Space-Time Oscillations in Rainfall Onsets and Their Implications on Sustainable Staple Crop Production in Imo State, Nigeria

Authors

  • Ambrose O. Abaneme

    Department of Political Science, Alvan Ikoku Federal University of Education, Owerri 460281, Nigeria

  • Ikpong Sunday Umo

    Department of Geography and Environmental Sustainability, Alvan Ikoku Federal University of Education (AIFUE), Owerri 460281, Nigeria

  • Ifeanyi G. Ukwe

    Department of Geography and Environmental Sustainability, Alvan Ikoku Federal University of Education (AIFUE), Owerri 460281, Nigeria

  • Christian E. Ogu

    Department of Agricultural Science, Alvan Ikoku Federal University of Education, Owerri 460281, Nigeria

DOI:

https://doi.org/10.30564/jasr.v9i2.13001
Received: 9 January 2026 | Revised: 24 April 2026 | Accepted: 28 April 2026 | Published Online: 30 April 2026

Abstract

This study investigates the influence of space-time oscillations in rainfall onsets on sustainable staple crop production in agro-ecological zones from 1981 to 2023 in Imo State. The study area was stratified into three agro-ecological zones, comprising Imo East, Imo West and Imo North using stratified sampling techniques to ease data extraction. Data on rainfall onsets were obtained from NASA native resolution daily data PRECTOTCORR MERRA-2 using a gridded method 43 climatic years and analyzed using SPSS. The descriptive assessments of the monthly mean distributive patterns reveal that Imo East recorded the highest mean value of 369.2 mm in September, while Imo North recorded the lowest value of 15.19 mm in December. Also, the highest annual mean value of 68.419 mm is associated with Imo North, while the most dominant standard deviation and variance scores of 13.159 mm and 173.169 mm occur in Imo West agro-ecological zone. The time series with regression models of oscillations in rainfall onsets offered the generalized negative trends, but at varying rates. Comparatively, Imo West gives the highest predictive power of −0.244x + 70.59 and a corresponding highest R2 value of 0.054 in the sequence, while the ANOVA model gives a low value of 0.466. The results led to a conclusion that variations in agro-ecological zones have no statistically significant effects on rainfall onsets. This study recommends an urgent need to boost farmers’ adaptation capacity through proactive climate change education and training by agro-extension officers to increase crop production and sustainable food security in Imo State.

Keywords:

Climatic Indicator; Rainfall; Planting Season; Onset; Sustainability; Crop Production

References

[1] Georgeson, L., Maslin, M., Poessinouw, M., 2017. Global disparity in the supply of commercial weather and climate information services. Science Advances. 3(5), e1602632. DOI: https://doi.org/10.1126/sciadv.1602632

[2] Omotosho, J.B., Balogun, A.A., Ogunjobi, K., 2000. Predicting monthly and seasonal rainfall, onset and cessation of the rainy season in West Africa using only surface data. International Journal of Climatology. 20(8), 865–880. DOI: https://doi.org/10.1002/1097-0088(20000630)20:8<865::AID-JOC505>3.0.CO;2-R

[3] Ferijal, T., Batelaan, O., Shanafield, M., et al., 2022. Determination of rainy season onset and cessation based on a flexible driest period. Theoretical and Applied Climatology. 148, 91–104. DOI: https://doi.org/10.1007/s00704-021-03917-1

[4] Ati, O.F., Stigter, C.J., Oladipo, E.O., 2002. A comparison of methods to determine the onset of the growing season in northern Nigeria. International Journal of Climatology. 22(6), 731–742. DOI: https://doi.org/10.1002/joc.712

[5] Fitzpatrick, R.G.J., Bain, C.L., Knippertz, P., et al., 2015. The West African monsoon onset: A concise comparison of definitions. Journal of Climate. 28, 8673–8694. DOI: https://doi.org/10.1175/JCLI-D-15-0265.1

[6] Marjuki, van der Schrier, G., Tank, A.M.G.K., et al., 2016. Observed trends and variability in climate indices relevant for crop yields in Southeast Asia. Journal of Climate. 29(7), 2651–2669.

[7] Robertson, A.W., Moron, V., Swarinoto, Y., 2009. Seasonal predictability of daily rainfall statistics over Indramayu district, Indonesia. International Journal of Climatology. 29(10), 1449–1462.

