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Assessment of Livelihood Vulnerability to Rainfall Variability among Crop Farming Households in Kitui South Sub-County, Kenya

DOI: 10.4236/oalib.1106317, PP. 1-14

Subject Areas: Natural Geography

Keywords: Livelihood Vulnerability, Exposure, Sensitivity, Adaptive Capacity

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Abstract

Rainfall variability has negatively impacted rain-fed crop farming in arid and semi-arid lands increasing households’ vulnerability. This study sought to establish the extent to which rain-fed crop farming households in Kitui South sub-County in semi-arid Southeastern Kenya are vulnerable to rainfall variability. The study used index-based approach where Livelihood Vulnerability Index (LVI) for each of the randomly sampled 311 households was calculated using the IPCC framework. Rainfall data for six rainfall seasons for the period 2016-2018 was used to calculate index for exposure while questionnaires were administered to the household heads to establish sensitivity and adaptive capacity indices. Responses from the selected sub-components were assigned index values ranging between zero and one. LVI levels were scored between -1 and 1. The study established that indices for exposure, sensitivity and adaptive capacity were 0.71, 0.09 and 0.19 respectively and that 97.4% of the households in the study area were vulnerable to rainfall variability. The study concludes that households in the study area have different livelihood vulnerability levels to rainfall variability due to differences in their sensitivity and adaptive capacity. The study recommends use of households’ LVI levels in determining appropriate intervention measures to effects of vulnerability to rainfall variability among different farming households in order to avoid generalization.

Cite this paper

Mwatu, M. M. , Recha, C. W. and Ondimu, K. N. (2020). Assessment of Livelihood Vulnerability to Rainfall Variability among Crop Farming Households in Kitui South Sub-County, Kenya. Open Access Library Journal, 7, e6317. doi: http://dx.doi.org/10.4236/oalib.1106317.

