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Indigenous Land Management Practices and Land Cover Change in Akwa Ibom State, Nigeria

机译:尼日利亚阿夸伊博姆州的土著土地管理实践和土地覆被变化

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This work sought and identified the different types of land covers; detected the changes in land cover and examined the driving forces of such changes in Ibiono Ibom Local Government Area of Akwa Ibom State, Nigeria. Satellite images data of the area for 1986 and 2006 were collected for analysis. Household level social survey was conducted to generate data on the socio-economic variables. The images were subjected to principal component analysis to reduce and compress the data while the supervised image classification algorithm was applied to process the images into different land cover classes. The change detection algorithm in Erdas imagines was applied to measure and calculate the land cover change of the area. The result of the social survey revealed that 58% of the occupation was land based while in terms of yearly income, 65 percent earned less than $300 (#48000). The change detection carried out revealed an increase in areas of secondary forest while bush fallow recorded a reduction up to 34.02 hectares (56.55%) within the study period. Socio-economic variables of poor income and mode of land preparation for farming were the major drivers of change. Based on the findings, it is recommended that the slash and burn mode of land preparation be discouraged.
机译:这项工作寻求并确定了不同类型的土地覆盖;在尼日利亚阿克瓦·伊博姆州的伊比诺·伊博姆地方政府区域检测了土地覆被的变化并研究了这种变化的驱动力。收集该地区1986年和2006年的卫星图像数据进行分析。进行了家庭层面的社会调查,以生成有关社会经济变量的数据。对图像进行主成分分析以减少和压缩数据,同时应用监督图像分类算法将图像处理为不同的土地覆被类别。 Erdas想像中的变化检测算法用于测量和计算区域的土地覆盖变化。社会调查的结果表明,有58%的职业是基于土地的,而就年收入而言,有65%的收入不足300美元(#48000)。进行的变化检测显示,在研究期内,次生林的面积有所增加,而灌木丛的休耕面积却减少了34.02公顷(56.55%)。收入低下的社会经济变量和耕种土地的方式是变化的主要驱动力。根据调查结果,建议不要采用刀耕火种的土地整理方式。

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