Articles | Volume 12, issue 6
https://doi.org/10.5194/gmd-12-2419-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-12-2419-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
19 Jun 2019
Model description paper |
| 19 Jun 2019
| 19 Jun 2019
Simulating the effect of tillage practices with the global ecosystem model LPJmL (version 5.0-tillage)
Potsdam Institute for Climate Impact Research (PIK), member of the
Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
Wageningen University, Soil Geography and Landscape Group, P.O. Box 47, 6700 AA Wageningen, the Netherlands
Tobias Herzfeld
Potsdam Institute for Climate Impact Research (PIK), member of the
Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
Jens Heinke
Potsdam Institute for Climate Impact Research (PIK), member of the
Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
Susanne Rolinski
Potsdam Institute for Climate Impact Research (PIK), member of the
Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
Sibyll Schaphoff
Potsdam Institute for Climate Impact Research (PIK), member of the
Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
Werner von Bloh
Potsdam Institute for Climate Impact Research (PIK), member of the
Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
Jetse J. Stoorvogel
Wageningen University, Soil Geography and Landscape Group, P.O. Box 47, 6700 AA Wageningen, the Netherlands
Christoph Müller
Potsdam Institute for Climate Impact Research (PIK), member of the
Leibniz Association, P.O. Box 60 12 03, 14412 Potsdam, Germany
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Cited
39 citations as recorded by crossref.
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- The role of cover crops for cropland soil carbon, nitrogen leaching, and agricultural yields – a global simulation study with LPJmL (V. 5.0-tillage-cc) V. Porwollik et al. 10.5194/bg-19-957-2022
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- Exact Variances Associated With Unbiased Estimation for the Assessment of Soil Organic Carbon Storage in the Coffee‐Growing Region of Taiwan H. Hsu et al. 10.1111/sum.70076
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- Projected landscape-scale repercussions of global action for climate and biodiversity protection P. von Jeetze et al. 10.1038/s41467-023-38043-1
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- lpjmlkit: A toolkit for operating LPJmL and model-specific data processing J. Breier et al. 10.21105/joss.05447
- Simulating no-tillage effects on crop yield and greenhouse gas emissions in Kentucky corn and soybean cropping systems: 1980–2018 Y. Huang et al. 10.1016/j.agsy.2021.103355
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- Reducing Uncertainties of Future Global Soil Carbon Responses to Climate and Land Use Change With Emergent Constraints W. Xu et al. 10.1029/2020GB006589
- 植被模型研究进展与展望 思. 李 et al. 10.1360/SSTe-2023-0204
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- Assessment of the Interrelationships of Soil Nutrient Balances with the Agricultural Soil Emissions and Food Production V. Martinho et al. 10.3390/soilsystems6020032
- Global Carbon Budget 2024 P. Friedlingstein et al. 10.5194/essd-17-965-2025
- Direct planting of Allium sativum before and after desiccation of Urochloa brizantha straw with glyphosate J. Maciel et al. 10.1016/j.scienta.2021.110478
- Definitions and methods to estimate regional land carbon fluxes for the second phase of the REgional Carbon Cycle Assessment and Processes Project (RECCAP-2) P. Ciais et al. 10.5194/gmd-15-1289-2022
- Global crop yields can be lifted by timely adaptation of growing periods to climate change S. Minoli et al. 10.1038/s41467-022-34411-5
39 citations as recorded by crossref.
- CM2Mc-LPJmL v1.0: biophysical coupling of a process-based dynamic vegetation model with managed land to a general circulation model M. Drüke et al. 10.5194/gmd-14-4117-2021
- The role of cover crops for cropland soil carbon, nitrogen leaching, and agricultural yields – a global simulation study with LPJmL (V. 5.0-tillage-cc) V. Porwollik et al. 10.5194/bg-19-957-2022
- 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) F. Stenzel et al. 10.5194/gmd-17-3235-2024
- Soil organic carbon dynamics from agricultural management practices under climate change T. Herzfeld et al. 10.5194/esd-12-1037-2021
- A decision support framework assessing management impacts on crop yield, soil carbon changes and nitrogen losses to the environment M. Young et al. 10.1111/ejss.13024
- Technical and Economic Irrigation Potentials Within Land and Water Boundaries F. Beier et al. 10.1029/2021WR031924
- Biological nitrogen fixation of natural and agricultural vegetation simulated with LPJmL 5.7.9 S. Wirth et al. 10.5194/gmd-17-7889-2024
- Water Use in Global Livestock Production—Opportunities and Constraints for Increasing Water Productivity J. Heinke et al. 10.1029/2019WR026995
- Compound events in Germany in 2018: drivers and case studies E. Xoplaki et al. 10.5194/nhess-25-541-2025
