Investigating the adoption of indigenous knowledge in mitigating climate-linked challenges

a case study of Vhembe District in South Africa

Authors

DOI:

https://doi.org/10.20525/ijrbs.v12i7.2728

Keywords:

Indigenous knowledge, disease prediction, farming, confidence in indigenous knowledge, Vhembe district, South Africa

Abstract

Indigenous knowledge (IK) plays a crucial role in rural African communities by contributing to the development of mitigation and adaptation strategies, enhancing resilience to climate-related challenges. However, there is limited documentation of its application in South Africa. This study investigates the adoption of IK in the Vhembe district, focusing on general use, disease prediction and farming practices. Results indicate that the respondents possessed a rich reservoir of IK, with 76.1% affirming its use for different purposes. Most respondents (75.3%) use IK for farming, with 63.1% using it for disease prediction. Most participants (74.3%) reported adequate confidence levels in their use of IK for general purposes. Respondents who had stayed longer in Vhembe reported higher confidence levels in using IK, as did those above 66 years old in using this knowledge system for disease prediction. The use of IK indicators for early warning of malaria outbreaks was also documented. Investigating and documenting IK use in communities could inform the basis for preservation and hence, enhance IK recognition. The integration of IK in the development of early warning systems may enhance their relevance and effectiveness in combating the effects of climate change and infectious diseases.

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References

Ahmad, K., & Pieroni, A. (2016). Folk knowledge of wild food plants among the tribal communities of Thakht-e-Sulaiman Hills, North-West Pakistan. Journal of Ethnobiology and Ethnomedicine, 12(1), 17. https://doi.org/10.1186/s13002-016-0090-2 DOI: https://doi.org/10.1186/s13002-016-0090-2

Akanbi, A. K., & Masinde, M. (2018). Towards the Development of a Rule-Based Drought Early Warning Expert Systems Using Indigenous Knowledge. 2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, IcABCD 2018. https://doi.org/10.1109/ICABCD.2018.8465465 DOI: https://doi.org/10.1109/ICABCD.2018.8465465

Akoglu, H. (2018). User’s guide to correlation coefficients. In Turkish Journal of Emergency Medicine (Vol. 18, Issue 3, pp. 91–93). Emergency Medicine Association of Turkey. https://doi.org/10.1016/j.tjem.2018.08.001 DOI: https://doi.org/10.1016/j.tjem.2018.08.001

Aswani, S., Lemahieu, A., & Sauer, W. H. H. (2018). Global trends of local ecological knowledge and future implications. PLoS ONE, 13(4). https://doi.org/10.1371/journal.pone.0195440 DOI: https://doi.org/10.1371/journal.pone.0195440

Dalu, M. T. B., Cuthbert, R. N., Ragimana, P., Gunter, A. W., Dondofema, F., & Dalu, T. (2022). Assessing human perceptions towards large wood in river ecosystems following flooding experiences. River Research and Applications, 38(7), 1296–1304. https://doi.org/10.1002/rra.4009 DOI: https://doi.org/10.1002/rra.4009

Dieng, S., Kruger, T., Riddin, M., Trehard, H., Tumelero, S., Bendiane, M.-K., De Jager, C., Patrick, S., Bornman, R., & Gaudart, J. (2015). Geo-epidemiology of malaria incidence in the Vhembe District to guide targeted elimination strategies: a local resurgence. https://doi.org/10.21203/rs.3.rs-2052516/v2 DOI: https://doi.org/10.21203/rs.3.rs-2052516/v2

Dube, E., Munsaka, E., Dube, E. &, & Munsaka, E. (2018). Jàmbá-Journal of Disaster Risk Studies. https://doi.org/10.4102/jamba

Field, A. P. (2013). Discovering statistics using SPSS?: (and sex, drugs and rock “n” roll). Sage Publications.

Grenier, L. (1998). Working with Indigenous Knowledge: A Guide for Researchers. Ottawa, Canada: International Development Research Centre.

Gwarinda, H. B., Tessema, S. K., Raman, J., Greenhouse, B., & Birkholtz, L. M. (2021). Parasite genetic diversity reflects continued residual malaria transmission in Vhembe District, a hotspot in the Limpopo Province of South Africa. Malaria Journal, 20(1). doi: https://doi.org/10.1186/s12936-021-03635-z DOI: https://doi.org/10.1186/s12936-021-03635-z

Jiri, O., Mafongoya, P. L., Mubaya, C., & Mafongoya, O. (2016). Seasonal Climate Prediction and Adaptation Using Indigenous Knowledge Systems in Agriculture Systems in Southern Africa: A Review. Journal of Agricultural Science, 8(5), 156. https://doi.org/10.5539/jas.v8n5p156 DOI: https://doi.org/10.5539/jas.v8n5p156

Joseph Hlalele, D. (2019). Australian and International Journal of Rural Education Indigenous Knowledge Systems and Sustainable Learning In Rural South Africa. 29(1), 88. https://doi.org/10.3316/informit.267612438026855 DOI: https://doi.org/10.47381/aijre.v29i1.187

Kgope, T. V. (2023). The indigenous knowledge system of Credo Mutwa: a pedagogical challenge in higher education in South Africa. Curriculum Perspectives. https://doi.org/10.1007/s41297-023-00182-2 DOI: https://doi.org/10.1007/s41297-023-00182-2

Kom, Z., Nethengwe, N. S., Mpandeli, S., & Chikoore, H. (2022). Indigenous knowledge indicators employed by farmers for adaptation to climate change in rural South Africa. Journal of Environmental Planning and Management. https://doi.org/10.1080/09640568.2022.2086854 DOI: https://doi.org/10.1080/09640568.2022.2086854

Leal Filho, W., Barbir, J., Gwenzi, J., Ayal, D., Simpson, N. P., Adeleke, L., Tilahun, B., Chirisa, I., Gbedemah, S. F., Nzengya, D. M., Sharifi, A., Theodory, T., & Yaffa, S. (2022). The role of indigenous knowledge in climate change adaptation in Africa. Environmental Science and Policy, 136, 250–260. https://doi.org/10.1016/j.envsci.2022.06.004 DOI: https://doi.org/10.1016/j.envsci.2022.06.004

Lieketseng Yvonne Ned, B. (2019). Reconnecting with Indigenous knowledge in education: exploring possibilities for health and well-being in Xhora, South Africa. Retrieved from https://scholar.sun.ac.za

Louis, N., & Mathew, T. H. (2020). Effects of climate change on rural women in makhado municipality, vhembe district, limpopo province, south africa.

