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Indigenous knowledge indicators employed by farmers for adaptation to climate change in rural South Africa

Author

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  • Zongho Kom
  • Nthaduleni S. Nethengwe
  • Sylvester Mpandeli
  • Hector Chikoore

Abstract

The majority of indigenous farmers in South Africa depend on rain-fed agricultural production for their livelihoods. Reliable indigenous weather forecasts are, therefore, required to guide rural farmers’ decisions in regard to climate change. Much of the literature has shown that western scientific knowledge has failed at rural level. Indigenous knowledge has, for the past century assisted rural farmers’ households in tackling the challenges of climate stressors and enhanced decision-making for adaptation. There is, therefore, much room for advancement in assessment processes to ensure adequate credit for indigenous knowledge systems. This study aimed to address two major knowledge gaps (i) to assess the relevance of indigenous knowledge in weather forecasts used by local farmers for climate adaptation, and (ii) examine farmers’ perceptions in regard to climate change in Levubu and Nwanedi sites. Indigenous knowledge indicators used by farmers for weather forecasting, within their communities, were collected through questionnaires, interviews and focus group discussions. The results revealed various forms of indigenous indicators used by local farmers for weather forecasting, such as, star and moon movement, appearance of red and black ants and mist-cover on mountains. A better knowledge of indigenous knowledge systems should play an important role in determining suitable adaptation strategies toward climate change. It is recommended, hence, that policy makers should enhance indigenous knowledge among local communities regarding the implications of climatic stressors to increase crop production.

Suggested Citation

  • Zongho Kom & Nthaduleni S. Nethengwe & Sylvester Mpandeli & Hector Chikoore, 2023. "Indigenous knowledge indicators employed by farmers for adaptation to climate change in rural South Africa," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 66(13), pages 2778-2793, November.
  • Handle: RePEc:taf:jenpmg:v:66:y:2023:i:13:p:2778-2793
    DOI: 10.1080/09640568.2022.2086854
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