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Impacts of Mau Forest Catchment on the Great Rift Valley Lakes in Kenya
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作者 Mark Kipkurwa Boitt 《Journal of Geoscience and Environment Protection》 2016年第5期137-145,共9页
Remote sensing and GIS applications are being widely used for various projects relating to natural resource management. Forests are very important national assets for economic, environmental protection, social and cul... Remote sensing and GIS applications are being widely used for various projects relating to natural resource management. Forests are very important national assets for economic, environmental protection, social and cultural values and should be conserved in order to realize all these benefits. Kenya’s forests are rapidly declining due to pressure from increased population, technological innovation, urbanization human development and other land uses. Mau forest is one of the major forests in Kenya that is a catchment area for many Great Rift Valley lakes within the country and faces a lot of destruction. Continued destruction of the Mau forest will cause catastrophic environmental damage, resulting in massive food crises and compromising the livelihoods of millions of Kenyans, and the possible collapse of the tourism industry. The purpose of this research was to investigate the relationship between the increasing rate of deforestation and the reduction of the volumes of water in the neighboring lakes between the years 1989 to 2010. Satellite images from Landsat-5 Thematic Mapper (TM) and Landsat-7 Enhanced Thematic Mapper (ETM+) were used for the detection of changes in the Mau forest and the dynamics of the neighboring water bodies that included lakes: Naivasha, Baringo, Nakuru, Elementaita and Bogoria. The research showed that from a period of 1989 to 2010 Mau forest has been decreasing due to deforestation and the water bodies have irregular dynamics in that, from 1989 to 2000, there was rise in the volume of water, this is attributed to the El Nino rains experienced in the country during the year 1997 and 1998. But between 2000 and 2010 the volume decreased as the forest is also decreasing. It is recommended that the government creates awareness to sensitize the public on the importance of such forests as catchment areas in Kenya. 展开更多
关键词 Environmental Protection Natural Resource Management Land Use Forest Cover Water Reduction Normalized Difference Vegetation Index Classification
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林地资源分类利用与林地资源价格 被引量:5
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作者 黄和亮 张建国 《林业经济问题》 北大核心 2005年第4期226-229,共4页
世界各国林业发展已由单纯追求以木材及林产品为主的经济效益,转为获取经济效益和生态社会效益并重。为了协调林地资源利用的经济效益和生态效益矛盾,将林地资源划分商品性林地资源和公益性林地资源,实行分类利用。商品性林地资源经营... 世界各国林业发展已由单纯追求以木材及林产品为主的经济效益,转为获取经济效益和生态社会效益并重。为了协调林地资源利用的经济效益和生态效益矛盾,将林地资源划分商品性林地资源和公益性林地资源,实行分类利用。商品性林地资源经营利用以盈利为目的,其价格是所能提供地租的资本化。而公益性林地资源经营利用以生态社会效益为主。其价格只能是输出效益的货币化。二者的价格内涵有根本的不同,因此应进行分类评估,评估的基本原则和方法也应不同。 展开更多
关键词 林地资源分类利用 商品性林地价格 公益性林地价格 评估方法
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