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Abstract: A Machine Learning Approach for Inferring Methane Fluxes from Vegetation Traits Across Diverse Wetland Types (AGU25)

A Machine Learning Approach for Inferring Methane Fluxes from Vegetation Traits Across Diverse Wetland Types

Emmanuel Kaiser-Veyrat1, Brandon Alveshere2, Lisa Haber2, Kayla Preisler3 and Christopher Michael Gough4, (1)Cornell University, Ithaca, NY, United States, (2)Virginia Commonwealth University, Biology, Richmond, United States, (3)University of Arizona, Hydrology and Atmospheric Sciences, Tucson, United States, (4)Virginia Commonwealth University, Biology, Richmond, VA, United States
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