Seasonal Rainfall Variability and Arable Farming within the Dry Equatorial: Evidence from the Effutu Municipality

I. Dadson, B. Mensah, Ellen Kwarteng, S. Owusu
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Abstract

Over the past three decades, one of the major problems that confront developing economies in Africa is the impact of climate variability on agricultural development. In the face of seasonal rainfall variation and the rain-fed nature of farming, agriculture, which is the main source of livelihood for most communities in Ghana, is threatened. The study sought to ascertain the impact of seasonal rainfall variation on arable farming within the Dry Equatorial climate of Ghana, focusing on evidence from the Effutu Municipality. Using coefficient of variation (CV) and the Precipitation Concentration Index (PCI) models, rainfall data spanning for twenty-three years obtained from the Ghana Meteorological Authority were analysed for interseasonal and interannual patterns and variability. The Pearson moment correlation coefficient was used to induce a statistical index to establish the relationship between rainfall distribution and crop yield, particularly for rice production. The findings of the study revealed a high coefficient of variation for both the major and minor rainfall seasons for the past two decades with a corresponding relatively high PCI for the period. This suggests high variability in rainfall patterns in the two seasons over the past twenty years with detection of a general decline in rainfall amounts. A moderate positive P-value for rainfall and crop yield indicates that rice production output is dependent on rainfall patterns within the Effutu Municipality. High rainfall amounts were associated with more rice outputs and vice versa. The study recommends on-farm adaptive practices such as mulching, use of drought-resistant varieties, and government-supported irrigated farming.
干旱赤道地区的季节性降雨变异和耕地农业:来自埃富图市的证据
在过去的三十年里,非洲发展中经济体面临的主要问题之一是气候变化对农业发展的影响。面对季节性降雨的变化和农业的雨养性质,作为加纳大多数社区主要生计来源的农业受到威胁。该研究试图确定季节性降雨变化对加纳干燥赤道气候下可耕地农业的影响,重点关注来自埃富图市的证据。利用变异系数(CV)和降水浓度指数(PCI)模型,分析了从加纳气象局获得的23年降雨数据的季节间和年际模式和变率。利用Pearson矩相关系数推导出一个统计指标,建立降雨分布与作物产量,特别是水稻产量之间的关系。研究结果表明,在过去20年里,主要和次要降雨季节的变化系数都很高,相应的PCI也相对较高。这表明,在过去二十年中,两个季节的降雨模式具有很高的变异性,并发现降雨量普遍下降。降雨量和作物产量的p值为正,表明水稻产量取决于埃富图市的降雨模式。降雨量高与水稻产量高有关,反之亦然。该研究建议在农场采取适应性措施,如覆盖、使用抗旱品种和政府支持的灌溉农业。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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