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Monitoring the Invasion of Spartina alterniflora Using Multi-source High-resolution Imagery in the Zhangjiang Estuary, China

机译:利用多源高分辨率影像监测张江口互花米草入侵

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Spartina alterniflora ( S. alterniflora ) is one of the most harmful invasive plants in China. Google Earth (GE), as a free software, hosts high-resolution imagery for many areas of the world. To explore the use of GE imagery for monitoring S. alterniflora invasion and developing an understanding of the invasion process of S. alterniflora in the Zhangjiang Estuary, the object-oriented method and visual interpretation were applied to GE, SPOT-5, and Gaofen-1 (GF-1) images. In addition, landscape metrics of S. alterniflora patches adjacent to mangrove forests were calculated and mangrove gaps were recorded by checking whether S. alterniflora exists. The results showed that from 2003–2015, the areal extent of S. alterniflora in the Zhangjiang Estuary increased from 57.94 ha to 116.11 ha, which was mainly converted from mudflats and moved seaward significantly. Analyses of the S. alterniflora expansion patterns in the six subzones indicated that the expansion trends varied with different environmental circumstances and human activities. Land reclamation, mangrove replantation, and mudflat aquaculture caused significant losses of S. alterniflora . The number of invaded gaps increased and S. alterniflora patches adjacent to mangrove forests became much larger and more aggregated during 2003–2015 (the class area increased from 12.13 ha to 49.76 ha and the aggregation index increased from 91.15 to 94.65). We thus concluded that S. alterniflora invasion in the Zhangjiang Estuary had seriously increased and that measures should be taken considering the characteristics shown in different subzones. This study provides an example of applying GE imagery to monitor invasive plants and illustrates that this approach can aid in the development of governmental policies employed to control S. alterniflora invasion.
机译:互花米草(S. alterniflora)是中国危害最大的入侵植物之一。作为免费软件,Google Earth(GE)托管着世界许多地区的高分辨率图像。为了探索利用GE影像监测互花米草的入侵并建立对张江口互花米草入侵过程的了解,将面向对象的方法和视觉解释应用于GE,SPOT-5和Gaofen- 1(GF-1)图像。另外,计算了与红树林相邻的互花米草斑块的景观度,并通过检查是否存在互花米草来记录红树林间隙。结果表明,从2003年至2015年,张江口互花米草的面积范围从57.94公顷增加到116.11公顷,主要由滩涂转化而来,向海移动明显。对六个亚区互花米草扩展模式的分析表明,扩展趋势随环境条件和人类活动的不同而变化。土地开垦,红树林重新种植和滩涂养殖业导致互花米草严重损失。在2003-2015年期间,入侵间隙的数量增加,邻近红树林的互生链球菌斑块变得更大,聚集程度更高(类面积从12.13公顷增加到49.76公顷,聚集指数从91.15增加到94.65)。因此,我们得出的结论是,张江口的互花米链菌入侵已严重增加,应考虑到不同分区的特征采取措施。这项研究提供了一个应用GE影像监测入侵植物的例子,并说明了这种方法可以帮助制定用于控制互生链球菌入侵的政府政策。

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