Authors: Mingfeng Liu*, Chinese University of Hong Kong, Hongsheng Zhang, The Chinese University of Hong Kong , Hui Lin, The Chinese University of Hong Kong
Topics: Remote Sensing, Biogeography, Spatial Analysis & Modeling
Keywords: Mangrove, Remote sensing, Invasion, Spatial analysis
Session Type: Paper
Start / End Time: 5:20 PM / 7:00 PM
Room: Studio 3, Marriott, 2nd Floor
Presentation File: No File Uploaded
Biological invasions have been regarded as a serious threat to ecosystems and human-beings at global scale, and even a significant component and major non-climatic driver of global change. Therefore, it is strongly required to monitor invasion species including the early detection of invasion, invasion process monitoring and future invasive risk prediction. Remote sensing can provide continuously large-scaled and long time-series data and improve accuracy for plant invasion study. In this study, two exotic mangrove species: Sonneratia apetala and S. caseolaris in Hong Kong were mapped from 2003 to 2017 for every two or three years based on very-high-resolution images. Temporal changes of the spatial distribution of the two invasive species was analyzed through the calculation of area-weighted centers and standard deviation ellipses of species classification maps of each selected year. The invasion path and invasion speed of each species were calculated separately based on the species maps. The results of this study show that these two invasive Sonneratia species spreaded widely in Hong Kong from 2003 to 2017 at a very fast speed through tidal and wave movement. Different invasion strategies were shown by these two congeneric species.