Biophysical Drivers and Spatiotemporal Dynamics of Maize Productivity Decline in Kenya: A Review of Climate Impacts and Environmental Planning Responses
Main Article Content
Keywords
Maize Productivity, Climate Variability, Biophysical Mechanisms, Spatiotemporal Analysis, Environmental Planning, , Kenya, Food Security
Abstract
Maize (Zea mays L.) is the cornerstone of Kenya's food security and agricultural economy, yet productivity across the country's diverse agro-ecological zones is declining under the compounding pressures of climate change. This integrative review synthesizes evidence from 36 studies published between 2015 and 2026 to examine the biophysical drivers and spatiotemporal dynamics of maize productivity decline in Kenya, and to critically evaluate the alignment between these biophysical realities and existing environmental planning responses. The analysis identifies three primary biophysical pathways underpinning productivity decline: phenological compression, driven by rising temperatures that shorten the growing cycle by 34–38 days in highland zones; thermal stress and pollen sterility, with each 1°C above optimal thresholds reducing yields by approximately 5%; and soil-climate synergism, wherein declining soil organic carbon amplifies moisture stress and nutrient deficiency, with productivity losses of 20–50% in unfertilized systems. These pathways interact across a stark agro-ecological gradient that is being progressively flattened by climate change, as high-potential western highland regions contributing over 80% of national output experience accelerated degradation while arid and semi-arid lands face intensified climatic extremes. Temporal dynamics reveal a shift from predictable seasonality toward heightened inter-annual and intra-seasonal variability, undermining traditional farming calendars and amplifying production uncertainty. Despite an elaborate environmental planning architecture including the Climate Change Act (2016), National Adaptation Plan (2015–2030), and Kenya Climate Smart Agriculture Strategy (2017–2026) planning responses remain structurally decoupled from mechanistic biophysical realities. Critical disconnects persist in spatial targeting, temporal horizon alignment, monitoring and evaluation capacity, and institutional coordination between national and county levels. County plans are structured around administrative wards rather than agro-ecological zones, are constrained by five-year political cycles that mismatch decadal biophysical trends, and rely on climate information too coarse to capture farm-level variability. The review concludes that addressing these disconnects requires planning frameworks restructured around agro-ecological realities, nested across multiple temporal scales, grounded in high-resolution biophysical monitoring, and coordinated through unified institutional mechanisms. Without such reorientation, substantial investments in climate adaptation risk being misdirected toward interventions that fail to protect the most nationally significant production zones, undermining Kenya's food security in an era of accelerating climate change.
References
Amanjyoti, Singh, J., Sowdhanya, D., Rasane, P., Singh, J., Ercisli, S., ... & Ullah, R. (2024). Maize. In Cereals and Nutraceuticals (pp. 47-80). Singapore: Springer Nature Singapore.
Barnett-Page, E., & Thomas, J. (2009). Methods for the synthesis of qualitative research: A critical review. BMC Medical Research Methodology, 9(1), 59. https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/1471-2288-9-59
Berkes, F., & Folke, C. (1998). Linking social and ecological systems: Management practices and social mechanisms for building resilience. Cambridge University Press.
Bhattacharya, A. (2022). Effect of low-temperature stress on germination, growth, and phenology of plants: A review. Physiological processes in plants under low temperature stress, 1-106.
Boonyuen, P., Ariya, G., Paul, J. D., & Cole, J. (2026). Fall armyworm infestation and future likelihood of spread due to environmental change in maize-cropping regions of Kenya. CABI Agriculture and Bioscience, 7(1). https://doi.org/10.1079/ab.2026.0007
Bowers, M. J., Kasaine, S., & Schulte, B. A. (2024). Zai pits as a climate-smart agriculture technique in Southern Kenya: Maize success is influenced more by manure than depth. Resources, 13(9), 120. https://doi.org/10.3390/resources13090120
Bwambale, G., & Mourad, K. A. (2025). Modeling the impact of climate change on maize (Zea mays L.) production at the county scale in Kenya. Regional Environmental Change, 25, Article 24. https://link.springer.com/article/10.1007/s10113-025-02403-y
Chen, X., Li, Z., Zhao, H., Li, Y., Wei, J., Ma, L., ... & Tan, D. (2024). Enhancing maize yield and nutrient utilization through improved soil quality under reduced fertilizer use: the efficacy of organic–inorganic compound fertilizer. Agriculture, 14(9), 1482.
Cirad. (2026). In sub-Saharan Africa, soil degradation threatens maize yields as much as climate change. https://www.cirad.fr/en/press-area/press-releases/2026/soil-degradation-threatens-maize-yields
Critical Appraisal Skills Programme. (2018). CASP qualitative checklist. https://casp-uk.net/casp-tools-checklists/
Dabija, A., Ciocan, M. E., Chetrariu, A., & Codină, G. G. (2021). Maize and sorghum as raw materials for brewing, a review. Applied Sciences, 11(7), 3139.
