Version 1
: Received: 20 June 2024 / Approved: 21 June 2024 / Online: 22 June 2024 (08:58:43 CEST)
How to cite:
Munyaka, J.-C. B.; Gallay, O.; Abdem, S. A. E.; Timu, L. J.; AZMI, R.; Chenal, J. Resilience and Adaptation Strategies in Response to Drought: A Spatial and Community-Based Study in West Pokot, Kenya. Preprints2024, 2024061549. https://doi.org/10.20944/preprints202406.1549.v1
Munyaka, J.-C. B.; Gallay, O.; Abdem, S. A. E.; Timu, L. J.; AZMI, R.; Chenal, J. Resilience and Adaptation Strategies in Response to Drought: A Spatial and Community-Based Study in West Pokot, Kenya. Preprints 2024, 2024061549. https://doi.org/10.20944/preprints202406.1549.v1
Munyaka, J.-C. B.; Gallay, O.; Abdem, S. A. E.; Timu, L. J.; AZMI, R.; Chenal, J. Resilience and Adaptation Strategies in Response to Drought: A Spatial and Community-Based Study in West Pokot, Kenya. Preprints2024, 2024061549. https://doi.org/10.20944/preprints202406.1549.v1
APA Style
Munyaka, J. C. B., Gallay, O., Abdem, S. A. E., Timu, L. J., AZMI, R., & Chenal, J. (2024). Resilience and Adaptation Strategies in Response to Drought: A Spatial and Community-Based Study in West Pokot, Kenya. Preprints. https://doi.org/10.20944/preprints202406.1549.v1
Chicago/Turabian Style
Munyaka, J. B., Rida AZMI and Jérôme Chenal. 2024 "Resilience and Adaptation Strategies in Response to Drought: A Spatial and Community-Based Study in West Pokot, Kenya" Preprints. https://doi.org/10.20944/preprints202406.1549.v1
Abstract
This research provides an in-depth analysis of drought impacts in West Pokot, Kenya, utilizing both remote sensing surveys and focus group discussions. The study commenced by assessing the impact of drought on vegetation health via spatial sensors. It then utilized surveys and focus group discussions (FGDs) to engage farmers from the most drought-affected areas in Kacheliba and Sigor sub-counties. The analysis of remote sensing data from 1990 to 2022 highlighted that Sigor and Kacheliba experienced significant drought events during the years 1995, 2000, 2002, 2005, and 2009, and 1991, 1995, 2000, 2005, and 2019, respectively. This study delves into both the meteorological and socio-economic effects on local communities. Using the Multinomial Logistic Regression (MLR) model with the glm function, the research uncovered the impacts of so-cio-economic factors and agricultural practices on household livestock production. Additionally, the study employed Multiple Correspondence Analysis (MCA) to explore the dynamics between livestock production, community resilience, and crop production. The findings underscore the urgent need for tailored interventions to enhance community resilience in the face of increasing climatic extremes, serving as a blueprint for similar arid and semi-arid regions worldwide.
Environmental and Earth Sciences, Environmental Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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