Monitoring the Invasion of Spartina alterniflora Using Multi-source High-resolution Imagery in the Zhangjiang Estuary, China
Monitoring the Invasion of Spartina alterniflora Using Multi-source High-resolution Imagery in the Zhangjiang Estuary, China
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利用多源高分辨率影像监测中国张江口互花米草的入侵
DOI：
10.3390/rs9060539
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发表时间：
2017-06-01
期刊：
影响因子：
5
通讯作者：
Lu, Chunyan
中科院分区：
文献类型：
--
作者：
Liu, Mingyue;Li, Huiying;Lu, Chunyan
互花米草Spartina alterniflora（S.互花米草（alterniflora）是我国危害最大的外来入侵植物之一。谷歌地球（GE）作为一个免费软件，拥有世界许多地区的高分辨率图像。探索利用GE影像监测S.互花米草入侵的研究，并对互花米草入侵过程进行了初步的认识。以GE、SPOT-5和高分一号（GF-1）卫星图像为研究对象，采用面向对象的方法进行目视解译。此外，S.通过检查S.互花米草存在。结果表明，2003-2015年，S.结果表明，长江口的互花米草数量从57.94 ha增加到116.11 ha，主要由滩涂转化而来，并向外海迁移。分析了S.互花米草在6个亚带的扩展模式表明，互花米草的扩展趋势因环境条件和人类活动的不同而不同。垦殖、红树林回植和滩涂养殖造成了严重的赤潮损失。互花入侵林隙数量增加，S.在2003-2015年期间，邻近红树林的互花米草斑块变得更大，更聚集（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，我们得出结论，S。因此，应根据不同亚带的特点采取相应的防治措施。这项研究提供了一个应用GE图像监测入侵植物的例子，并说明这种方法可以帮助政府制定控制S。互花米草入侵
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.