Stakeholder perspectives on potential effects of irrigation agriculture on wildlife conservation: The case study of irrigation farming in Kenya

Authors

  • Richard Mose Kisii University, Departments of Tourism and Natural Resources
  • Philip Omenge Nyumba Foundation, Division of Environment, Safeguards and Engineering
  • Levi Mulupi Agricultural Development Corporation, Galana Kulalu Complex
  • Jonnathan Yeri Nyumba Foundation
  • Philip Manwa University of Nairobi School of Engineering, Department of Geospatial and Space Technology
  • Harun Mbogua Wairimu National Irrigation Authority, Galana Kulalu Food Security Project

DOI:

https://doi.org/10.5281/zenodo.13856054

Keywords:

wildlife, Irrigation agriculture, Community, Land, Water

Abstract

The study sought to examine the community and stakeholders’ perspectives on the effect of irrigation agriculture on wildlife in Galana Kulalu, Kenya. The study was based on four hypotheses, which were that water uptake for irrigation agriculture had no significant effect on wildlife in Galana, land use change to irrigation agriculture had no significant effect on wildlife in Galana, there was no significant change in policy and planning for wildlife management in Galana ranch as a result of irrigation agriculture and that, the stakeholders and community members in Galana were not going to be significantly affected by irrigation agriculture in Galana. Mixed methods were used to collect primary and secondary data, and both qualitative and quantitative data were collected and analyzed using SPSS version 22 and IBM Amos version 21. Measurement and Structural Equation models were developed and analyzed.  Hypotheses test results based on path analysis showed that wildlife was significantly associated with water (β=-1.156, t= -13.710, P<.001), with land (β=1.101, t= 38.654, P<.001), with policy and planning, (β=.892, t= 64.108, P<.001) and with the community, (β=-1.000, t= -7.650, P<.001). Most stakeholders and community members opine that irrigation agriculture will reduce the range and water available for wildlife in Galana. The study recommends further studies targeting an understanding of how specific wildlife species will be affected by irrigation agriculture.

References

Adamgbe, E. M., & Ujoh, F. (2013). Effect of variability in rainfall characteristics on maize yield in Gboko, Nigeria. Journal of Environmental Protection, 04(09), 881-887. https://doi.org/10.4236/jep.2013.49103

Akama, J. S., & Kieti, D. M. (2003). Measuring tourist satisfaction with Kenya's wildlife safari: A case study of Tsavo West National Park. Tourism Management, 24(1), 73-81. https://doi.org/10.1016/s0261-5177(02)00044-4

Arbuckle, J. L. (2013). IBM® SPSS® Amos™ 22 User’s Guide, IBM Corp.

Bekhet, A. K., & Zauszniewski, J. A. (2012). Methodological triangulation: an approach to understanding data. Nurse researcher, 20(2), 40–43. https://doi.org/10.7748/nr2012.11.20.2.40.c9442

Büscher, B., & Schoon, M. (2009). Competition over conservation: Collective action and negotiating Transfrontier conservation in Southern Africa. Journal of International Wildlife Law & Policy, 12(1-2), 33-59. https://doi.org/10.1080/13880290902938138

Cabodevilla, X., Wright, A. D., Villanua, D., Arroyo, B., & Zipkin, E. F. (2022). The implementation of irrigation leads to declines in farmland birds. Agriculture, Ecosystems & Environment, 323, 107701. https://doi.org/10.1016/j.agee.2021.107701.

Central Bank of Kenya (CBK) (2023) Report on the agriculture sector survey - January 2023. https://www.centralbank.go.ke

Chovhaniuk, O., Bashkirova, L., Meleha, K., & Yakymenko, V. (2023). Study of the state of health in the conditions of constant numerous transitional and intermediate stages. Futurity Medicine, 2(2), 26-34. https://doi.org/10.57125/fem.2023.06.30.03

Collier, J. E. (2020). Applied structural equation modeling using AMOS: Basic to advanced techniques. Routledge.

Darko, R. O., Shouqi, Y., Junping, L., Haofang, Y., & Xingye, Z. (2017). Overview of advances in improving uniformity and water use efficiency of sprinkler irrigation. International Journal of Agriculture & Biological Engineering, 10(2), 1-15. https://www.ijabe.org

Dennis Lemly, A. (1994). Agriculture and wildlife: Ecological implications of subsurface irrigation drainage. Journal of Arid Environments, 28(2), 85-94. https://doi.org/10.1016/s0140-1963(05)80040-0

Dennis, O. (2020). Effects of subsidies on irrigation development in Kenya: Lessons from irrigated maize production in Kenya. EPRA International Journal of Economic and Business Review, 8(7), 49-55. https://doi.org/10.36713/epra3221

Dougherty, T. C., & Hall, A. W. (1995). Environmental impact assessment of irrigation and drainage projects (Vol. 53). Food & Agriculture Orgenization.

