Articles | Volume 9, issue 9
https://doi.org/10.5194/gmd-9-3055-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-9-3055-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Model description paper
| 
02 Sep 2016
Model description paper |
| 02 Sep 2016
Downscaling land use and land cover from the Global Change Assessment Model for coupling with Earth system models
Yannick Le Page
CORRESPONDING AUTHOR
Centro de Estudos Florestais, Instituto Superior de Agronomia,
Universidade de Lisboa Department Tapada da Ajuda, 1349-017 Lisbon, Portugal
Pacific Northwest National Laboratory, Joint Global Change Research
Institute, University of Maryland, College Park, MD 20740, USA
Tris O. West
Centro de Estudos Florestais, Instituto Superior de Agronomia,
Universidade de Lisboa Department Tapada da Ajuda, 1349-017 Lisbon, Portugal
Robert Link
Centro de Estudos Florestais, Instituto Superior de Agronomia,
Universidade de Lisboa Department Tapada da Ajuda, 1349-017 Lisbon, Portugal
Pralit Patel
Centro de Estudos Florestais, Instituto Superior de Agronomia,
Universidade de Lisboa Department Tapada da Ajuda, 1349-017 Lisbon, Portugal
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Cited
24 citations as recorded by crossref.
- Diverse carbon dioxide removal approaches could reduce impacts on the energy–water–land system J. Fuhrman et al. 10.1038/s41558-023-01604-9
- Data-Driven Projections Demonstrate Non-Farming Use of Cropland in Non-Major Grain-Producing Areas: A Case Study of Shaanxi Province, China L. Linghu et al. 10.3390/agronomy13082060
- Calibration and analysis of the uncertainty in downscaling global land use and land cover projections from GCAM using Demeter (v1.0.0) M. Chen et al. 10.5194/gmd-12-1753-2019
- Uncertain Spatial Pattern of Future Land Use and Land Cover Change and Its Impacts on Terrestrial Carbon Cycle Over the Arctic–Boreal Region of North America M. Luo et al. 10.1029/2023EF003648
- Demeter – A Land Use and Land Cover Change Disaggregation Model C. Vernon et al. 10.5334/jors.208
- Metis – A Tool to Harmonize and Analyze Multi-Sectoral Data and Linkages at Variable Spatial Scales Z. Khan et al. 10.5334/jors.292
- Harmonization of global land use change and management for the period 850–2100 (LUH2) for CMIP6 G. Hurtt et al. 10.5194/gmd-13-5425-2020
- Downscaling global land-use/cover change scenarios for regional analysis of food, energy, and water subsystems M. Yourek et al. 10.3389/fenvs.2023.1055771
- Structural succession of land resources under the influence of different policies: A case study for Shanxi Province, China Z. Yu et al. 10.1016/j.landusepol.2023.106810
- Global land use for 2015–2100 at 0.05° resolution under diverse socioeconomic and climate scenarios M. Chen et al. 10.1038/s41597-020-00669-x
- Global assessment of future sectoral water scarcity under adaptive inner-basin water allocation measures Z. Huang et al. 10.1016/j.scitotenv.2021.146973
- Spatial Distribution of Global Cultivated Land and Its Variation between 2000 and 2010, from Both Agro-Ecological and Geopolitical Perspectives M. Cao et al. 10.3390/su11051242
- Projecting Diversity Conflicts of Future Land System Pathways in China Under Anthropogenic and Climate Forcing X. Lin et al. 10.1029/2022EF003406
- Land use projections in China under global socioeconomic and emission scenarios: Utilizing a scenario-based land-use change assessment framework N. Dong et al. 10.1016/j.gloenvcha.2018.04.001
- A mathematical programming approach for downscaling multi-layered multi-constraint land-use models R. Ramos et al. 10.1080/13658816.2023.2241144
- Future bioenergy expansion could alter carbon sequestration potential and exacerbate water stress in the United States Y. Cheng et al. 10.1126/sciadv.abm8237
- Global agricultural green and blue water consumption under future climate and land use changes Z. Huang et al. 10.1016/j.jhydrol.2019.04.046
- Downscaling Switzerland Land Use/Land Cover Data Using Nearest Neighbors and an Expert System G. Giuliani et al. 10.3390/land11050615
- Introducing LandScaleR: A novel method for spatial downscaling of land use projections T. Woodman et al. 10.1016/j.envsoft.2023.105826
- Disaggregation of the Copernicus Land Use/Land Cover (LULC) and Population Density Data to Fit Mesoscale Flood Risk Assessment Requirements in Partially Urbanized Catchments in Croatia B. Horvat & N. Krvavica 10.3390/land12112014
- Spatial Sequential Modeling and Predication of Global Land Use and Land Cover Changes by Integrating a Global Change Assessment Model and Cellular Automata M. Cao et al. 10.1029/2019EF001228
- A 1 km global cropland dataset from 10 000 BCE to 2100 CE B. Cao et al. 10.5194/essd-13-5403-2021
- Mapping the spatial heterogeneity of global land use and land cover from 2020 to 2100 at a 1 km resolution T. Zhang et al. 10.1038/s41597-023-02637-7
- Simulation of LUCC Dynamics and Estimation of Carbon Stock under Different SSP-RCP Scenarios in Heilongjiang Province F. Gao et al. 10.3390/land12091665
24 citations as recorded by crossref.
