Home / Current Issue / Paper 1720093
Microclimate Patterns and Their Impacts on Maize Production in Gwagwalada Area Council, Federal Capital Territory, Nigeria
Subject area: Physical Sciences and Environment · Area of research: Environmental Science
DOI: https://doi.org/10.64388/IREV10I1-1720093
Abstract
Microclimatic variability, expressed principally through fluctuations in rainfall and temperature, constitutes one of the most decisive determinants of crop performance in rain-fed farming systems across sub-Saharan Africa. This paper examines the pattern of microclimatic elements and their impacts on maize (Zea mays) production in Gwagwalada Area Council of the Federal Capital Territory (FCT), Nigeria, drawing on a thirty-year climatic record (1990 to 2020) complemented by household survey data obtained from two hundred and seventy-six respondents drawn from the upper, middle and lower agro-ecological zones of the study area, represented respectively by Ibwa, Gwako and Gwagwalada Central. A mixed-methods design combining polynomial trend regression of meteorological data with structured questionnaires, key informant interviews and Pearson product-moment correlation analysis was adopted. Findings show that annual rainfall in the area followed an erratic and weakly predictive trend (R2 = 0.15), with a general decline reported by seventy-three per cent of farmers, while annual mean temperature exhibited a stronger and more coherent warming signal (R2 = 0.61), rising markedly from the early 2000s onward. Seasonal analysis revealed that the June-July-August-September (JJAS) rainfall, which coincides with the reproductive stage of maize, was the variable most strongly correlated with maize yield in the upper zone (r = 0.66), while regression modelling showed that area cultivated and March-April-May maximum temperature were the most significant predictors of yield (R2 = 0.88). Increasing temperatures were associated with poor germination, wilting, delayed flowering and tasselling, and elevated pest incidence, while erratic rainfall onset disrupted planting calendars and depressed yields substantially below the varietal optimum. The paper concludes that microclimatic change is measurably reshaping the agronomic calendar and yield potential of maize in Gwagwalada Area Council and recommends strengthened climate monitoring, timely dissemination of seasonal forecasts and support for climate-responsive agronomic planning.
Keywords
Microclimate, Rainfall Variability, Temperature Trend, Maize Production, Gwagwalada, Federal Capital Territory
References
[1] Altieri, M. A. (1995). Agroecology: The science of sustainable agriculture. Boulder, CO: Westview Press.
[2] Andressen, J., Olson, J., Massawa, S., & Maitima, J. (2008). The effects of climate change and land use changes on climate and agricultural systems in Kenya. CLIP Policy Workshop.
[3] Ayanlade, A., & Radeny, M. (2020). Climate change and food security in Nigeria: Perception and adaptation strategies of smallholder farmers. Journal of Agricultural Systems, 15(2), 45-58.
[4] Balogun, O. (2001). The Federal Capital Territory of Nigeria: A geography of its development. University of Ibadan Press.
[5] Behera, S. K., Rao, P. J., & Mohapatra, S. (2012). Microclimate assessment for crop production. Journal of Agrometeorology, 14(1), 1-9.
[6] Best, J. W., & Kahn, J. V. (1998). Research in education (8th ed.). Allyn and Bacon.
[7] Dwamena, H. A. (2022). Effect of rainfall, temperature and relative humidity on maize yield. Advances in Meteorology, 2022, 9077383.
[8] FAO. (2023). The state of food and agriculture. Food and Agriculture Organization of the United Nations.
[9] Federal Capital Territory Agricultural Development Programme. (2022). Annual agricultural report. FCDA.
[10] Federal Ministry of Agriculture and Rural Development. (2022). Agricultural performance survey report. Abuja: FMARD.
[11] Hassan, S. M. (2008). Climate and environment of the Federal Capital Territory. Nasarawa State University.
[12] IPCC. (2001). Climate change 2001: Impacts, adaptation and vulnerability. Cambridge University Press.
[13] IPCC. (2018). Global warming of 1.5 degrees Celsius: Special report. Intergovernmental Panel on Climate Change.
[14] IPCC. (2022). Climate change 2022: Impacts, adaptation and vulnerability. Cambridge University Press.
[15] Ideki, O., Nwaerema, P., & Abali, T. (2024). Effect of climate variability on crop yield in Nigeria (1980-2020). Agricultural and Environmental Research Journal, 6(2), 34-48.
[16] Ishaya, S. (2013). Assessment of micro-climatic elements in Gwagwalada, FCT. Journal of Ecology and Natural Environment, 5(3), 55-63.
[17] Jones, H. G. (1993). Plants and microclimate. Cambridge University Press.
[18] Kolapo, A. (2025). Climate-smart agriculture and maize farming households in Nigeria. Agricultural Systems, 214, 103853.
[19] Krejcie, R. V., & Morgan, D. W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3), 607-610.
[20] Lobell, D. B., Schlenker, W., & Costa-Roberts, J. (2011). Climate trends and global crop production since 1980. Science, 333(6042), 616-620.
