Africa: Melding Science and Tradition to Tackle Climate Change
Published on by Water Network Research, Official research team of The Water Network in Government
In the latest of several partnerships between tradition and modern science aimed at improving resilience to climate change, pastoralists and meteorologists in Tanzania are working together to produce weather forecasts better suited to farmers.
The hope is that by drawing from both indigenous knowledge and contemporary weather forecasting techniques, crop yields could be increased.
"We wanted to see if the two can complement or supplement each other," Isaac Yonah, a senior officer coordinating community meetings employed by the Tanzania Meteorological Agency (TMA), told IRIN by phone.
Using traditional indicators such as the movement of red ants, the flowering of mango and other trees, the migration of termites and patterns and colours in the sky, farmers in Sakala village of Ngorongoro District compare their two-weekly forecasts with those released by the TMA.
"This is done... to validate how accurate their forecast is and to come up with a consensus [forecast]. In the last three seasons, more than 80 percent accuracy in the findings has been witnessed," said Yonah.
The project is a partnership between TMA, Hakikazi Catalyst (a non-profit organization), and the UK-based International Institute for Environment and Development (IIED).
"Strengthening such practices could enhance the resilience of communities which are most vulnerable to climate change. Upscaling the projects will see the knowledge gap between traditional and scientific bridged," said Yonah.
Research published in Uganda in 2013 detailed 23 different indicators used by traditional forecasters to predict weather.
"Farmers would profit from weather forecasts provided by governmental institutions. This [marriage of the old and new] will enable farmers to make sound decisions on how to fully exploit the seasonal distribution of rainfall to improve and stabilize crop yields," said Joshua Okonyo, author of the study Indigenous Knowledge of Seasonal Weather Forecasting.
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