This ongoing project examines important environmental variables related to wetland methane emissions at 1°x1° grid cell level over the past twenty years, utilizing more than 30 models from the Global Methane Budget effort and machine learning algorithms. The results are highly valuable for understanding the global wetland methane budget under the changing climate and for determining policy implications for wetland management and restoration. Related work has been published in Environmental Research Letters (Jackson et al. 2024).

This study examines how environmental predictors, including temperature (air and soil), latent heat and solar radiation, influence the fluxes of CH4 and CO2 from various types of wetlands globally. We find that when air temperatures exceed normal levels, the factors influencing wetland CH4 and CO2 fluxes can change. For example, in mid-latitude marshes, soil temperature and water table depth become more important during warmer periods than under normal conditions. These findings demonstrate that the environmental controls on wetland greenhouse gas fluxes shift in a complex way with warming. This work was recently published in AGU Earth's Future.

In this work, we combine remote sensing observations with atmospheric and wetland models to investigate dry-season wetland CH4 emissions from the Pantanal region of South America. We estimate large dry-season emissions that are 2-3 times higher than current models, suggesting that annual wetland emissions in tropical regions may be higher than traditionally simulated. This work has been published in Environmental Science & Technology. Another related work has been published in Water Resources Research. 

This study provides high-quality and long-term northern hemispheric ethane, propane, and methane data from airborne observation in the upper troposphere-lower stratosphere (UTLS) region. We apply multiple methods to study the 11-year trends and variability of these important atmospheric gases over five regions (Europe, North America, etc.). This work has been published in Earth System Science Data.