Influence of Dykes’ Characteristics on Food Crop Production in Lower River Nyando Basin, Kenya

  • Berryl Atieno Ojung’a Maseno University
  • Irene Nzisa Mutavi, PhD Maseno University
  • Denis Masika, PhD Maseno University
Keywords: Floods, Food Crop Production, Climate Change Adaptation, Rivers, and Agriculture
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Abstract

Dykes minimise flood risks among riparian communities. In Nyando basin, Kenya, dykes were constructed to minimise flood impacts on human activities in the riparian plains. The dyke characteristics could change the rate of silting. In spite of these dynamics, some farmers now use fertilisers as a new way of coping with nutrient deficiency. Several researches have been done in Kenya on the effects of floods on human activities; however, there is no clear link between dyke characteristics like period of existence, length and height and their influence on food crop production. The dykes in Nyando have reduced floods in the region; however, it is not clearly understood how the dyke characteristics influence the food crop. Therefore, the purpose of this study was to examine the influence of dyke characteristics on food crop production. Planning Theory was used. Descriptive cross-sectional research design applied. The target population stood at 34,460 households. At least 384 Household heads were recruited via simple random sampling and a questionnaire administered, while purposive sampling was useful in identifying relevant experts in the field of study. Primary data was obtained by interviewing key informants and focused group discussions. Other tools include observation and photography. Secondary data was obtained from publications and print media, and SPSS was utilised in data analysis. Qualitative data was analysed by coding and organisation of data into themes and sub-themes where generalisation was made. The results from the multiple coefficients of determination (R2) indicated that 45.4% (R2 = .454, p = .039) of the variation in the general crop yield was explainable by the combined change in Dyke Characteristics. The dykes’ characteristics significantly influenced crop production

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References

Adam G, (2008) Properties of Limiting Distributions Concerning Conditioning on Non-extinction of Epidemics Paper.

Ajaero, C. K. (2017). A gender perspective on the impact of flood on the food security of households in rural communities of Anambra state, Nigeria. Food Security, 9(4), 685-695.

Ajiboye, O., & Orebiyi, E. (2022). Assessment of socio-economic effects of flooding on selected communities of Anambra West Local Government Area, Southeast, Nigeria. GeoJournal, 87(5), 3575-3590.

Armah, F. A., Yawson, D. O., Yengoh, G. T., Odoi, J. O., & Afrifa, E. K. (2010). Impact of floods on livelihoods and vulnerability of natural resource dependent communities in Northern Ghana. Water, 2(2), 120-139.

Banerjee, L. (2010). Effects of flood on agricultural productivity in Bangladesh. Oxford Development Studies, 38(3), 339-356.

Bloemertz, L. (2014) Society and Nature in the Lower River Nyando Basin, Kenya. Bayreuth International Graduate School of African Studies. Flood Victims.

Bunn and Arthington, (2002) Basic principles and Ecological Consequences of Altered Flow Regimes for Aquatic Deflation Basin Lakes.

Buu, (2013) Assessing Hydrological Effects of Human Interventions on Coastal Systems.

Duong, (2014) Creating a Water Risk Index to Improve Community Resilience. IBM Journal of Research and Development.

Gadain, H., Bidault, N., Stephen, L., Watkins, B., Dilley, M., & Mutunga, N. (2006). Reducing the impacts of floods through early warning and preparedness: A pilot study for Kenya. World Bank, Natural Disaster Hotspots Case Studies, 165-184.

Government of Kenya (2019) Kenya Bureau of Statistics (KNBS) Statistical Abstract 2019. Government Printer, Nairobi.

Huho (2005) Socio-cultural and Economic Impacts on Floods in Budalang’i.

Huho, J. M., & Kosonei, R. C. (2014). Understanding extreme climatic events for economic development in Kenya. IOSR Journal of Environmental Science, Toxicology and Food Technology, 8(2), 14-24.

Hung et al., (2014) Ensemble-Based Flood Vulnerability Assessment for Probable Maximum Flood in Changing Environment. Journal of Hydrology, Volume 576, pages 342355.

Ibanez et al., (2013) Sediment Management Options for the Lower Ebro River and its Delta. Journal of Soils and Sediments.

Integrated Flood Management for River Nyando Basin Report (2014) Project on Capacity Development for Effective Flood Management in River Nyando Basin Flood Prone Area (JICA) 2014).

Islam, M. S., Solaiman, M., Islam, M. S., Tusher, T. R., & Kabir, M. H. (2015). Impacts of flood on Char livelihoods and its adaptation techniques by the local people. Bangladesh Journal of Scientific Research, 28(2), 123-135.

Jafrin et. Al., (2009) Conceptual Framework for Sustainable Blue Economy in Bangladesh.

Kaida, (1991) Loss of Agricultural Land: A Case Study of the Chin River Basin, Influenced by Water Diversion to the West. International Journal of Environmental Science and Development.

Karim Pours et al., (2015) Astacus leptodactylus-Knowledge and Management of Aquatic Ecosystems.

Mahn et al. (2014) What is River Health? Research gate.

Musah, B. A., Mumuni, E., Abayomi, O., & Jibrel, M. B. (2013). Effects of floods on the livelihoods and food security of households in the Tolon/kumbumgu district of the Northern region of Ghana. American Journal of Research Communication, 1(8), 160-171.

