Articles | Volume 6, issue 2
https://doi.org/10.5194/esd-6-745-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esd-6-745-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
30 Nov 2015
Research article |
| 30 Nov 2015
Soil carbon management in large-scale Earth system modelling: implications for crop yields and nitrogen leaching
S. Olin
CORRESPONDING AUTHOR
Department of Physical Geography and Ecosystem Science, Lund University, 223 62 Lund, Sweden
M. Lindeskog
Department of Physical Geography and Ecosystem Science, Lund University, 223 62 Lund, Sweden
T. A. M. Pugh
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research/Atmospheric Environmental Research, 82467 Garmisch-Partenkirchen, Germany
G. Schurgers
Department of Geosciences and Natural Resource Management, University of Copenhagen, Øster Voldgade 10, 1350 Copenhagen, Denmark
D. Wårlind
CSIRO Sustainable Agricultural Flagship, CSIRO Agriculture, GPO Box 1666, Black Mountain, Canberra, ACT 2601, Australia
M. Mishurov
Department of Physical Geography and Ecosystem Science, Lund University, 223 62 Lund, Sweden
S. Zaehle
Max Planck Institute for Biogeochemistry – Biogeochemical Integration Department, P.O. Box 60 01 64, 07701 Jena, Germany
B. D. Stocker
Department of Life Sciences, Imperial College London, Silwood Park, Ascot, SL5 7PY, UK
B. Smith
Department of Physical Geography and Ecosystem Science, Lund University, 223 62 Lund, Sweden
A. Arneth
Karlsruhe Institute of Technology, Institute of Meteorology and Climate Research/Atmospheric Environmental Research, 82467 Garmisch-Partenkirchen, Germany
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Cited
43 citations as recorded by crossref.
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- Assessing the impact of changes in land-use intensity and climate on simulated trade-offs between crop yield and nitrogen leaching J. Blanke et al. 10.1016/j.agee.2017.01.038
- Global soil respiration estimation based on ecological big data and machine learning model J. Liu et al. 10.1038/s41598-024-64235-w
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- Inter‐annual simulation of global carbon cycle variations in a terrestrial–aquatic continuum T. Nakayama 10.1002/hyp.13616
- The Global Gridded Crop Model Intercomparison phase 1 simulation dataset C. Müller et al. 10.1038/s41597-019-0023-8
- Modelling feedbacks between human and natural processes in the land system D. Robinson et al. 10.5194/esd-9-895-2018
- Global soil nitrous oxide emissions since the preindustrial era estimated by an ensemble of terrestrial biosphere models: Magnitude, attribution, and uncertainty H. Tian et al. 10.1111/gcb.14514
- Evaluation of soil carbon dynamics after forest cover change in CMIP6 land models using chronosequences L. Boysen et al. 10.1088/1748-9326/ac0be1
- Foreign demand for agricultural commodities drives virtual carbon exports from Cambodia E. Johansson et al. 10.1088/1748-9326/ab8157
- Effect of climate data on simulated carbon and nitrogen balances for Europe J. Blanke et al. 10.1002/2015JG003216
- Adaptation of global land use and management intensity to changes in climate and atmospheric carbon dioxide P. Alexander et al. 10.1111/gcb.14110
41 citations as recorded by crossref.
- Carbon restoration potential on global land under water resource constraints S. Peng et al. 10.1038/s44221-024-00323-5
- Options to model the effects of tillage on N2O emissions at the global scale F. Lutz et al. 10.1016/j.ecolmodel.2018.11.015
- Assessing the impact of changes in land-use intensity and climate on simulated trade-offs between crop yield and nitrogen leaching J. Blanke et al. 10.1016/j.agee.2017.01.038
- Global soil respiration estimation based on ecological big data and machine learning model J. Liu et al. 10.1038/s41598-024-64235-w
- Planting suitability of China’s main grain crops under future climate change T. Lv et al. 10.1016/j.fcr.2023.109112
- Comparing machine learning-derived global estimates of soil respiration and its components with those from terrestrial ecosystem models H. Lu et al. 10.1088/1748-9326/abf526
- A comprehensive evaluation of hydrological processes in a second‐generation dynamic vegetation model H. Zhou et al. 10.1002/hyp.15152
- Future supply and demand of net primary production in the Sahel F. Sallaba et al. 10.5194/esd-8-1191-2017
- Simulating the effect of tillage practices with the global ecosystem model LPJmL (version 5.0-tillage) F. Lutz et al. 10.5194/gmd-12-2419-2019
- Generating a rule-based global gridded tillage dataset V. Porwollik et al. 10.5194/essd-11-823-2019
- The EC-Earth3 Earth system model for the Coupled Model Intercomparison Project 6 R. Döscher et al. 10.5194/gmd-15-2973-2022
- Nitrogen cycling in CMIP6 land surface models: progress and limitations T. Davies-Barnard et al. 10.5194/bg-17-5129-2020
