This manuscript studies the potential of paludiculture to reduce greenhouse gas emissions (GHG) in rewetting peatlands. Results showed that the potential to mitigate GHG emissions could be maximized in nutrient enriched areas, while in low nutrient areas it might be more beneficial not to harvest the biomass. Results also showed that peatland heterogeneity and water table dynamics should be considered to accurately estimate emissions from rewetting peatlands.

This study demonstrates that incorporating both temperature and temporal variability in water level in emission models significantly influences CO₂ emission from peat soil. Especially the co-occurrence of elevated air temperature and low groundwater table significantly influence CO₂ emissions under scenarios of rewetting and climate change.

Quantifying greenhouse gas emissions from wetlands are a crucial for improved climate mitigation. Our data of CO₂, CH₄, and N₂O fluxes, measured with a high-precision system, shows that the exchange with the atmosphere is surprisingly dynamic over time and space where both long and short-term fluctuations of temperature and groundwater collectively shape both monthly to hourly scales. These data helps us important for our fundamental understanding, but also in developing models.