10 citations as recorded by crossref.

1. Spatiotemporal patterns of methane fluxes across alpine permafrost region on the Tibetan Plateau L. Huang et al. https://doi.org/10.1038/s41467-025-62699-6
2. Optimized wetland rewetting strategies can control methane, carbon dioxide, and oxygen responses to water table fluctuations B. Zhao et al. https://doi.org/10.1038/s43247-025-03163-7
3. CH4 emissions from Northern Europe wetlands: compared data assimilation approaches G. Monteil et al. https://doi.org/10.5194/acp-25-14251-2025
4. Contrasting roles of ground, trees, ponds and grazing in carbon dioxide, methane and nitrous oxide fluxes of an African semi-arid savanna A. Wieckowski et al. https://doi.org/10.1016/j.agee.2025.110199
5. Leveraging TROPOMI observations and WRF-GHG modeling towards improving methane emission assessments in India T. Mathew et al. https://doi.org/10.5194/acp-26-4453-2026
6. A global dataset of δ13C-CH4 source signatures and associated uncertainties (1998–2022), with a sensitivity analysis to support isotopic inversions E. Tapin et al. https://doi.org/10.5194/essd-18-4793-2026
7. Machine-learning-based estimates of global natural vegetated wetland methane emissions (2000–2025) M. Li et al. https://doi.org/10.5194/essd-18-3507-2026
8. Exploring the potential of using L-band InSAR for mapping flooded vegetation in tropical wetlands C. Hübinger et al. https://doi.org/10.1016/j.rse.2025.115086
9. A top-down evaluation of bottom-up estimates to reduce uncertainty in methane emissions from Arctic wetlands L. Basso et al. https://doi.org/10.5194/bg-23-2815-2026
10. Greenhouse gas flux measurements in wetlands D. Bastviken et al. https://doi.org/10.1016/j.oneear.2026.101743