References

[1]  Oweis, T. and Hachum, A. (2012) Supplementary Irrigation: A Highly Efficient Water-Use Practice. ICARDA, Aleppo, Syria.
[2]  Madu, I.A. (2012) Spatial Vulnerability of Rural Households to Climate Change in Nigeria: Implication for Internal Security. Working Paper No. 2; May 2012: The Robert S. Strauss Center for International Security and Law at the University of Texas, USA.
[3]  Yuga, N.G. Shivakoti, P.G. and Sylvain, R.P. (2010) Household-Level Vulnerability to Drought in Hill Agriculture of Nepal: Implications for Adaptation Planning. International Journal of Sustainable Development and World Ecology, 17, 225-230. https://doi.org/10.1080/13504501003737500
[4]  Tessema I. and Simame, B. (2019) Vulnerability Analysis of Smallholder Farmers to Climate Variability and Change: An Agro-Ecological System-Based Approach in Fincha’a Sub-Basin of the Upper Blue Nile Basin of Ethiopia. Ecological Processes, 8, Article No. 5. https://doi.org/10.1186/s13717-019-0159-7
[5]  Paavola, J. (2008) Livelihoods, Vulnerability and Adaptation to Climate Change in Morogoro, Tanzania. Environmental Science and Policy, 11, 642-654. https://doi.org/10.1016/j.envsci.2008.06.002
[6]  Adger, W.N. (2006) Vulnerability. Global Environmental Change, 16, 268-281. https://doi.org/10.1016/j.gloenvcha.2006.02.006
[7]  Holzmann, P., Boudreau, T., Holt, J., Lawrence, M. and O’Donnell, M. (2008) The Household Economy Approach: A Guide for Programme Planners and Policy-Makers. Save the Children, London.
[8]  IPCC (2014) Climate Change 2014: Impacts, Adaptation and Vulnerability, Summary for Policymakers, Working Group II Contributing to the Intergovernmental Panel on Climate Change Fifth Assessment Report. Cambridge University Press, Cambridge.
[9]  Kori, E., Gondo, T. and Madilonga, R. (2012) The Influence of Rainfall Variability on Arable Land Use at Local Level: Realities from Nzhelele Valley, South Africa. Proceedings of the International Conference on Future Environment and Energy IPCBEE, 28, 218-223.
[10]  Omoyo, N., Wakhungu, J. and Oteng, S. (2015) Effects of Climate Variability on Maize Yield in the Arid and Semi-Arid Lands of Lower Eastern Kenya. Agriculture and Food Security, 4, Article No. 8. https://doi.org/10.1186/s40066-015-0028-2
[11]  Allamano, P., Seckler, D. and Makin, I.I. (2010) Estimating the Potential of Rain-Fed Agriculture: Working Paper 20. International Water Management Institute, Colombo.
[12]  Republic of Kenya (2018) Kenya Integrated Household Budget Survey (KIHBS) Report. KNBS, Nairobi.
[13]  Brooks, N. and Adger, W.N. (2005) Assessing and Enhancing Adaptive Capacity. In Chopra, K., Leemans, R., Kumar, P. and Simons, H., Eds., Adaptation Policy Frameworks for Climate Change: Developing Strategies, Policies and Measures, CUP, Cambridge, 165-181.
[14]  Republic of Kenya (2014) The Kitui County Integrated Development Plan 2013-2017. Government Printer, Nairobi.
[15]  Independent Electoral and Boundaries Commission (IEBC) (2012) National Assembly Constituencies and County Assembly Order. Government Printer, Nairobi.
[16]  Republic of Kenya (2010) Kenya National Bureau of Statistics: 2009 Kenya Population and Housing Census, Vol. 1A. Government Printer, Nairobi.
[17]  Krejcie, R.V. and Morgan, D.W. (1970) Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30, 607-610. https://doi.org/10.1177/001316447003000308
[18]  Hahn, M.B., Riederer, A.M. and Foster O.S. (2009) The Livelihood Vulnerability Index: A Pragmatic Approach of Assessing Risks from Climate Variability and Change—A Case Study in Mozambique. Global Environmental Change, 19, 74-88. http://www.sage.wisc.edu https://doi.org/10.1016/j.gloenvcha.2008.11.002
[19]  UNDP (2007) Human Development Reports. http://hdr.undp.org/en/
[20]  IPCC (2007) Climate Change 2007: Impacts, Adaptation and Vulnerability, Working Group II Contribution to the Intergovernmental Panel on Climate Change Fourth Assessment Report. IPCC, Geneva.
[21]  Camberlin, P., Moron, V., Okoola, R., Philippon, N. and Gitau, W. (2009) Components of Rainy Seasons’ Variability in Equatorial East Africa: Onset, Cessation, Rainfall Frequency and Intensity. Theoretical and Applied Climatology, 98, 237-249. https://doi.org/10.1007/s00704-009-0113-1
[22]  Bibi, U.M., Kaduk, J. and Balzter, H. (2014) Spatio-Temporal Variations and Prediction of Rainfall in Northeastern Nigeria. Climate, 2, 206-222. https://doi.org/10.3390/cli2030206
[23]  Dunning, C.M., Black, E.C. and Allan, R.P. (2016) The Onset and Cessation of Seasonal Rainfall over Africa. Journal of Geophysical Research: Atmosphere, 121, 11,405-11,424. https://doi.org/10.1002/2016JD025428
[24]  Mugalavai, E.M., Kipkorir, E.C., Raes, D. and Rao, M.S. (2008) Analysis of Rainfall Onset, Cessation and Length of Growing Season for Western Kenya. Agricultural and Forest Meteorology, 148, 1123-1135. https://doi.org/10.1016/j.agrformet.2008.02.013
[25]  Sujakhu, N.M., Ranjitkar, S., Niraula, R.R., Salim, M.A. and Xu, J. (2018) Determinants of Livelihood Vulnerability in Farming Communities in Two Sites in the Asian Highlands. Water International, 43, 165-182. https://doi.org/10.1080/02508060.2017.1416445
[26]  Etwire, P.M., Hassan, R.M. and Kowumu, J.K.M. (2013) Application of Livelihood Vulnerability Index in Assessing Vulnerability to Climate Change and Variability in Northern Ghana. Journal of Environment and Earth Sciences, 3, 157-170.
[27]  Sabila, S.C. (2014) Factors That Influence Food Security and Rural Households of Mount Elgon Sub-County, Kenya. Master’s Thesis, University of Nairobi, Kenya.
[28]  Njuguna, E., Mwema, C. and Kandiwa, V. (2016) Beyond a Unitary Household Measure: Does Gender Matter in Legume Seed Systems among Smallholder Farmers? Invited Poster Presented at the 5th International Conference of the African Association of Agricultural Economists, September, 23-26, 2016, Addis Ababa, Ethiopia.
[29]  Vizcayno, J.F., Hugo, W. and Alvarez, J.S. (2014) Appropriate Seed Varieties for Small-Scale Farmers: Key Practices for DRR Implementers. FAO, London.
[30]  Sujakhu, N.M., Ranjitkar, S., Niraula, R.R., Salim, M.A. and Xu, J. (2019) Assessing the Livelihood of Rural Indigenous Households to Climate Changes in Central Nepal, Himalayas. Sustainability, 11, 1-18.
[31]  Recha, C.W., Shisanya, C.A., Makokha, G.L. and Kinuthia, R.N. (2008) Perception and Use of Climate Forecast Information amongst Small-Holder Farmers in Semi-Arid Kenya. Asian Journal of Applied Sciences, 1, 128-135. https://doi.org/10.3923/ajaps.2008.123.135
[32]  Muema, E.M. (2018) Determinants of Access and Use of Climate Information Services among Smallholder Farmers in Makueni County, Kenya. Unpublished Master’s Thesis, University of Nairobi, Kenya.
[33]  Antwi-Agyei, P., Dougill, A.J., Fraser, E.D.G. and Stringer, L.C. (2013) Characterising the Nature of Household Vulnerability to Climate Variability: Empirical Evidence from Two Regions in Ghana. Environment, Development and Sustainability, 16, 903-926.

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