Using Land Cover Change to Predict Forest Degradation Pressure Points, Eastern Mau Forest, Kenya

IF 0.3
A. Ndubi
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引用次数: 1

Abstract

Land cover change in any ecosystem vary in space and time. The study analyzed spatial-temporal land cover change to predict forest degradation pressure points in Eastern Mau Forest Reserve. The study objectives were to determine types and amount of spatial-temporal land cover change; land cover change drivers and; forest resources use sustainability. The study used mixed sample survey design involving purposive sampling of spatial data and cluster sampling of forest resource use data. Primary data included ground control points, field validation data and forest resource use data. Secondary data included Landsat imagery, forest and administration boundaries and settlements data. Analysis was done for 1986-2014 period using Remote Sensing and Geographical Information System. The analysis techniques used included object based image segmentation and classification, accuracy assessment and land cover change detection. Land cover types in Eastern Mau Forest consisted of indigenous forest, shrubland, grassland, plantation forest, cultivated fields, bare ground and built-up area. The analysis results depicted that cultivated fields coverage increased from 1% to 47%. Indigenous and plantation forests decreased from 43% to 36% and 34% to 7% respectively. Grassland and shrubland decreased from 16% to 8% and 6% to 2% respectively. Bare ground and built up area had a change of less than 1% each. Causes of pressure that lead to forest degradation included crop cultivation, settlement construction, livestock grazing, charcoal burning, firewood collection, logging, bee keeping and medicinal herbs extraction. Land cover change was more on the eastern side than on the western side. Indigenous and plantation forests were likely to disappear if cropland and built up area expansions were to remain unchecked. The study recommendations were: resettlement activities be eliminated in the Eastern Mau Forest; excision of forest land for crop cultivation should be discouraged; and scientific research should be carried out on sustainable plantation forest activities.
利用土地覆盖变化预测森林退化压力点,肯尼亚东茂森林
任何生态系统的土地覆盖变化在空间和时间上都是不同的。通过分析东茂森林保护区土地覆盖的时空变化,预测森林退化压力点。研究目标是确定土地覆盖时空变化的类型和数量;土地覆盖变化驱动因素;森林资源利用的可持续性。研究采用空间数据有目的抽样和森林资源利用数据聚类抽样的混合抽样设计。原始数据包括地面控制点、野外验证数据和森林资源利用数据。次要数据包括陆地卫星图像、森林和行政边界和住区数据。利用遥感和地理信息系统对1986-2014年进行了分析。使用的分析技术包括基于目标的图像分割和分类、精度评估和土地覆盖变化检测。东茂森林的土地覆被类型包括原生林、灌丛、草地、人工林、耕地、裸地和建成区。分析结果表明,耕地覆盖率从1%提高到47%。原生林和人工林分别从43%下降到36%和34%下降到7%。草地和灌丛分别从16%下降到8%和6%下降到2%。裸地和建成区的变化均小于1%。导致森林退化的压力原因包括作物种植、定居点建设、牲畜放牧、木炭燃烧、木柴收集、伐木、养蜂和草药提取。东侧土地覆被变化大于西侧。如果农田和建筑面积的扩张不受控制,土著森林和人工林可能会消失。这项研究的建议是:取消东茂森林的重新安置活动;不鼓励砍伐林地种植农作物;开展可持续人工林活动的科学研究。
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来源期刊
International Letters of Natural Sciences
International Letters of Natural Sciences MULTIDISCIPLINARY SCIENCES-
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