Articles | Volume 18, issue 3
https://doi.org/10.5194/bg-18-1185-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-18-1185-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
16 Feb 2021
Research article |
| 16 Feb 2021
| 16 Feb 2021
Denitrification in soil as a function of oxygen availability at the microscale
Helmholtz Centre for Environmental Research – UFZ, Department of Soil
System Sciences, Theodor-Lieser Str. 4, 06120 Halle, Germany
Bernd Apelt
Helmholtz Centre for Environmental Research – UFZ, Department of Soil
System Sciences, Theodor-Lieser Str. 4, 06120 Halle, Germany
Hans-Jörg Vogel
Helmholtz Centre for Environmental Research – UFZ, Department of Soil
System Sciences, Theodor-Lieser Str. 4, 06120 Halle, Germany
Reinhard Well
Thünen Institute of Climate-Smart Agriculture, Bundesallee 65,
38116 Braunschweig, Germany
Gi-Mick Wu
Helmholtz Centre for Environmental Research – UFZ, PACE,
Permoserstraße 15, 04318 Leipzig, Germany
Steffen Schlüter
Helmholtz Centre for Environmental Research – UFZ, Department of Soil
System Sciences, Theodor-Lieser Str. 4, 06120 Halle, Germany
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Short summary
Total denitrification, i.e. N2O and (N2O + N2) fluxes, of repacked soil cores were analysed for different combinations of soils and water contents. Prediction accuracy of (N2O + N2) fluxes was highest with combined proxies for oxygen demand (CO2 flux) and oxygen supply (anaerobic soil volume fraction). Knowledge of denitrification completeness (product ratio) improved N2O predictions. Substitutions with cheaper proxies (soil organic matter, empirical diffusivity) reduced prediction accuracy.
Total denitrification, i.e. N2O and (N2O + N2) fluxes, of repacked soil cores were analysed for...
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