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Experimental Column Setup for Studying Anaerobic Biogeochemical Interactions Between Iron OxyHydroxides, Trace Elements, and Bacteria

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Circumventing kinetics in biogeochemical modeling.

Stilianos Louca^1,2, Mary I Scranton³, Gordon T Taylor³

¹Institute of Ecology and Evolution, University of Oregon, Eugene, OR 97403; louca.research@gmail.com.

Proceedings of the National Academy of Sciences of the United States of America

|May 18, 2019

Summary

This summary is machine-generated.

Biogeochemical fluxes in poorly mixed ecosystems are predictable using transport properties and stoichiometry, not microbial kinetics. This modeling framework works even without knowing microbial details or specific chemical profiles.

Keywords:

geobiology marine anoxic region microbial system reaction kinetics redox gradient

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Area of Science:

Geochemistry
Microbiology
Ecosystem Modeling

Background:

Microbial metabolism is key to biogeochemical cycles, but modeling is difficult due to unknown microbial kinetics.
In poorly mixed environments, physical transport rates can limit microbial metabolism and influence biogeochemical fluxes.

Purpose of the Study:

To develop a predictive modeling framework for biogeochemical fluxes in poorly mixed ecosystems.
To demonstrate that fluxes can be predicted from transport properties and stoichiometry, independent of microbial kinetics.

Main Methods:

Developed a mathematical model linking physical transport, chemical boundary conditions, and metabolic stoichiometry.
Applied the framework to the Cariaco Basin using boundary concentration data.
Predicted chemical depth profiles and vertical fluxes of key substances.

Main Results:

Model predictions for oxygen, nitrate, sulfide, and ammonium concentrations showed strong agreement with 14 years of measurements (R² = 0.78-0.92).
Predictions were particularly accurate during periods of biogeochemical steady state (R² = 0.86-0.95).
The model successfully predicted chemical depth profiles and fluxes without a priori kinetic or species composition data.

Conclusions:

Biogeochemical fluxes in certain ecosystems are predictable based on physical transport and stoichiometry, simplifying geobiological modeling.
This approach bypasses the need for detailed kinetic parameters or microbial community data.
Provides a potential explanation for the observed decoupling of microbial composition and bulk metabolic function.