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Spatiotemporal patterns of tropical deforestation and forest degradation in response to the operation of the Tucurui hydroelectric dam in the Amazon basin

机译:响应亚马逊河流域图库瑞水坝的运行,热带森林砍伐和森林退化的时空格局

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The planned construction of hundreds of hydroelectric dams in the Amazon basin has the potential to provide invaluable 'clean' energy resources for aiding in securing future regional energy needs and continued economic growth. These mega-structures, however, directly and indirectly interfere with natural ecosystem dynamics, and can cause noticeable tree loss. To improve our understanding of how hydroelectric dams affect the surrounding spatiotemporal patterns of forest disturbances, this case study integrated remote sensing spectral mixture analysis, GIS proximity analysis and statistical hypothesis testing to extract and evaluate spatially-explicit patterns of deforestation (clearing of entire forest patch) and forest degradation (reduced tree density) in the 80,000 km(2) neighborhoods of the Brazil's Tucurui Dam, the first large-scale hydroelectric project in the Amazon region, over a period of 25 years from 1988 to 2013. Results show that the average rates of deforestation were consistent during the first three time periods 1988-1995 (620 km(2) per year), 1995-2001 (591 km(2) per year), and 2001-2008 (660 km(2) per year). However, such rate dramatically fell to half of historical levels after 2008, possibly reflecting the 2008 global economic crisis and enforcement of the Brazilian Law of Environmental Crimes. The rate of forest degradation was relatively stable from 1988 to 2013 and, on average, was 17.8% of the rate of deforestation. Deforestation and forest degradation were found to follow similar spatial patterns across the dam neighborhoods, upstream reaches or downstream reaches at the distances of 5 km-80 km, suggesting that small and large-scale forest disturbances may have been influencing each other in the vicinity of the dam. We further found that the neighborhoods of the Tucuruf Dam and the upstream region experienced similar degrees of canopy loss. Such loss was mainly attributed to the fast expansion of the Tucurui town, and the intensive logging activities alongside major roads in the upstream reservoir region. In contrast, a significantly lower level of forest disturbance was discovered in the downstream region. (C) 2015 Elsevier Ltd. All rights reserved.
机译:亚马逊河流域数百座水电大坝的计划建设有潜力提供宝贵的“清洁”能源,以帮助确保未来的区域能源需求和持续的经济增长。但是,这些巨型结构直接或间接地干扰了自然生态系统的动态,并可能导致树木的明显损失。为了增进我们对水电大坝如何影响周围森林时空分布的理解,本案例研究集成了遥感光谱混合分析,GIS邻近分析和统计假设测试,以提取和评估森林砍伐的空间明晰模式(清理整个森林斑块) )和巴西Tucurui大坝的80,000 km(2)邻里的森林退化(树木密度降低),这是亚马逊地区第一个大型水电项目,从1988年到2013年为期25年。结果表明,在1988-1995年(每年620 km(2)),1995-2001年(每年591 km(2))和2001-2008年(每年660 km(2))的前三个时间段内,平均毁林率保持一致)。但是,这一比率在2008年后急剧下降到历史水平的一半,可能反映了2008年的全球经济危机和巴西《环境犯罪法》的执行。从1988年到2013年,森林退化率相对稳定,平均为毁林率的17.8%。在大坝附近,5 km-80 km距离的上游或下游,森林砍伐和森林退化都遵循相似的空间格局,这表明小规模和大规模的森林扰动可能在彼此之间相互影响。大坝。我们进一步发现,图库鲁夫大坝和上游地区的邻里经历了相似程度的冠层损失。这种损失主要归因于图库鲁伊镇的快速扩张,以及上游水库地区主要公路旁的密集伐木活动。相反,在下游地区发现的森林干扰水平明显较低。 (C)2015 Elsevier Ltd.保留所有权利。

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