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 |
The shea value chain in Northern Togo, a primary source of income for many rural households, faces intensifying climate hazards whose perceived impacts remain poorly documented. This study analyzes stakeholders' perceptions of climate change, its impacts, and their adaptation strategies. A mixed-methods approach combining 274 individual surveys and 8 focus group discussions was carried out between October and December 2025 in eight prefectures of the Savanes and Kara regions. Climate change is perceived by 99.27% of stakeholders, with strong spatial heterogeneity in risks: irregular rainfall in Dankpen (93.75%), bushfires in Doufelgou (94%), and strong winds in Cinkassé (65.96%). This heterogeneity reflects local geographic exposure, prefecture being statistically associated with perceived risk (χ² = 200.4; p < 0.001; Cramér's V = 0.494), with no effect of sex, education, or experience. Marked phenological disturbances are reported, with flower abortion affecting 18.60% to 100% of respondents depending on the prefecture. An average perceived decline of 37.6% in nut production over the past 10 years was reported, varying by prefecture (Kruskal-Wallis, p = 0.028, ε² = 0.066), though this decline cannot be attributed solely to climate change, as other local factors may also contribute. Current adaptation strategies, whether structural or ritual, show low-to-moderate perceived effectiveness, pointing to a qualitative gap with the intensity of perceived risks that this study documents descriptively. These findings call for targeted adaptation policies that integrate local knowledge with scientific approaches.
Adger, W.N. (2006) “Vulnerability,” Global Environmental Change, 16(3), pp. 268–281. https://doi.org/10.1016/j.gloenvcha.2006.02.006.
Armstrong, R.A. (2014) “When to use the Bonferroni correction,” Ophthalmic and Physiological Optics, 34(5), pp. 502–508. https://doi.org/10.1111/opo.12131.
Aryal, U.R. et al., (2023) “Use of Smart Mobile and Web Application Kobotoolbox/ Kobocollect for Community Health Diagnosis: Sharing Experience from the Remote Area of Nepal,” Journal of Karnali Academy of Health Sciences, 6(3), pp. 54–58. https://doi.org/10.61814/jkahs.v6i3.834.
Atakpama, W. et al., (2022) “Habitats potentiels et aire de culture du karité (Vitellaria paradoxa CF Geartn spp paradoxa) au Togo,” Synthèse, 28(2), pp. 31–45.
Ayanlade, A., Radeny, M. and Morton, J.F. (2017) “Comparing smallholder farmers’ perception of climate change with meteorological data: A case study from southwestern Nigeria,” Weather and Climate Extremes, 15, pp. 24–33. https://doi.org/10.1016/j.wace.2016.12.001.
Bondé, L. et al., (2019) “Variability and estimating in fruiting of shea tree (Vitellaria paradoxa C.F. Gaertn) associated to climatic conditions in West Africa: implications for sustainable management and development,” Plant Production Science, 22(2), pp. 143–158. https://doi.org/10.1080/1343943X.2018.1541712.
Boureima, M. et al., (2012) “Analyse participative de la vulnérabilité et de l’adaptation aux changements climatiques: un guide méthodologique,” Occasional Paper, 19. https://www.landscapealliance.org/publications/downloads/Publications/PDFS/OP17387.pdf (Accessed: August 12, 2025).
CIFKAT (2023) “Plan d’action d’investissement de la filière karité 2024-2028,” Ministère de l’Agriculture de la Pêche, des Ressources Animales et de la Souveraineté Alimentaire..
Cochran, W.G. (1977) Sampling techniques. 3. ed. New York, NY: Wiley (Wiley series in probability and mathematical statistics).
Cohen, J. (1988) Statistical power analysis for the behavioral sciences. 2. ed. New York, NY: Psychology Press.
Creswell, J.W. and Clark, V.L.P. (2007) Designing and conducting mixed methods research. Thousand Oaks, CA: Sage.
Dimobe, K. et al., (2020) “Climate change reduces the distribution area of the shea tree (Vitellaria paradoxa C.F. Gaertn.) in Burkina Faso,” Journal of Arid Environments, 181, p. 104237. https://doi.org/10.1016/j.jaridenv.2020.104237.
Dunn, O.J. (1964) “Multiple Comparisons Using Rank Sums,” Technometrics, 6(3), pp. 241–252. https://doi.org/10.1080/00401706.1964.10490181.
