Remote sensing monitoring and potential distribution analysis of in coastal zone of Guangxi.

In recent years, the continuous expansion of () has caused serious damage to coastal wetland ecosystem. Mapping the coverage of by remote sensing and analyzing its growth pattern pose great importance in controlling the expansion and maintaining the biodiversity of coastal wetlands in Guangxi. This study aimed to use harmonic regression to fit time series data of vegetation indices based on Landsat images, and the phenological features were extracted as the input of random forest model to distinguish in coastal zone of Guangxi from 2009 to 2020. The influence of natural environmental factors on the distribution of was evaluated by Maxent model, and the potential distribution was analyzed. The results showed that: (1) Based on the time series data of characteristic indices fitted by harmonic regression, the extraction of phenological features of identification effect exhibited high accuracy (in the result of 2009, Overall Accuracy [OA] = 97.33%, Kappa = 0.95). (2) During 2009-2020, the in coastal zone of Guangxi kept proliferating and expanding from east to west. The total area of continued to increase while the growth rate showed a trend that increased first and then decreased. (3) The Maxent model shows good accuracy in simulating the habitat of , with a potential distribution area of 14,303.39 hm. The findings will be beneficial to the understanding of dynamic changes of in coastal zone of Guangxi and provide a scientific reference for other coastal wetland studies on expansion.