Contrasting Carbon-Water-Energy Dynamics in Perennial and Annual Bioenergy Agroecosystems Using Eddy Covariance and Interpretable Machine Learning

Themes: Sustainability

Keywords: AI/ML, Carbon, Ecosystem Flux, Perennial Bioenergy Grasses, Water Use Efficiency

Yi, K., Benson, M.C., Peterson, T.L., Bernacchi, C.J. June 19, 2026. “Contrasting Carbon-Water-Energy Dynamics in Perennial and Annual Bioenergy Agroecosystems Using Eddy Covariance and Interpretable Machine Learning.” Global Change Biology Bioenergy. DOI: 10.1111/gcbb.70156.