Articles | Volume 11, issue 4
https://doi.org/10.5194/gmd-11-1377-2018
© 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-11-1377-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation
Sibyll Schaphoff
CORRESPONDING AUTHOR
Potsdam Institute for Climate Impact Research, Telegraphenberg, P.O. Box 60 12 03, 14412 Potsdam, Germany
Matthias Forkel
TU Wien, Climate and Environmental Remote Sensing Group, Department of Geodesy and Geoinformation,
Gusshausstraße 25–29, 1040 Vienna, Austria
Christoph Müller
Potsdam Institute for Climate Impact Research, Telegraphenberg, P.O. Box 60 12 03, 14412 Potsdam, Germany
Jürgen Knauer
Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10, 07745 Jena, Germany
Werner von Bloh
Potsdam Institute for Climate Impact Research, Telegraphenberg, P.O. Box 60 12 03, 14412 Potsdam, Germany
Dieter Gerten
Potsdam Institute for Climate Impact Research, Telegraphenberg, P.O. Box 60 12 03, 14412 Potsdam, Germany
Humboldt Universität zu Berlin, Department of Geography, Unter den Linden 6, 10099 Berlin, Germany
Jonas Jägermeyr
Potsdam Institute for Climate Impact Research, Telegraphenberg, P.O. Box 60 12 03, 14412 Potsdam, Germany
Wolfgang Lucht
Potsdam Institute for Climate Impact Research, Telegraphenberg, P.O. Box 60 12 03, 14412 Potsdam, Germany
Humboldt Universität zu Berlin, Department of Geography, Unter den Linden 6, 10099 Berlin, Germany
Anja Rammig
Technical University of Munich, School of Life Sciences Weihenstephan, 85354 Freising, Germany
Kirsten Thonicke
Potsdam Institute for Climate Impact Research, Telegraphenberg, P.O. Box 60 12 03, 14412 Potsdam, Germany
Katharina Waha
Potsdam Institute for Climate Impact Research, Telegraphenberg, P.O. Box 60 12 03, 14412 Potsdam, Germany
CSIRO Agriculture & Food, 306 Carmody Rd, St Lucia QLD 4067, Australia
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- Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models M. Forkel et al. 10.5194/bg-16-57-2019
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59 citations as recorded by crossref.
- Future climate change impacts on U.S. agricultural yields, production, and market C. Fei et al. 10.1016/j.ancene.2023.100386
- Combining European Earth Observation products with Dynamic Global Vegetation Models for estimating Essential Biodiversity Variables M. Dantas de Paula et al. 10.1080/17538947.2019.1597187
- Global cotton production under climate change – Implications for yield and water consumption Y. Jans et al. 10.5194/hess-25-2027-2021
- A prototype Earth system impact metric that accounts for cross-scale interactions S. Lade et al. 10.1088/1748-9326/ac2db1
- Biological nitrogen fixation of natural and agricultural vegetation simulated with LPJmL 5.7.9 S. Wirth et al. 10.5194/gmd-17-7889-2024
- 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
- Using long temporal reference units to assess the spatial accuracy of global satellite-derived burned area products M. Franquesa et al. 10.1016/j.rse.2021.112823
- Simulating functional diversity of European natural forests along climatic gradients K. Thonicke et al. 10.1111/jbi.13809
- Understanding the uncertainty in global forest carbon turnover T. Pugh et al. 10.5194/bg-17-3961-2020
- The Influence of Environmental Change (Crops and Water) on Population Redistribution in Mexico and Ethiopia H. Xia et al. 10.3390/app9235219
- When do Farmers Burn Pasture in Brazil: A Model-Based Approach to Determine Burning Date M. Brunel et al. 10.1016/j.rama.2021.08.003
- Rainfall seasonality dominates critical precipitation threshold for the Amazon forest in the LPJmL vegetation model D. Nian et al. 10.1016/j.scitotenv.2024.174378
- Physically constrained generative adversarial networks for improving precipitation fields from Earth system models P. Hess et al. 10.1038/s42256-022-00540-1
- LPJmL4 – a dynamic global vegetation model with managed land – Part 1: Model description S. Schaphoff et al. 10.5194/gmd-11-1343-2018
- Land management and climate change determine second‐generation bioenergy potential of the US Northern Great Plains K. Dolan et al. 10.1111/gcbb.12686
- Climate change critically affects the status of the land-system change planetary boundary A. Tobian et al. 10.1088/1748-9326/ad40c2
- Progress of vegetation modelling and future research prospects S. Li et al. 10.1007/s11430-023-1367-1
- Global advanced bioenergy potential under environmental protection policies and societal transformation measures W. Wu et al. 10.1111/gcbb.12614
- Projected landscape-scale repercussions of global action for climate and biodiversity protection P. von Jeetze et al. 10.1038/s41467-023-38043-1
- Accelerated photosynthesis routine in LPJmL4 J. Niebsch et al. 10.5194/gmd-16-17-2023
- Feeding ten billion people is possible within four terrestrial planetary boundaries D. Gerten et al. 10.1038/s41893-019-0465-1
- Critical adjustment of land mitigation pathways for assessing countries’ climate progress G. Grassi et al. 10.1038/s41558-021-01033-6
- ERA5 and ERA-Interim Data Processing for the GlobWat Global Hydrological Model B. Abdollahi et al. 10.3390/w14121950