- Soil organic carbon dynamics from agricultural management practices under climate change T. Herzfeld et al. 10.5194/esd-12-1037-2021
- Impacts of future agricultural change on ecosystem service indicators S. Rabin et al. 10.5194/esd-11-357-2020
- Plant phenology evaluation of CRESCENDO land surface models – Part 1: Start and end of the growing season D. Peano et al. 10.5194/bg-18-2405-2021
- LPJ-GUESS/LSMv1.0: a next-generation land surface model with high ecological realism D. Martín Belda et al. 10.5194/gmd-15-6709-2022
- Uncertainties in estimating global potential yields and their impacts for long-term modeling M. Ollenburger et al. 10.1007/s12571-021-01228-x
- Global consequences of afforestation and bioenergy cultivation on ecosystem service indicators A. Krause et al. 10.5194/bg-14-4829-2017
- Large uncertainty in carbon uptake potential of land‐based climate‐change mitigation efforts A. Krause et al. 10.1111/gcb.14144
- Potential land use adjustment for future climate change adaptation in revegetated regions S. Peng & Z. Li 10.1016/j.scitotenv.2018.05.194
- Long-term changes of nitrogen leaching and the contributions of terrestrial nutrient sources to lake eutrophication dynamics on the Yangtze Plain of China Q. Guan et al. 10.5194/bg-20-1635-2023
- Assessing the impacts of agricultural managements on soil carbon stocks, nitrogen loss, and crop production – a modelling study in eastern Africa J. Ma et al. 10.5194/bg-19-2145-2022
- Coupled regional Earth system modeling in the Baltic Sea region M. Gröger et al. 10.5194/esd-12-939-2021
- 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
- Global Carbon Budget 2016 C. Le Quéré et al. 10.5194/essd-8-605-2016
- A regional assessment of land‐based carbon mitigation potentials: Bioenergy, BECCS, reforestation, and forest management A. Krause et al. 10.1111/gcbb.12675
- Modelling interactions between cowpea cover crops and residue retention in Australian dryland cropping systems under climate change Q. He et al. 10.1016/j.agee.2023.108536
- Estimating the Global Influence of Cover Crops on Ecosystem Service Indicators in Croplands With the LPJ‐GUESS Model J. Ma et al. 10.1029/2022EF003142
- 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
- Impact of long-term tillage management on utilization of microbial carbon sources in rhizosphere and non-rhizosphere soils under a double-cropping rice paddy field K. Cheng et al. 10.1007/s11356-021-16886-9
- Assessment of the impacts of biological nitrogen fixation structural uncertainty in CMIP6 earth system models T. Davies-Barnard et al. 10.5194/bg-19-3491-2022
- N<sub>2</sub>O changes from the Last Glacial Maximum to the preindustrial – Part 2: terrestrial N<sub>2</sub>O emissions and carbon–nitrogen cycle interactions F. Joos et al. 10.5194/bg-17-3511-2020
- Modelling crop yield and harvest index: the role of carbon assimilation and allocation parameters H. Camargo-Alvarez et al. 10.1007/s40808-022-01625-x
- The Global N2O Model Intercomparison Project H. Tian et al. 10.1175/BAMS-D-17-0212.1
- Influence of Irrigation on Vertical Migration of Soil Organic Carbon in Arid Area of Inland River W. Zhang et al. 10.3390/land12081532
- Inter‐annual simulation of global carbon cycle variations in a terrestrial–aquatic continuum T. Nakayama 10.1002/hyp.13616
- The Global Gridded Crop Model Intercomparison phase 1 simulation dataset C. Müller et al. 10.1038/s41597-019-0023-8
- Modelling feedbacks between human and natural processes in the land system D. Robinson et al. 10.5194/esd-9-895-2018
- Global soil nitrous oxide emissions since the preindustrial era estimated by an ensemble of terrestrial biosphere models: Magnitude, attribution, and uncertainty H. Tian et al. 10.1111/gcb.14514
- Evaluation of soil carbon dynamics after forest cover change in CMIP6 land models using chronosequences L. Boysen et al. 10.1088/1748-9326/ac0be1
- Foreign demand for agricultural commodities drives virtual carbon exports from Cambodia E. Johansson et al. 10.1088/1748-9326/ab8157
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Latest update: 23 Nov 2024
Short summary
Croplands are vital ecosystems for human well-being. Properly managed they can supply food, store carbon and even sequester carbon from the atmosphere. Conversely, if poorly managed, croplands can be a source of nitrogen to inland and coastal waters, causing algal blooms, and a source of carbon dioxide to the atmosphere, accentuating climate change. Here we studied cropland management types for their potential to store carbon and minimize nitrogen losses while maintaining crop yields.
Croplands are vital ecosystems for human well-being. Properly managed they can supply food,...
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