Articles | Volume 16, issue 14
Biogeosciences, 16, 2905–2922, 2019
https://doi.org/10.5194/bg-16-2905-2019
Biogeosciences, 16, 2905–2922, 2019
https://doi.org/10.5194/bg-16-2905-2019

Research article 31 Jul 2019

Research article | 31 Jul 2019

Using a modified DNDC biogeochemical model to optimize field management of a multi-crop (cotton, wheat, and maize) system: a site-scale case study in northern China

Wei Zhang et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (17 Jan 2019) by Paul Stoy
AR by Xunhua Zheng on behalf of the Authors (14 Feb 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (25 Feb 2019) by Paul Stoy
RR by Anonymous Referee #1 (28 Mar 2019)
ED: Reconsider after major revisions (03 Apr 2019) by Paul Stoy
AR by Xunhua Zheng on behalf of the Authors (14 Jun 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (14 Jun 2019) by Paul Stoy
RR by Anonymous Referee #3 (03 Jul 2019)
ED: Publish as is (03 Jul 2019) by Paul Stoy
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Short summary
A biogeochemical process model-based approach for screening the best management practices (BMPs) of a three-crop system was proposed. The BMPs are the management alternatives with the lowest negative impact potentials that still satisfy all given constraints. Three BMP alternatives with overlapping uncertainties of simulated NIPs were screened from 6000 scenarios using the modified DNDC95 model, which could sustain crop yields, enlarge SOC stock, mitigate GHG, and reduce other nitrogen losses.
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