[8] Moron, V., Robertson, A.W., Qian, J.H., 2010. Local versus regional-scale characteristics of monsoon onset and post-onset rainfall over Indonesia. Climate Dynamics. 34, 281–299. DOI: https://doi.org/10.1007/s00382-009-0547-2

[9] Liebmann, B., Camargo, S.J., Seth, A., et al., 2007. Onset and end of the rainy season in South America in observations and the ECHAM 4.5 Atmospheric General Circulation Model. Journal of Climate. 20, 2037–2050. DOI: https://doi.org/10.1175/JCLI4122.1

[10] Guido, Z., Zimmer, A., Lopus, S., et al., 2020. Farmer forecasts: Impacts of seasonal rainfall expectations on agricultural decision-making in Sub-Saharan Africa. Climate Risk Management. 30, 100247. DOI: https://doi.org/10.1016/j.crm.2020.100247

[11] Millner, A., Washington, R., 2011. What determines perceived value of seasonal climate forecasts? A theoretical analysis. Global Environmental Change. 21(1), 209–218.

[12] Abaneme, A.O., Umo, I.S., Ukwe, I.G., et al., 2025. Spatio-temporal fluctuations in rainfall during the growing seasons and its implication on sustainable agro-land use and practices in Imo State. Alvan Journal of Social Sciences. 2(2), 1–21. DOI: https://doi.org/10.5281/zenodo.19680235

[13] Smithers, J., Smith, B., 2009. Human Adaptation to Climatic Variability and Change. In: Schipper, L.E., Burton, I. (Eds.). Adaptation to Climate Change. Earthscan: London, UK. pp. 15–33.

[14] United Nations Statistics Department, 2023. Global Indicator Framework for the Sustainable Development Goals and Targets of the 2030 Agenda for Sustainable Development. A/RES/71/313; E/CN.3/2023/2. United Nations Statistics Department: New York, NY, USA.

[15] Talchabhadel, R., Karki, R., Yadav, M., et al., 2019. Spatial distribution of soil moisture index across Nepal: A step towards sharing climatic information for agricultural sector. Theoretical and Applied Climatology. 137(3–4), 3089–3102.

[16] Talchabhadel, R., Karki, R., Thapa, B.R., et al., 2018. Spatio-temporal variability of extreme precipitation in Nepal. International Journal of Climatology. 38(11), 4296–4313. DOI: https://doi.org/10.1002/joc.5669

[17] Aryal, A., Maharjan, M., Talchabhadel, R., et al., 2022. Characterizing meteorological droughts in Nepal: A comparative analysis of standardized precipitation index and rainfall anomaly index. Earth. 3(1), 409–432. DOI: https://doi.org/10.3390/earth3010025

[18] Hubertus, L., Groth, J., Teucher, M., et al., 2023. Rainfall changes perceived by farmers and captured by meteorological data: two sides to every story. Regional Environmental Change. 23(2), 75. DOI: https://doi.org/10.1007/s10113-023-02064-9

[19] Allen, M.R., Dube, O.P., Solecki, W., et al., 2018. Framing and Context. In: Masson-Delmotte, V., Zhai, V.P., Portner, H.O., et al. (Eds.). Global Warming of 1.5 °C. Intergovernmental Panel on Climate Change: Geneva, Switzerland.

[20] Rauch, M., Bliefernicht, J., Sawadogo, W., et al., 2025. Seasonal prediction of rainfall variability for the West African Sudan-Sahel. Frontiers in Water. 6, 1523898. DOI: https://doi.org/10.3389/frwa.2024.1523898

[21] Bliefernicht, J., Rauch, M., Laux, P., et al., 2022. Atmospheric circulation patterns that trigger heavy rainfall in West Africa. International Journal of Climatology. 42(12), 6515–6536. DOI: https://doi.org/10.1002/joc.7613

[22] Akinseye, F.M., Agele, S.O., Traore, P.C.S., et al., 2016. Evaluation of the onset and length of growing season to define planting date—‘a case study for Mali (West Africa)’. Theoretical and Applied Climatology. 124, 973–983. DOI: https://doi.org/10.1007/s00704-015-1460-8

[23] Mendes, O., Correia, E., Fragoso, M., 2025. Variability and trends of the rainy season in West Africa with a special focus on Guinea-Bissau. Theoretical and Applied Climatology. 156, 242. DOI: https://doi.org/10.1007/s00704-025-05471-6

[24] Mendes, O., Fragoso, M., 2024. Recent changes in climate extremes in Guinea-Bissau. African Geographical Review. 44(2), 166–184. DOI: https://doi.org/10.1080/19376812.2024.2359997

[25] Diatta, S., Diedhiou, C.W., Dione, D.M., et al., 2020. Spatial variation and trend of extreme precipitation in West Africa and teleconnections with remote indices. Atmosphere. 11(9), 999.

