Simulated Land Use/Land Cover Consistent with IMPACT Cropland Area Projections
This dataset consists of half-degree resolution simulated land use/land cover projections (in hectares) for the entire globe for the years 2005 and 2050. The future climates are derived from five General Circulation Models (GCMs) using Representative Carbon Pathway (RCP) 8.5 (Riahi, K. et al., 2011)...
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| Format: | Conjunto de datos |
| Language: | Inglés |
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International Food Policy Research Institute
2022
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| Online Access: | https://hdl.handle.net/10568/144589 |
| _version_ | 1855519999108579328 |
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| author | International Food Policy Research Institute |
| author_browse | International Food Policy Research Institute |
| author_facet | International Food Policy Research Institute |
| author_sort | International Food Policy Research Institute |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This dataset consists of half-degree resolution simulated land use/land cover projections (in hectares) for the entire globe for the years 2005 and 2050. The future climates are derived from five General Circulation Models (GCMs) using Representative Carbon Pathway (RCP) 8.5 (Riahi, K. et al., 2011). The Land Use and Land Cover (LULC) classes consist of nine natural vegetation categories (barren, savanna, deciduous/mixed, evergreen broadleaf forest, evergreen needleleaf forest, grassland, shrubland, tundra, and woody savanna) and twelve cropland categories (rainfed and irrigated for maize, rice, sorghum, soybeans, wheat, and all other crops). Three different data sources were used to estimate the natural vegetation component and each result simulation is reported separately. One set of cases indicates the potential area for the natural vegetation classes if there were no cropland. The second set includes cropland and thus the natural vegetation areas are reduced. The total cropland areas are derived from the IMPACT model with adjustments made for multi-cropping. |
| format | Conjunto de datos |
| id | CGSpace144589 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1445892024-10-25T07:54:52Z Simulated Land Use/Land Cover Consistent with IMPACT Cropland Area Projections International Food Policy Research Institute geographical information systems land-use mapping agricultural production land allocation land use land cover mapping land cover climate change This dataset consists of half-degree resolution simulated land use/land cover projections (in hectares) for the entire globe for the years 2005 and 2050. The future climates are derived from five General Circulation Models (GCMs) using Representative Carbon Pathway (RCP) 8.5 (Riahi, K. et al., 2011). The Land Use and Land Cover (LULC) classes consist of nine natural vegetation categories (barren, savanna, deciduous/mixed, evergreen broadleaf forest, evergreen needleleaf forest, grassland, shrubland, tundra, and woody savanna) and twelve cropland categories (rainfed and irrigated for maize, rice, sorghum, soybeans, wheat, and all other crops). Three different data sources were used to estimate the natural vegetation component and each result simulation is reported separately. One set of cases indicates the potential area for the natural vegetation classes if there were no cropland. The second set includes cropland and thus the natural vegetation areas are reduced. The total cropland areas are derived from the IMPACT model with adjustments made for multi-cropping. 2022 2024-06-04T09:44:18Z 2024-06-04T09:44:18Z Dataset https://hdl.handle.net/10568/144589 en https://doi.org/10.2499/p15738coll2.133064 Open Access International Food Policy Research Institute International Food Policy Research Institute. 2022. Simulated Land Use/Land Cover Consistent with IMPACT Cropland Area Projections. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/GGH1SX. Harvard Dataverse. Version 1. |
| spellingShingle | geographical information systems land-use mapping agricultural production land allocation land use land cover mapping land cover climate change International Food Policy Research Institute Simulated Land Use/Land Cover Consistent with IMPACT Cropland Area Projections |
| title | Simulated Land Use/Land Cover Consistent with IMPACT Cropland Area Projections |
| title_full | Simulated Land Use/Land Cover Consistent with IMPACT Cropland Area Projections |
| title_fullStr | Simulated Land Use/Land Cover Consistent with IMPACT Cropland Area Projections |
| title_full_unstemmed | Simulated Land Use/Land Cover Consistent with IMPACT Cropland Area Projections |
| title_short | Simulated Land Use/Land Cover Consistent with IMPACT Cropland Area Projections |
| title_sort | simulated land use land cover consistent with impact cropland area projections |
| topic | geographical information systems land-use mapping agricultural production land allocation land use land cover mapping land cover climate change |
| url | https://hdl.handle.net/10568/144589 |
| work_keys_str_mv | AT internationalfoodpolicyresearchinstitute simulatedlanduselandcoverconsistentwithimpactcroplandareaprojections |