Author(s)

Kandida Nyakaisiki¹, Isaac Mugume^2,3, Triphonia Ngailo⁴, Rhoda Nakabugo²

¹Department of Forestry, Biodiversity & Tourism, Makerere University, Kampala, Uganda.
²Department of Geography, Geo-Informatics & Climatic Sciences, Makerere University, Kampala, Uganda.
³Hub for Environmental & Atmospheric Research, Kampala, Uganda.
⁴Department of General Studies, Dar es Salaam Technical Institute, Dar es Salaam, Tanzania.

Climate change has become a serious global challenge. Developing countries are the worst affected due to poor response mechanism to associated disasters. This study examined the application of the indigenous knowledge (IK) methods to predict the changes in seasonal rainfall. The study used data collected through individual interviews using a structured questionnaire. The study found vegetation changes (i.e. shading off leaves, excessive branching); changes in animal behavior (i.e. eating soil, restlessness), and other atmospheric indicators (i.e. changes in wind, color of stars and moon, earthquake, migrating of birds, swarming of bees, cold windy mornings and warm nights) being used to observe and monitor the changes in rainfall over the season. The study recommends a more detailed study to validate the IK and integrate it with the scientific knowledge so as to reduce local farmers’ vulnerability, increase resilience and strengthen their adaptive capacity to cope with climate change effects.

Indigenous Knowledge, Predictors of Seasonal Rainfall, Climate Change Adaptation, Indicators of Changes in Climate

Nyakaisiki, K. , Mugume, I. , Ngailo, T. and Nakabugo, R. (2019) The Use of Indigenous Knowledge in Predicting Changes in Seasonal Rainfall by Smallholder Farmers of Ruteete Subcounty, Kabarole District. Journal of Geoscience and Environment Protection, 7, 13-22. doi: 10.4236/gep.2019.71002.