Record Details

Simulated Land Use/Land Cover Consistent with IMPACT Cropland Area Projections

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Simulated Land Use/Land Cover Consistent with IMPACT Cropland Area Projections
 
Identifier https://doi.org/10.7910/DVN/GGH1SX
 
Creator International Food Policy Research Institute (IFPRI)
 
Publisher Harvard Dataverse
 
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.
 
Subject Agricultural Sciences
Social Sciences
land use
land cover
geographical information systems
agricultural production
land use mapping
land cover mapping
climate change
land allocation
world
 
Language English
 
Date 2021
 
Contributor IFPRI-KM
Robertson, Richard D. (International Food Policy Research Institute (IFPRI))
 
Type geospatial data