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An assessment of adaptation options enhancing smallholder farmers resilience to climate variability and change: Case of Mbengwi Central Sub-Division, North-West Region of Cameroon

机译:对适应方案的评估,以增强小农户对气候变化和变化的适应能力:以喀麦隆西北部姆本威中央分区为例

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Farmers’ implementation of suitable adaptation measures in the face of climate variability and change (CVC) depends first and foremost on their ability to perceive CVC. This paper analyzes the adaptation measures implemented by smallholder farmers (SHFs) in Mbengwi Central Sub-Division, North-West Region of Cameroon in the face of CVC as well as the determinants of smallholder farmers’ choice of adaptation measures. Climate data collected from meteorological stations in the study area and farmers’ perceptions obtained through household surveys were analyzed using descriptive statistics (frequency tables, bar charts, histograms and percentage indices) and inferential statistics (Coefficient of Variation and the Multinomial Logistic (MNL) regression model). Farmers’ perceptions of CVC were then compared with actual short and long term meteorological data for the study area. Analysis was done on SPSS 17.0, Microsoft Excel 2007, and STATA 7.0. The results revealed that a majority of the respondents perceived an increase in temperature (79.2%) and a drop in the quantity of rainfall (59.2%) which corroborated almost perfectly with the analyzed meteorological data for the study area. From the twelve adaptation measures identified by SHFs, home gardens emerged as the most prevalent adaptation measure in the study area. Following the categorization of the multifarious adaptation measures implemented by SHFs, agroforestry practices emerged as the most prevalent adaptation measure. Results of the MNL regression model revealed that the main determinants of farmers’ choice of adaptation measures in the study area were age of household head, number of farms possessed, farm size, and access to weather information (p<0.05).
机译:面对气候变化和变化(CVC),农民实施适当的适应措施首先取决于他们对CVC的感知能力。本文分析了面对CVC的喀麦隆西北地区姆本威中央分区小农户采取的适应措施,以及决定小农户选择适应措施的决定因素。使用描述性统计数据(频率表,条形图,直方图和百分比指数)和推论统计数据(变异系数和多项式逻辑回归)对从研究区域的气象站收集的气候数据和通过家庭调查获得的农民的看法进行了分析。模型)。然后将农民对CVC的看法与研究区域的实际短期和长期气象数据进行比较。在SPSS 17.0,Microsoft Excel 2007和STATA 7.0上进行了分析。结果表明,大多数受访者认为温度升高(79.2%)而降雨量下降(59.2%),几乎与研究区域的分析气象数据完全吻合。在SHF确定的十二种适应措施中,家庭花园已成为研究区域中最普遍的适应措施。在对SHF实施的多种适应措施进行分类之后,农林业实践成为最普遍的适应措施。 MNL回归模型的结果表明,研究区域农民选择适应措施的主要决定因素是户主年龄,拥有的农场数量,农场规模以及获得天气信息的可能性(p <0.05)。

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