


Smallholder farmers in dryland agroecosystems: Understanding vulnerability to climate change and developing effective coping strategies in South Western Zimbabwe
Vol 6, Issue 3, 2025
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Abstract
This study aimed to determine the perceived effects of climate change on the livelihoods of farming communities in the semi-arid regions of southwestern Zimbabwe. A qualitative approach was used to investigate smallholder farmers’ views and experiences regarding climate change and its impacts in two wards in the Tsholotsho district, Matabeleland North province, Zimbabwe. The primary data collection methods were key informant interviews and focus-group discussions. Participants were selected using purposive sampling from established farmer groups in the study area. Most focus group discussion participants agreed that they were aware of and experienced climate-related risks in their community. They observed climate variability, particularly in the occurrence of extreme events, such as drought and insufficient rainfall, including mid-season dry spells. The 2023/2024 season was marked by very low rainfall, mid-season dry spells, and challenges to crop sustainability. Smallholder farmers in the study area indicated that they were experiencing crop failure, livestock mortality, and reduced crop yields, all of which contribute to declining agricultural productivity. In response to drought, smallholder farmers primarily employed coping strategies, such as land management through Pfumvudza, a conservation land management coping strategy; crop diversification; the use of drought-tolerant crops that are early maturing; and seeking alternative non-farming income sources.
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References
1. Chakauya R, Materechera SA, Jiri O, et al. Climate change impacts on agriculture, adaptation and resilience: Insights from local farmers in South-East Zimbabwe. In: Routledge Handbook of Climate Change Impacts on Indigenous Peoples and Local Communities. Routledge; 2023. pp. 273–286.
2. Chinokwetu V, Togo M. Climate change impacts on the livelihoods of smallholder farmers in Buhera District, Zimbabwe. OIDA International Journal of Sustainable Development. 2023; 16(10): 41–54.
3. Ahmed M, Hayat R, Ahmad M, et al. Impact of Climate Change on Dryland Agricultural Systems: A Review of Current Status, Potentials, and Further Work Need. International Journal of Plant Production. 2022; 16(3): 341–363. doi: 10.1007/s42106-022-00197-1
4. Wang L, Jiao W, MacBean N, et al. Dryland productivity under a changing climate. Nature Climate Change. 2022; 12(11): 981–994. doi: 10.1038/s41558-022-01499-y
5. Singh S, Devi S. Vulnerability of dryland agriculture over non-dryland agriculture toward the changing climate. In: Enhancing Resilience of Dryland Agriculture Under Changing Climate: Interdisciplinary and Convergence Approaches. Springer Nature Singapore; 2023. pp. 45–53.
6. Kumar KM, Sridhara CJ, Hanumanthappa M, Marimuthu S. A Review of Impacts and Mitigation Strategies of Climate Change on Dryland Agriculture. Current Journal of Applied Science and Technology. 2019; 33(4): 1–12. doi: 10.9734/cjast/2019/v33i430085
7. Huang J, Li Y, Fu C, et al. Dryland climate change: Recent progress and challenges: Recent progress and challenges. Reviews of Geophysics. 2017; 55(3): 719–778. doi: 10.1002/2016rg000550
8. IPCC. Climate Change 2014: Impacts, Adaptation, and Vulnerability. Intergovernmental Panel on Climate Change Climate Change. 2014.
9. United Nations Environment Programme. Emissions Gap Report 2021: The Heat Is On—A World of Climate Promises Not Yet Delivered. The Emissions Gap Report. 2021. doi: 10.18356/9789210011181
10. Awazi NP, Tchamba MN, Temgoua LF, et al. Climate-smart and agro-ecological farming systems of smallholder farmers. In: Environment and Climate-Smart Food Production. Springer International Publishing; 2022. pp. 31–72.
11. Gwenzi J, Mashonjowa E, Mafongoya PL. Coping with extreme weather in arid areas, a case study of Uzumba Maramba Pfungwe District, Zimbabwe. In: Climate Change, Hazards and Adaptation Options: Handling the Impacts of a Changing Climate. Springer International Publishing; 2020. pp. 701–716.
