Global Map (resolution 30 arcsec) of SubSoil Organic Carbon Stock (30 - 100 cm depth). This dataset has been created by spatializing the information of over 17.000 soil samples from many databases (WISE3, USDA-NRCS- SOTER. ISRIC, University of Tuscia, SPADE, Russia, FAO et al.). Land Cover information comes from FAO GLC-SHARE Land Cover Database and the Harmonized Soil World Database (ver 1.21 - http://webarchive.iiasa.ac.at/Research/LUC/External-World-soil-database/HTML/). Soil Organic Carbon (SOC) stock in the map is represented as a continuous value and expressed in Mg/ha.

The map presents soil quality ratings computed in GAEZ 2009 (IIASA/FAO GAEZ 2009 modelling framework) for low input farming conditions. Natural fertility status of soils as presented above may have further deteriorated over time through “nutrient mining”. Given proper soil management with appropriate fallowing, the natural status may be restored in the long run.

The map shows the ratio of total withdrawals to the available renewable water resource. Renewable water resources are downscaled to a five arc-minute grid. Water is considered scarce when the withdrawals exceed 40% of the renewable resource. According to statistics compiled by FAO (FAOSTAT),several countries in North Africa, the Middle East and Central Asia withdraw more water than their total renewable resources. Domestic water withdrawals are downscaled by applying the per capita domestic water use to population of each pixel. Industrial water withdrawals were downscaled by using the industrial water use per unit GDP and applying downscaled information on GDP. Water consumption is assumed to be 30% of domestic use and 10% of industrial use. Finally, agricultural water consumption is assumed to be the crop water deficit in irrigated areas generated in the AEZ analysis and water used for livestock consumption, applied to a global spatial data set of livestock distribution prepared by FAO.Source of the map: GAEZ 2009 and AQUASTAT; downscaling simulations by authors.

Source: WRI (World Resources Institute) Forest Atlas

H1k_WS: 6-level watershed model based on the HYDRO1k, reprojected, verified, and downstream encoded version of the 6th level Pfafstetter encoded H1k watersheds. The H1K_LEV6 shapefile data layer is the comprised of 7133 derivative raster watershed and flow network features derived based on 4 000 cell data originally from HYDRO1k. The layer provides nominal analytical/mapping at 1:2 000 000. Data processing is complete globally, this is an African subset. Acronyms and Abbreviations: HYDRO1k - Global Hydrological 1 kilometre database of hydrologically filled DEMs, "river" flow, and watershed networks based on the GTopo30; GTopo30 - GT30/GTopo30 - Global Topographic 30 arc second DEM database, nominal 1km postings.

The map shows the total annual water withdrawal. Water withdrawals are downscaled to to a five arc-minute grid. Water is considered scarce when the withdrawals exceed 40% of the renewable resource. According to statistics compiled by FAO (FAOSTAT), several countries in North Africa, the Middle East and Central Asia withdraw more water than their total renewable resources. Domestic water withdrawals are downscaled by applying the per capita domestic water use to population of each pixel. Industrial water withdrawals were downscaled by using the industrial water use per unit GDP and applying downscaled information on GDP. Water consumption is assumed to be 30% of domestic use and 10% of industrial use. Finally, agricultural water consumption is assumed to be the crop water deficit in irrigated areas generated in the AEZ analysis and water used for livestock consumption, applied to a global spatial data set of livestock distribution prepared by FAO. Source of the map: GAEZ 2009 and AQUASTAT; downscaling simulations by authors.

The map, computed in GAEZ 2009 (IIASA/FAO GAEZ 2009 modelling framework), shows soil workability constraints to crop cultivation. Soil workability constraints are seen as major obstacle to crop cultivation, which are, for example, prevalent in large parts of Ethiopia, Sudan and central India. Soil workability constraints may be reduced with the use of high input and appropriate soil management.

The map identifies those countries that are most vulnerable to food insecurity. A country’s vulnerability is estimated according to: (1) population growth in 2000 to 2050 projected by the United Nations; (2) wealth expressed in GDP per capita in 2005; (3) land potential for rain-fed cereal production per capita of 2050 population; (4) total renewable water resources per capita of 2050 population; and (5) impact of climate change projected in 2050 on crop production potential. High income countries with 2005 GDP per capita exceeding US$ 7500 (in 1990 US$) are assumed not to be vulnerable to food insecurity. Source: Data compilation by authors from various sources (United Nations, World Bank, FAO, GAEZ 2009).

WRIBASIN: Watersheds of the World published by the World Resources Institute, A cleaned version of this watershed delineation enhanced to include WRI's original publication attributes. The WRIBASIN shapefile data layer is comprised of 254 derivative vector major river basins features derived based on ~250 000 cell data originally from WRI-Rutgers. Data processing is complete globally, this is an African subset.

This map provides a representation of levels of water scarcity by major hydrological basin, expressed in terms of the ratio between irrigation water that is consumed by plants through evapotranspiration and renewable fresh water resources. Contrarily to previous water scarcity maps, this map uses consumptive use of water rather than water withdrawal. Renewable fresh water resources as well as net irrigation water requirements in the river basin are calculated through a water balance model, with information regarding climate, soils and irrigated agriculture as input data. The legend distinguishes three classes: • Water scarcity in river basins where evapotranspiration due to irrigation is less than 10% of the total renewable water resources is classified as low; • Water scarcity in river basins where evapotranspiration due to irrigation is in between 10% and 20% of the total renewable water resources is classified as moderate; • Water scarcity in river basins where evapotranspiration due to irrigation is more than 20% of the total renewable water resources is classified as high.