Surface waters contribute substantially to carbon dioxide (CO₂) emissions to the atmosphere. However, global estimates remain uncertain due to methodological difficulties, such as in precisely ...estimating gas transfer in steep upland streams. Here, we addressed the question of what drives CO₂ evasion from steep mountainous stream network of the European Alps by assessing the spatial and temporal variation of partial pressure of CO₂ (pCO₂) for 148 streams and the gas transfer coefficient for CO₂ (k
CO2) for 88 locations within this 254 km² watershed. Results show that log kCO2 can be predicted reasonably well (r² = 0.71, p<0.001, n = 88) using a statistical model based on slope, average width, flow velocity and stream discharge. Also, most sites were supersaturated in CO₂ with significant variation in pCO₂ due to season (September vs. December) and time of day (day vs. night), but not stream order. Resulting median CO₂ evasion rates were 145, 119, 46, 43, and 50 mg C m−2 h−1 at 1st to 5th order streams, respectively. CO₂ evasion was dependent on season and time of day, with the highest evasion (184.0 kg C h−1) during growing season at nighttime, followed by 124.6 kg C h−1 during daytime. Dormant season nighttime evasion was 30.9 kg C h−1 and daytime evasion only 17.1 kg C h−1. Overall we conclude that CO₂ evasion of steep mountainous streams depends on seasonal and diurnal variation in pCO₂ and reach-specific variability in k
CO2. These controls strongly alter landscape-scale CO₂ evasion estimates, with implications for regional to global carbon budgets.
Surface waters contribute substantially to carbon dioxide (CO sub(2)) emissions to the atmosphere. However, global estimates remain uncertain due to methodological difficulties, such as in precisely ...estimating gas transfer in steep upland streams. Here, we addressed the question of what drives CO sub(2) evasion from steep mountainous stream network of the European Alps by assessing the spatial and temporal variation of partial pressure of CO sub(2) (pCO sub(2)) for 148 streams and the gas transfer coefficient for CO sub(2) (k sub(CO2)) for 88 locations within this 254 km super(2) watershed. Results show that log k sub(CO2) can be predicted reasonably well (r=0.71, p<0.001, n=88) using a statistical model based on slope, average width, flow velocity and stream discharge. Also, most sites were supersaturated in CO sub(2) with significant variation in pCO sub(2) due to season (September vs. December) and time of day (day vs. night), but not stream order. Resulting median CO sub(2) evasion rates were 145, 119, 46, 43, and 50 mg C m super(-2) h super(-1) at 1 super(st) to 5 super(th) order streams, respectively. CO sub(2) evasion was dependent on season and time of day, with the highest evasion (184.0 kg C h super(-1)) during growing season at nighttime, followed by 124.6 kg C h super(-1) during daytime. Dormant season nighttime evasion was 30.9 kg C h super(-1) and daytime evasion only 17.1 kg C h super(-1). Overall we conclude that CO sub(2) evasion of steep mountainous streams depends on seasonal and diurnal variation in pCO sub(2) and reach-specific variability in k sub(CO2). These controls strongly alter landscape-scale CO sub(2) evasion estimates, with implications for regional to global carbon budgets.
