湿地
海湾
植被(病理学)
环境科学
生态系统
物候学
遥感
水文学(农业)
自然地理学
生态学
海洋学
地理
地质学
医学
生物
病理
岩土工程
作者
Yongchao Liu,Yongxue Liu,Jia Li,Yongxue Liu,Wenxuan Xu,Biao Zhao
标识
DOI:10.1016/j.marpolbul.2020.111697
摘要
Coastal wetland vegetation is crucial for providing multiple ecosystem services. However, accurate assessment of wetland vegetation is problematic due to the challenging coastal environment. Using Xiangshan Bay (XB) in China as a typical case study, we developed a time series biological phenological approach to classifying coastal wetland vegetation using Landsat time-series images from 1984 to 2018. The results demonstrate that the total vegetation area of coastal wetlands in XB in 2018 was ~85.3 km2. The interannual dynamics of coastal wetland vegetation area in XB in the last 35 years can be divided into three periods: increasing volatility (1984-1998), decreasing (1999-2004), and increasing volatility (2005-2018). Our results emphasize the potential of the use of the time-series biological phenological approach for monitoring coastal wetland vegetation, which can contribute to the sustainable management of coastal ecosystems.
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