
Lower Eiss LS, WP-2 SRC 13.1 4.6 35 
 1 m DS 10.1 4.8 47 
 2 m DS 7.3 1.4 19 
Lower Eiss LS, WP-1 SRC 11.2 1.5 14 
 1 m DS 13.7 0.2 
 2 m DS 14.5 7.6 53 
Morrill LS, WP-7  4.3 0.5 11 
Without outliers 
Upper Eiss LS, WP-3 SRC 17.8 12.1 68 
 1 m DS 25.1 0.5 
 2 m DS 11.6 0.1 
Measurement locationMeanStandard deviationCoefficient of variation %Count
All with multiple measurements 
Crouse LS, WP-13  14.2 13.4 95 
Upper Eiss LS, WP-4 SRC 14.1 16.3 116 
Upper Eiss LS, WP-3 SRC 57.1 88.4 155 
 1 m DS 35.8 18.5 52 
 2 m DS 17.6 10.5 59 
Lower Eiss LS, WP-2 SRC 13.1 4.6 35 
 1 m DS 10.1 4.8 47 
 2 m DS 7.3 1.4 19 
Lower Eiss LS, WP-1 SRC 11.2 1.5 14 
 1 m DS 13.7 0.2 
 2 m DS 14.5 7.6 53 
Morrill LS, WP-7  4.3 0.5 11 
Without outliers 
Upper Eiss LS, WP-3 SRC 17.8 12.1 68 
 1 m DS 25.1 0.5 
 2 m DS 11.6 0.1 

SRC, point source of groundwater discharge; DS, downstream of point source.

To investigate degassing lengths, measurements were made at the point source and at 1 and 2 m downstream. In the Upper Eiss reach, carbon flux at 2 m downstream from the point source ranged from 14 to 42% of the point-source flux, decreasing in all trials (Figure 3). Location WP-1 (Lower Eiss) had multiple rather than a single-point source within the 2-m distance, resulting in nonuniform downstream fluxes. In the Upper Eiss reach, CO2 flux ranged from ∼7 to 214 g CO2 m−2 day−1, the high value being an outlier; the Crouse spring located just west of the stream was the other high-flux outlier (Supplemental Table S4). Figure 3 shows the trials where the groundwater discharge was measured directly, without the influence of stream water. This was accomplished using a ∼0.3 m diameter half-pipe made of aluminum flashing and plastic sheeting to isolate the point-source water (location WP3, measured twice on the same day) and when there was no upstream flow (WP4). The WP-3 and WP-4 fluxes were similar, suggesting that the isolation method was successful. The data in the lower hydraulic conductivity Morrill reach and the long Crouse reach (Supplemental Table S4) have irregular degassing patterns similar to the Lower Eiss reach.
Figure 3

CO2 flux changes with downstream distance from point source.

Figure 3

CO2 flux changes with downstream distance from point source.

Close modal

Table 3 presents the mean CO2 flux for each geologically constrained stream reach (stream reaches that correspond to only one geologic unit) during the 379-day study period. The average flux for all units was of the same order of magnitude with or without outliers: 14.5 ± 14.8 g CO2 m−2 day−1 with and 10.2 ± 10.6 g CO2 m−2 day−1 without outliers. Therefore, during the approximately 1-year study period, the South Fork emitted between 4.2 and 7.0 metric tons of CO2 from the stream to the atmosphere.

Table 3

CO2 properties of stream reaches underlain by geologic units

Stream segmentaMean k600 (m/s)Mean flux (g CO2/m2/day)bStream length (m)Stream width (m)Stream area (m2)Flux (g CO2/day)b
Crouse LS 5.81 × 10−8 35.7/9.18 201 1.5 302 10,771/2,773 
Easly Creek SH 1.08 × 10−8 3.48 131 1.0 131 456 
Middleburg LS 2.55 × 10−8 34.61 87 1.5 130 4,499 
Hooser SH 1.08 × 10−8 3.48 85 1.0 85.3 297 
Upper Eiss LS 1.81 × 10−8 31.7/19.5 154 1.5 231 7,321/4,512 
Lower Eiss LS 7.07 × 10−9 10.8 162 1.5 243 2,614 
Stearns SH¥ 1.13 × 10−8 4.46 119 1.0 119 531 
Morrill LS 2.22 × 10−8 4.15 61 1.5 91.1 378 
Florena SH 1.08 × 10−8 2.51 126 1.0 126 316 
Total stream length (m) and stream area (m2  1,125  1,458  
Stream segmentaMean k600 (m/s)Mean flux (g CO2/m2/day)bStream length (m)Stream width (m)Stream area (m2)Flux (g CO2/day)b
Crouse LS 5.81 × 10−8 35.7/9.18 201 1.5 302 10,771/2,773 
Easly Creek SH 1.08 × 10−8 3.48 131 1.0 131 456 
Middleburg LS 2.55 × 10−8 34.61 87 1.5 130 4,499 
Hooser SH 1.08 × 10−8 3.48 85 1.0 85.3 297 
Upper Eiss LS 1.81 × 10−8 31.7/19.5 154 1.5 231 7,321/4,512 
Lower Eiss LS 7.07 × 10−9 10.8 162 1.5 243 2,614 
Stearns SH¥ 1.13 × 10−8 4.46 119 1.0 119 531 
Morrill LS 2.22 × 10−8 4.15 61 1.5 91.1 378 
Florena SH 1.08 × 10−8 2.51 126 1.0 126 316 
Total stream length (m) and stream area (m2  1,125  1,458  

