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
Learning from conceptual models – a study of the emergence of cooperation towards resource protection in a social–ecological system
Saeed Harati-Asl, Liliana Perez, and Roberto Molowny-Horas
Geosci. Model Dev., 17, 7423–7443, https://doi.org/10.5194/gmd-17-7423-2024,https://doi.org/10.5194/gmd-17-7423-2024, 2024
Short summary
The biogeochemical model Biome-BGCMuSo v6.2 provides plausible and accurate simulations of the carbon cycle in central European beech forests
Katarína Merganičová, Ján Merganič, Laura Dobor, Roland Hollós, Zoltán Barcza, Dóra Hidy, Zuzana Sitková, Pavel Pavlenda, Hrvoje Marjanovic, Daniel Kurjak, Michal Bošel'a, Doroteja Bitunjac, Maša Zorana Ostrogović Sever, Jiří Novák, Peter Fleischer, and Tomáš Hlásny
Geosci. Model Dev., 17, 7317–7346, https://doi.org/10.5194/gmd-17-7317-2024,https://doi.org/10.5194/gmd-17-7317-2024, 2024
Short summary
DeepPhenoMem V1.0: deep learning modelling of canopy greenness dynamics accounting for multi-variate meteorological memory effects on vegetation phenology
Guohua Liu, Mirco Migliavacca, Christian Reimers, Basil Kraft, Markus Reichstein, Andrew D. Richardson, Lisa Wingate, Nicolas Delpierre, Hui Yang, and Alexander J. Winkler
Geosci. Model Dev., 17, 6683–6701, https://doi.org/10.5194/gmd-17-6683-2024,https://doi.org/10.5194/gmd-17-6683-2024, 2024
Short summary
Impacts of land-use change on biospheric carbon: an oriented benchmark using the ORCHIDEE land surface model
Thi Lan Anh Dinh, Daniel Goll, Philippe Ciais, and Ronny Lauerwald
Geosci. Model Dev., 17, 6725–6744, https://doi.org/10.5194/gmd-17-6725-2024,https://doi.org/10.5194/gmd-17-6725-2024, 2024
Short summary
Implementing the iCORAL (version 1.0) coral reef CaCO3 production module in the iLOVECLIM climate model
Nathaelle Bouttes, Lester Kwiatkowski, Manon Berger, Victor Brovkin, and Guy Munhoven
Geosci. Model Dev., 17, 6513–6528, https://doi.org/10.5194/gmd-17-6513-2024,https://doi.org/10.5194/gmd-17-6513-2024, 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.