DOE OSTI · 2525880
Using probability distribution function as a scaling approach to incorporate soil heterogeneity into biogeochemical models for greenhouse gas predictions (Final Technical Report)
Abstract
The project investigated biogeochemical processes at terrestrial-aquatic interfaces (TAIs), focusing on soil microsite heterogeneity and its impact on greenhouse gas (GHG) fluxes. Using laboratory experiments, modeling, and data integration, researchers explored redox-driven microbial processes under fluctuating hydrological conditions. Key advancements included modifying the DAMM-GHG model to incorporateelectron acceptor availability and enhancing the AquaMEND model for improved microbial metabolism representation. Results highlighted microsite redox variability as a key driver of GHG fluxes, informing Earth system models. The project fostered interdisciplinary collaborations, student training, and the development of novel modeling frameworks to improve Earth'senergy budget.
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Sihi, Debjani [Emory Univ., Atlanta, GA (United States); North Carolina Central Univ., Raleigh, NC (United States)] (ORCID:0000000255138862), Zheng, Jianqiu [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)], Davidson, Eric [Univ. of Maryland, College Park, MD (United States). Center for Environmental Science], Weintraub, Michael [University of Toledo, Toledo, OH (United States)], Megonigal, Patrick [Smithsonian Environmental Research Center, Edgewater, MD (United States)]. 2025-03-03. Using probability distribution function as a scaling approach to incorporate soil heterogeneity into biogeochemical models for greenhouse gas predictions (Final Technical Report). https://doi.org/10.2172/2525880
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