FAO. (2011). The State of The World’s Land and Water Resources for Food and Agriculture (SOLAW) – Managing Systems At Risk. Food and Agriculture Organization of the United Nations, Rome and Earthscan, London (2011)

Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics.

Gitau, W., Ogallo, L., Chamberlin, P., & Okoola, R. (2012). Spatial coherence and potential predictability assessment of intraseasonal statistics of wet and dry spells over equatorial eastern Africa. International Journal of Climatology, 33(12), 2690-2705. https://doi.org/10.1002/joc.3620

GoK-Agricultural Policy–2021 (2021). Ministry Of Agriculture, Livestock, Fisheries and Cooperatives. Republic of Kenya. Nairobi, Kenya

Grinin, L., & Korotayev, A. (2023). Africa: The continent of the future. Challenges and opportunities. Reconsidering the Limits to Growth: A Report to the Russian Association of the Club of Rome, 225-238. https://doi.org/10.1007/978-3-031-34999-7-13

Howell, T. A. (2001). Enhancing water use efficiency in irrigated agriculture. Agronomy Journal, 93(2), 281-289. https://doi.org/10.2134/agronj2001.932281x

Hu, L. T., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to under parameterized model misspecification. Psychological methods, 3(4), 424.

Intergovernmental Panel on Climate Change (IPCC). (2023). IPCC REPORT Chapter 2 Agriculture and forestry https://www.ipcc.ch/report/ar1/wg2/agriculture-and-forestry/

Johansson, R., Tsur, Y., Roe, T. L., Doukkali, R., & Dinar, A. (2002). Pricing irrigation water: A review of theory and practice. Water Policy, 4(2), 173-199. https://doi.org/10.1016/s1366-7017(02)00026-0

Kalungu, J. W., & Harris, W. L. (2013). Smallholder Farmers’ Perception of the Impacts of Climate Change and Variability on Rain-fed Agricultural Practices in Semi-arid and Sub-humid Regions of Kenya. Journal of Environment and Earth Science, 3(7), 129-140. ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online)

Kalvelage, L., Bollig, M., Grawert, E., Hulke, C., Meyer, M., Mkutu, K., Müller-Koné, M., & Diez, J. (2021). Territorializing conservation: Community-based approaches in Kenya and Namibia. Conservation and Society, 19(4), 282. https://doi.org/10.4103/cs.cs_18_21

Kenya National Bureau of Statistics (KNBS). (2023). Economic Survey 2023. Kenya National Bureau of Statistics Herufi House Nairobi Kenya. Retrieved from http://www.knbs.or.ke

Ledec, G. (1987). Effects of Kenya’s Bura Irrigation Settlement Project on Biological Diversity and Other Conservation Concerns. Conservation Biology, 1(3), 247–258. http://www.jstor.org/stable/2385881

Lemly, A. D., Kingsford, R. T., & Thompson, J. R. (2000). Irrigated agriculture and wildlife conservation: Conflict on a global scale. Environmental Management, 25(5), 485-512. https://doi.org/10.1007/s002679910039

Manap, N. M., & Ismail, N. W. (2017). Land Irrigation and Food Production in Dry-Land Developing Countries. International Journal of Agriculture, Forestry and Plantation, 5, 7-14. ISSN 2462-1757

Mati, B. (2023). Farmer-led irrigation development in Kenya: Characteristics and opportunities. Agricultural water management, 277, 108105. ISSN 0378-3774, https://doi.org/10.1016/j.agwat.2022.108105.

McCombes, S. (2023). Sampling Methods | Types, Techniques & Examples. Scribbr. Retrieved August 6, 2023, from https://www.scribbr.com/methodology/sampling-methods/

Moreira da Silva, M., Ferreira, L., Sarmento, T., & Selada, C. (2024). Engaging young people in the development of innovative nature-inspired technologies for carbon sequestration in cities: Case studies from Portugal. Smart Cities, 7(1), 445-459. https://doi.org/10.3390/smartcities7010017

Mukeka, J. M., Ogutu, J. O., Kanga, E., & Røskaft, E. (2020). Spatial and temporal dynamics of human-wildlife conflicts in the Kenya Greater Tsavo Ecosystem. Human–Wildlife Interactions, 14(2), 255-272. digitalcommons.usu.edu/hw

Müller-Mahn, D., Mkutu, K., & Kioko, E. (2021). Megaprojects—mega failures? The politics of aspiration and the transformation of rural Kenya. The European Journal of Development Research, 33(4), 1069-1090. https://doi.org/10.1057/s41287-021-00397-x

Narayan, E., Rana, N. (2023). Human-wildlife interaction: past, present, and future. BMC Zoology. https://doi.org/10.1186/s40850-023-00168-7

Odinga, G. H. (2023). Local community perceptions on tourism and conservation in Tsavo National Park, Voi sub-county, Kenya: A social exchange theory approach. Journal of Tourism & Development, 42, 27-44. DOI: 10.34624/rtd.v42i0.32658