Macherera, M., & Chimbari, M. J. (2016). A review of studies on community based early warning systems. Jamba: Journal of Disaster Risk Studies, 8(1), 1–10. https://doi.org/10.4102/jamba.v8i1.206 DOI: https://doi.org/10.4102/jamba.v8i1.206

Macherera, M., Chimbari, M. J., & Mukaratirwa, S. (2017). Indigenous environmental indicators for malaria: A district study in Zimbabwe. Acta Tropica, 175, 50–59. https://doi.org/10.1016/j.actatropica.2016.08.021 DOI: https://doi.org/10.1016/j.actatropica.2016.08.021

Malapane, O. L., Musakwa, W., Chanza, N., & Radinger-Peer, V. (2022). Bibliometric Analysis and Systematic Review of Indigenous Knowledge from a Comparative African Perspective: 1990–2020. Land, 11(8). https://doi.org/10.3390/land11081167 DOI: https://doi.org/10.3390/land11081167

Masinde, M. (2015). An innovative drought early warning system for sub-Saharan Africa: Integrating modern and indigenous approaches. African Journal of Science, Technology, Innovation and Development, 7(1), pp.8-25. DOI: https://doi.org/10.1080/20421338.2014.971558

Masinde, Muthoni, Mwagha, M., & Tadesse, T. (2018). Downscaling africa’s drought forecasts through integration of indigenous and scientific drought forecasts using fuzzy cognitive maps. Geosciences (Switzerland), 8(4). https://doi.org/10.3390/geosciences8040135 DOI: https://doi.org/10.3390/geosciences8040135

Mbewe, M., Phiri, A., & Siyambango, N. (2019). Indigenous Knowledge Systems for Local Weather Predictions: A Case of Mukonchi Chiefdom in Zambia. Environment and Natural Resources Research, 9(2), 16. https://doi.org/10.5539/enrr.v9n2p16 DOI: https://doi.org/10.5539/enrr.v9n2p16

Membele, G. M., Naidu, M., & Mutanga, O. (2022). Using local and indigenous knowledge in selecting indicators for mapping flood vulnerability in informal settlement contexts. International Journal of Disaster Risk Reduction, 71, 102836. https://doi.org/10.1016/j.ijdrr.2022.102836 DOI: https://doi.org/10.1016/j.ijdrr.2022.102836

Mhlongo, M. (2021). A framework for the integration of indigenous knowledge into libraries in South Africa. IFLA Journal, 47(3), 375–385. https://doi.org/10.1177/03400352211018224 DOI: https://doi.org/10.1177/03400352211018224

Musetha, M. A. (2016). The impact of climate change on agricultural crop production in the Vhembe District Municipality, Limpopo Province South Africa. In Plant Genomics and Climate Change (pp. 1–13). https://doi.org/10.1007/978-1-4939-3536-9_1 DOI: https://doi.org/10.1007/978-1-4939-3536-9_1

Ngunyulu, R. N., Sepeng, N., Moeta, M., Gambu, S., Mulaudzi, F. M., & Peu, M. D. (2020). The perspectives of nursing students regarding the incorporation of African traditional indigenous knowledge in the curriculum. African Journal of Primary Health Care & Family Medicine, 12(1). https://doi.org/10.4102/phcfm.v12i1.2171 DOI: https://doi.org/10.4102/phcfm.v12i1.2171

Nkengasong, J. N., & Tessema, S. K. (2020). Africa Needs a New Public Health Order to Tackle Infectious Disease Threats. Cell, 183(2), 296–300. https://doi.org/10.1016/j.cell.2020.09.041 DOI: https://doi.org/10.1016/j.cell.2020.09.041

Sharma, G. (2017). Impact Factor: 5.2 IJAR. 3(7), 749–752. Retrieved from www.allresearchjournal.com

Son, H. N., Chi, D. T. L., & Kingsbury, A. (2019). Indigenous knowledge and climate change adaptation of ethnic minorities in the mountainous regions of Vietnam: A case study of the Yao people in Bac Kan Province. Agricultural Systems, 176(July). https://doi.org/10.1016/j.agsy.2019.102683 DOI: https://doi.org/10.1016/j.agsy.2019.102683

Stratton, S. J. (2021). Population Research: Convenience Sampling Strategies. In Prehospital and Disaster Medicine (Vol. 36, Issue 4, pp. 373–374). Cambridge University Press. https://doi.org/10.1017/S1049023X21000649 DOI: https://doi.org/10.1017/S1049023X21000649

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Published

2023-10-28

How to Cite

Phoobane, P., & Masinde, M. (2023). Investigating the adoption of indigenous knowledge in mitigating climate-linked challenges: a case study of Vhembe District in South Africa. International Journal of Research in Business and Social Science (2147- 4478), 12(7), 394–404. https://doi.org/10.20525/ijrbs.v12i7.2728

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Section

Interdisciplinary Studies in Humanities & Social Sciences