National Academy of Agricultural Sciences (NAAS)
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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 |
Climate variability in semi-arid lands is increasingly characterised by prolonged droughts interspersed with episodic flooding, creating complex risk environments that undermine agricultural productivity, water security, infrastructure stability, and rural livelihoods. Resilience outcomes in such contexts depend on the interaction between ecological assets, indigenous knowledge systems, and institutional governance mechanisms. A quantitative cross-sectional survey design was employed using a structured Likert-type questionnaire administered to 62 respondents in Ikanga–Kyatune Ward, Kitui County, Kenya. Data were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM) via SmartPLS 4, with outer model assessment, structural path estimation, and bootstrapped mediation testing (5,000 resamples). PLS-SEM was selected given the sample size of 62, which falls below the threshold conventionally required for Covariance-Based SEM. Indigenous knowledge systems significantly influenced drought and flood management effectiveness (β = 0.341, p < 0.001), as did academic institutions’ engagement (β = 0.318, p < 0.01). A significant indirect effect of indigenous knowledge through institutional engagement was confirmed (β = 0.124, p < 0.05), indicating partial mediation. Prospects of seasonal rivers showed no significant direct or indirect effects on management outcomes. Effective drought and flood management in semi-arid lands is primarily a knowledge governance challenge. Indigenous knowledge systems and academic institutional engagement are central to resilience outcomes, while environmental resource potential alone is insufficient without enabling governance structures. Integrating indigenous knowledge into formal disaster management policies and strengthening university–community partnerships are priority interventions for climate-vulnerable ASAL communities.
Adesina, F., Nyong, A., and Osman-Elasha, B. (2007). The value of indigenous knowledge in climate change mitigation and adaptation strategies in the African Sahel. Mitigation and Adaptation Strategies for Global Change, 12(5), 787–797. https://doi.org/10.1007/s11027-007-9099-0
Adger, W. N. (2006). Vulnerability. Global Environmental Change, 16(3), 268–281. https://doi.org/10.1016/j.gloenvcha.2006.02.006
Adger, W. N. et al., (2013). Cultural dimensions of climate change impacts and adaptation. Nature Climate Change, 3(2), 112–117. https://doi.org/10.1038/nclimate1666
Altieri, M. A., and Koohafkan, P. (2008). Enduring Farms: Climate Change, Smallholders and Traditional Farming Communities. Food and Agriculture Organization of the United Nations.
Berkes, F. (2012). Sacred Ecology (3rd ed.). Routledge.
Etzkowitz, H., and Leydesdorff, L. (2000). The dynamics of innovation: From national systems and “Mode 2” to a triple helix of university–industry–government relations. Research Policy, 29(2), 109–123. https://doi.org/10.1016/S0048-7333(99)00055-4
Food and Agriculture Organization. (2021). The State of Food Security and Nutrition in the World 2021. FAO.
Folke, C. et al., (2010). Resilience thinking: Integrating resilience, adaptability and transformability. Ecology and Society, 15(4), 20.
Hair, J. F. et al., (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
Hair, J. F. et al., (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3rd ed.). Sage Publications.
Henseler, J., Ringle, C. M., and Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
Intergovernmental Panel on Climate Change. (2022). Climate Change 2022: Impacts, Adaptation and Vulnerability. Cambridge University Press.
Lang, D. J. et al., (2012). Transdisciplinary research in sustainability science: Practice, principles, and challenges. Sustainability Science, 7(1), 25–43. https://doi.org/10.1007/s11625-011-0149-x
North, D. C. (1990). Institutions, Institutional Change and Economic Performance. Cambridge University Press.
Nyong, A., Adesina, F., and Elasha, B. O. (2007). The value of indigenous knowledge in climate change mitigation and adaptation strategies in the African Sahel. Mitigation and Adaptation Strategies for Global Change, 12(5), 787–797. https://doi.org/10.1007/s11027-007-9099-0
Ostrom, E. (2009). A general framework for analyzing sustainability of social-ecological systems. Science, 325(5939), 419–422. https://doi.org/10.1126/science.1172133
Reij, C., and Garrity, D. (2016). Scaling up farmer-managed natural regeneration in Africa to restore degraded landscapes. Biotropica, 48(6), 834–843. https://doi.org/10.1111/btp.12390
Ringle, C. M., Wende, S., and Becker, J. M. (2022). SmartPLS 4. SmartPLS GmbH. https://www.smartpls.com
Rockström, J., Barron, J., and Fox, P. (2010). Rainwater management for increased productivity among smallholder farmers in drought-prone environments. Agricultural Water Management, 97(6), 848–854. https://doi.org/10.1016/j.agwat.2009.03.004
UNESCO. (2021). Reimagining Our Futures Together: A New Social Contract for Education. UNESCO Publishing.
Wiek, A., Withycombe, L., and Redman, C. L. (2011). Key competencies in sustainability. Sustainability Science, 6(2), 203–218. https://doi.org/10.1007/s11625-011-0132-6
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