Articles | Volume 12, issue 6
https://doi.org/10.5194/gmd-12-2419-2019
https://doi.org/10.5194/gmd-12-2419-2019
Model description paper
 | 
19 Jun 2019
Model description paper |  | 19 Jun 2019

Simulating the effect of tillage practices with the global ecosystem model LPJmL (version 5.0-tillage)

Femke Lutz, Tobias Herzfeld, Jens Heinke, Susanne Rolinski, Sibyll Schaphoff, Werner von Bloh, Jetse J. Stoorvogel, and Christoph Müller

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Cited articles

Abdalla, K., Chivenge, P., Ciais, P., and Chaplot, V.: No-tillage lessens soil CO2 emissions the most under arid and sandy soil conditions: results from a meta-analysis, Biogeosciences, 13, 3619–3633, https://doi.org/10.5194/bg-13-3619-2016, 2016. 
Armand, R., Bockstaller, C., Auzet, A.-V., and Van Dijk, P.: Runoff generation related to intra-field soil surface characteristics variability: Application to conservation tillage context, Soil Till. Res., 102, 27–37, https://doi.org/10.1016/j.still.2008.07.009, 2009. 
Aslam, T., Choudhary, M. A., and Saggar, S.: Influence of land-use management on CO2 emissions from a silt loam soil in New Zealand, Agr. Ecosyst. Environ., 77, 257–262, https://doi.org/10.1016/S0167-8809(99)00102-4, 2000. 
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Batjes, N.: ISRIC-WISE global data set of derived soil properties on a 0.5 by 0.5 degree grid (version 3.0), ISRIC – World Soil Information, Wageningen, 2005. 
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Short summary
Tillage practices are under-represented in global biogeochemical models so that assessments of agricultural greenhouse gas emissions and climate mitigation options are hampered. We describe the implementation of tillage modules into the model LPJmL5.0, including multiple feedbacks between soil water, nitrogen, and productivity. By comparing simulation results with observational data, we show that the model can reproduce reported tillage effects on carbon and water dynamics and crop yields.
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