aLS, limestone; SH, shale; informal names. See Supplemental Figure S1 for full stratigraphic names.

bWhere two values are entered, the first includes high-flux outliers and the second excludes them.

Stable carbon isotope ratios of chamber CO2 (δ13C-CO2) ranged from −9.7 ‰ to −23.2 ‰ (V-PDB) with a mean of −14.9 ±4.2‰ (V-PDB) (Supplemental Table S3). Gas samples collected at point sources have lower isotopic compositions (mean, −16.8 ±3.0‰ V-PDB) than stream reaches with minimal groundwater influence (mean, −10.5 ±0.4‰ V-PDB). Similar to CO2 flux, small-scale spatial trends in δ13C-CO2 showed a consistent depletion in 12C from point source to downstream (Figure 4).
Figure 4

Changes in (a) δ13C-CO2 and (b) flux with distance downstream from point sources in Eiss and Crouse limestones. In each set of three, measurements are at point source and two locations downstream from the point source. In Eiss limestone, midstream and downstream represent 1 and 2 m downstream of point source, respectively. In Crouse limestone, source is at spring outlet 2 m from stream, and midstream and downstream are measured at WP-14 and WP-13. Datasets of August 2015 and March 2016 for the Upper Eiss limestone are the same locations; the April 2016 location is ∼50 m upstream.

Figure 4

Changes in (a) δ13C-CO2 and (b) flux with distance downstream from point sources in Eiss and Crouse limestones. In each set of three, measurements are at point source and two locations downstream from the point source. In Eiss limestone, midstream and downstream represent 1 and 2 m downstream of point source, respectively. In Crouse limestone, source is at spring outlet 2 m from stream, and midstream and downstream are measured at WP-14 and WP-13. Datasets of August 2015 and March 2016 for the Upper Eiss limestone are the same locations; the April 2016 location is ∼50 m upstream.

Close modal

Spatial and temporal variability of CO2 flux

The spatially and temporally variable CO2 fluxes and carbon isotopes in this study reflect the geomorphologic and hydrologic heterogeneity of the South Fork, variable annual weather patterns, and vegetation. Point sources were only identified in reaches underlain by limestone and at geologic contacts between limestones and shales.

The spatial variation of CO2 flux along the South Fork is attributed to point sources of groundwater discharge. In addition, the highest daily CO2 emissions corresponded to the thickest (Crouse) and most permeable (Upper Eiss) limestones (Figure 3; Supplemental Table S4). Where measurements were made downstream of the point source, most locations showed a large decline in CO2 efflux (Figure 3; Supplemental Table S4), reinforcing the complexity of characterizing the contribution of degassed CO2. In some stream reaches, multiple point sources occur over short distances, further increasing the complexity of the degassing patterns (e.g., WP-1, Lower Eiss). These short distances are in contrast to the previous work that evaluated degassing over stream lengths of 100 s–1,000 s of meters (e.g., Mohammadi et al. 2020). In the Morrill reach, the discharge and degassing patterns may also be complicated by complex groundwater flow patterns. This includes groundwater moving upstream with respect to surface water flow, which then discharges below the weir, suggesting losing stream behavior (Sullivan et al. 2020, their supplemental information; Barry 2018); and small-scale gaining and losing stream behavior within the outcrop in the stream (Norwood 2020). The extensive outcrop of the Crouse in the upstream portion (Figure 1(b) and Table 3) has multiple point sources with different CO2 fluxes (Supplemental Table S4): the highest CO2 flux corresponds to a spring located just west of the stream and the second highest to the Crouse Limestone-Easly Creek Shale boundary, suggesting the importance of less-permeable units forcing groundwater discharge.

