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
11 citations as recorded by crossref.
- 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
- 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
- Global assessment of future sectoral water scarcity under adaptive inner-basin water allocation measures Z. Huang et al. 10.1016/j.scitotenv.2021.146973
- 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
- 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
- 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
- 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
- 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
11 citations as recorded by crossref.
- 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
- 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
- Global assessment of future sectoral water scarcity under adaptive inner-basin water allocation measures Z. Huang et al. 10.1016/j.scitotenv.2021.146973
- 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
- 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
- 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
- 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
- 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
Latest update: 09 Jun 2023
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...
