Water-Based folk weather forecasting knowledge of the Negede community

Abstract

The main objective of this study is to explore the Negede community’s deep connection to water by examining their folk knowledge in water-based weather forecasting. Using a qualitative research approach, primary data were collected through interviews, observations, and focus group discussions, while relevant documents were reviewed to obtain secondary data. The informants included in the study were selected using purposive and snowball sampling techniques. The collected data were analyzed thematically, against the backdrop of social constructionism and ecological theoretical frameworks. The findings show that the community relies on folk knowledge systems to predict weather patterns and to guide various water-related activities such as transportation, social interactions, and economic practices. The key indicators used for weather prediction include wind direction, water current conditions, time of day (day or night), locally named weather conditions, lightning flashes, and stars that are called by specific folk names within the community. Based on these observations, travelers adjust their routes and activities accordingly. Overall, the findings demonstrate that folk weather forecasting plays a vital role in shaping daily decision-making, from determining travel routes and boat selection to planning social and economic activities. This study contributes to understanding how folk ecological knowledge fosters resilience and adaptation in the face of changing climate conditions.