Development Aid (2024). Top 10 corn-producing countries worldwide. https://www.developmentaid.org/news-stream/post/167740/corn-producing-countries-worldwide
FAO. (2020). The State of Food and Agriculture 2020: Overcoming Water Challenges in Agriculture. FAO.
Folke, C., Hahn, T., Olsson, P., & Norberg, J. (2005). Adaptive governance of social-ecological systems. Annual Review of Environment and Resources, 30(1), 441–473. https://www.annualreviews.org/doi/10.1146/annurev.energy.30.050504.144511
Gachathi, S., & Nzengya, D. M. (2026). A scoping review of literature on climate change impacts among smallholder maize producers in low- and medium-income countries. Frontiers in Climate, 8, 1704769. https://www.frontiersin.org/journals/climate/articles/10.3389/fclim.2026.1704769/full
Galani, Y. J. H., Orfila, C., & Gong, Y. Y. (2022). A review of micronutrient deficiencies and analysis of maize contribution to nutrient requirements of women and children in Eastern and Southern Africa. Critical Reviews in Food Science and Nutrition, 62(6), 1568-1591.
Goredema-Matongera, N., Ndhlela, T., Magorokosho, C., Kamutando, C. N., van Biljon, A., & Labuschagne, M. (2021). Multinutrient biofortification of maize (Zea mays L.) in Africa: current status, opportunities and limitations. Nutrients, 13(3), 1039.
Government of Kenya. (2017). Kenya Climate Smart Agriculture Strategy 2017–2026. Ministry of Agriculture, Livestock, Fisheries and Cooperatives. https://www.adaptation-undp.org/sites/default/files/resources/kenya_climate_smart_agriculture_strategy.pdf
Government of Kenya. (2022). Review of the implementation of Kenya's National Adaptation Plan 2015–2030 in the agriculture sector. Ministry of Environment, Climate Change and Forestry. https://napglobalnetwork.org/wp-content/uploads/2023/01/napgn-en-2023-review-implementation-kenya-agriculture-national-adaptation-plan-2015-2030.pdf
Grote, U., Fasse, A., Nguyen, T. T., & Erenstein, O. (2021). Food security and the dynamics of wheat and maize value chains in Africa and Asia. Frontiers in Sustainable Food Systems, 4, 617009.
Higgins, J. P. T., Altman, D. G., Gøtzsche, P. C., Jüni, P., Moher, D., Oxman, A. D., Savović, J., Schulz, K. F., Weeks, L., &
Sterne, J. A. C. (2011). The Cochrane Collaboration's tool for assessing risk of bias in randomised trials. BMJ, 343, d5928. https://www.bmj.com/content/343/bmj.d5928
Hong, Q. N., Fàbregues, S., Bartlett, G., Boardman, F., Cargo, M., Dagenais, P., Gagnon, M.-P., Griffiths, F., Nicolau, B., O'Cathain, A., Rousseau, M.-C., Vedel, I., & Vedel, I. (2018). The Mixed Methods Appraisal Tool (MMAT) version 2018 for information professionals and researchers. Education for Information, 34(4), 285–291. https://content.iospress.com/articles/education-for-information/efi180221
Imran. (2024). Integration of organic, inorganic and bio fertilizer, improve maize-wheat system productivity and soil nutrients. Journal of Plant Nutrition, 47(15), 2494-2510.
Isiolo County Government. (2023). County Climate Change Action Plan 2023–2027. https://maarifa.cog.go.ke/sites/default/files/2024-07/REVIEWED%20-%20CCAP..pdf
Kabara, M. A., Onono-Okelo, P. A., & Etyang, M. N. (2023). Efficacy of adaptation of smallholder maize production to climate variability in selected counties of Kenya. European Scientific Journal, 19(1), 189–208. https://doi.org/10.19044/esj.2023.v19n1p189
Kabara, M. B., Nwosisi, S., Adiku, S., Ojo, T. J., Nwosisi, C., & Gebeyehu, S. (2026). A scoping review of literature on climate change impacts among smallholder maize producers in low- and medium-income countries. Frontiers in
Climate, 8, Article 1704769. https://www.frontiersin.org/journals/climate/articles/10.3389/fclim.2026.1704769/full
Kamiri, H. W., Wanyama, J., Guthiga, P. M., & Mose, L. (2026). Mapping climate vulnerability to support climate adaptation in maize farming systems in Kenya. Food Security, 18, Article 1627. https://link.springer.com/article/10.1007/s12571-026-01627-3
Kaushal, M., Sharma, R., Vaidya, D., Gupta, A., Saini, H. K., Anand, A., ... & KC, D. (2023). Maize: an underexploited golden cereal crop. Cereal Research Communications, 51(1), 3-14.
