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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles Volume : Special issue, Issue : 12, December,

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci..Special issue(12) : 154-160
DOI : https://doi.org/10.20546/ijcmas.2026.sp12.014


Values of Indigenous Knowledge in Droughts and Floods Forecasting in Semi-Arid Lands of Kenya

Ruth Mwanzia and Moses Mwangi
South Eastern Kenya University
*Corresponding author
Abstract:

Droughts and floods weather conditions are among the most pressing environmental challenges in Kenya’s semi-arid lands, at times resulting in severe negative consequences for people, livelihoods, ecosystems, and socio-economic development. Therefore, this study looked at the knowledge in application in Ikanga-Kyatune Ward of Kitui County, Kenya. The study employed a multidisciplinary approach, integrating field surveys, household interviews, and participatory discussions with community elders and local farmers. The data was subjected to descriptive statistics, with the findings bringing to the fore reliance on a variety of knowledge systems to forecast the changes in the weather, key being in use of indigenous knowledge. Based on the local social, cultural, economic and environmental circumstances, the study concluded that indigenous has a central place in sustainability of the lives and livelihoods of people in the rural areas. Consequently, the study recommended integrating the knowledge and practices with conventional meteorological forecasting systems. By recognizing and incorporating peoples’ local expertise, the government and development agencies and climate scientists can develop inclusive and effective forecasting models tailored to the specific needs of communities.


Keywords: Participatory, knowledge systems, meteorological, livelihoods, effective forecasting.


References:

Alley, R. B., Emanuel, K. A., and Zhang, F. (2019). Advances in weather prediction. Science 363, 342–344.

Amegnaglo, C. J., Anaman, K. A., Mensah-Bonsu, A., Onumah, E. E., and Amoussouga Gero, F. (2017). Contingent valuation study of the benefits of seasonal climate forecasts for maize farmers in the Republic of Benin, West Africa. Climate Services, 6, 1–11.

Antwi-Agyei, P., Dougill, A. J., Doku-Marfo, J., and Abaidoo, R. C. (2021). Understanding climate services for enhancing resilient agricultural systems in Anglophone West Africa: The case of Ghana, Clam. Serv. 22, 100218.

Blum, A. G., and Miller, A. (2019). Opportunities for forecast-informed water resources management in the United States Chang’a, L. B., Mwengela, A., & Liwenga, E. T. (2010). Indigenous knowledge in seasonal rainfall prediction in Tanzania: A case of the South-western Highland agro-ecological zone. Climatic Change, 100(2), 239–257.

Carter, S., Steynor, A., Vincent, K., Visman, E., and Waagsaether, K. (2019). Co-production of African weather and climate services. Second edition. Manual, Cape Town: Future Climate for Africa and Weather and Climate Information Services for Africa.

Guido, Z., Zimmer, A., Lopus, S., Hannah, C., Gower, D., Waldman, K., et al., (2020). Farmer forecasts: Impacts of seasonal rainfall expectations on agricultural decision-making in Sub-Saharan Africa. Climate Risk Management, 30, 100247.

Ifejika Speranza, C., Kiteme, B., Ambenje, P., Wiesmann, U., & Makali, S. (2010). Indigenous knowledge related to climate variability and change: Insights from droughts in semi-arid areas of Kenya. Agriculture and Human Values, 27(4), 591–605.

Intergovernmental Panel on Climate Change (IPCC). (2022). Climate change 2022: Impacts, adaptation and vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press.

Kagunyu, I. K., Wandibba, S., & Wanjohi, J. G. (2016). Indigenous climate forecasting among pastoralists in Northern Kenya. Pastoralism: Research, Policy and Practice, 6(1), 1–8.

Kayaga, S. M., Amankwaa, E. F., Gough, K. V., Wilby, R. L., Abarike, M. A., Codjoe, S. N., et al., (2021). Cities and extreme weather events: Impacts of flooding and extreme heat on water and electricity services in Ghana. Environ. Urbanization.

Mabe, F. N., Nketiah, P., and Darko, D. (2014). Farmers’ willingness to pay for weather forecast information in Savelugu-Nanton municipality of the northern region. Russ. J. Agric. Socioeconomic Science, 36, 34–44.

Mani, J. K., and Mukherjee, D. (2016). Accuracy of weather forecast for hill zone of West Bengal for better agriculture management practices. Indian J. Res. 5,325–328.

Mittal, S. (2016). Role of mobile phone-enabled climate information services in gender-inclusive agriculture. Gend. Technol. Dev. 20, 200–217.

Munene, M. B., Were, J., & Wambua, J. (2020). The role of indigenous knowledge in climate change adaptation in Kenya’s arid lands. Journal of Environmental Studies, 26(4), 45–58.

Muthama, N. J., Ogallo, L., & Ouma, G. (2021). Integrating indigenous and scientific knowledge systems for climate risk management in Kenya. Climate Risk Management, 31, 100265.

Nkiaka, E., Taylor, A., Dougill, A. J., Antwi-Agyei, P., Fournier, N., Bosire, E. N. et al., (2019). Identifying user needs for weather and climate services to enhance resilience to climate shocks in sub-Saharan Africa. Environ. Res. Lett. 14, 123003.

Ong’ayo, A. O., & Mutunga, K. (2023). Barriers to effective climate information services in arid and semi-arid lands of Kenya. Weather, Climate, and Society, 15(2), 377–389.

Oyekale, A. S. (2015). Access to risk mitigating weather forecasts and changes in farming operations in East and West Africa: Evidence from a baseline survey, Sustainability 7, 14599–14617.

Parker, D.J., Blyth, A.M., Woolnough, S.J., Dougill, A.J., Bain, C.L., deConing, E., et al., (2021). The African SWIFT project: Growing science capability to bring about a revolution in weather prediction.

Sena, A., Barcellos, C., Freitas, C., and Corvalan, C. (2014). Managing the health impacts of drought in Brazil. Int. J. Environ. Res. Public Health 11, 10737–10751.

Tam, K., & Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA). (2024). Blending indigenous and scientific forecasting in Baringo County, Kenya. International Livestock Research Institute (ILRI)/CGIAR.

United Nations Office for Disaster Risk Reduction (UNDRR). (2023). Global assessment report on disaster risk reduction 2023. United Nations Office for Disaster Risk Reduction. https://www.undrr.org/publication/global-assessment-report-disaster-risk-reduction-2023

Waweru, P. K., Kioko, J., & Nzomo, V. (2022). Indigenous weather forecasting practices among the Kamba community in Kitui County, Kenya. African Journal of Environmental Science and Technology, 16(5), 173–182.

Woodhams, B. J., Birch, C. E., Marsham, J. H., Bain, C. L., Roberts, N. M., and Boyd, D. F. (2018). What is the added value of a convection-permitting model for forecasting extreme rainfall over tropical East Africa? Mon. Weather Review, 146, 2757–2780.

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How to cite this article:

Mwanzia, R. and Mwangi, M. (2026). Values of Indigenous Knowledge in Droughts and Floods Forecasting in Semi-Arid Lands of Kenya Int.J.Curr.Microbiol.App.Sci. Special issue(12): 154-160 doi: https://doi.org/10.20546/ijcmas.2026.sp12.014
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license

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