Mangani, RobertMazarura, JocelynMatlou, SollyMarquart, ArnimArcher, Emma Rosa MaryCreux, Nicky2025-03-272025-03-272025-02Mangani, R., Mazarura, J., Matlou, S. et al. The impact of past and current district-level climatic shifts on maize production and the implications for South African farmers. Theoretical and Applied Climatology 156, 109 (2025). https://doi.org/10.1007/s00704-024-05334-6.0177-798X (print)1434-4483 (online)10.1007/s00704-024-05334-6http://hdl.handle.net/2263/101764DATA AVAILABILITY : No datasets were generated or analysed during the current study.South Africa’s climate studies generally focus on coarser provincial levels, which aid policy recommendations, but have limited application at the farm level. District level climate studies are essential for farmer participation in climate change mitigation strategies and management. Our study aimed to investigate historical climate data for trends and their influence on maize yields at the magisterial level. Six sites were selected from three major maize-producing provinces in South Africa: Mpumalanga, Northwest, and Free State. Magisterial districts in each province were selected from different Köppen-Geiger climate zones. The climate variables assessed by the Mann–Kendall trend test included maximum or minimum temperature, rainfall, number of extreme high-temperature days, rainfall onset and cessation from 1986 to 2016. The average maximum temperatures were observed to have significant upward trends in most locations, except for Schweizer-Reneke and Bethlehem. The fastest rate of change was observed at Klerksdorp (0.1 °C per 30 years of study), while the Schweizer-Reneke district was the slowest (0.05 °C per 30 years of study). No significant changes were observed in rainfall onset, cessation, or total rainfall in Schweizer-Reneke, Standerton, and Bethlehem, which are scattered across the different provinces. The other districts in each province showed significant changes in these parameters. Rainfall accounted for the significant variation in maize yields over the study period, explaining between 18 and 40% of the variation in the North West, and between 1 and 17% in the Free State. These findings highlight the importance of understanding location-specific changes at a finer scale, which can help farming communities adjust agronomic practices and adapt to local climate shifts.en© The Author(s) 2025. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License.Agroclimatic parametersClimate changeSeasonal variabilityDroughtHeat stressCorn yieldSDG-02: Zero hungerSDG-13: Climate actionArticle