Launch and training of PyAEZ v2.0.0. A Python Package for agroecological zoning
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The agroecological zones (AEZ) methodology, developed by the Food and Agriculture Organization of the United Nations (FAO) and the International Institute for Applied Systems Analysis (IIASA), is a well-established modelling system for land evaluation to support sustainable land-use planning, stimulate agricultural investments, monitor the status of agricultural resources, and assess the impacts of climate change on agriculture.
The AEZ framework was initially established in response to an assessment of the world's natural resources' ability to meet the needs of its growing population, a fundamental issue for the international community. The framework principles and outputs contribute directly to several United Nations Sustainable Development Goals (SDGs) including SDGs1, 2, 12, 14, 15, and 17.
With the launch of PyAEZ version 2, a tool for AEZ, an event was organized from 28 November to 2 December 2022, for experts dealing with different aspects of agriculture, land and water resources, food security, agricultural development, policymaking, climate variability and climate change.