Core Infrastructure
LPJmL
The Lund-Potsdam-Jena managed Land (LPJmL) is a dynamic global vegetation model (DGVM) with explicit agricultural and hydrology representation.
- C code, >100k lines
- open source on GitHub: PIK-LPJmL
- contributed to >300 PIK papers with >85.000 citations; H-index of 127
- More information on the corresponding PIK website
Related records
- pycoupler: dynamic model coupling of LPJmL
- Model Code and Data for "Future projections of burned area in Europe highlight the importance of human action"
- Code and data for: "Revised nitrogen balance for plant photosynthesis and growth in the dynamic global vegetation, hydrology and agriculture model LPJmL (5.10)"
- Code and data for: "Implementing methane dynamics into the LPJmL6 model"
- LPJmL: central open-source github repository of LPJmL at PIK
- Standard historical input data set for LPJmL version 6.0.5
- Model code for GMD submission "Canopy temperatures in computationally expensive crop models: a resource-efficient emulator approach applied in LPJmL (version 5.9.18)"
- lpjmlkit: Toolkit for Basic LPJmL Handling
- Data for GMD submission "copan:LPJmL: A new hybrid modelling framework for dynamic land use and agricultural management"
- Model of integrated social-ecological resilient land systems (InSEEDS)
- LPJmL for InSEEDS and further copan:LPJmL models
- Example models of land management based on copan:LPJmL
- copan:LPJmL, an advanced World-Earth modeling framework extending copan:CORE, integrating LPJmL as the Earth system interface for comprehensive social-ecological simulations
- Scenario simulation results of LPJmL within the EU project Re-Livestock in WP6 for inclusion in circular farming system modelling
- Data for One Earth publication "Breaching planetary boundaries: Over half of global land area suffers critical losses in functional biosphere integrity"
- LPJmL code, configuration, relevant output data, and processing scripts for Jurak et al: Spatial heterogeneity matters: Trade-off analysis of uniform vs. targeted policies to reduce nitrogen surplus in agriculture
- LPJmL5-Pasture-Burning : Effects of fire and grazing on biogeochemical cycles in Brazilian pastures
- Data and accompanying software for One Earth submission "A software package for assessing terrestrial planetary boundaries"
- lpjmlkit: Toolkit for Basic LPJmL Handling
- boundaries: Planetary Boundary Status based on LPJmL simulations
- A livestock density input for LPJmL
- Code and data for "Multiple planetary boundaries preclude BECCS outside of agricultural areas"
- Example Data for the R package lpjmlkit (LPJmLData Vignette)
- LPJmL5 agricultural system simulations for use in MAgPIE for ISIMIP3 scenarios
- LPJmL4 Potential Natural Vegetation (PNV) simulations for use in MAgPIE for ISIMIP3 scenarios
- A dataset to explore the influence of functional diversity for long-term forest biomass across six European regions using the model LPJmL-FIT
- Code and data for 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
- Data for GMD submission "biospheremetrics: An R package to calculate two complementary terrestrial biosphere integrity indicators: human colonization of the biosphere (BioCol) and risk of ecosystem destabilization (EcoRisk)"
- Water variability dictates critical precipitation for the Amazon forest based on LPJmL model
- Data for Richardson et al. 2023, Science Advances
- Data for Drüke et al. 2023, Communication Earth and Environment
- LPJmL4 and LPJmL5 source code for FSEC Food Systems Transformation assessment
- Code for LandInG v.1.0 sample application at 5 arc-minute and 30 arc-minute resolution
- Data for Beringer et al.: CO2 fertilization effect may balance climate change impacts on oil palm cultivation
- Workflow for Global crop yields can be lifted by timely adaptation of growing periods to climate change
- Original source code as used in Werner et al. "Land-neutral negative emissions through biochar-based fertilization – global potentials driven by management and pyrolysis conditions" -- submitted to Mitigation and Adaptation Strategies for Global Change
- LPJmL5.0-grazing Model Code
- LPJmL Version 4 with Newton root finding method
- Original source code as used in Werner et al., 2022 "Potential of land-neutral negative emissions through biochar sequestration" -- submitted to Earth's Future
- LPJmL5.0-tillage-cc model source code, management simulation outputs, and R script for post-processing data
- Model Output data for Wirth et al., 2021: Do details matter? Disentangling the processes related to plant species interactions in two grassland models of different complexity
- N application rates from mineral fertiliser and manure
- LPJmL Model Source Code (version 5.0-tillage2)
- Output data for the GMD publication gmd-2020-436
- Model code for the GMD publication gmd-2020-436 (1.0)
- Model outputs of LPJmL4.0-VR, LPJmL4.0-VR-base and LPJmL4.0 as used in Sakschewski et al. 2021 (https://doi.org/10.5194/bg-2020-97)
- Model code of LPJmL4.0-VR as used in Sakschewski et al. 2021 (https://doi.org/10.5194/bg-2020-97)
- Original source code as used in Stenzel et al., 2020 "Irrigation of biomass plantations may globally increase water stress more than climate change" -- submitted to Nature Communications
- Water use in global livestock production–opportunities and constraints for increasing water productivity
- LPJmL (version 5.0-tillage) Model Code
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL winter wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL spring wheat simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL soybean simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL rice simulations
- AgMIP's global gridded crop model intercomparison (GGCMI) phase II CTWN-A archive: priority 1 outputs from LPJmL maize simulations
- Freshwater resources under success and failure of the Paris climate agreement
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL wheat
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sunflower
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sugar cane
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL sugar beet
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL soy
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL rice
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL rapeseed
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL millet
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL managed grass
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL maize
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL groundnut
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL field pea
- AgMIP's Global Gridded Crop Model Intercomparison (GGCMI) phase 1 output data set: LPJmL cassava