In-season decision making 2016/2017
Early resilience decisions based on climate information
This case study highlights the fact that many different decisions need to be made using climate information. The information needed will differ for different livelihood groups. Quick reactions using climate information can lead to real impact.
A little further north from the conflict area in case-study 1, we were running farmer field schools by a river in fodder production. Once October starts, we’re on rain watch, we need to know are they late and are they below normal. In 2016, by the 7th of November, I was getting really worried. The initial rains looked late, but no-one was making decisions because the food security forecasts by FewsNet don't come out until January. We decided to trust the data we had seen and immediately doubled our investment - twice the registered people and double the amount. The Gu rains were below average, then a stressed dry season, then below average again.
We provided $25,000 to these river communities to expand the field schools to grow fodder to distribute to nearby areas. This provided massive impact as it cushioned the impact of the bad season. Also, because demand was so high and the drought made other fodder production low, we didn't mind saturating the markets.
We estimated the farmers sold $350,000 USD fodder, the programme cost us $60,000 USD to run and it cushioned the whole area from the drought.