Trajectory of coastal wetland vegetation in Xiangshan Bay, China, from image time series

Yongchao Liu; Yongxue Liu; Jialin Li; Chao Sun; Wenxuan Xu; Bingxue Zhao

doi:10.1016/j.marpolbul.2020.111697

Trajectory of coastal wetland vegetation in Xiangshan Bay, China, from image time series

Mar Pollut Bull. 2020 Nov:160:111697. doi: 10.1016/j.marpolbul.2020.111697. Epub 2020 Sep 29.

Authors

Yongchao Liu¹, Yongxue Liu², Jialin Li³, Chao Sun⁴, Wenxuan Xu⁵, Bingxue Zhao⁶

Affiliations

¹ School of Geography and Ocean Science, Collaborative Innovation Center of South China Sea Studies, Nanjing University, Nanjing, Jiangsu 210023, China; Key Laboratory of Coastal Zone Exploitation and Protection, Ministry of Natural Resources, Nanjing, Jiangsu 210019, China. Electronic address: yongchaoliu@smail.nju.edu.cn.
² School of Geography and Ocean Science, Collaborative Innovation Center of South China Sea Studies, Nanjing University, Nanjing, Jiangsu 210023, China; Key Laboratory of Coastal Zone Exploitation and Protection, Ministry of Natural Resources, Nanjing, Jiangsu 210019, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, Jiangsu 210023, China. Electronic address: yongxue@nju.edu.cn.
³ Department of Geography & Spatial Information Techniques, Ningbo University, Ningbo, Zhejiang 315211, China. Electronic address: lijialin@nbu.edu.cn.
⁴ Department of Geography & Spatial Information Techniques, Ningbo University, Ningbo, Zhejiang 315211, China. Electronic address: sunchao@nbu.edu.cn.
⁵ School of Geography and Ocean Science, Collaborative Innovation Center of South China Sea Studies, Nanjing University, Nanjing, Jiangsu 210023, China. Electronic address: wenxuan@smail.nju.edu.cn.
⁶ School of Geography and Ocean Science, Collaborative Innovation Center of South China Sea Studies, Nanjing University, Nanjing, Jiangsu 210023, China; Key Laboratory of Coastal Zone Exploitation and Protection, Ministry of Natural Resources, Nanjing, Jiangsu 210019, China. Electronic address: bingxue@smail.nju.edu.cn.

PMID: 33181964
DOI: 10.1016/j.marpolbul.2020.111697

Abstract

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.

Keywords: Classification mapping; Coastal management; Coastal wetland; Time series; Vegetation phenology.

MeSH terms

Bays
China
Ecosystem*
Environmental Monitoring
Wetlands*