ISSN 2736-1586
African Journal of Geography and Regional Planning ISSN 3627-8945 Vol. 6 (11), pp. 001-007, November, 2019. © International Scholars Journals
Full Length Research Paper
Indigenous knowledge in seasonal rainfall prediction in Tanzania: A case of the South-western Highland of Tanzania
Ladislaus B. Chang’a1,2*, Pius Z. Yanda2 and James Ngana2
1Tanzania Meteorological Agency, Dar es Salaam, Tanzania.
2Institute of Resource Assessment, University of Dar es Salaam, Tanzania.
Accepted 16 July, 2019
Abstract
This paper describes how farmers in the South-western Highland of Tanzania predict rainfall using local environmental indicators and astronomical factors. The perceptions of the local communities on conventional weather and climate forecasts were also assessed. The study was conducted in Rungwe and Kilolo districts in Mbeya and Iringa regions respectively. Participatory rural appraisal methods, key informant interviews and focus group discussions were used in data collection and the collected data was analyzed using Statistical package for social science. It has been found that plant phenology is widely used by local communities in both districts in seasonal rainfall forecasting. Early and significant flowering of Mihemi (Erythrina abyssinica) and Mikwe (Brachystegia speciformis) trees from July to November has been identified to be one of the signals of good rainfall season. The behaviour of Dudumizi bird has been singled out as one of the best indicator for rainfall. Both Indigenous Knowledge specialists and TMA experts have predicted 2009/2010 rainfall season to feature normal to above normal rainfall. Systematic documentation and subsequent integration of indigenous knowledge into conventional weather forecasting system is recommended as one of the strategy that could help to improve the accuracy of seasonal rainfall forecasts under a changing climate.
Key words: Climate variability, seasonal forecasting, El Nino, Dudumizi, indigenous knowledge.