Indigenous Indicators to Predict Weather: KwaZulu-Natal.
Based on the research, farmers in KwaZulu-Natal and other parts of Southern Africa use a variety of indigenous indicators to predict weather. These include:
Wind and cloud patterns: Observing the direction and type of wind, as well as the formation and color of clouds. Dark clouds often indicate heavy rainfall.
Animal and bird behavior: Changes in the behavior of animals, such as birds building nests at higher locations (indicating heavy rains) or increased termite activity (indicating impending rain).
Moon shape and position: The shape of the crescent moon and its orientation are used to predict rainfall. A "dirty" moon (hazy or halo-encircled) is associated with significant rainfall.
Plant phenology: The blooming and fruiting patterns of certain plants can signal upcoming weather conditions.
Astronomical indicators: The position of the sun and stars can provide insights into upcoming weather patterns.
These methods are often passed down through generations and are crucial for farmers to adapt their agricultural practices to climatic risks.
REFERENCES:
Vilakazi BS, Zengeni R, Mafongoya P. Indigenous strategies used by selected farming communities in KwaZulu Natal, South Africa, to manage soil, water, and climate extremes and to make weather predictions. Land Degrad Dev. 2019; 30: 1999–2008. https://doi-org.lp.hscl.ufl.edu/10.1002/ldr.3395
Key Themes in Indigenous Weather Prediction:
Observation of Natural Phenomena:
Indigenous knowledge systems rely heavily on observing patterns in animal behavior, plant phenology, and atmospheric conditions. For example, changes in bird migration patterns, the flowering of specific plants, and the behavior of insects are often used as indicators of upcoming weather changes.
Astronomical Observations: Many indigenous cultures use astronomical observations, such as the position of stars and the phases of the moon, to predict seasonal changes and weather patterns. The study of stellar scintillation (twinkling) is used by indigenous peoples in the Torres Strait to predict weather and seasonal change.
Integration of Ecological Knowledge: Indigenous weather prediction is deeply integrated with ecological knowledge, recognizing the interconnectedness of all living things and the environment. This holistic approach allows for a nuanced understanding of weather patterns that often goes beyond the scope of modern meteorological models.
Sources:
Indigenous Astronomical Knowledge: Research highlights the sophisticated use of astronomical observations in weather prediction. For example, studies show how indigenous communities observe the patterns of stars, and the moon to predict seasonal shifts. (PDF) Indigenous use of stellar scintillation to predict weather and seasonal change. Retrieved from https://www.researchgate.net/publication/334516237_Indigenous_use_of_stellar_scintillation_to_predict_weather_and_seasonal_change
Indigenous Knowledge and Climate: The ni-Vanuata people have a rich tradition of using traditional knowledge to forecast climate events, by observing animals and plants. Here is how Traditional Knowledge in Vanuatu helps predict extreme weather by observing animals and plants - PreventionWeb.net. Retrieved from https://www.preventionweb.net/news/here-how-traditional-knowledge-vanuatu-helps-predict-extreme-weather-observing-animals-and
General overview of Indigenous weather forecasting: Information about the ancient practice of weather forecasting by Indigenous cultures and how they used observations of animals and their environments. How Indigenous Cultures Perfected the Art of Weather Forecasting - Stellar History. Retrieved from https://www.stellarhistory.com/indigenous-cultures-weather-forecasting
Important Considerations:
It's crucial to acknowledge the diversity of indigenous knowledge systems, as weather prediction methods vary significantly across different cultures and regions.
The integration of indigenous knowledge with modern meteorological science can enhance our understanding of climate variability and improve weather forecasting accuracy.
Related content
journals.ametsoc.org
pmc.ncbi.nlm.nih.gov
only.one
pmc.ncbi.nlm.nih.gov