Zhang, H., & Nakagawa, H. (2018). Validation of Indigenous Knowledge for Disaster Resilience against River Flooding and Bank Erosion. In Science and Technology in Disaster Risk Reduction in Asia (pp. 57-76). Cambridge: Academic Press.
https://doi.org/10.1016/B978-0-12-812711-7.00005-5

has been cited by the following article:

• TITLE: The Use of Indigenous Knowledge in Predicting Changes in Seasonal Rainfall by Smallholder Farmers of Ruteete Subcounty, Kabarole District

  AUTHORS: Kandida Nyakaisiki, Isaac Mugume, Triphonia Ngailo, Rhoda Nakabugo

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

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.7 No.1, January 18, 2019

  ABSTRACT: 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.