Climate-risk management

Climate-risk management

Africa is the most affected continent by the repercussions of climate change. Weather-related hazards, droughts, acute temperature variations, and extreme precipitation – all of these endanger agriculture and food security. Africa is also one of the regions that are less prepared for these weather-related risks: 2/3 of African countries have little or no capacity to manage these risks. Good climate-risk management depends on the quality – and sharing – of collected data, as well as on stakeholder involvement.

AAA proposes 4 types of solutions for climate-risk management:

  1. Developing observation and forecasting systems: Improve the weather and climate observation network (make more compact and modern); improve weather forecasting systems; develop agro-meteorological forecasting systems for crops and forages (process and analyse data – including satellite data – on weather and agriculture); develop earth-observation facilities (through remote sensing space systems, mapping, GIS, GPS and other geomatic applications);
  2. Develop index-based agricultural insurance, an insurance product based on weather and satellite indicators;
  3. Developing academic and continuous training programmes: Provide trainings in Geographic Information Systems, in agro-meteorology, in remote sensing space systems, in crop-and-forage monitoring systems, in WEB-GIS application for agro-meteorological information dissemination, etc.

Implementing these solutions requires the involvement of all stakeholders, namely, scientists and engineers (meteorologists, agronomists, and computer scientists), institutions (ministries, universities, agricultural research centres, insurance companies, etc.), and the farmers who have to be trained and supported.

Capacity building & funding solutions
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Soil management
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Launched upstream of COP22 organized in Morocco, the initiative for the Adaptation of African Agriculture (AAA)
aims to reduce the vulnerability of Africa and its agriculture to climate change.