Articles | Volume 11, issue 7
https://doi.org/10.5194/gmd-11-2789-2018
© Author(s) 2018. 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-11-2789-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Implementing the nitrogen cycle into the dynamic global vegetation, hydrology, and crop growth model LPJmL (version 5.0)
Werner von Bloh
CORRESPONDING AUTHOR
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
Christoph Müller
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
Katharina Waha
Potsdam Institute for Climate Impact Research (PIK), Member of the Leibniz Association, P.O. Box 60 12 03,
14412 Potsdam, Germany
CSIRO Agriculture & Food, 306 Carmody Rd, St. Lucia QLD 4067, Australia
Sönke Zaehle
Max Planck Institute for Biogeochemistry, P.O. Box 60 01 64, 07701 Jena, Germany
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- Biophysical and economic implications for agriculture of +1.5° and +2.0°C global warming using AgMIP Coordinated Global and Regional Assessments A. Ruane et al. 10.3354/cr01520
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- 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
- The Global Distribution of Biological Nitrogen Fixation in Terrestrial Natural Ecosystems T. Davies‐Barnard & P. Friedlingstein 10.1029/2019GB006387
- 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
- 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
- Modeling symbiotic biological nitrogen fixation in grain legumes globally with LPJ-GUESS (v4.0, r10285) J. Ma et al. 10.5194/gmd-15-815-2022
- Estimating dissolved carbon concentrations in global soils: a global database and model J. Langeveld et al. 10.1007/s42452-020-03290-0
- Feeding ten billion people is possible within four terrestrial planetary boundaries D. Gerten et al. 10.1038/s41893-019-0465-1
- Microbes drive global soil nitrogen mineralization and availability Z. Li et al. 10.1111/gcb.14557
- The GGCMI Phase 2 emulators: global gridded crop model responses to changes in CO<sub>2</sub>, temperature, water, and nitrogen (version 1.0) J. Franke et al. 10.5194/gmd-13-3995-2020
- Management-induced changes in soil organic carbon on global croplands K. Karstens et al. 10.5194/bg-19-5125-2022
- Potential gross nitrogen mineralization and its linkage with microbial respiration along a forest transect in eastern China B. Fan et al. 10.1016/j.apsoil.2021.104347
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- Food matters: Dietary shifts increase the feasibility of 1.5°C pathways in line with the Paris Agreement F. Humpenöder et al. 10.1126/sciadv.adj3832
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- Progress of vegetation modelling and future research prospects S. Li et al. 10.1007/s11430-023-1367-1
- Potential of Land‐Neutral Negative Emissions Through Biochar Sequestration C. Werner et al. 10.1029/2021EF002583
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- MIROC-INTEG-LAND version 1: a global biogeochemical land surface model with human water management, crop growth, and land-use change T. Yokohata et al. 10.5194/gmd-13-4713-2020
- Insights on Nitrogen and Phosphorus Co‐Limitation in Global Croplands From Theoretical and Modeling Fertilization Experiments B. Ringeval et al. 10.1029/2020GB006915
- A planetary boundary for green water L. Wang-Erlandsson et al. 10.1038/s43017-022-00287-8
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- The Global Gridded Crop Model Intercomparison phase 1 simulation dataset C. Müller et al. 10.1038/s41597-019-0023-8
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- 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
- Future climate change impacts on U.S. agricultural yields, production, and market C. Fei et al. 10.1016/j.ancene.2023.100386
- REPRESENT HILL–VALLEY MOISTURE CONTRAST BY LAND SURFACE MODEL WITH LATERAL SUBSURFACE FLOW K. ADACHI et al. 10.2208/journalofjsce.23-00232
- 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
- Soil organic carbon dynamics from agricultural management practices under climate change T. Herzfeld et al. 10.5194/esd-12-1037-2021
- Climate change critically affects the status of the land-system change planetary boundary A. Tobian et al. 10.1088/1748-9326/ad40c2
- Global Carbon Budget 2023 P. Friedlingstein et al. 10.5194/essd-15-5301-2023
- The importance of management information and soil moisture representation for simulating tillage effects on N<sub>2</sub>O emissions in LPJmL5.0-tillage F. Lutz et al. 10.5194/gmd-13-3905-2020
- The GGCMI Phase 2 experiment: global gridded crop model simulations under uniform changes in CO<sub>2</sub>, temperature, water, and nitrogen levels (protocol version 1.0) J. Franke et al. 10.5194/gmd-13-2315-2020
- Climate impacts on global agriculture emerge earlier in new generation of climate and crop models J. Jägermeyr et al. 10.1038/s43016-021-00400-y
- Overcoming global inequality is critical for land-based mitigation in line with the Paris Agreement F. Humpenöder et al. 10.1038/s41467-022-35114-7
- Fire may prevent future Amazon forest recovery after large-scale deforestation M. Drüke et al. 10.1038/s43247-023-00911-5
- The long-term impact of transgressing planetary boundaries on biophysical atmosphere–land interactions M. Drüke et al. 10.5194/esd-15-467-2024
- Biological nitrogen fixation of natural and agricultural vegetation simulated with LPJmL 5.7.9 S. Wirth et al. 10.5194/gmd-17-7889-2024
- Pulling the rabbit out of the hat: Unravelling hidden nitrogen legacies in catchment‐scale water quality models S. Lutz et al. 10.1002/hyp.14682
- Technical and Economic Irrigation Potentials Within Land and Water Boundaries F. Beier et al. 10.1029/2021WR031924
- Physically constrained generative adversarial networks for improving precipitation fields from Earth system models P. Hess et al. 10.1038/s42256-022-00540-1
- Global variations and controlling factors of soil nitrogen turnover rate Z. Li et al. 10.1016/j.earscirev.2020.103250
- Implementation of nitrogen cycle in the CLASSIC land model A. Asaadi & V. Arora 10.5194/bg-18-669-2021
- Global cotton production under climate change – Implications for yield and water consumption Y. Jans et al. 10.5194/hess-25-2027-2021
- A meta-analysis of crop response patterns to nitrogen limitation for improved model representation V. Seufert et al. 10.1371/journal.pone.0223508
- Global Response Patterns of Major Rainfed Crops to Adaptation by Maintaining Current Growing Periods and Irrigation S. Minoli et al. 10.1029/2018EF001130
- Peatland dynamics: A review of process-based models and approaches B. Mozafari et al. 10.1016/j.scitotenv.2023.162890
- Assessing policy options for sustainable water use in India’s cereal production system V. Singh et al. 10.1088/1748-9326/acf9b6
- Do details matter? Disentangling the processes related to plant species interactions in two grassland models of different complexity S. Wirth et al. 10.1016/j.ecolmodel.2021.109737
- The Influence of Environmental Change (Crops and Water) on Population Redistribution in Mexico and Ethiopia H. Xia et al. 10.3390/app9235219
- Disentangling the separate and confounding effects of temperature and precipitation on global maize yield using machine learning, statistical and process crop models X. Yin et al. 10.1088/1748-9326/ac5716
Latest update: 20 Nov 2024
Short summary
The dynamics of the terrestrial carbon cycle are of central importance for Earth system science. Nutrient limitations, especially from nitrogen, are important constraints on vegetation growth and the terrestrial carbon cycle. We extended the well-established global vegetation, hydrology, and crop model LPJmL with a nitrogen cycle. We find significant improvement in global patterns of crop productivity. Regional differences in crop productivity can now be largely reproduced by the model.
The dynamics of the terrestrial carbon cycle are of central importance for Earth system science....
Special issue