[21] Madiyazhagan, R., Birch, C. J., Carberry, P. S., & Michael, R. (2004). Water and high temperature stress effects on maize production. 4th International Crop Science Congress.
[22] NIMET. (2008). Nigerian climate review bulletin. Nigerian Meteorological Agency.
[23] Naiman, R. J., Decamps, H., & McClain, M. E. (2005). Riparia: Ecology, conservation, and management of streamside communities. Elsevier.
[24] Nyabundi, J. O., & Njoka, T. J. (1991). Impacts of climate change on agriculture and forests in Africa. In Change in weather: African perspectives on climate change.
[25] Nzali, T. C. (2024). Effects of rainfall, temperature and humidity variability on maize yield. Land, 13(9), 1360.
[26] Oseni, T. O., & Masarirambi, M. T. (2011). Effect of climate change on maize (Zea mays) production and food security in Swaziland. American-Eurasian Journal of Agriculture & Environmental Science, 11(3), 385-391.
[27] Parry, M. L. (1990). Climate change and world agriculture. Earthscan Publications.
[28] Ray, D. K., Mueller, N. D., West, P. C., & Foley, J. A. (2019). Climate variation explains a third of global crop yield variability. Nature Communications, 6, 5989.
[29] Republic of Kenya. (2012). National accelerated agricultural inputs access programme: Implementation guidelines, work plans and budgets. Government Printer.
[30] Rosenberg, N. J., Blad, B. L., & Verma, S. B. (1983). Microclimate: The biological environment. John Wiley and Sons.
[31] Semple, E. C. (1911). Influences of geographic environment. Henry Holt.
[32] Serdeczny, O., Adams, S., Baarsch, F., Coumou, D., Robinson, A., Hare, W., Schaeffer, M., Perrette, M., & Reinhardt, J. (2020). Climate change impacts in sub-Saharan Africa: From physical changes to their social repercussions. Regional Environmental Change, 17(6), 1585-1600.
[33] Waha, K., Müller, C., & Rolinski, S. (2013). Climate change impacts on maize yield in Sub-Saharan Africa. Global Environmental Change, 23(1), 34-45.
[34] Zhao, C., Liu, B., Piao, S., Wang, X., Lobell, D. B., Huang, Y., Huang, M., Yao, Y., Bassu, S., Ciais, P., Durand, J. L., Elliott, J., Ewert, F., Janssens, I. A., Li, T., Lin, E., Liu, Q., Martre, P., Muller, C., ... Asseng, S. (2021). Temperature increase reduces global yields of major crops in four independent estimates. Proceedings of the National Academy of Sciences, 114(35), 9326-9331.
How to cite this paper
@article{1720093,
author = {I. Ishiyaku, J. I Magaji, I. K Samaila},
title = {Microclimate Patterns and Their Impacts on Maize Production in Gwagwalada Area Council, Federal Capital Territory, Nigeria},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {10},
number = {1},
pages = {2881-2891},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1720093.pdf},
abstract = {Microclimatic variability, expressed principally through fluctuations in rainfall and temperature, constitutes one of the most decisive determinants of crop performance in rain-fed farming systems across sub-Saharan Africa. This paper examines the pattern of microclimatic elements and their impacts on maize (Zea mays) production in Gwagwalada Area Council of the Federal Capital Territory (FCT), Nigeria, drawing on a thirty-year climatic record (1990 to 2020) complemented by household survey data obtained from two hundred and seventy-six respondents drawn from the upper, middle and lower agro-ecological zones of the study area, represented respectively by Ibwa, Gwako and Gwagwalada Central. A mixed-methods design combining polynomial trend regression of meteorological data with structured questionnaires, key informant interviews and Pearson product-moment correlation analysis was adopted. Findings show that annual rainfall in the area followed an erratic and weakly predictive trend (R2 = 0.15), with a general decline reported by seventy-three per cent of farmers, while annual mean temperature exhibited a stronger and more coherent warming signal (R2 = 0.61), rising markedly from the early 2000s onward. Seasonal analysis revealed that the June-July-August-September (JJAS) rainfall, which coincides with the reproductive stage of maize, was the variable most strongly correlated with maize yield in the upper zone (r = 0.66), while regression modelling showed that area cultivated and March-April-May maximum temperature were the most significant predictors of yield (R2 = 0.88). Increasing temperatures were associated with poor germination, wilting, delayed flowering and tasselling, and elevated pest incidence, while erratic rainfall onset disrupted planting calendars and depressed yields substantially below the varietal optimum. The paper concludes that microclimatic change is measurably reshaping the agronomic calendar and yield potential of maize in Gwagwalada Area Council and recommends strengthened climate monitoring, timely dissemination of seasonal forecasts and support for climate-responsive agronomic planning.},
keywords = {Microclimate, Rainfall Variability, Temperature Trend, Maize Production, Gwagwalada, Federal Capital Territory},
month = {July},
doi = {https://doi.org/10.64388/IREV10I1-1720093}
}