Forest Biodiversity Degradation: Assessment of Deforestation in Ohaji Egbema Forest Reserve, Imo State, Nigeria Using GIS Approach

Egbuche Christian Toochi
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Abstract

This research is focused on a spatial analysis of a reserved forest deforestation over a period of time using a GIS approach in Ohaji Egbema Local Government Area Imo state, Nigeria. It aimed at assessing and analyze deforestation in Ohaji Egbema forest reserve and examined the possible effects of deforestation on the forest environment. The assessment concentrated on when and where have forestlands changed in the reserved forest programmed within the period of 1984 - 2040 forecast. The key objectives were to assess the impact of land use and land cover changes on forest cover for the past 36 years, while sub objectives were dedicated to achieve in mapping out different land cover in Ohaji Egbema forest reserve, to assess land cover changes in the forest reserve susceptible to long term degradation from 1984 to 2020 of about 20 years. To evaluate forest loss in the area for the past 36years, and to predict the state of the land cover (forest) for the next 20 years (2040). Primary and secondary data employed using (200 ground truth points) were systematically collected from four different LULC classes in the study area using geographical positioning system (GPS), the secondary data (Satellite Landsat Imageries of 1984, 2002 and 2020) of the study area was acquired. The imageries were processed, enhanced and classified into four LULC classes using supervised classification in Idrisi and ArcGis software Ground truth points were utilized to assess the accuracy of the classifications. The data collected was analyzed in tables and figures and represented with a bar chart and pie chart graphs. Results showed that forest land, built up, grassland and water body were the four LULC classified in the study area. Kappa coefficient values of 91%, 85% and 92% for 1984, 2002 and 2020 respectively shows the accuracy of the classifications. Classifying the land uses into built-up and forest lands revealed that the built-up lands constantly rose while the forest lands kept dropping. The built-up lands increased by 49.30% between 1984 and 2000, 50.00% between 2002 and 2020 and 28.40% between 2020 and 2040 at the expense of the forest portion of the area which fell by 33.88% between 1984 and 2000,46.45% between 2002 and 2020, and 49.22% between 2020 and 2040. Increase in population, per capita income, and land use activities and by extension urban expansion were found to be the major factors causing deforestation in the forest reserve, it is likely that in the nearest future the remaining forest lands would be gradually wiped out and consequently the environmental crisis would be aggravated. Based on the findings of the study, there is need to urgently limit and control the high rate of deforestation going on in Ohaji Egbema forest reserve and embark on tree replanting campaigns without delay. There is need and recommended that a higher quality satellite imagery that offers up to 4m resolution should be used and a forest relic analysis should be conducted.
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森林生物多样性退化:基于GIS方法的尼日利亚伊莫州Ohaji Egbema森林保护区毁林评估
本研究的重点是利用GIS方法对尼日利亚伊莫州Ohaji Egbema地方政府区域一段时间内的保留森林砍伐进行空间分析。它旨在评估和分析Ohaji Egbema森林保护区的毁林情况,并审查毁林对森林环境可能产生的影响。评估的重点是在1984 - 2040年预测期间规划的保留林的林地何时何地发生变化。主要目标是评估过去36年土地利用和土地覆盖变化对森林覆盖的影响,子目标是在Ohaji Egbema森林保护区绘制不同土地覆盖时实现的目标,评估1984 - 2020年约20年的长期退化森林保护区的土地覆盖变化。评估该地区过去36年的森林损失,并预测未来20年(2040年)的土地覆盖(森林)状况。利用地理定位系统(GPS)系统采集了研究区4个不同LULC等级(200个地面真值点)的主要和次要数据,获取了研究区1984年、2002年和2020年的卫星Landsat影像。利用Idrisi和ArcGis软件对图像进行处理、增强,并将其分类为4个LULC类。收集到的数据用表格和图表进行分析,并用条形图和饼状图表示。结果表明:林地、建筑物、草地和水体是研究区土地利用资源的四种类型。1984年、2002年和2020年的Kappa系数分别为91%、85%和92%,表明分类的准确性。将土地利用分为建成区和林地,建成区不断增加,林地不断减少。1984 - 2000年建成区面积增长49.30%,2002 - 2020年增长50.00%,2020 - 2040年增长28.40%,森林面积下降33.88%,2002 - 2020年下降46.45%,2020 - 2040年下降49.22%。人口、人均收入和土地利用活动的增加以及城市扩张被认为是造成森林保护区森林砍伐的主要因素,很可能在不久的将来,剩余的林地将逐渐消失,从而加剧环境危机。根据研究结果,迫切需要限制和控制Ohaji Egbema森林保护区的高砍伐率,并立即开展树木重新种植运动。有必要并建议使用分辨率高达4米的高质量卫星图像,并进行森林遗迹分析。
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