Elias, M. and Carney, J. (2007) “African Shea Butter: A Feminized Subsidy from Nature,” Africa, 77(1), pp. 37–62. https://doi.org/10.3366/afr.2007.77.1.37.
Gadedjisso-Tossou, A., Adjegan, K.I. and Kablan, A.K.M. (2021) “Rainfall and Temperature Trend Analysis by Mann–Kendall Test and Significance for Rainfed Cereal Yields in Northern Togo,” Sci, 3(1), p. 17. https://doi.org/10.3390/sci3010017.
GADM (2021) GADM database of Global Administrative Areas.
Ganni Mampo, O.M. et al., (2025) “Farmers’ perceptions of hydroclimatic variability and climate change: survey-based insights in Northern Benin, West Africa,” Frontiers in Water, 7, p. 1530395. https://doi.org/10.3389/frwa.2025.1530395.
Hall, J.B. et al., (1996) Vitellaria paradoxa: A monograph. Bangor, UK. https://www.cabidigitallibrary.org/doi/full/10.5555/19970611375
Hulme, M. et al., (2001) “African climate change: 1900-2100,” Climate Research, 17, pp. 145–168. https://doi.org/10.3354/cr017145.
IPCC (2023) Climate Change 2022 – Impacts, Adaptation and Vulnerability: Working Group II Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. 1st ed. Cambridge University Press. https://doi.org/10.1017/9781009325844.
Kruskal, W.H. and Wallis, W.A. (1952) “Use of Ranks in One-Criterion Variance Analysis,” Journal of the American Statistical Association, 47(260), pp. 583–621. https://doi.org/10.1080/01621459.1952.10483441.
Mbaye, A. et al., (2016) “Climate change: what kind of knowledge, what type of adaptation for what type of West African artisanal fisher folk [résumé],” ICAWA: International Conference AWA. SRFC/CSRP; IRD, p. 176.
Mertz, O. et al., (2009) “Farmers’ Perceptions of Climate Change and Agricultural Adaptation Strategies in Rural Sahel,” Environmental Management, 43(5), pp. 804–816. https://doi.org/10.1007/s00267-008-9197-0.
Naughton, C.C., Lovett, P.N. and Mihelcic, J.R. (2015) “Land suitability modeling of shea (Vitellaria paradoxa) distribution across sub-Saharan Africa,” Applied Geography, 58, pp. 217–227. https://doi.org/10.1016/j.apgeog.2015.02.007.
Osman, B. and Ayanlade, A. (2024) “Climate Change, Gendered Vulnerabilities and Adaptation Strategies: A Participatory Research in West Africa,” in M. Mishra, A.J. De Lucena, and B. Maharaj (eds.) Climate Change and Regional Socio-Economic Systems in the Global South. Singapore: Springer Nature Singapore, pp. 191–211. https://doi.org/10.1007/978-981-97-3870-0_11.
Panthou, G. et al., (2018) “Rainfall intensification in tropical semi-arid regions: the Sahelian case,” Environmental Research Letters, 13(6), p. 064013. https://doi.org/10.1088/1748-9326/aac334.
Pearson, K. (1900) “X. On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling,” The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 50(302), pp. 157–175. https://doi.org/10.1080/14786440009463897.
R Core Team (2025) R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. .
Spearman, C. (1904) “The Proof and Measurement of Association between Two Things,” The American Journal of Psychology, 15(1), pp. 72–101. https://doi.org/10.2307/1412159.
Tomczak, M. and Tomczak, E. (2014) “The need to report effect size estimates revisited. An overview of some recommended measures of effect size,” 1, pp. 19–25.
Turner, B.L. et al., (2003) “A framework for vulnerability analysis in sustainability science,” Proceedings of the National Academy of Sciences, 100(14), pp. 8074–8079. https://doi.org/10.1073/pnas.1231335100.
Yao, K.M.A. et al., (2023) “Time Series Analysis of Temperature and Rainfall in the Savannah Region in Togo, West Africa,” Water, 15(9), p. 1656. https://doi.org/10.3390/w15091656.
Zoundji, G.C. et al., (2017) “When baobab flowers and rainmakers define the season: Farmers’ perceptions and adaptation strategies to climate change in West Africa.,” The International Journal of Plant, Animal and Environmental Sciences, 7(2), pp. 8–21.|
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