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

dc.contributor.authorLiu, Mingyue
dc.contributor.authorLi, Huiying
dc.contributor.authorLi, Lin
dc.contributor.authorMan, Weidong
dc.contributor.authorJia, Mingming
dc.contributor.authorWang, Zongming
dc.contributor.authorLu, Chunyan
dc.contributor.departmentEarth Science, School of Scienceen_US
dc.date.accessioned2018-02-02T15:46:31Z
dc.date.available2018-02-02T15:46:31Z
dc.date.issued2017-06
dc.description.abstractSpartina 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. View Full-Texten_US
dc.eprint.versionFinal published versionen_US
dc.identifier.citationLiu, M., Li, H., Li, L., Man, W., Jia, M., Wang, Z., & Lu, C. (2017). Monitoring the Invasion of Spartina alterniflora Using Multi-source High-resolution Imagery in the Zhangjiang Estuary, China. Remote Sensing, 9(6), 539. https://doi.org/10.3390/rs9060539en_US
dc.identifier.urihttps://hdl.handle.net/1805/15139
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.relation.isversionof10.3390/rs9060539en_US
dc.relation.journalRemote Sensingen_US
dc.rightsAttribution 3.0 United States
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/us/
dc.sourcePublisheren_US
dc.subjectremote sensingen_US
dc.subjectGoogle Earthen_US
dc.subjectinvasive speciesen_US
dc.titleMonitoring the Invasion of Spartina alterniflora Using Multi-source High-resolution Imagery in the Zhangjiang Estuary, Chinaen_US
dc.typeArticleen_US
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