12. IPCC. Climate Change 2007: Impacts, Adaptation and Vulnerability. Intergovernmental Panel on Climate Change. 2007.
13. Khanal U, Wilson C, Rahman S, et al. Smallholder farmers’ adaptation to climate change and its potential contribution to UN’s sustainable development goals of zero hunger and no poverty. Journal of Cleaner Production. 2021; 281: 124999. doi: 10.1016/j.jclepro.2020.124999
14. Funk C, Davenport F, Harrison L, et al. Anthropogenic Enhancement of Moderate-to-Strong El Niño Events Likely Contributed to Drought and Poor Harvests in Southern Africa During 2016. Bulletin of the American Meteorological Society. 2018; 99(1): S91–S96. doi: 10.1175/bams-d-17-0112.1
15. Madamombe SM, Ng’ang’a SK, Öborn I, et al. Climate change awareness and adaptation strategies by smallholder farmers in semi-arid areas of Zimbabwe. International Journal of Agricultural Sustainability. 2024; 22(1). doi: 10.1080/14735903.2023.2293588
16. Serdeczny O, Adams S, Baarsch F, et al. Climate change impacts in Sub-Saharan Africa: From physical changes to their social repercussions. Regional Environmental Change. 2016; 17(6): 1585–1600. doi: 10.1007/s10113-015-0910-2
17. SADC. Synthesis report on the state of food and nutrition security and vulnerability in Southern Africa. SADC. 2018.
18. Amir S, Saqib Z, Khan MI, et al. Determinants of farmers’ adaptation to climate change in rain-fed agriculture of Pakistan. Arabian Journal of Geosciences. 2020; 13(19): 1–19. doi: 10.1007/s12517-020-06019-w
19. Khatri P, Kumar P, Shakya KS, et al. Understanding the intertwined nature of rising multiple risks in modern agriculture and food system. Environment, Development and Sustainability. 2024; 26(9): 24107–24150. doi: 10.1007/s10668-023-03638-7
20. Harvey CA, Rakotobe ZL, Rao NS, et al. Extreme vulnerability of smallholder farmers to agricultural risks and climate change in Madagascar. Philosophical Transactions of the Royal Society B: Biological Sciences. 2014; 369(1639): 20130089. doi: 10.1098/rstb.2013.0089
21. Kumalo J. The Impact of Climate Change on Food Security and Livelihoods In Zimbabwe: Assessing the Sustainability of Intervention Strategies Adopted In the Matabeleland South Province, Zimbabwe. American Scientific Research Journal for Engineering, Technology, and Sciences. 2022; 90(1).
22. Mutengwa CS, Mnkeni P, Kondwakwenda A. Climate-Smart Agriculture and Food Security in Southern Africa: A Review of the Vulnerability of Smallholder Agriculture and Food Security to Climate Change. Sustainability. 2023; 15(4): 2882. doi: 10.3390/su15042882
23. Nciizah T, Nciizah E, Mubekaphi C, Nciizah AD. Smallholder farmers’ adaptation strategies and food security: Experiences from Zimbabwe. In: Food Security for African Smallholder Farmers. Springer Nature Singapore; 2022. pp. 267–280.
24. Dube T, Intauno S, Moyo P, Phiri K. The Gender-differentiated Impacts of Climate Change on Rural Livelihoods Labour Requirements in Southern Zimbabwe. Journal of Human Ecology. 2017; 58(1–2): 48–56. doi: 10.1080/09709274.2017.1316958
25. Phiri K, Nhliziyo M, Madzivire SI, et al. Understanding climate smart agriculture and the resilience of smallholder farmers in Umguza district, Zimbabwe. Cogent Social Sciences. 2021; 7(1). doi: 10.1080/23311886.2021.1970425.
26. CGIAR. The World’s Dry Areas. CGIAR Research Program on Dryland Systems. Available online https://hdl.handle.net/10568/51670.( Accessed 23 February 2025).
27. Mwenzwa EM. Dryland farming and food security in Kenya: Challenges and research priorities. Elixir Soc. Sci. 41 (2011) 5832-5836. URI: http://41.89.164.27:8080/xmlui/handle/123456789/829.
28. Trivedi A, Nandeha N, Mishra S. Dryland agriculture and farming technology: Problems and Solutions. In: Climate Resilient Smart Agriculture: Approaches & Techniques. Vital Biotech Publication; 2022. pp. 35–51.
29. Tui SHK, Descheemaeker K, Valdivia RO, et al. Climate change impacts and adaptation for dryland farming systems in Zimbabwe: A stakeholder-driven integrated multi-model assessment. Climatic Change. 2021; 168(1–2): 10. doi: 10.1007/s10584-021-03151-8
30. Peterson GA, Unger PW, Payne WA. In: Dryland Agriculture. American Society of Agronomy, Crop Science Society of America, Soil Science Society of America; 2006.
31. Mbow C, Toensmeier E, Brandt M, et al. Agroforestry as a solution for multiple climate change challenges in Africa. In: Climate change and agriculture. Burleigh Dodds Science Publishing; 2020. pp. 339–374.