- Diverse carbon dioxide removal approaches could reduce impacts on the energy–water–land system J. Fuhrman et al. 10.1038/s41558-023-01604-9
- Data-Driven Projections Demonstrate Non-Farming Use of Cropland in Non-Major Grain-Producing Areas: A Case Study of Shaanxi Province, China L. Linghu et al. 10.3390/agronomy13082060
- Calibration and analysis of the uncertainty in downscaling global land use and land cover projections from GCAM using Demeter (v1.0.0) M. Chen et al. 10.5194/gmd-12-1753-2019
- Uncertain Spatial Pattern of Future Land Use and Land Cover Change and Its Impacts on Terrestrial Carbon Cycle Over the Arctic–Boreal Region of North America M. Luo et al. 10.1029/2023EF003648
- Demeter – A Land Use and Land Cover Change Disaggregation Model C. Vernon et al. 10.5334/jors.208
- Metis – A Tool to Harmonize and Analyze Multi-Sectoral Data and Linkages at Variable Spatial Scales Z. Khan et al. 10.5334/jors.292
- Harmonization of global land use change and management for the period 850–2100 (LUH2) for CMIP6 G. Hurtt et al. 10.5194/gmd-13-5425-2020
- Downscaling global land-use/cover change scenarios for regional analysis of food, energy, and water subsystems M. Yourek et al. 10.3389/fenvs.2023.1055771
- Structural succession of land resources under the influence of different policies: A case study for Shanxi Province, China Z. Yu et al. 10.1016/j.landusepol.2023.106810
- Global land use for 2015–2100 at 0.05° resolution under diverse socioeconomic and climate scenarios M. Chen et al. 10.1038/s41597-020-00669-x
- Global assessment of future sectoral water scarcity under adaptive inner-basin water allocation measures Z. Huang et al. 10.1016/j.scitotenv.2021.146973
- Spatial Distribution of Global Cultivated Land and Its Variation between 2000 and 2010, from Both Agro-Ecological and Geopolitical Perspectives M. Cao et al. 10.3390/su11051242
- Projecting Diversity Conflicts of Future Land System Pathways in China Under Anthropogenic and Climate Forcing X. Lin et al. 10.1029/2022EF003406
- Land use projections in China under global socioeconomic and emission scenarios: Utilizing a scenario-based land-use change assessment framework N. Dong et al. 10.1016/j.gloenvcha.2018.04.001
- A mathematical programming approach for downscaling multi-layered multi-constraint land-use models R. Ramos et al. 10.1080/13658816.2023.2241144
- Future bioenergy expansion could alter carbon sequestration potential and exacerbate water stress in the United States Y. Cheng et al. 10.1126/sciadv.abm8237
- Global agricultural green and blue water consumption under future climate and land use changes Z. Huang et al. 10.1016/j.jhydrol.2019.04.046
- Downscaling Switzerland Land Use/Land Cover Data Using Nearest Neighbors and an Expert System G. Giuliani et al. 10.3390/land11050615
- Introducing LandScaleR: A novel method for spatial downscaling of land use projections T. Woodman et al. 10.1016/j.envsoft.2023.105826
- Disaggregation of the Copernicus Land Use/Land Cover (LULC) and Population Density Data to Fit Mesoscale Flood Risk Assessment Requirements in Partially Urbanized Catchments in Croatia B. Horvat & N. Krvavica 10.3390/land12112014
- Spatial Sequential Modeling and Predication of Global Land Use and Land Cover Changes by Integrating a Global Change Assessment Model and Cellular Automata M. Cao et al. 10.1029/2019EF001228
- A 1 km global cropland dataset from 10 000 BCE to 2100 CE B. Cao et al. 10.5194/essd-13-5403-2021
- Mapping the spatial heterogeneity of global land use and land cover from 2020 to 2100 at a 1 km resolution T. Zhang et al. 10.1038/s41597-023-02637-7
- Simulation of LUCC Dynamics and Estimation of Carbon Stock under Different SSP-RCP Scenarios in Heilongjiang Province F. Gao et al. 10.3390/land12091665
Latest update: 24 Apr 2024
Short summary
A computer program was developed to transform maps of regional land use (e.g., crops) and land cover (e.g., forests) areas into gridded maps actually representing their spatial distribution within each region. This is important for studies of future environmental change: economic models project agricultural activities at the regional scale, but Earth system models need gridded information to project the impact of such activities on climate, biodiversity, water availability, and other aspects.
A computer program was developed to transform maps of regional land use (e.g., crops) and land...
