Articles | Volume 11, issue 4
https://doi.org/10.5194/gmd-11-1343-2018
© 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-11-1343-2018
© 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 1: Model description
Sibyll Schaphoff
CORRESPONDING AUTHOR
Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam, Germany
Werner von Bloh
Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam, Germany
Anja Rammig
Technical University of Munich, School of Life Sciences Weihenstephan, 85354 Freising, Germany
Kirsten Thonicke
Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam, Germany
Hester Biemans
Alterra, Wageningen University & Research, P.O. Box 47, 6700 AA Wageningen, the Netherlands
Matthias Forkel
TU Wien, Climate and Environmental Remote Sensing Group,
Department of Geodesy and Geoinformation, Gusshausstraße 25–29, 1040 Vienna, Austria
Dieter Gerten
Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam, Germany
Humboldt Universität zu Berlin, Department of Geography, Unter den Linden 6, 10099 Berlin, Germany
Jens Heinke
Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam, Germany
Jonas Jägermeyr
Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam, Germany
Jürgen Knauer
Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10, 07745 Jena, Germany
Fanny Langerwisch
Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam, Germany
Wolfgang Lucht
Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam, Germany
Humboldt Universität zu Berlin, Department of Geography, Unter den Linden 6, 10099 Berlin, Germany
Christoph Müller
Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam, Germany
Susanne Rolinski
Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam, Germany
Katharina Waha
Potsdam Institute for Climate Impact Research, P.O. Box 60 12 03, 14412 Potsdam, Germany
CSIRO Agriculture & Food, 306 Carmody Rd, St Lucia QLD 4067, Australia
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- 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
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- Land management and climate change determine second‐generation bioenergy potential of the US Northern Great Plains K. Dolan et al. 10.1111/gcbb.12686
- Identifying climate thresholds for dominant natural vegetation types at the global scale using machine learning: Average climate versus extremes R. Beigaitė et al. 10.1111/gcb.16110
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- Revisiting Global Vegetation Controls Using Multi‐Layer Soil Moisture W. Li et al. 10.1029/2021GL092856
- Embodied Hanpp of Feed and Animal Products: Tracing Pressure on Ecosystems Along Trilateral Livestock Supply Chains 1986-2013 N. Roux et al. 10.2139/ssrn.3998990
- 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
- Quantifying sustainable intensification of agriculture: The contribution of metrics and modelling I. Mouratiadou et al. 10.1016/j.ecolind.2021.107870
- Runoff change induced by vegetation recovery and climate change over carbonate and non-carbonate areas in the karst region of South-west China L. Cai et al. 10.1016/j.jhydrol.2021.127231
- 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 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
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Latest update: 05 Oct 2024
Short summary
Here we provide a comprehensive model description of a global terrestrial biosphere model, named LPJmL4, incorporating the carbon and water cycle and the quantification of agricultural production. The model allows for the consistent and joint quantification of climate and land use change impacts on the biosphere. The model represents the key ecosystem functions, but also the influence of humans on the biosphere. It comes with an evaluation paper to demonstrate the credibility of LPJmL4.
Here we provide a comprehensive model description of a global terrestrial biosphere model, named...
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