The FGGD CV of LGP map is a global raster datalayer with a resolution of 5 arc-minutes. Each pixel contains an average coefficient of variation of LGP for the pixel area over the period 1901-1996. The data are from FAO and IIASA, 2000, Global agro-ecological zones, as reported in FAO and IIASA, 2007, Mapping biophysical factors that influence agricultural production and rural vulnerability, by H. von Velthuizen et al.

The FGGD climate constraints map is a global raster datalayer with a resolution of 5 arc-minutes. Each pixel contains a class value for the degree to which climate constrains agricultural production potential in the pixel area. The data are from FAO and IIASA, 2000, Global agro-ecological zones, as reported in FAO and IIASA, 2007, Mapping biophysical factors that influence agricultural production and rural vulnerability, by H. von Velthuizen et al.

The FGGD CV of LGP map is a global raster datalayer with a resolution of 5 arc-minutes. Each pixel contains an average coefficient of variation of LGP for the pixel area over the period 1901-1966. The data are from FAO and IIASA, 2000, Global agro-ecological zones, as reported in FAO and IIASA, 2007, Mapping biophysical factors that influence agricultural production and rural vulnerability, by H. von Velthuizen et al.

The FGGD thermal climate zone map is a global raster datalayer with a resolution of 5 arc-minutes. Each pixel contains a class value for the dominant thermal climate found in the pixel. The underlying temperature data are from the Climate Research Unit (CRU) at the University of East Anglia-Norwich, as reported in FAO and IIASA, 2007, Mapping biophysical factors that influence agricultural production and rural vulnerability, by H. von Velthuizen et al.

The FGGD LGP zone map is a global raster datalayer with a resolution of 5 arc-minutes. Each pixel contains a class value for the dominant LGP zone found in the pixel. The data are from FAO and IIASA, 2000, Global agro-ecological zones, as reported in FAO and IIASA, 2007, Mapping biophysical factors that influence agricultural production and rural vulnerability, by H. von Velthuizen et al.

Dryland map derived from the Aridity index map (P/PET).

April 1st-Decadal Rainfall 1996. The APR1_95 grid data layer is comprised of 1152x1152 derivative raster precipitation features derived based on 8 kilometers data originally from EDC. 2nd and 3rd Decadal Rainfall from January to December is also available for download. Acronyms and Abbreviations: EDC - USGS EROS (Earth Resources Observation Systems) Data Center

April 1st-Decadal Short Mean Rainfall. The APR1_SM grid data layer is comprised of 1152x1152 derivative raster precipitation features derived based on 8 kilometers data originally from EDC. 2nd and 3rd Decadal Rainfall from January to December is also available for download. Acronyms and Abbreviations: EDC - USGS EROS (Earth Resources Observation Systems) Data Center

The Food and Agriculture Organization of the United Nations (FAO) with the collaboration of the International Institute for Applied Systems Analysis (IIASA), has developed a system that enables rational land-use planning on the basis of an inventory of land resources and evaluation of biophysical limitations and potentials. This is referred to as the Agro-ecological Zones (AEZ) methodology.

The Global Climate Risk Index 2020 analyses to what extent countries and regions have been affected by impacts of weather-related loss events (storms, floods, heat waves etc.). The most recent data available - for 2018 - were taken into account in this map. Source: The Climate Risk Index is based on data from Munich RE. Germanwatch