AGU Advances (Dec 2023)

Modeling Denitrification: Can We Report What We Don't Know?

  • B. Grosz,
  • A. Matson,
  • K. Butterbach‐Bahl,
  • T. Clough,
  • E. A. Davidson,
  • R. Dechow,
  • S. DelGrosso,
  • E. Diamantopoulos,
  • P. Dörsch,
  • E. Haas,
  • H. He,
  • C. V. Henri,
  • D. Hui,
  • K. Kleineidam,
  • D. Kraus,
  • M. Kuhnert,
  • J. Léonard,
  • C. Müller,
  • S. O. Petersen,
  • D. Sihi,
  • I. Vogeler,
  • R. Well,
  • J. Yeluripati,
  • J. Zhang,
  • C. Scheer

DOI
https://doi.org/10.1029/2023AV000990
Journal volume & issue
Vol. 4, no. 6
pp. n/a – n/a

Abstract

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Abstract Biogeochemical models simulate soil nitrogen (N) turnover and are often used to assess N losses through denitrification. Though models simulate a complete N budget, often only a subset of N pools/fluxes (i.e., N2O, NO3−, NH3, NOx) are published since the full budget cannot be validated with measured data. Field studies rarely include full N balances, especially N2 fluxes, which are difficult to quantify. Limiting publication of modeling results based on available field data represents a missed opportunity to improve the understanding of modeled processes. We propose that the modeler community support publication of all simulated N pools and processes in future studies.

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