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

Related authors

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
Geosci. Model Dev., 13, 3905–3923, https://doi.org/10.5194/gmd-13-3905-2020,https://doi.org/10.5194/gmd-13-3905-2020, 2020
Short summary

Related subject area

Biogeosciences
A global behavioural model of human fire use and management: WHAM! v1.0
Oliver Perkins, Matthew Kasoar, Apostolos Voulgarakis, Cathy Smith, Jay Mistry, and James D. A. Millington
Geosci. Model Dev., 17, 3993–4016, https://doi.org/10.5194/gmd-17-3993-2024,https://doi.org/10.5194/gmd-17-3993-2024, 2024
Short summary
Terrestrial Ecosystem Model in R (TEMIR) version 1.0: simulating ecophysiological responses of vegetation to atmospheric chemical and meteorological changes
Amos P. K. Tai, David H. Y. Yung, and Timothy Lam
Geosci. Model Dev., 17, 3733–3764, https://doi.org/10.5194/gmd-17-3733-2024,https://doi.org/10.5194/gmd-17-3733-2024, 2024
Short summary
biospheremetrics v1.0.2: an R package to calculate two complementary terrestrial biosphere integrity indicators – human colonization of the biosphere (BioCol) and risk of ecosystem destabilization (EcoRisk)
Fabian Stenzel, Johanna Braun, Jannes Breier, Karlheinz Erb, Dieter Gerten, Jens Heinke, Sarah Matej, Sebastian Ostberg, Sibyll Schaphoff, and Wolfgang Lucht
Geosci. Model Dev., 17, 3235–3258, https://doi.org/10.5194/gmd-17-3235-2024,https://doi.org/10.5194/gmd-17-3235-2024, 2024
Short summary
Modeling boreal forest soil dynamics with the microbially explicit soil model MIMICS+ (v1.0)
Elin Ristorp Aas, Heleen A. de Wit, and Terje K. Berntsen
Geosci. Model Dev., 17, 2929–2959, https://doi.org/10.5194/gmd-17-2929-2024,https://doi.org/10.5194/gmd-17-2929-2024, 2024
Short summary
Optimal enzyme allocation leads to the constrained enzyme hypothesis: the Soil Enzyme Steady Allocation Model (SESAM; v3.1)
Thomas Wutzler, Christian Reimers, Bernhard Ahrens, and Marion Schrumpf
Geosci. Model Dev., 17, 2705–2725, https://doi.org/10.5194/gmd-17-2705-2024,https://doi.org/10.5194/gmd-17-2705-2024, 2024
Short summary

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. 
Balland, V., Pollacco, J. A. P., and Arp, P. A.: Modeling soil hydraulic properties for a wide range of soil conditions, Ecol. Model., 219, 300–316, https://doi.org/10.1016/j.ecolmodel.2008.07.009, 2008. 
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. 
Download
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.