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...
International audienceTo increase our understanding of how humans have altered the Earth's surface a...
International audienceTo increase our understanding of how humans have altered the Earth's surface a...
International audienceTo increase our understanding of how humans have altered the Earth's surface a...
This dataset consists of half-degree resolution simulated land use/land cover projections (in hectar...
Dynamic global vegetation models (DGVMs) are important tools for modelling impacts of global change ...
The effects of land-use changes on climate are assessed using specified-concentration simulations co...
Dynamic global vegetation models (DGVMs) are important tools for modelling impacts of global change ...
The pressure on land as required input in competing uses fuelled research on trade-offs in land use ...
In order to better assess the role of agriculture within the global climate-vegetation system, we pr...
This study projects land cover probabilities under climate change for corn (maize), soybeans, spring...
The effects of land-use changes on climate are assessed using specified-concentration simulations co...
The pressure on land as required input in competing uses fuelled research on trade-offs in land use ...
Understanding the global distribution of agricultural production provides valuable context for polic...
In order to better assess the role of agriculture within the global climate-vegetation system, we pr...
Understanding the global distribution of agricultural production provides valuable context for polic...
International audienceTo increase our understanding of how humans have altered the Earth's surface a...
International audienceTo increase our understanding of how humans have altered the Earth's surface a...
International audienceTo increase our understanding of how humans have altered the Earth's surface a...
This dataset consists of half-degree resolution simulated land use/land cover projections (in hectar...
Dynamic global vegetation models (DGVMs) are important tools for modelling impacts of global change ...
The effects of land-use changes on climate are assessed using specified-concentration simulations co...
Dynamic global vegetation models (DGVMs) are important tools for modelling impacts of global change ...
The pressure on land as required input in competing uses fuelled research on trade-offs in land use ...
In order to better assess the role of agriculture within the global climate-vegetation system, we pr...
This study projects land cover probabilities under climate change for corn (maize), soybeans, spring...
The effects of land-use changes on climate are assessed using specified-concentration simulations co...
The pressure on land as required input in competing uses fuelled research on trade-offs in land use ...
Understanding the global distribution of agricultural production provides valuable context for polic...
In order to better assess the role of agriculture within the global climate-vegetation system, we pr...
Understanding the global distribution of agricultural production provides valuable context for polic...
International audienceTo increase our understanding of how humans have altered the Earth's surface a...
International audienceTo increase our understanding of how humans have altered the Earth's surface a...
International audienceTo increase our understanding of how humans have altered the Earth's surface a...