As a simplified analysis of this data, we consider the rate of changes in fluxes downstream of point sources in the same manner as one would consider the half-life of radioactive decay. We calculate these ‘decay rates’ using measurements provided at 1 and 2 m downstream of the point sources measured in the Eiss Limestone and assume a linear decay of the natural logarithms of the measurements, as the nature of the decay rate is not known. However, the measured data fit the linear functions with coefficients of determination of 0.96, 0.84, and 0.86, for August 2015, March 2016, and April 2016 measurements, respectively. We do not consider the Crouse Limestone due to the previously mentioned complexities in this thicker limestone unit. Using the values for the Eiss Limestone in Figure 4(b), the distance to reduce the CO2 flux by half for August 2015, March 2016, and April 2016 were 0.70 m, 1.57 m, and 1.54 m, respectively. It appears that this rate is dependent upon the initial flux rate at the point-source location, where a higher initial flux results in a shorter distance to reduce that flux by half. This analysis is clearly limited by the few data points and measurement locations, but we feel it provides an interesting direction for future research.

Repeat measurements at the same locations demonstrate the variability in CO2 flux at this site (Figure 3 and Table 2). Others have documented stream CO2 content that may be strongly influenced by diurnal, seasonal, and annual factors (e.g., Hotchkiss et al. 2015; Marx et al. 2018). We propose that flux variability results from variations in hydraulic connectivity, as well as weather-driven recharge and groundwater flow directions, which is consistent with the recent work by Duvert et al. (2018). Table 2 shows the variability in measurements for all locations where at least two measurements were made. For measurements in limestones with lower hydraulic conductivity (Morrill, Lower Eiss), coefficients of variation of CO2 flux are lower (1–53%) than those for limestones with higher hydraulic conductivity (Upper Eiss, Crouse; 52–155%).

An observed inverse relation between annual stream discharge and CO2 efflux (Figure 5) suggests a link to watershed recharge dynamics, with less recharge allowing buildup of soil and/or groundwater CO2 and subsequent discharge to the stream resulting in higher CO2 efflux. The variation in groundwater CO2 (Macpherson et al. 2008), where highest CO2 occurs from September to November and lowest in February to April, is not reflected in the stream CO2 efflux data we collected. A systematic investigation of temporal trends in stream CO2 efflux seems necessary to relate seasonal groundwater CO2 levels to flux data at point sources along the stream. This is consistent with the recent work by Wallin et al. (2020), which linked stream intermittency with variations in CO2 dynamics. Note that because the aquifers at this site are limestones, the stream can be gaining or losing depending on recent recharge: at the high stream stage, the degassed stream water will enter the aquifer at the point sources and then later discharge within the same geologic unit at low stream stage (e.g., Pomes 1995; Macpherson & Sophocleous 2004), further complicating interpretation of CO2 flux dynamics. This phenomenon is likely not unique to karst systems, but is possible whenever there are large changes in the stream stage (Winter et al. 1998).
Figure 5

Sum of annual stream discharge (filled triangles, plotted at mid-year dates) and CO2 flux (open squares) measured multiple times at one location (WP-3) on the stream. The higher March 2016 flux represents the average of two measurements taken on a single day; coefficient of variation for that dataset is 3%, which is smaller than the symbol size.

Figure 5

Sum of annual stream discharge (filled triangles, plotted at mid-year dates) and CO2 flux (open squares) measured multiple times at one location (WP-3) on the stream. The higher March 2016 flux represents the average of two measurements taken on a single day; coefficient of variation for that dataset is 3%, which is smaller than the symbol size.

Close modal

The k600 values ranged over two orders of magnitude, from ∼0.0002 to ∼0.02 m d−1 (Supplemental Table S4). Excluding the highest k600, which was measured at the Crouse spring (WP-17), the range lowers to one order of magnitude (∼0.0002 to ∼0.008), within the range of other k600’s measured in other headwater streams with low stream velocities (e.g., Rawitch et al. 2021).

