Modeling methane flux reveals seasonal and diurnal sensitivity to temperature and water table depth.
Northern peatlands are key carbon reservoirs and natural sources of methane (CH 4 ). However, the environmental controls of CH 4 ‐related processes remain unclear, making modeling the emissions a challenge. In this study, we first evaluated the process‐based CoupModel with unique long‐term (2001–2023) in situ measurements from a pristine sedge‐dominated peatland in northern Sweden. Results show that the calibrated model can reproduce the hourly CH 4 fluxes ( r 2 = 0.63) and CO 2 flux, and the abiotic variations well. The CH 4 flux showed significant sensitivity (66% relative importance) to parameters related to CH 4 transport, followed by production and oxidation. We further showed that CH 4 fluxes respond to temperature and water table depth (WTD) with a seasonal hysteresis, suggesting a 35% higher temperature sensitivity during below‐average WTD compared to above‐average WTD, and a two times higher sensitivity of CH 4 to lowering WTD than to elevating WTD. The hourly growing‐season CH 4 fluxes response to temperature also displayed a hysteresis in the diurnal cycle, with nighttime CH 4 fluxes being 14%–23% higher than the daytime fluxes. We presented a CH 4 budget for the site and estimated the annual mean methane emissions from 2014 to 2023 to be 12.2 ± 1.2 gC/m 2 /yr, identifying the emissions predominantly contributed by diffusion. We conclude that CoupModel can effectively simulate the CH 4 emission and its controls for the northern pristine peatland. Our study reveals the importance of hysteresis in the response of methane fluxes to environmental changes and highlights the need for considering the temporal and hydrologic variability in CH 4 ‐temperature dependencies in peatland management.
No takes yet. Share an insight, caveat, or question.
Duan et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: