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Impact of Rainfall Variability on Crop Production within the Worobong Ecological Area of Fanteakwa District, Ghana

机译:加纳Fanteakwa区Worobong生态区内农作物生产对农作物生产的影响

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摘要

Crop production in the Fanteakwa District is predominantly rainfed, exposing this major livelihood activity to the variability or change in rainfall pattern. The net potential effect of severe changes in rainfall pattern is the disruption in crop production leading to food insecurity, joblessness, and poverty. As a major concern to food production in Ghana, this study seeks to show the relationship between the production of major crops and rainfall distribution pattern in the Worobong Agroecological Area (WAA) relative to food security in the face of climate change. The study analysed the variability in local rainfall data, examining the interseasonal (main and minor) rainfall distribution using the precipitation concentration index (PCI), and determined the pattern, availability of water, and the strength of correlation with crop production in the WAA. Data from the Ghana Meteorological Agency (GMet) spanning a 30-year period and grouped into 3 decades of 10 years each was used. Selected crop data for 1993-2014 was also obtained from the Ministry of Food and Agriculture’s District office and analyzed for trends in crop yield over the period and established relationship between the crop data and the rainfall data. Part of the result revealed that rainfall variability within the major seasons in the 3 groups was lower than the minor seasons. It further showed that yields of three crops have declined over the period. Among the strategies to sustain crop production is to make the findings serve as useful reference to inform discussions and policy on adaptive agricultural production methodologies for the area in the face of changing climate.
机译:Fanteakwa区的农作物生产主要是雨量,使这一重大的生计活动暴露于降雨模式的可变性或变化。降雨模式严重变化的净潜力效应是作物生产中的破坏,导致粮食不安全,失业和贫困。作为加纳粮食生产的主要关注点,该研究旨在表明在气候变化面前为粮食安全的伍德农业生态区(WAA)生产主要作物和降雨分布模式之间的关系。该研究分析了局部降雨数据的可变性,检查使用沉淀浓度指数(PCI)的差异(主要和次要的)降雨分布,并确定了与WAA中作物生产的水的模式,水的力量和相关性。来自加纳气象局(GMET)的数据,跨越了30年的时间,分为3年10年,每次使用。 1993 - 2014年的选定作物数据也从粮食和农业部办事处提供,并在该期间分析了作物产量的趋势,并建立了作物数据与降雨数据之间的关系。结果的一部分显示,3组主要季节内的降雨变异性低于小季节。进一步表明,在此期间,三种作物的产量下降。在维持作物生产的战略中,使调查结果是有用的参考,以便在换气变化的地区的适应性农业生产方法中了解讨论和政策。

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