32. Ndlovu E, Prinsloo B, Le Roux T. Impact of climate change and variability on traditional farming systems: Farmers’ perceptions from south-west, semi-arid Zimbabwe. Jàmbá: Journal of Disaster Risk Studies. 2020; 12(1): 1–19. doi: 10.4102/jamba.v12i1.742
33. Malhi GS, Kaur M, Kaushik P. Impact of Climate Change on Agriculture and Its Mitigation Strategies: A Review. Sustainability. 2021; 13(3): 1318. doi: 10.3390/su13031318
34. Lawrence PG, Maxwell BD, Rew LJ, et al. Vulnerability of dryland agricultural regimes to economic and climatic change. Ecology and Society. 2018; 23(1): 34. doi: 10.5751/es-09983-230134
35. Rani S, Tiwari P. Climate change vulnerability assessment for adaptation planning in Uttarakhand, Indian Himalaya. International Journal of Disaster Risk Reduction. 2024; 114: 104938. doi: 10.1016/j.ijdrr.2024.104938
36. Sindani BB. Impacts of Climate Variability on Livelihoods Sustainability in Kapsokwony Division, Mt. Elgon District, Kenya [PhD thesis]. University of Nairobi; 2023.
37. Shoko Kori D, Musakwa W, Kelso C. Understanding the local implications of climate change: Unpacking the experiences of smallholder farmers in Thulamela Municipality, Vhembe District, Limpopo Province, South Africa. PLOS Climate. 2024; 3(10): e0000500. doi: 10.1371/journal.pclm.0000500
38. Chimwamurombe PM, Mataranyika PN. Factors influencing dryland agricultural productivity. Journal of Arid Environments. 2021; 189: 104489. doi: 10.1016/j.jaridenv.2021.104489
39. Devi NB, Lepcha NT. Carbon sink and source function of Eastern Himalayan forests: Implications of change in climate and biotic variables. Environmental Monitoring and Assessment. 2023; 195(7): 843. doi: 10.1007/s10661-023-11460-x
40. Homann-Kee Tui S, Valbuena D, Masikati P, et al. Economic trade-offs of biomass use in crop-livestock systems: Exploring more sustainable options in semi-arid Zimbabwe. Agricultural Systems. 2015; 134: 48–60. doi: 10.1016/j.agsy.2014.06.009
41. Liliane TN, Charles MS. Factors Affecting Yield of Crops. In: Agronomy—Climate Change and Food Security. Intech-UK; 2020.
42. Hirwa H, Li F, Qiao Y, et al. Climate change–drylands–food security nexus in Africa: From the perspective of technical advances, challenges, and opportunities. Frontiers in Environmental Science. 2022; 10. doi: 10.3389/fenvs.2022.851249
43. Mugandani R, Wuta M, Makarau A, Chipindu B. Re-classification of agro-ecological regions of Zimbabwe in conformity with climate variability and change. African Crop Science Journal. 2012; 20: 361–369.
44. Vincent V, Thomas RG, Staples RR. Book Review By Dml-An Agricultural Survey of Southern Rhodesia Part I. Agro-Ecological Survey. Tropical Agriculture. 1962; 39(2).
45. Zimbabwe Election Support Network. A Profile of Constituencies: Understanding Elections in Zimbabwe. Government of Zimbabwe. 2008.
46. Zimbabwe National Statistics Agency (ZIMSTAT). In: The Food Poverty Atlas: Small area food poverty estimation: Statistics for addressing food and nutrition insecurity in Zimbabwe. UNICEF, Harare; 2016.
47. TRDC. Description of Tsholotsho district. Government of Zimbabwe. 2024.
48. Viceisza A, Aflagah K, Abner J, Hippolyte K. Poverty and Malnutrition in Zimbabwe: Findings from Matabeleland North Province. 2020. Research Technical Assistance Center: Washington, DC.
49. Dube T, Phiri K. Rural livelihoods under stress: The impact of climate change on livelihoods in South Western Zimbabwe. American International Journal of Contemporary Research. 2013; 3(5): 11–25.
50. Nzima D, Duma V, Moyo P. Migrant Remittances, Livelihoods and Investment: Evidence from Tsholotsho District in the Matabeleland North Province of Zimbabwe. Migracijske i etničke teme/Migration and Ethnic Themes. 2016; 32(1): 37–62. doi: 10.11567/met.32.1.2
51. Maphosa F. The impact of remittances from Zimbabweans working in South Africa on rural livelihoods in the southern districts of Zimbabwe. Forced Migration Studies Programme, University of the Witwatersrand. 2005.
52. Teddlie C, Yu F. Mixed Methods Sampling: A Typology With Examples. Journal of Mixed Methods Research. 2007; 1(1): 77–100. doi: 10.1177/1558689806292430
53. Leavy P. In: Research design. The Guilford Press; 2017.
54. Morgan DL. Focus Group Interviewing. Handbook of Interview Research. Published online 2002; 141–159. doi: 10.4135/9781412973588.n10
55. Dilshad RM, Latif MI. Focus group interview as a tool for qualitative research: An analysis. Pakistan Journal of Social Sciences. 2013; 33(1): 191–198.
