Prediction of Distributed River Sediment Respiration Rates Using Community‐Generated Data and Machine Learning

• Published in: Journal of geophysical research. Machine learning and computation Vol. 1; no. 3
• Main Authors: Gary, Stefan F., Scheibe, Timothy D., Rexer, Em, Torreira, Alvaro Vidal, Garayburu‐Caruso, Vanessa A., Goldman, Amy, Stegen, James C.
• Format: Journal Article
• Language: English
• Published: United States Wiley 01.09.2024
• Subjects: ecosystem; ENVIRONMENTAL SCIENCES; feature importance; machine learning; prediction; respiration; river sediment

River sediment microbial respiration is a key indicator of ecosystem functioning and the biogeochemical fluxes across this critical zone link surface and subsurface waters. As such, there is tremendous interest in measuring and mapping these respiration rates. Respiration observations are expensive...