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Seasonal Climate Prediction and Adaptation Using Indigenous Knowledge Systems in Agriculture Systems in Southern Africa: A Review

Obert Jiri, Paramu Mafongoya, Chipo Plaxedes Mubaya, Owen Mafongoya · 2016 · Journal of Agricultural Science

Summary. Rural farmers in southern Africa have historically used indigenous knowledge to adapt to climate variability and droughts. However, this traditional knowledge is becoming unreliable as climate change intensifies. The paper argues that integrating indigenous knowledge systems with scientific seasonal forecasts offers the most promising approach to help farmers reduce vulnerability, build resilience, and improve their adaptive capacity to climate shocks.

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Jiri, O., Mafongoya, P., Mubaya, C. P., & Mafongoya, O.. (2016). Seasonal Climate Prediction and Adaptation Using Indigenous Knowledge Systems in Agriculture Systems in Southern Africa: A Review. Journal of Agricultural Science. https://doi.org/10.5539/jas.v8n5p156

Details

DOI
10.5539/jas.v8n5p156
Countries
South Africa, Zimbabwe, Botswana, Namibia, Zambia, Malawi
Regions
Africa
Categories
climate-and-environment, food-systems, indigenous-innovation, general-innovation
Added
2026-08-01