Kenya Institute for Public Policy Research and Analysis (KIPPRA). (2023). Kenya economic report 2023: Climate change and food security in Kenya. Nairobi, Kenya: KIPPRA.
Kerich, E. C., Aaron, N. C., Kendagor, R. J., Tarus, S., Awino, M., Kanake, M. K., ... & Kinyua, J. N. (2025). Socio Economic, Health and Ecosystems Vulnerabilities to Climate Change in Rural Areas in Kenya: Implications for Human Capacity Resilience. Prevention and Treatment of Natural Disasters, 4(1), 265-298.
Kiboi, M., Musafiri, C., Fliessbach, A., Ng'etich, O., Wakindiki, I., & Ngetich, F. (2023). Selected conservation management strategies enhance maize yield stability in the sub-humid tropical agro-ecozone of Upper Eastern Kenya. Scientific Reports, 13, 21728. https://doi.org/10.1038/s41598-023-49198-8
Kipkulei, H. K., Bellingrath-Kimura, S. D., Lana, M., Ghazaryan, G., Baatz, R., Löhr, K., Matavel, C., Boitt, M. K., Chisanga, C. B., Rotich, B., & Sieber, S. (2025). Modeling the impact of climate change on maize (Zea mays L.) production at the county scale in Kenya. Regional Environmental Change, 25(62). https://doi.org/10.1007/s10113-025-02403-y
Kipkulei, H., Kimura, S. D., Lana, M., Ghazaryan, G., & others. (2024). Agronomic management response in maize (Zea mays L.) production across three agroecological zones of Kenya. Agrosystems, Geosciences & Environment, 7(1), e20478. https://doi.org/10.1002/agg2.20478
Kogo, B. K., Kumar, L., Koech, R., & Hasan, M. K. (2022). Response to climate change in a rain-fed crop production system: insights from maize farmers of western Kenya. Mitigation and Adaptation Strategies for Global Change, 27(8), 50.
Kogo, B. K., Kumar, L., Koech, R., & Kariyawasam, C. S. (2019). Modelling climate suitability for rainfed maize cultivation in Kenya using a Maximum Entropy (MaxENT) approach. Agronomy, 9(11), 727. https://doi.org/10.3390/agronomy9110727
Laub, M., Necpalova, M., Van de Broek, M., Corbeels, M., Ndungu, S. M., Mucheru-Muna, M. W., Mugendi, D., Yegon, R., Waswa, W., Vanlauwe, B., & Six, J. (2024). Modeling integrated soil fertility management for maize production in Kenya using a Bayesian calibration of the DayCent model. Biogeosciences, 21, 3691–3716. https://doi.org/10.5194/bg-21-3691-2024
Miriam, N., Jayne, M., Benjamin, D., & Alfred, M. (2025). Improving soil fertility, sorghum productivity and economic returns through organic and inorganic inputs in semiarid Kenya. Discover Soil, 2(1), 44. https://doi.org/10.1007/s44378-025-00068-x
Mnukwa, G., Kimaro, A., Mutua, F., & Wainaina, P. (2025). Climate change impacts on maize phenology and yield dynamics in Kenya's highland agroecosystems. Agricultural and Forest Meteorology, 356, 110245. https://doi.org/10.1016/j.agrformet.2025.110245
Mucheru-Muna, M., Mugendi, D., & Ndungu, S. (2025). Improving soil fertility, sorghum productivity and economic returns through organic and inorganic inputs in semiarid Kenya. Discover Soil, 2(44). https://doi.org/10.1007/s44378-025-00068-x
Mutyambai, D. M., Niassy, S., Calatayud, P. A., & Subramanian, S. (2022). Agronomic factors influencing Fall Armyworm (Spodoptera frugiperda) infestation and damage and its co-occurrence with stemborers in maize cropping systems in Kenya. Insects, 13(3), 266. https://doi.org/10.3390/insects13030266
Naik, S. K., Shinde, R., Mali, S. S., Sarkar, P. K., & Das, A. (2025). Land degradation: A global challenge to environmental sustainability and livelihood security. In Ecological Solutions to Agricultural Land Degradation (pp. 1-27). Singapore: Springer Nature Singapore.
Ngetich, F., Kiboi, M., Musafiri, C., & Wakindiki, I. (2023). Conservation agriculture strategies for sustainable maize productivity under climate variability in Kenya. Scientific Reports, 13, 21728. https://doi.org/10.1038/s41598-023-49198-8
Njagi, T., Onyango, K., & Kirimi, L. (2019). Sorghum production in Kenya: Farm-level characteristics, constraints and opportunities. Tegemeo Institute.