[26] Odekunle, T.O., 2004. Determining rainfall onset and retreat dates in Nigeria. Journal of Human Ecology. 16(4), 239–247.

[27] Mason, S., Chidzambwa, S., 2009. Position Paper: Verification of African RCOF Forecasts. IRI Technical Report. International Research Institute for Climate and Society: New York, NY, USA.

[28] Pirret, J.S.R., Daron, J.D., Bett, P.E., et al., 2020. Assessing the skill and reliability of seasonal climate forecasts in Sahelian West Africa. Weather and Forecasting. 35(3), 1035–1050. DOI: https://doi.org/10.1175/WAF-D-19-0168.1

[29] Isaiah, A.I., Yamusa, I., Odunze, A.M., et al., 2023. Rainfall variability assessment and its temporal implications for crop production and water management in Akwa Ibom State, Nigeria. Journal of Meteorology and Climate Science. 23(1), 26–42.

[30] Enwereuzor, A.I., Umo, I.S., Charles-Akalonu, C.A., 2021. The condition of infrastructure and the development of rural communities in Imo State, Nigeria. Social Sciences. 10(3), 132–139. DOI: https://doi.org/10.11648/j.ss.20211003.18

[31] Umo, I.S., Enwereuzor, A.I., 2021. The implications of spatial variations in geographic locations, geology, and pedology on food security in the Southeast Nigeria. Journal of Earth Sciences. 10(3), 83–89. DOI: https://doi.org/10.11648/j.earth.20211003.12

[32] Harris, I., Osborn, T.J., Jones, P., et al., 2020. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Scientific Data. 7, 109. DOI: https://doi.org/10.1038/s41597-020-0453-3

[33] Okoro, U.K., Chen, W., Chineke, C., et al., 2014. Comparative analysis of gridded datasets and gauge measurements of rainfall in the Niger Delta Region. Research Journal of Environmental Sciences. 8(7), 373–390. DOI: https://doi.org/10.3923/rjes.2014.373.390

[34] Chen, D.L., Tian, Y.D., Yao, T.D., et al., 2016. Satellite measurements reveal strong anisotropy in spatial coherence of climate variations over the Tibet Plateau. Scientific Reports. 6(1).

[35] Ezemonye, M.N., Ibanga, O.A., Umo, I.S., et al., 2025. The dynamics in rainfall and its implications on hunting livelihood in the littoral ecological zones of Niger Delta. Alvan Journal of Social Sciences. 2(3), 671–692.

[36] Isaiah, A.I., Yamusa, A.M., Odunze, A.C., 2020. Impact of Climate Change on Rainfall Distribution on Cassava Yield in Coastal and Upland Areas of Akwa Ibom State, Nigeria. Journal of Experimental Agriculture International. 42(5), 44–53.

[37] Mugalavai, E.M., Kipkorir, E.C., Raes, D., et al., 2008. Analysis of rainfall onset, cessation and length of growing season for western Kenya. Agricultural and Forest Meteorology. 148(6–7), 1123–1135. DOI: https://doi.org/10.1016/j.agrformet.2008.02.013

[38] Umo, I.S., Enwereuzor, A.I., Ezemonye, M.N., 2021. Mathematical modelling of seasonal dynamics of bedload sediments in eco-geomorphologic units of humid tropical Rivers, Southeastern Nigeria. NIPES Journal of Science and Technology Research. 3(4), 259–270.

[39] Umo, I.S., 2025. Spatial patterns in soil chemistry and granulometry in the geomorphic hazards’ vulnerable land and the need for sustainable utilizations. Land Management and Utilization. 1(4), 1–18. DOI: https://doi.org/10.54963/lmu.v1i4.1601

[40] Bliefernicht, J., Waongo, M., Salack, S., et al., 2019. Quality and value of seasonal precipitation forecasts issued by the West African Regional Climate Outlook Forum. Journal of Applied Meteorology and Climatology. 58(3), 621–642. DOI: https://doi.org/10.1175/JAMC-D-18-0066.1

[41] Gumma, M.K., Gauchan, D., Nelson, A., et al., 2011. Temporal changes in rice-growing area and their impact on livelihood over a decade: A case study of Nepal. Agriculture, Ecosystems & Environment. 142(3–4), 382–392. DOI: https://doi.org/10.1016/j.agee.2011.06.010

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Abaneme, A. O., Umo, I. S., Ukwe, I. G., & Ogu, C. E. (2026). Space-Time Oscillations in Rainfall Onsets and Their Implications on Sustainable Staple Crop Production in Imo State, Nigeria. Journal of Atmospheric Science Research, 9(2), 92–105. https://doi.org/10.30564/jasr.v9i2.13001

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