Unpacking drivers of heterotrophic N2 fixation across aquatic redox gradients: A mathematical model with bioenergetic and stoichiometric constraints

• Heterotrophic N 2 fixation modeled with stoichiometric, bioenergetic, and physiological constraints. • Sensitivity analysis indicates energy acquisition and respiratory efficiency as key controls. • Diazotrophy under N-replete conditions triggered by high resource C:N and C richness. • N 2 fixation under anoxia/eutrophia had minor contribution to N demand but high rates. • Model provides framework to investigate cell-level controls on diazotrophy across redox-gradients. N 2 fixation by aquatic organoheterotrophs supplies bioavailable nitrogen to the biosphere and thereby supports ecosystem production; yet the factors which drive this activity are poorly understood. Here, we present a generalized chemostat model to investigate stoichiometric and energetic constraints on free-living heterotrophic diazotrophs across gradients in redox state, resource quantity/quality, and resource stoichiometry. The model couples nutrient uptake and allocation functions to predict elemental fluxes with an energy dissipation model to calculate growth efficiency. After constraining model parameters with relevant culturing (e.g., Azotobacter ) and environmental literature, we assessed model sensitivity to these parameters using Latin Hypercube Sampling and the statistical Partial Rank Correlation Coefficient technique. Consistent with the limited observational data available, the results showed energy acquisition and respiratory efficiency as two major controls on N 2 fixation. The model predicted the presence of N 2 fixation under both N-limiting and N-replete conditions, as seen in nature. N 2 fixation under N-replete conditions increased with increasing resource C:N, and was least sensitive to exogenous N under eutrophic conditions with an energy-rich C source. While N 2 fixation under N-replete conditions represented a relatively small (<4 %) contribution to community N demand, absolute rates under these conditions were on par with field observations under N-limitation due to higher overall heterotrophic production rates. Resolving physiological, stoichiometric, and energetic constraints on diazotrophic growth, this model unpacks drivers of N 2 fixation by metabolically diverse heterotrophs.

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Publication Details

Journal
Ecological Modelling
Published
2025-12-19
DOI
https://doi.org/10.1016/j.ecolmodel.2025.111454
Primary Topic
Marine and coastal ecosystems
Type
article
Field-Weighted Citation Impact
0.00
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article

Unpacking drivers of heterotrophic N2 fixation across aquatic redox gradients: A mathematical model with bioenergetic and stoichiometric constraints

James Powell, Edwin Cruz‐Rivera, Halvor M. Halvorson, Luca Schenone et al.
Ecological Modelling
Marine and coastal ecosystems
article

Unpacking drivers of heterotrophic N2 fixation across aquatic redox gradients: A mathematical model with bioenergetic and stoichiometric constraints

James Powell, Edwin Cruz‐Rivera, Halvor M. Halvorson, Luca Schenone, Keisuke Inomura, Angela Peace, Megan E. Berberich, Renn Schipper, Amy Marcarelli, Rebecca A. Everett, J. Thad Scott, Corday R. Selden, Robinson W. Fulweiler
article en

Abstract

• Heterotrophic N 2 fixation modeled with stoichiometric, bioenergetic, and physiological constraints. • Sensitivity analysis indicates energy acquisition and respiratory efficiency as key controls. • Diazotrophy under N-replete conditions triggered by high resource C:N and C richness. • N 2 fixation under anoxia/eutrophia had minor contribution to N demand but high rates. • Model provides framework to investigate cell-level controls on diazotrophy across redox-gradients. N 2 fixation by aquatic organoheterotrophs supplies bioavailable nitrogen to the biosphere and thereby supports ecosystem production; yet the factors which drive this activity are poorly understood. Here, we present a generalized chemostat model to investigate stoichiometric and energetic constraints on free-living heterotrophic diazotrophs across gradients in redox state, resource quantity/quality, and resource stoichiometry. The model couples nutrient uptake and allocation functions to predict elemental fluxes with an energy dissipation model to calculate growth efficiency. After constraining model parameters with relevant culturing (e.g., Azotobacter ) and environmental literature, we assessed model sensitivity to these parameters using Latin Hypercube Sampling and the statistical Partial Rank Correlation Coefficient technique. Consistent with the limited observational data available, the results showed energy acquisition and respiratory efficiency as two major controls on N 2 fixation. The model predicted the presence of N 2 fixation under both N-limiting and N-replete conditions, as seen in nature. N 2 fixation under N-replete conditions increased with increasing resource C:N, and was least sensitive to exogenous N under eutrophic conditions with an energy-rich C source. While N 2 fixation under N-replete conditions represented a relatively small (<4 %) contribution to community N demand, absolute rates under these conditions were on par with field observations under N-limitation due to higher overall heterotrophic production rates. Resolving physiological, stoichiometric, and energetic constraints on diazotrophic growth, this model unpacks drivers of N 2 fixation by metabolically diverse heterotrophs.

Ecological ModellingVol. 513
Openalex Percentile: Top 60%
Marine and coastal ecosystems
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