Mutai (2009) Assessment of the Ecological Health of Afrotropical Rivers Using Fish Assemblages: A Case Study of Selected Rivers in the Lake Victoria basin, Kenya.

National Research Centre(NRC), (2006), The Science and Practice of River Restoration

Ni and Tuan, (2004) Assessment of the Upstream Water Quality of a Narrow River. Environmental Science and Pollution Management.

Ni, (2004) River Restoration and Management. Environmental Impact Statements.

Nixon, (2003) Rivers and Streams in the media: a content analysis of ecosystem services.

Ochieng, S. B., Charles, O., & Ang’awa, F. O. (2017). Effect of flooding on socio-economic livelihood of the farmers in lower Kano plain, Kisumu County, Kenya.

Ocholla, O. P. (2010) the Impact of Flooding Characteristics of the Nyando River on Cotton Cultivation in Lower Kano Plains in Nyando District, Western Kenya. Department of Hydrology, University of Zululand.

Oduor, D. O., Mutavi, I. N., & Long’ora, A. E. (2022). Effects of Socio-cultural Attributes on Dominant Tree Species Diversity in Ugenya Sub-County Siaya County, Kenya.

Okayo, J., Odera, and Omuterema, S. (2015) Socio- Economic Characteristics of the community that Determine the ability to Uptake Precautionary Measures to Mitigate flood disaster in Kano plains, Kisumu County, Kenya. Geo-environmental Disasters (2:26 DOI 10.1186/40677-015-0034-5

Olufemi, A. J., Ajibola, A. T., Adeniyi, O. J., Adoga, I. A., William, B. O., Oladimeji, E. J., & Rachael, A. J. (2020). Impacts of flood on food crop production and the adaptive measures among farmers in the Northern Guinea Savanna of Agroecological Zone of Kaduna State, Nigeria. Am. J. Environ. Sci. Eng, 4, 43-48.

Opere, A. (2013) Floods in Kenya. Department of Metrology, University of Nairobi, Kenya.

Orodho J. A. (2008) Techniques of Writing Research Proposals and Reports in Educational and Social Sciences. Kanezja HP Enterprises, Maseno, Kenya.

Osouli et al., (2014) Erosion Characteristics of Silty to Clayey Soils Using EFA and Lab- Scaled Dykes.

Pandey (2015) Research Methodology: Tools and Techniques. Published 2015.

Redd (2017) Learning from Redd: A Response to Fletcher et. Al.

Reed, C., Anderson, W., Kruczkiewicz, A., Nakamura, J., Gallo, D., Seager, R., & McDermid, S. S. (2022). The impact of flooding on food security across Africa. Proceedings of the National Academy of Sciences, 119(43), e2119399119.

Rogger, M., Agnoletti, M., Alaoui, A., Bathurst, J. C., Bodner, G., Borga, M., ... & Blöschl, G. (2017). Land use change impacts on floods at the catchment scale: Challenges and opportunities for future research. Water resources research, 53(7), 5209-5219.

Rongoei, K. J., Kipkemboi, J., okeyo-Owuor, B., and van Dam A. (2013) Ecosystem Services and Drivers of Change in Nyando Floodplain Wetland, Kenya. African Journal of Environmental Science and Technology, vol. 7(5), pp. 274-291.

Rubin (2016) Empowerment Series: Research Methods for Social Work. Cengage Publishers. Edition.

Takago A. et al., (2016) River research and Applications across borders.

Tuan (2004) Cultural Geography: Glances Backward and Forward. University of Wisconsin Madison.

United States of America International Development (USAID), (2016) Land Use, Stream Order, Nitrogen Concentration and Flux in the River Ecosystem.

Van der Ven, (2004) Socio-Economic Drivers of Degradation and Their Implication on Conservation of River Ecosystem. Department of Natural Resources, Waal University.

Veterink et al., (2006) History of human settlement, cultural change and interference with the marine environment. Helgoland Marine Research. 59. 2-8. 10.1007/s10152-004-0201-7.

Week, D. A., & Wizor, C. H. (2020). Effects of flood on food security, livelihood and socio-economic characteristics in the flood-prone areas of the core Niger Delta, Nigeria. Asian Journal of Geographical Research, 3(1), 1-17.

World Health Programme (2002) Bank Erosion as a Desirable Attribute of Rivers – Oxford Journal.

WRMA (2014) A Report to the Public from the Water Resources and Management Authority. Catchment management Performance Report 2014.

Yamanouchi, H., Tokimura, K., Miura, N., Ikezawa, K., Onjo, M., Minami, Y., & Kajiya, K. (2022). Effects of flooding cultivation on the composition and quality of taro (Colocasia esculenta cv. Daikichi). Journal of the Science of Food and Agriculture, 102(4), 1372-1380.

Published
15 September, 2023
How to Cite
Ojung’a, B., Mutavi, I., & Masika, D. (2023). Influence of Dykes’ Characteristics on Food Crop Production in Lower River Nyando Basin, Kenya. East African Journal of Agriculture and Biotechnology, 6(1), 306-318. https://doi.org/10.37284/eajab.6.1.1436