EGU24-10588, updated on 08 Mar 2024
https://doi.org/10.5194/egusphere-egu24-10588
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Peatland GHG emissions estimated with redox potential

Jim Boonman1, Sarah Faye Harpenslager2,3, Duygu Tolunay4, Alexander Buzacott1, Merit van den Berg1, Gijs van Dijk2,3, Alfons Smolders2,3, Mariet Hefting5, and Ype van der Velde1
Jim Boonman et al.
  • 1Vrije Universiteit Amsterdam, Faculty of Science, Earth Sciences, Amsterdam, Netherlands (j.boonman@vu.nl)
  • 2B-WARE Research Centre, 6525 ED, Nijmegen, The Netherlands
  • 3Aquatic Ecology and Environmental Biology, Radboud Institute for Biological and Environmental Sciences, Radboud
  • 4Ecology and Biodiversity, Institute of Environmental Biology, Utrecht University, Utrecht, 3584 CH, the Netherlands
  • 5(Amsterdam Institute of Life Science and Environment) A-LIFE Section Systems Ecology, Vrije Universiteit Amsterdam, Amsterdam, 1081 HV, The Netherlands

Peat decomposition processes account for ~2% of the annual anthropogenic greenhouse gas emissions (GHG). The rate of microbial peat respiration is determined by temperature, the quality and abundancy of organic matter, moisture and electron acceptor (such as O2, Fe[III], SO42-) availability. The redox potential and pH reflect the chemical state of the soil and are an indicator for biogeochemical metabolic processes that occur within the soil. Here, we introduce a novel methodology to estimate peatland GHG emission (CO2 and CH4) by linking soil temperature and redox potential over time and depth with aerobic and anaerobic CO2 and CH4 incubation fluxes. Soil metabolic processes (at 0.1, 0.3, 0.5, 0.7 and 0.9 m depth) were classified based on the redox potential and pH. Individual rates of CO2 and CH4 emission (based on newly acquired and literature lab incubation data) were assigned to aerobic, anaerobic and methanogenic metabolic processes and were multiplied by a soil temperature factor relying on a Q10 relation. The estimated GHG emissions were compared with measured eddy covariance and automated transparent chamber GHG fluxes, both on short and long timescales for various agriculturally managed or semi-natural minerotrophic peatlands in the Netherlands. Our results indicate that seasonal patterns in GHG emissions are well captured by our approach. Moreover, estimations of short term (< 1 week) GHG dynamics matched measured GHG fluxes well for research locations with high methane emission. During our presentation we elaborate upon new results and discuss the suitability to indirectly determine peatland GHG emissions by measuring the soil redox potential.

How to cite: Boonman, J., Harpenslager, S. F., Tolunay, D., Buzacott, A., van den Berg, M., van Dijk, G., Smolders, A., Hefting, M., and van der Velde, Y.: Peatland GHG emissions estimated with redox potential, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-10588, https://doi.org/10.5194/egusphere-egu24-10588, 2024.