Vanessa A. Garayburu‐Caruso

The paper evaluates a process-based model for predicting stream ecosystem respiration (ERtot) in the Yakima River basin and finds it fails to explain spatial variation, highlighting the importance of sediment-associated respiration and other factors.

The paper uses AI to iteratively improve environmental predictions by combining field sampling with machine learning, significantly enhancing sediment oxygen consumption forecasts across the U.S.

The paper links geochemistry and microbial functional potential to organic matter development across seven rivers using DOM characterization, geochemical analyses, and shotgun metagenomics.

This paper introduces a new biogeochemical modeling approach that explicitly represents organic matter thermodynamics to improve predictions of microbial degradation processes and their environmental impacts.