Redox-informed models of global biogeochemical cycles

Area of Science:

• Microbial Ecology
• Biogeochemistry
• Climate Modeling

Background:

• Microbial activity significantly influences greenhouse gas fluxes.
• Current global models inadequately represent diverse microbial metabolisms, focusing mainly on photosynthesis.
• This limits the accuracy of climate change projections.

Purpose of the Study:

• To propose a theoretically grounded framework for parameterizing diverse microbial metabolisms in global biogeochemical models.
• To integrate redox chemistry as a foundational principle for understanding microbial metabolic functions.
• To enhance the mechanistic representation of microbial contributions to Earth's systems.

Main Methods:

• Utilizing a first-principles approach based on redox chemistry.
• Dynamically deriving metabolic functional types from ecological interactions.
• Integrating this framework into global biogeochemical models.

Main Results:

• The proposed redox chemistry framework provides a unified approach to microbial metabolism.
• Ecological interactions dynamically determine the presence and function of microbial types.
• This approach expands the applicability of models to novel or unobserved environments.

Conclusions:

• A redox chemistry-based framework is essential for accurately modeling microbial impacts on greenhouse gas fluxes.
• Mechanistic representation of diverse microbial metabolisms improves climate change projections.
• This approach enhances the predictive power of Earth system models.