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On October 29, 2021 at 1:47:07 PM UTC, Gravatar Heiko Figgemeier:

  • Updated description of GAEZ Global Agro-ecological Zones v3.0 from

    "The Agro‐Ecological Zones (AEZ) approach is based on principles of land evaluation (FAO 1976, 1984 and 2007). The AEZ concept was originally developed by the Food and Agriculture organization of the United Nations (FAO). FAO, with the collaboration of IIASA has over time, further developed and applied the AEZ methodology, supporting databases and software packages. The current Global AEZ (GAEZ v 3.0) provides a major update of data and extension of the methodology compared to the release of GAEZ in 2002 (Fischer, et. al., 2002). GAEZ v 3.0 incorporates two important new global data sets on “Actual Yield and Production’ and “Yield and Production Gaps” between potentials and actual yield and production. Geo‐referenced global climate, soil and terrain data are combined into a land resources database, commonly assembled on the basis of global grids, typically at 5 arc‐minute and 30 arc‐second resolutions. Climatic data comprises precipitation, temperature, wind speed, sunshine hours and relative humidity, which are used to compile agronomically meaningful climate resources inventories including quantified thermal and moisture regimes in space and time." <br> *Fischer, G.; Nachtergaele, F. O.; Prieler, S.; Teixeira, E.; Toth, G.; van Velthuizen, H. et al. (2016): Global Agro-ecological Zones (GAEZ v3.0) - Model Documentation.*
    to
    GAEZ v 3.0 incorporates two important new global data sets on “Actual Yield and Production’ and “Yield and Production Gaps” between potentials and actual yield and production. Geo‐referenced global climate, soil and terrain data are combined into a land resources database, commonly assembled on the basis of global grids, typically at 5 arc‐minute and 30 arc‐second resolutions. Climatic data comprises precipitation, temperature, wind speed, sunshine hours and relative humidity, which are used to compile agronomically meaningful climate resources inventories including quantified thermal and moisture regimes in space and time.