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Wetlands Ecology and Management

, Volume 27, Issue 1, pp 103–124 | Cite as

Detection of coastal wetland change in China: a case study in Hangzhou Bay

  • Nan Li
  • Longwei Li
  • Dengsheng Lu
  • Yinlong ZhangEmail author
  • Ming Wu
Original Paper

Abstract

Wetland monitoring is crucial for understanding wetland changes and responses to natural and anthropogenic actions. In this research, Hangzhou Bay coastal wetland was selected as the study area to analyze spatial patterns and dynamic changes based on Landsat multitemporal imagery. A hybrid approach combining expert knowledge, decision tree, threshold technique, unsupervised classification and postprocessing was developed for wetland classification. Three typical sites were selected to analyze different change patterns. Over the last 10 years, the wetlands have undergone dramatic changes, continued to expand outwards due to natural accumulation and increased in area. At the same time, these wetlands have also partially decreased with artificial reclamation and urban construction. An analysis of typical sites found that the change in the western part of this region was dominated by natural accumulation and that in the central and eastern parts was dominated by reclamation due to geographical location and hydrological power. In general, wetlands are continually changing under the joint action of natural accumulation, artificial reclamation and urban construction. The local terrain, hydrology, soil, population, economy and policy also influence wetland changes. The results of wetland monitoring are essential for the protection and management of local wetlands.

Keywords

Hangzhou Bay Coastal wetland Change detection Multitemporal Landsat imagery 

Notes

Acknowledgements

Nan Li acknowledges the financial support from the Zhejiang Province—Chinese Academy of Forestry joint-supported Forestry Science and Technology Program (2015SY01 and 2018SY03), the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD), Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX17_0819) and the Doctorate Fellowship Foundation of Nanjing Forestry University and and Zhejiang Provincial Natural Science Foundation (Grant# LQ19D010010).

Author contributions

DL and YZ developed the analytical framework. NL processed the data, classified land cover, detected the change and wrote the initial manuscript. LL and MW collected field survey data. All authors contributed to the editing/discussion of the manuscript.

Compliance with ethical standards

Conflicts of interest

The authors declare no conflict of interest.

Supplementary material

11273_2018_9646_MOESM1_ESM.docx (45 kb)
Supplementary material 1 (DOCX 45 kb)

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Copyright information

© Springer Nature B.V. 2018

Authors and Affiliations

  1. 1.Collaborative Innovation Center of Sustainable Forestry in Southern China of Jiangsu ProvinceNanjing Forestry UniversityNanjingChina
  2. 2.Key Laboratory of Carbon Cycling in Forest Ecosystems and Carbon Sequestration of Zhejiang Province, School of Environmental & Resource SciencesZhejiang Agriculture and Forestry UniversityLin’anChina
  3. 3.Center for Global Change and Earth ObservationsMichigan State UniversityEast LansingUSA
  4. 4.Fujian Provincial Key Laboratory for Subtropical Resources and EnvironmentFujian Normal UniversityFuzhouChina
  5. 5.Institute of Subtropical Forestry ResearchFuyangChina

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