Spatial and temporal variability of δ13C-CO2

During the 2-m trials, most gas samples showed an inverse relationship between δ13C-CO2 and CO2 flux (Figures 3 and 4). Over the 2-m distance downstream of point sources, isotopic signatures are higher by ∼5–7‰ (Figure 4). Many have proposed that carbon isotope exchange with atmospheric CO2 (δ13C ∼ −8‰) is partly responsible for increasing downstream δ13C values measured in streams and rivers (Taylor & Fox 1996; Yang et al. 1996; Atekwana & Krishnamurthy 1998; Karim & Veizer 2000; Hélie et al. 2002; Mayorga et al. 2005). However, isotopic equilibrium between dissolved CO2 and atmospheric CO2 can only be attained after the equilibrium of CO2 concentration between atmosphere and stream/river water (Doctor et al. 2008). Thus, if a drive for CO2 flux from water to the atmosphere exists, as observed in this study, fractionation of δ13C-CO2 will be primarily affected by gas efflux, rather than the carbon isotope exchange that accompanies carbon mixing. The observed depletion in 12C during degassing therefore supports the hypothesis proposed by Doctor et al. (2008) and Venkiteswaran et al. (2014) that fractionation in the isotopic composition of DIC or CO2 is driven by the process of gas transfer from stream to atmosphere, rather than mixing of CO2 between the stream and atmosphere.

With two exceptions, CO2 efflux rates show moderate (R2 = 0.4 to 0.6) negative Pearson correlation coefficients with δ13C-CO2 (Figure 6; R2 = 0.5, p < 0.0001); the exceptions are two events with the highest flux rates. This lack of overall correlation indicates that the flux rate is an unreliable predictor of δ13C-CO2, particularly when high-flux rates are present. This contrasts with the results from a sandy lowland watershed with more continuous groundwater discharge (Deirmendjian & Abril 2018) and indicates that the ability of the flux rate to predict δ13C-CO2 has upper limits on the flux rate used.
Figure 6

All but the two highest flux measurements show a significant, negative correlation with δ13C-CO2.

Figure 6

All but the two highest flux measurements show a significant, negative correlation with δ13C-CO2.

Close modal
We propose that the δ13C-CO2 at point sources is controlled by processes other than the flux rate. We suggest the controls include the supply of CO2 to groundwater from soil (e.g., Andrews & Schlesinger 2001; Kessler & Harvey 2001; Macpherson et al. 2008; Tsypin & Macpherson 2012), vegetation type, variation in precipitation and streamflow, and degree of interaction with the limestone aquifers. The main sources of soil CO2 are root respiration and microbial oxidation of organic C (Kuzyakov & Domanski 2000; Cisneros-Dozal et al. 2006; Wen et al. 2021). Thus, δ13C-CO2 in the soil atmosphere should reflect overlying vegetation. At this site, there are both C3 plants (generally −27‰) and C4 plants (generally −13‰); their isotope ratio is also affected by the moisture content, temperature (Brown et al. 2009), recharge timing (Brookfield et al. 2017), and other factors related to vegetation functioning (e.g., Cernusak et al. 2013). The δ13C-CO2 in stream gas samples, for those closest to the point sources, should relate to groundwater δ13C-DIC, groundwater travel distance (degree of reaction with the limestone), and nearby vegetation type assuming soil CO2 continues to be added to groundwater as it approaches the stream (Figure 7). Enrichment in 13C caused by dissolved CO2 reacting with the marine limestone aquifer material will have the greatest effect on δ13C in the groundwater that has traveled longer distances and moves slower (low-hydraulic conductivity units or lower hydraulic conductivity portions of units). At the study site, a mixture of woody plants and grasses are found above and near the Crouse Limestone, Stearns Shale, and Morrill Limestone reaches, while Eiss Limestone locations are located in a densely wooded riparian zone. The mean δ13C-CO2 values within 1–2 m of discharge locations in stream reaches underlain by the Eiss Limestone and the Crouse Limestone were −21.0 ± 2.3‰ (V-PDB) and −14.7 ± 0.0 ‰ (V-PDB), respectively, reflecting the nearby vegetation (Figure 8).
Figure 7

Representation of stable carbon isotope ranges for carbon reservoirs at the study site.

Figure 7

Representation of stable carbon isotope ranges for carbon reservoirs at the study site.

Close modal
Figure 8

Carbon isotope ratios of CO2 efflux from stream water. Point sources are plotted for Upper Eiss (sampling month and year indicated) and Lower Eiss; stream reaches with no identified point sources include Stearns and Morrill. The lightest Crouse value is from the spring, which is just west of the stream; the other Crouse values are from downstream locations underlain by the Crouse.

Figure 8

Carbon isotope ratios of CO2 efflux from stream water. Point sources are plotted for Upper Eiss (sampling month and year indicated) and Lower Eiss; stream reaches with no identified point sources include Stearns and Morrill. The lightest Crouse value is from the spring, which is just west of the stream; the other Crouse values are from downstream locations underlain by the Crouse.