Ogenga, J. O., Mugalavai, E. M., & Nyandiko, N. O. (2018). Impact of rainfall variability on food production under Rainfed agriculture in Homa Bay County, Kenya. International Journal of Scientific and Research Publications, 8(8), 857-879. https://doi.org/10.29322/ijsrp.8.8.2018.p80110

Okello, M. M., Buthmann, E., Mapinu, B., & Kahi, H. (2011). Community opinions on wildlife, resource use, and livelihood competition in Kimana group ranch near Amboseli, Kenya. The Open Conservation Biology Journal, 5(1), 1-12. https://doi.org/10.2174/1874839201105010001

Oldekop, J. A., Bebbington, A. J., Brockington, D., & Preziosi, R. F. (2010). Understanding the lessons and limitations of conservation and development. Conservation Biology, 24(2), 461-469.. https://doi.org/10.1111/j.1523-1739.2010.01456.x

Ombaka, D. M. (2014). Of Kenya’s Eaters and Eatists: Hunger as a Development and Social Justice Challenge. Journal of Social Welfare and Human Rights, 2(1), 107-129. ISSN: 2333-5920 (Print), 2333-5939 (Online)

Parker, I. S. (2018). A historical note from Tsavo East National Park: vegetation changes over time. Pachyderm,59,109-113. https://pachydermjournal.org/index.php/pachyderm/article/download/90/51

Rao, C. S., Lal, R., Prasad, J. V., Gopinath, K. A., Singh, R., Jakkula, V. S., ... & Virmani, S. M. (2015). Potential and challenges of rainfed farming in India. Advances in agronomy, 133, 113-181.

Ringle, C. M., Sarstedt, M., Sinkovics, N., & Sinkovics, R. R. (2023). Data in Brief 48, 2023, 109074. Elsevier Inc. https://doi.org/10.1016/j.dib.2023.109074

Sayer, J., Sunderland, T., Ghazoul, J., Pfund, J., Sheil, D., Meijaard, E., Venter, M., Boedhihartono, A. K., Day, M., Garcia, C., Van Oosten, C., & Buck, L. E. (2013). Ten principles for a landscape approach to reconciling agriculture, conservation, and other competing land uses. Proceedings of the National Academy of Sciences, 110(21), 8349-8356. https://doi.org/10.1073/pnas.1210595110

Silvestri, S., Zaibet, L., Said, M. Y., & Kifugo, S. C. (2013). Valuing ecosystem services for conservation and development purposes: A case study from Kenya. Environmental Science & Policy, 31, 23-33. https://doi.org/10.1016/j.envsci.2013.03.008

Thuku, G. K., Gachanja, P., & Almadi, O. (2013). The impact of population changes on economic growth in Kenya. International Journal of Economics & Management Sciences, 02(06). https://doi.org/10.4172/2162-6359.1000137

UN-DESA (United Nations Department of Economic and Social Affairs). (2022). World Population Prospects 2022. Statistical Papers - United Nations (Ser. A), Population and Vital Statistics Report. https://doi.org/10.18356/9789210014380

United Nations (2017) Resolution adopted by the General Assembly on 6 July 2017, Work of the Statistical Commission pertaining to the 2030 Agenda for Sustainable Development (A/RES/71/313)

United Nations Population Fund. UNFPA. (2022). "World Population Dashboard". Retrieved 25April 2023.

United Nations, Department of Economic and Social Affairs, Population Division. UN DESA/POP. (2022). World Population Prospects 2022, Data Sources. UN DESA/POP/2022/DC/NO. 9.

Velasco-Muñoz, J. F., Aznar-Sánchez, J. A., Batlles-delaFuente, A., & Fidelibus, M. D. (2019). Sustainable irrigation in agriculture: An analysis of global research. Water, 11(9), 1758. https://doi.org/10.3390/w11091758

Villanúa, D., Cabodevilla, X., Ardaiz, J., Lizarraga, A., & Zufiaurre, A. (2023). Effect of implementation of irrigation on raptor and corvid populations in a Mediterranean agrosystem. Animal Biodiversity and Conservation, 155-163. https://doi.org/10.32800/abc.2023.46.0155

Zinkina, J., & Korotayev, A. (2014). Explosive population growth in tropical Africa: Crucial omission in development forecasts—Emerging risks and way out. World Futures, 70(2), 120-139. https://doi.org/10.1080/02604027.2014.894868

Downloads

Published

2024-09-30

How to Cite

Mose, R., Omenge, P., Mulupi, L., Yeri, J., Manwa, P., & Mbogua Wairimu, H. (2024). Stakeholder perspectives on potential effects of irrigation agriculture on wildlife conservation: The case study of irrigation farming in Kenya. Sustainability and Biodiversity Conservation, 3(2), 78–98. https://doi.org/10.5281/zenodo.13856054