Articles | Volume 16, issue 14
https://doi.org/10.5194/bg-16-2905-2019
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, Chunyan Liu, Xunhua Zheng, Kai Wang, Feng Cui, Rui Wang, Siqi Li, Zhisheng Yao, and Jiang Zhu

Viewed

Total article views: 2,530 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,554 919 57 2,530 256 50 49
  • HTML: 1,554
  • PDF: 919
  • XML: 57
  • Total: 2,530
  • Supplement: 256
  • BibTeX: 50
  • EndNote: 49
Views and downloads (calculated since 25 Sep 2018)
Cumulative views and downloads (calculated since 25 Sep 2018)

Viewed (geographical distribution)

Total article views: 2,530 (including HTML, PDF, and XML) Thereof 2,322 with geography defined and 208 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 May 2024
Download
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.
Altmetrics
Final-revised paper
Preprint