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Long-term effects of oil pollution in mangrove forests (Baixada Santista, Southeast Brazil) detected using a GIS-based multitemporal analysis of aerial photographs

机译:使用基于GIS的航空影像多时相分析检测到红树林(巴西东南部的Baixada Santista)中油污染的长期影响

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摘要

Oil spills are potential threats to the integrity of highly productive coastal wetlands, such as mangrove forests. In October 1983, a mangrove area of nearly 300 ha located on the southeastern coast of Brazil was impacted by a 3.5 million liter crude oil spill released by a broken pipeline. In order to assess the long-term effects of oil pollution on mangrove vegetation, we carried out a GIS-based multitemporal analysis of aerial photographs of the years 1962, 1994, 2000 and 2003. Photointerpretation, visual classification, class quantification, ground-truth and vegetation structure data were combined to evaluate the oil impact. Before the spill, the mangroves exhibited a homogeneous canopy and well-developed stands. More than ten years after the spill, the mangrove vegetation exhibited three distinct zones reflecting the long-term effects of the oil pollution. The most impacted zone (10.5 ha) presented dead trees, exposed substrate and recovering stands with reduced structural development. We suggest that the distinct impact and recovery zones reflect the spatial variability of oil removal rates in the mangrove forest. This study identifies the multitemporal analysis of aerial photographs as a useful tool for assessing a system's capacity for recovery and monitoring the long-term residual effects of pollutants on vegetation dynamics, thus giving support to mangrove forest management and conservation.
机译:漏油是对高产沿海湿地(如红树林)完整性的潜在威胁。 1983年10月,位于巴西东南海岸的将近300公顷的红树林地区受到一条断裂的管道释放的350万升原油泄漏的影响。为了评估油污染对红树林植被的长期影响,我们对1962年,1994年,2000年和2003年的航拍照片进行了基于GIS的多时相分析。图片解释,视觉分类,分类量化,地面真实性结合植被结构数据来评估油的影响。在泄漏之前,红树林展现出均匀的树冠和发达的林分。泄漏发生十多年后,红树林植被表现出三个不同的区域,反映了油污的长期影响。受灾最严重的区域(10.5公顷)呈现出枯死的树木,裸露的底物和正在恢复的林分,结构发育减少。我们建议,不同的影响区和恢复区反映了红树林中除油率的空间变异性。这项研究确定了航空照片的多时相分析是评估系统恢复能力和监测污染物对植被动态的长期残留影响的有用工具,从而为红树林的管理和保护提供了支持。

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