56. Butina M. A Narrative Approach to Qualitative Inquiry. American Society for Clinical Laboratory Science. 2015; 28(3): 190–196. doi: 10.29074/ascls.28.3.190
57. Braun V, Clarke V. Using thematic analysis in psychology. Qualitative Research in Psychology. 2006; 3(2): 77–101. doi: 10.1191/1478088706qp063oa
58. Chanza N, Gundu-Jakarasi V. Deciphering the Climate Change Conundrum in Zimbabwe: An Exposition. Global Warming and Climate Change. 2020; 1–25. doi: 10.5772/intechopen.84443
59. Bedeke SB. Climate change vulnerability and adaptation of crop producers in sub-Saharan Africa: A review on concepts, approaches and methods. Environment, Development and Sustainability. 2022; 25(2): 1017–1051. doi: 10.1007/s10668-022-02118-8
60. Rasul G. Twin challenges of COVID-19 pandemic and climate change for agriculture and food security in South Asia. Environmental Challenges. 2021; 2: 100027. doi: 10.1016/j.envc.2021.100027
61. Yadav SS, Hegde VS, Habibi AB, et al. Climate Change, Agriculture and Food Security. In: Yadav SS, Redden RJ, Hatfield JL, et al. (editors). Food Security and Climate Change. Wiley; 2018. pp. 1–21.
62. IPCC. Climate Change and Land: An IPCC Special Report on Climate Change, Desertification, Land Degradation, Sustainable Land Management, Food Security, and Greenhouse Gas Fluxes in Terrestrial Ecosystems (SRCCL). IPCC. 2019.
63. Gbegbelegbe S, Serem J, Stirling C, et al. Smallholder farmers in eastern Africa and climate change: A review of risks and adaptation options with implications for future adaptation programmes. Climate and Development. 2018; 10(4): 289–306. doi: 10.1080/17565529.2017.1374236
64. World Metrological Organization. State of the global climate 2022. UN. 2023.
65. Food and Agriculture Organization, International Fund for Agricultural Development, UNICEF, World Food Programme and World Health Organization. The state of food security in the World. Available online: https://www.fao.org/3/I9553EN/i9553en.pdf (accessed on 25 November 2024).
66. MS Department. Weather forecast and status. Zimbabwe. 2023.
67. Hatfield JL, Prueger JH. Temperature extremes: Effect on plant growth and development. Weather and Climate Extremes. 2015; 10: 4–10. doi: 10.1016/j.wace.2015.08.001
68. Pant KP. Climate Change And Food Security In Nepal. Journal of Agriculture and Environment. 2013; 13: 9–19. doi: 10.3126/aej.v13i0.7582
69. Mugiyo H, Magadzire T, Choruma DJ, et al. El Niño’s Effects on Southern African Agriculture in 2023/24 and Anticipatory Action Strategies to Reduce the Impacts in Zimbabwe. Atmosphere. 2023; 14(11): 1692. doi: 10.3390/atmos14111692
70. Kapari M, Hlophe-Ginindza S, Nhamo L, Mpandeli S. Contribution of smallholder farmers to food security and opportunities for resilient farming systems. Frontiers in Sustainable Food Systems. 2023; 7. doi: 10.3389/fsufs.2023.1149854
71. Mavesere F, Dzawanda B. Effectiveness of Pfumvudza as a resilient strategy against drought impacts in rural communities of Zimbabwe. GeoJournal. 2023; 88(3): 3455–3470. doi: 10.1007/s10708-022-10812-3
72. Mujere N. An Assessment of the Contribution of The Pfumvudza Concept Towards Climate Smart Agriculture in Zimbabwe: A Review. Journal of Agriculture and Horticulture Research. 2022; 5(2): 69–76. doi: 10.33140/jahr.05.02.01
73. Belay A, Recha JW, Woldeamanuel T, Morton JF. Smallholder farmers’ adaptation to climate change and determinants of their adaptation decisions in the Central Rift Valley of Ethiopia. Agriculture & Food Security. 2017; 6(1): 1–13. doi: 10.1186/s40066-017-0100-1
74. Neupane N, Paudel S, Sapkota R, et al. Enhancing the resilience of food production systems for food and nutritional security under climate change in Nepal. Frontiers in Sustainable Food Systems. 2022; 6. doi: 10.3389/fsufs.2022.968998
75. Dube N, Sithole M, Ngwenya T, et al. Impact of climate change on sustainability in semi-arid, rural Africa: Lessons from rural Zimbabwe. Cogent Social Sciences. 2018; 4(1): 1553327. doi: 10.1080/23311886.2018.1553327
76. Mwamahonje A, Eleblu JSY, Ofori K, et al. Sorghum Production Constraints, Trait Preferences, and Strategies to Combat Drought in Tanzania. Sustainability. 2021; 13(23): 12942. doi: 10.3390/su132312942
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