Original Research

Indigenous early warning indicators for improving natural hazard predictions

Masego M. Motsumi, Livhuwani D. Nemakonde
Jàmbá: Journal of Disaster Risk Studies | Vol 17, No 1 | a1754 | DOI: https://doi.org/10.4102/jamba.v17i1.1754 | © 2025 Masego M. Motsumi, Livhuwani D. Nemakonde | This work is licensed under CC Attribution 4.0
Submitted: 19 July 2024 | Published: 04 April 2025

About the author(s)

Masego M. Motsumi, African Centre for Disaster Studies, Unit for Environmental Science and Management, Faculty of Natural and Agricultural Sciences, North-West University, Potchefstroom, South Africa
Livhuwani D. Nemakonde, African Centre for Disaster Studies, Unit for Environmental Science and Management, Faculty of Natural and Agricultural Sciences, North-West University, Potchefstroom, South Africa

Abstract

Abstract

Indigenous knowledge plays a crucial role in predicting hazardous events, particularly for rural communities who are not reached by conventional early warning systems. Historical knowledge of hazard occurrence stored in the repository of these communities combined with their ability to observe environmental indicators, enhances their preparedness for, response to, and recovery from disasters. This study sought to gain insights into the Indigenous indicators used by rural communities in the Joe Morolong Local Municipality, Northern Cape, South Africa, to predict natural hazards, and explores how these indicators could complement meteorological seasonal climate and weather forecasts. The study was conducted in Joe Morolong Local Municipality, Northern Cape, South Africa. A phenomenological approach, which is a form of qualitative research design, was employed, with data collected through focus group discussions and virtual interviews with key informants, involving 109 participants. The findings reveal that communities rely on various environmental signs, including changes in vegetation, lunar cycles, cloud formations, bird behaviors, and wind speed and direction, to predict and anticipate hazardous events. These traditional methods, refined over generations, provide localised, trusted, and contextually relevant early warning systems that enhance disaster preparedness. By recognising and integrating these Indigenous indicators with meteorological forecasts, disaster risk management efforts can be strengthened, ensuring that rural communities have more comprehensive and effective tools for mitigating the risks and impacts of natural hazards.

Contribution: This study emphasises the value of Indigenous knowledge as a vital resource for enhancing disaster and climate resilience, as well as improving early warning systems.


Keywords

natural hazards; Indigenous knowledge (IK); indigenous early warning indicators; seasonal climate and weather forecast; disasters; complementary.

Sustainable Development Goal

Goal 13: Climate action

Metrics

Total abstract views: 2456
Total article views: 5101

 

Crossref Citations

1. Resilience through the integration of governance, lived experience, and knowledge
Dewald van Niekerk
Jàmbá Journal of Disaster Risk Studies  vol: 17  issue: 1  year: 2025  
doi: 10.4102/JAMBA.v17i1.1988

2. Dreams and data: integrating indigenous knowledge into multi-hazard early warning systems in coastal Mozambique
Fortune Mangara, Livhuwani David Nemakonde, Annegrace Zembe, Paul Chipangura
Disaster Prevention and Management: An International Journal  vol: 35  issue: 6  first page: 127  year: 2026  
doi: 10.1108/DPM-01-2026-0003

3. Rangeland Conditions and Grazing Capacities on Livestock Farms During and After Drought in Three Biomes in South Africa
Ngoako L. Letsoalo, Igshaan M. Samuels, Julius T. Tjelele, Hosia T. Pule, Clement F. Cupido, Adriaan Engelbrecht
Land  vol: 14  issue: 9  first page: 1836  year: 2025  
doi: 10.3390/land14091836

4. The challenges of collaboration between Indigenous Knowledge System and scientific Knowledge System on biodiversity conservation in West Africa: a semi-systematic narrative review
Amidu Owolabi Ayeni, Gbenga Adesina Aborisade, Alabi Sebili Okanlawon Soneye
Cogent Social Sciences  vol: 12  issue: 1  year: 2026  
doi: 10.1080/23311886.2026.2643478