Close modal

The largest number of measurements in a single geologic unit, point sources in the Upper Eiss Limestone (Figure 8), demonstrates variable weather and climate. Moisture, as reflected by precipitation and streamflow, is a primary control, as it affects the flux direction across the groundwater–surface water interface, residence times (reactions times), and plant functioning. Further, the general direction of groundwater flow at Konza has been shown to be opposite of the streamflow direction in the Morrill, but the same as streamflow in the Eiss (Sullivan et al. 2020). The variation in CO2 flux and isotopic values measured in the Eiss further illustrate the complexity of characterizing CO2 flux in headwater streams with: (1) thin limestone aquifers, with and without point sources; (2) large interannual variations in total meteoric precipitation and in timing of meteoric precipitation; and (3) large interannual variations in stream discharge. This is consistent with the study by Duvert et al. (2018) who found that CO2 evasion is heavily influenced by spatial heterogeneities in the surface and subsurface. Recent work also highlights the influence of temporal variability in hydrogeologic and hydrologic conditions on CO2 evasion, particularly through changes in the interactions between surface and subsurface and their respective responses to meteorology (Duvert et al. 2018; Marx et al. 2018).

The difference between CO2 flux and δ13C-CO2 collected from the Upper Eiss in 2015 and 2016 and the Crouse in 2016 illustrates the effect of hydrologic response to meteorology and limestone heterogeneity. In drier years, e.g., 2015 (preceded by an even drier year in 2014; Supplemental Table S5), groundwater residence time is longer and the buildup of CO2 in groundwater is evidenced as higher CO2 in point sources discharging to the stream. Higher water tables in wetter years reduce the distance between the surface and water table, with a wetter vadose zone increasing the unsaturated hydraulic conductivity, lowering groundwater residence time (Brookfield et al. 2017; Hatley et al. 2023).

This study examines the timing and extent of CO2 transport from shallow aquifers to the atmosphere and supports findings from similar studies that headwater streams are significant contributors to local and regional carbon cycling. At Konza, 45 measurements of CO2 efflux were taken at 18 different locations along a headwater stream. The spatial variability of CO2 flux along the 1.1-km stream segment reflects the underlying merokarst geology and the rapid decrease in CO2 flux downstream of point sources of discharge. Point sources, detected by water temperature, were only observed in reaches underlain by limestones; at point sources, CO2 flux measured 2 m downstream from the point source ranged from 3 to 40% of the point-source flux, regardless of the magnitude of the point-source CO2 flux.

The stable isotopic composition of CO2 (δ13C-CO2) was studied as a potential tracer of groundwater influx and predictor of CO2 efflux rate. Lower δ13C-CO2 values were often accompanied by larger CO2 fluxes, but the inverse relationship is not predictive, likely because disequilibrium between stream CO2 and atmospheric CO2 is the main driver of efflux. Thus, δ13C-CO2 can be a reliable indicator of groundwater discharge into a stream where a high contrast in partial pressure of CO2 exists between groundwater and stream water, but it is not a reliable indicator of the CO2 efflux rate.

The large range of CO2 fluxes and δ13C-CO2 values observed over small spatial extents reinforces the importance of point-source measurements in headwater streams, especially in those areas where karst, or other preferential flow paths, controls groundwater flow. Hence, large-scale investigations of stream degassing based on tracer tests or mass balance equations may overlook significant CO2 contributions. The suspended chamber proved to be a simple and effective method for collecting measurements of CO2 flux directly from the stream surface. This study provides additional reasons to consider shallow aquifers and headwater streams when accounting for carbon sinks and sources on local, regional, and global scales.

Climate and stream discharge datasets were provided by the Climate and Hydrology Database Projects (http://climhy.lternet.edu/), a partnership between the Long-Term Ecological Research program and the US Forest Service Pacific Northwest Research Station, Corvallis, Oregon. Significant funding for these data was provided by the National Science Foundation Long-Term Ecological Research program and the USDA Forest Service. B. S. N. and G. L. M. are grateful for support from the Konza Prairie LTER program (DEB-0823341 and DEB-1440484), the Geology Associates Fund of the KU Endowment Association, and the KU Department of Geology. A portion of coauthor PLS's time was supported by NSF EAR 2024388. B. S. N. thanks Mike Rawitch, Trevor Osorno, Emily Barry, Mackenzie Creamens, and Brooks Bailey for field assistance and consultation.

All relevant data are included in the paper or its Supplementary Information.

The authors declare there is no conflict.

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