- Connecting competitor, stress-tolerator and ruderal (CSR) theory and Lund Potsdam Jena managed Land 5 (LPJmL 5) to assess the role of environmental conditions, management and functional diversity for grassland ecosystem functions S. Wirth et al. 10.5194/bg-21-381-2024
- How does building healthy soils impact sustainable use of water resources in irrigated agriculture? S. Acevedo et al. 10.1525/elementa.2022.00043
- Uncertainty in land-use adaptation persists despite crop model projections showing lower impacts under high warming E. Molina Bacca et al. 10.1038/s43247-023-00941-z
- The importance of management information and soil moisture representation for simulating tillage effects on N2O emissions in LPJmL5.0-tillage F. Lutz et al. 10.5194/gmd-13-3905-2020
- Assessing synergistic effects of no-tillage and cover crops on soil carbon dynamics in a long-term maize cropping system under climate change Y. Huang et al. 10.1016/j.agrformet.2020.108090
- Incorporating dynamic crop growth processes and management practices into a terrestrial biosphere model for simulating crop production in the United States: Toward a unified modeling framework Y. You et al. 10.1016/j.agrformet.2022.109144
- Application of DSSAT model to evaluate the effects of tillage methods on soil water balance during drought period A. Irkiso et al. 10.1007/s40808-025-02334-x
- Exact Variances Associated With Unbiased Estimation for the Assessment of Soil Organic Carbon Storage in the Coffee‐Growing Region of Taiwan H. Hsu et al. 10.1111/sum.70076
- Management-induced changes in soil organic carbon on global croplands K. Karstens et al. 10.5194/bg-19-5125-2022
- Exploring wheat-based management strategies to balance agricultural production and environmental sustainability in a wheat−maize cropping system using the DNDC model C. Wang et al. 10.1016/j.jenvman.2022.114445
- Projected landscape-scale repercussions of global action for climate and biodiversity protection P. von Jeetze et al. 10.1038/s41467-023-38043-1
- LandInG 1.0: a toolbox to derive input datasets for terrestrial ecosystem modelling at variable resolutions from heterogeneous sources S. Ostberg et al. 10.5194/gmd-16-3375-2023
- Global Carbon Budget 2023 P. Friedlingstein et al. 10.5194/essd-15-5301-2023
- Conservation tillage increases corn and soybean water productivity across the Ohio River Basin Y. Huang et al. 10.1016/j.agwat.2021.106962
- Review on the contribution of farming practices and technologies towards climate-smart agricultural outcomes in a European context K. Erekalo et al. 10.1016/j.atech.2024.100413
- Sources of uncertainty in the SPITFIRE global fire model: development of LPJmL-SPITFIRE1.9 and directions for future improvements L. Oberhagemann et al. 10.5194/gmd-18-2021-2025
- Progress of vegetation modelling and future research prospects S. Li et al. 10.1007/s11430-023-1367-1
- MilTilV: a vertically resolved microbial explicit soil organic carbon turnover model integrated the effect of tillage operation K. YE et al. 10.1016/j.pedsph.2025.06.007
- Parameterization-induced uncertainties and impacts of crop management harmonization in a global gridded crop model ensemble C. Folberth et al. 10.1371/journal.pone.0221862
- lpjmlkit: A toolkit for operating LPJmL and model-specific data processing J. Breier et al. 10.21105/joss.05447
- Simulating no-tillage effects on crop yield and greenhouse gas emissions in Kentucky corn and soybean cropping systems: 1980–2018 Y. Huang et al. 10.1016/j.agsy.2021.103355
- Modelling the role of livestock grazing in C and N cycling in grasslands with LPJmL5.0-grazing J. Heinke et al. 10.5194/gmd-16-2455-2023
- Reducing Uncertainties of Future Global Soil Carbon Responses to Climate and Land Use Change With Emergent Constraints W. Xu et al. 10.1029/2020GB006589
- 植被模型研究进展与展望 思. 李 et al. 10.1360/SSTe-2023-0204
- Climate change impacts on European arable crop yields: Sensitivity to assumptions about rotations and residue management B. Faye et al. 10.1016/j.eja.2022.126670
- Assessment of the Interrelationships of Soil Nutrient Balances with the Agricultural Soil Emissions and Food Production V. Martinho et al. 10.3390/soilsystems6020032
- Global Carbon Budget 2024 P. Friedlingstein et al. 10.5194/essd-17-965-2025
- Direct planting of Allium sativum before and after desiccation of Urochloa brizantha straw with glyphosate J. Maciel et al. 10.1016/j.scienta.2021.110478
- Definitions and methods to estimate regional land carbon fluxes for the second phase of the REgional Carbon Cycle Assessment and Processes Project (RECCAP-2) P. Ciais et al. 10.5194/gmd-15-1289-2022
- Global crop yields can be lifted by timely adaptation of growing periods to climate change S. Minoli et al. 10.1038/s41467-022-34411-5
Latest update: 16 Jul 2025
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.
Tillage practices are under-represented in global biogeochemical models so that assessments of...
Special issue