Njeru, F., Wambua, A., Muge, E., Haesaert, G., Gettemans, J., & Misinzo, G. (2023). Major biotic stresses affecting maize production in Kenya and their implications for food security. PeerJ, 11, e15685
Njora, B., & Yılmaz, H. (2021). Analysis of the impact of agricultural policies on food security in Kenya. Eurasian Journal of Agricultural Research, 5(2), 66-83.
Ochola, A. W., Nyamai, D. O., Olal, F. O., & Ngodhe, S. O. (2024). Effects of Rainfall Variability on Maize Production in Migori County, Kenya. JOURNAL OF SCIENCE, INNOVATION AND CREATIVITY Учредители: Utafiti Foundation, 3(2), 40-51.
Oluoch, K. O., De Groote, H., Gitonga, Z. M., Jin, Z., & Davis, K. F. (2022). A suite of agronomic factors can offset the effects of climate variability on rainfed maize production in Kenya. Scientific Reports, 12, 16043. https://doi.org/10.1038/s41598-022-19286-2
Omoyo, N. N., Wakhungu, J., & Oteng'i, S. (2015). Effects of climate variability on maize yield in the arid and semi-arid lands of lower eastern Kenya. Agriculture & Food Security, 4(8). https://doi.org/10.1186/s40066-015-0028-2
Ondiek, R. A., Saber, M., & Abdel-Fattah, M. (2024). Spatial–temporal analysis of impacts of climate variability on maize yield in Kenya. Agriculture, 14(8), 1415. https://www.mdpi.com/2077-0472/14/8/1415
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-
Wilson, E., McDonald, S., ... Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://www.bmj.com/content/372/bmj.n71
Qasim, M. (2025). Assessing spatial and temporal variability in maize yield in Kenya [Master's thesis, University of Twente]. https://essay.utwente.nl/fileshare/file/107883/Mujtaba_Qasim_MSE_Thesis_s3194922.pdf
Salat, M., & Swallow, B. (2018). Resource use efficiency as a climate smart approach: case of Smallholder Maize Farmers in Nyando, Kenya. Environments, 5(8), 93. Salat, & Swallow, (2018).
Santpoort, R. (2020). The drivers of maize area expansion in Sub-Saharan Africa. How policies to boost maize production overlook the interests of smallholder farmers. Land, 9(3), 68.
Suganya, A., Saravanan, A., & Manivannan, N. (2020). Role of zinc nutrition for increasing zinc availability, uptake, yield, and quality of maize (Zea mays L.) grains: An overview. Commun. Soil Sci. Plant Anal, 51(15), 2001-2021.
Tadesse, G. A., Robinson, C., Mwangi, C., Maina, E., Nyakundi, J., Marotti, L., Hacheme, G. Q., Alemohammad, H., Dodhia, R., & Lavista Ferres, J. M. (2024). Local vs. global: Local land-use and land-cover models deliver higher quality maps. arXiv. https://doi.org/10.48550/arXiv.2412.00777
Turner, B. L., Kasperson, R. E., Matson, P. A., McCarthy, J. J., Corell, R. W., Christensen, L., Eckley, N., Kasperson, J. X., Luers, A., Martello, M. L., Polsky, C., Pulsipher, A., & Schiller, A. (2003). A framework for vulnerability analysis in sustainability science. Proceedings of the National Academy of Sciences, 100(14), 8074–8079. https://www.pnas.org/doi/10.1073/pnas.1231335100
Visković, J., Dunđerski, D., Adamović, B., Jaćimović, G., Latković, D., & Vojnović, Đ. (2024). Toward an Environmentally Friendly Future: An Overview of Biofuels from Corn and Potential Alternatives in Hemp and Cucurbits. Agronomy, 14(6), 1195.
Wambugu, S. K., Ombori, O., Omunyin, M., & Onguso, J. (2023). Major biotic stresses affecting maize production in Kenya and their implications for food security. CABI Agriculture and Bioscience, 4, Article 38. https://cabiagbio.biomedcentral.com/articles/10.1186/s43170-023-00138-7
Waqas, M. A., Wang, X., Zafar, S. A., Noor, M. A., Hussain, H. A., Azher Nawaz, M., & Farooq, M. (2021). Thermal stresses in maize: effects and management strategies. Plants, 10(2), 293
Wells, G. A., Shea, B., O'Connell, D., Peterson, J., Welch, V., Losos, M., & Tugwell, P. (2014). The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. Ottawa Hospital Research
Institute. https://www.ohri.ca/programs/clinical_epidemiology/oxford.asp
Whittemore, R., & Knafl, K. (2005). The integrative review: Updated methodology. Journal of Advanced Nursing, 52(5), 546–553. https://onlinelibrary.wiley.com/doi/10.1111/j.1365-2648.2005.03621.x