EGU25-13596, updated on 15 Mar 2025
https://doi.org/10.5194/egusphere-egu25-13596
EGU General Assembly 2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Wednesday, 30 Apr, 11:05–11:15 (CEST)
 
Room L1
The Global Importance of CO2 and CH4 Emissions from Ponds: A Large-Scale Data Perspective
Jovana Radosavljevic1, Ali Reza Shahvaran1, Fereidoun Rezanezhad1,2, Elodie Passeport3,4,5, Stephanie Slowinski1, and Philippe Van Cappellen1,2
Jovana Radosavljevic et al.
  • 1University of Waterloo, Earth and Environmental Sciences, Waterloo, Canada
  • 2Water Institute, University of Waterloo, Waterloo, Canada
  • 3Department of Civil and Mineral Engineering, University of Toronto, Toronto, Canada
  • 4Department of Chemical Engineering and Applied Chemistry, University of Toronto, Toronto, Canada
  • 5Department of Environmental Sciences, Rutgers University, New Jersey, USA

Inland waters, including small lakes and ponds, play a major role in the global carbon cycle. While they typically act as organic carbon sinks, they also emit the greenhouse gases (GHGs) carbon dioxide (CO2) and methane (CH4) to the atmosphere. Nonetheless, small inland waters, defined as those with a surface area (SA) of less than 5 hectares (further referred as “ponds”), are often excluded from large-scale CO2 and CH4 budgets. To help overcome this gap, we reviewed available global datasets on inland waters and selected G1WBM, GLCF GIW, GSW, and OSM, because these datasets provide sufficient information on ponds to assess their global distribution. We further compiled a dataset of CO2 and CH4 emissions plus water chemistry data from 950 ponds worldwide from existing literature and databases. Next, we applied a Monte Carlo analysis to the estimated surface areas and CO2 and CH4 emission ranges of ponds. The results suggest that ponds with SA < 1 ha emit 0.25–0.42 Pg C yr-1, and those of 1–5 ha emit 0.18–0.45 Pg C yr-1, accounting for up to 14 and 17%, respectively, of the total carbon gas emissions from all-sized lakes and ponds worldwide. Our estimates thus further highlight the potentially disproportionate, yet poorly constrained, importance of ponds in global GHG budgets. In addition to water chemistry data, we also extracted global gridded hydrometeorological and socio-economic data matched to each HydroBASIN-delineated basin of the 950 lakes. Using Random Forest regression (RFR) models, we found that pond water pH and watershed urbanization were the most important predictors of the CO2 emissions, while electrical conductivity (EC), SA, and pond depth were the most important variables for the CH4 emissions. The RFR modeling revealed that ponds in urban areas typically exhibit elevated pH levels, probably due to the ubiquitous use of cement-based construction materials. High pH levels, in turn, suppress CO2 emissions by retaining dissolved inorganic carbon under the form of aqueous bicarbonate (HCO3-). The role of non-sulfate-derived EC in modulating the CH4 emissions is attributed to the effect of salinity on the mixing intensity and the associated impact on water column oxygenation. Overall, our findings confirm the significant role of ponds in global carbon cycling. At the same time, they suggest that site-specific characteristics, including land use and water chemistry, can induce considerable variability in GHG emissions from ponds.

How to cite: Radosavljevic, J., Shahvaran, A. R., Rezanezhad, F., Passeport, E., Slowinski, S., and Van Cappellen, P.: The Global Importance of CO2 and CH4 Emissions from Ponds: A Large-Scale Data Perspective, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-13596, https://doi.org/10.5194/egusphere-egu25-13596, 2025.