Extracting peat oxidation from ecosystem respiration with the PEATLAND-VU model
- VU University, Department of Earth sciences, Hydrology, Amsterdam, Netherlands (y.vander.velde@vu.nl)
Measuring carbon dioxide (CO2) exchange between ecosystem and atmosphere is a widely used method to determine peat oxidation from drained peat soils. The net ecosystem carbon balance (NECB), which is the net CO2 flux over a year with accounting for harvest (C-export), is taken as an estimate for peat oxidation. This might be the case if the short-term carbon cycle, dominated by vegetation, is in balance within one year. Carbon processes are, however, often complex determined by weather conditions and interactions between different carbon pools. To better estimate the contribution of the soil carbon pools, including peat oxidation, to the measured CO2 fluxes within a season or a year, a reliable model is needed.
PEATLAND-VU is a 1D process based model, consisting of four submodels for 1) soil physics (water table, soil temperature and soil moisture), 2) biomass production, 3) CH4 production, oxidation and transport, and 4) CO2 production. CO2 production is the sum of decomposition from different soil organic matter (SOM) pools, like litter, root exudates, microbial biomass and peat. We improved the PEATLAND-VU model and calibrated it for two intensively used drained peat meadows in the Netherlands, that are equipped with sensors for measuring continuously CO2 fluxes and all environmental variables related to that. These sites have a reference field and a field with elevated groundwater level.
In this presentation, we discuss the model performance on these sites. We will show the contribution of the different sources to the ecosystem respiration, and how the modelled peat oxidation relates to the measured NECB.
How to cite: van der Velde, Y., van der Berg, M., Boonman, J., Lippman, T., and van Huissteden, J.: Extracting peat oxidation from ecosystem respiration with the PEATLAND-VU model, EGU General Assembly 2023, Vienna, Austria, 23–28 Apr 2023, EGU23-16463, https://doi.org/10.5194/egusphere-egu23-16463, 2023.