- Constraining modelled global vegetation dynamics and carbon turnover using multiple satellite observations M. Forkel et al. 10.1038/s41598-019-55187-7
- Cell-level coupling of a mechanistic model to cellular automata for improving land simulation G. Chen et al. 10.1080/15481603.2023.2166443
- 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
- Irrigation water consumption of irrigated cropland and its dominant factor in China from 1982 to 2015 L. Yin et al. 10.1016/j.advwatres.2020.103661
- African rainforest moisture contribution to continental agricultural water consumption M. Nyasulu et al. 10.1016/j.agrformet.2023.109867
- 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
- 植被模型研究进展与展望 思. 李 et al. 10.1360/SSTe-2023-0204
- 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
- Implementing the nitrogen cycle into the dynamic global vegetation, hydrology, and crop growth model LPJmL (version 5.0) W. von Bloh et al. 10.5194/gmd-11-2789-2018
- CO-BENEFIT OF CLIMATE POLICY IN GLOBAL CROP YIELD CHANGES ASSOCIATED WITH TROPOSPHERIC OZONE DECREASES R. WATANABE et al. 10.2208/jscejer.76.5_I_129
- Global warming determines future increase in compound dry and hot days within wheat growing seasons worldwide Y. He et al. 10.1007/s10584-024-03718-1
- Recent Global Cropland Water Consumption Constrained by Observations Y. Chen et al. 10.1029/2018WR023573
- How evaluation of global hydrological models can help to improve credibility of river discharge projections under climate change V. Krysanova et al. 10.1007/s10584-020-02840-0
- The global water resources and use model WaterGAP v2.2d: model description and evaluation H. Müller Schmied et al. 10.5194/gmd-14-1037-2021
- Freshwater resources under success and failure of the Paris climate agreement J. Heinke et al. 10.5194/esd-10-205-2019
- The long-term impact of transgressing planetary boundaries on biophysical atmosphere–land interactions M. Drüke et al. 10.5194/esd-15-467-2024
- The role of low temperatures, water availability and fire for the grassland biome border in South Africa M. Thavhana et al. 10.1016/j.sajb.2024.07.017
- Water Use in Global Livestock Production—Opportunities and Constraints for Increasing Water Productivity J. Heinke et al. 10.1029/2019WR026995
- Dynamics of soil organic carbon in the steppes of Russia and Kazakhstan under past and future climate and land use S. Rolinski et al. 10.1007/s10113-021-01799-7
- Earth beyond six of nine planetary boundaries K. Richardson et al. 10.1126/sciadv.adh2458
- First process-based simulations of climate change impacts on global tea production indicate large effects in the World’s major producer countries T. Beringer et al. 10.1088/1748-9326/ab649b
- STUDY ON THE CLIMATE, HEALTH, AND AGRICULTURAL IMPACTS OF GLOBAL NO<sub>x</sub> EMISSION REDUCTIONS K. YAMAZAKI et al. 10.2208/jscejj.23-27011
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- The Global Gridded Crop Model Intercomparison phase 1 simulation dataset C. Müller et al. 10.1038/s41597-019-0023-8
- Management-induced changes in soil organic carbon on global croplands K. Karstens et al. 10.5194/bg-19-5125-2022
- Evolution of multivariate drought hazard, vulnerability and risk in India under climate change V. Sahana & A. Mondal 10.5194/nhess-23-623-2023
- Land-neutral negative emissions through biochar-based fertilization—assessing global potentials under varied management and pyrolysis conditions C. Werner et al. 10.1007/s11027-024-10130-8
- Freshwater requirements of large-scale bioenergy plantations for limiting global warming to 1.5 °C F. Stenzel et al. 10.1088/1748-9326/ab2b4b
- Calibration and validation of phenological models for Biome-BGCMuSo in the grasslands of Tibetan Plateau using remote sensing data L. Zheng et al. 10.1016/j.agrformet.2022.109001
- Climate-induced hysteresis of the tropical forest in a fire-enabled Earth system model M. Drüke et al. 10.1140/epjs/s11734-021-00157-2
- CO2 fertilization effect may balance climate change impacts on oil palm cultivation T. Beringer et al. 10.1088/1748-9326/accbd5
- Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models M. Forkel et al. 10.5194/bg-16-57-2019
- Potential yield simulated by global gridded crop models: using a process-based emulator to explain their differences B. Ringeval et al. 10.5194/gmd-14-1639-2021
- 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
- The perfect storm? Co-occurring climate extremes in East Africa D. Muheki et al. 10.5194/esd-15-429-2024
- Technical and Economic Irrigation Potentials Within Land and Water Boundaries F. Beier et al. 10.1029/2021WR031924
Latest update: 20 Nov 2024
Short summary
Here we provide a comprehensive evaluation of the now launched version 4.0 of the LPJmL biosphere, water, and agricultural model. The article is the second part to a comprehensive description of the LPJmL4 model. We have evaluated the model against various datasets of satellite observations, agricultural statistics, and in situ measurements by applying a range of metrics. We are able to show that the LPJmL4 model simulates many parameters and relations reasonably.
Here we provide a comprehensive evaluation of the now launched version 4.0 of the LPJmL...
Special issue