This project is also part of Duke’s first Climate+ cohort.
A team of students led by researchers in the Hydroclimatological Lab will comprehensively quantify the wetland carbon emissions in the entire Southeast (SE) US using machine learning techniques and various climate datasets—including in situ measurements, remote sensing data, climate observations, and hydrological model (PIHM-Wetland) outputs. Students will first apply machine learning techniques to establish the relationship between hydroclimatological variables and wetland carbon emissions at observational sites. Spatial distributed carbon emissions from the entire SE US wetland ecosystems will be created afterwards. Based on the current climate analysis, future wetland carbon emissions will be predicted in a warming climate. This research will better assess wetland carbon emissions over the entire Southeast and provide critical information on future carbon budgets on regional scales.
Project Lead: Wenhong Li
Project Manager: Keqi He
Watch the team’s final presentation below:
