EGU26-8675, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-8675
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Wednesday, 06 May, 14:00–15:45 (CEST), Display time Wednesday, 06 May, 14:00–18:00
 
Hall X5, X5.67
Tropical wetland methane emissions and trends (2004–2023) inferred from Landsat-based inundated vegetation data
Zichong Chen, Daniel Jacob, Haipeng Lin, Nicholas Balasus, Sarah Hancock, Lucas Estrada, James East, Yuzhong Zhang, Xiaolin Wang, Megan He, Mengyao Liu, and Daniel Varon
Zichong Chen et al.
  • (zchen1@g.harvard.edu)

The role of tropical wetlands in the rise of atmospheric methane over the past two decades remains unclear. Current models define wetlands by surface water coverage, not making the distinction between high-emitting inundated vegetation and much weaker-emitting open water areas of wetlands. Here we use 30-m Landsat satellite data to identify tropical inundated vegetation, and combine it with chamber- and flux tower-derived emission intensities per unit wetland area to produce a Wetland Methane Emission Inventory (WMEI) at 0.1o ×0.1o spatial resolution and quarterly temporal resolution for 2004-2023. We find that tropical wetland emissions increased steadily by 16.3 Tg a-1 or 18% over the 2004-2023 period, with contributions from Africa (11.3 Tg a-1) and Asia (5.0 Tg a-1) and no net increase from South America. Tropical wetlands thus account for 21% of the global methane rise over that period though they do not appear to have contributed significantly to the 2020-2022 methane surge. The long-term trend and interannual variability of wetland emissions correlates strongly with vegetation activity as measured by solar-induced fluorescence (SIF) but not with temperature or precipitation.

How to cite: Chen, Z., Jacob, D., Lin, H., Balasus, N., Hancock, S., Estrada, L., East, J., Zhang, Y., Wang, X., He, M., Liu, M., and Varon, D.: Tropical wetland methane emissions and trends (2004–2023) inferred from Landsat-based inundated vegetation data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8675, https://doi.org/10.5194/egusphere-egu26-8675, 2026.