Articles | Volume 19, issue 12
Biogeosciences, 19, 3001–3019, 2022
https://doi.org/10.5194/bg-19-3001-2022
Biogeosciences, 19, 3001–3019, 2022
https://doi.org/10.5194/bg-19-3001-2022
Research article
22 Jun 2022
Research article | 22 Jun 2022

Update of a biogeochemical model with process-based algorithms to predict ammonia volatilization from fertilized cultivated uplands and rice paddy fields

Siqi Li et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on bg-2021-341', Anonymous Referee #1, 17 Feb 2022
  • RC2: 'Comment on bg-2021-341', Anonymous Referee #2, 04 Mar 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (09 Apr 2022) by Ben Bond-Lamberty
AR by Yong Li on behalf of the Authors (05 May 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (07 May 2022) by Ben Bond-Lamberty
RR by Anonymous Referee #2 (27 May 2022)
ED: Publish subject to technical corrections (28 May 2022) by Ben Bond-Lamberty
AR by Yong Li on behalf of the Authors (31 May 2022)  Author's response    Manuscript

Post-review adjustments

AA: Author's adjustment | EA: Editor approval
AA by Yong Li on behalf of the Authors (21 Jun 2022)   Author's adjustment   Manuscript
EA: Adjustments approved (21 Jun 2022) by Ben Bond-Lamberty
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Short summary
The CNMM–DNDC model was modified to simulate ammonia volatilization (AV) from croplands. AV from cultivated uplands followed the first-order kinetics, which was jointly regulated by the factors of soil properties and meteorological conditions. AV simulation from rice paddy fields was improved by incorporating Jayaweera–Mikkelsen mechanisms. The modified model performed well in simulating the observed cumulative AV measured from 63 fertilization events in China.
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