Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 9
Articles | Volume 13, issue 9
https://doi.org/10.5194/gmd-13-3905-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-13-3905-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 9
Development and technical paper
 | 
01 Sep 2020
Development and technical paper |  | 01 Sep 2020

The importance of management information and soil moisture representation for simulating tillage effects on N2O emissions in LPJmL5.0-tillage

Femke Lutz, Stephen Del Grosso, Stephen Ogle, Stephen Williams, Sara Minoli, Susanne Rolinski, Jens Heinke, Jetse J. Stoorvogel, and Christoph Müller

Viewed

Total article views: 3,532 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,387 1,021 124 3,532 155 208
  • HTML: 2,387
  • PDF: 1,021
  • XML: 124
  • Total: 3,532
  • BibTeX: 155
  • EndNote: 208
Views and downloads (calculated since 14 Feb 2020)
Cumulative views and downloads (calculated since 14 Feb 2020)

Viewed (geographical distribution)

Total article views: 3,532 (including HTML, PDF, and XML) Thereof 3,290 with geography defined and 242 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 06 May 2026
Download
Short summary
Previous findings have shown deviations between the LPJmL5.0-tillage model and results from meta-analyses on global estimates of tillage effects on N2O emissions. By comparing model results with observational data of four experimental sites and outputs from field-scale DayCent model simulations, we show that advancing information on agricultural management, as well as the representation of soil moisture dynamics, improves LPJmL5.0-tillage and the estimates of tillage effects on N2O emissions.
Read more
Share
Special issue
The Lund–Potsdam–Jena managed Land (LPJmL) dynamic...