Spatio–Temporal Dynamics of Wetland Landscape Patterns Based on Remote Sensing in Yellow River Delta, China

被引:0
|
作者
Guilin Liu
Luocheng Zhang
Qian Zhang
Zipporah Musyimi
Qinghu Jiang
机构
[1] Nanjing Institute of Geography and Limnology,State Key Laboratory of Lake Science and Environment
[2] Chinese Academy of Sciences,Department of Environmental Remote Sensing and Geoinformatics
[3] University of Chinese Academy of Sciences,Nanjing Forestry University
[4] University of Trier,School of Resource and Environmental Science
[5] College of Landscape Architecture,undefined
[6] Wuhan University,undefined
来源
Wetlands | 2014年 / 34卷
关键词
Wetland; Landscape dynamic; Object–oriented classification; Yellow River Delta;
D O I
暂无
中图分类号
学科分类号
摘要
The wetland landscape patterns of the Yellow River Delta have undergone an extremely significant change due to rapid economic development since 2000. The aim of this paper is to quantitatively analyze spatial and temporal changes of these wetlands in the recent decade. Three sets of wetland maps were acquired using object–oriented classification method based on remotely sensed imageries in 2000, 2005 and 2010. Then landscape indices from class and landscape level using FRAGSTATS 3.3 software were used to quantify the spatial and temporal dynamics of wetlands. The results showed that wetlands coverage decreased by approximately 2.27%. Natural wetlands decreased while constructed wetlands increased, especially prawn pools, which increased by 268.33%. Wetland landscape patches gradually became more complex and decentralized. Wetlands distribution analysis indicated that wetlands were mainly located in the area 45 km from the coastline. The study indicated a relatively high diversity at the estuary of the river and the north of the study area. However, wetlands were highly fragmented in the south of the study area and urban area. Dynamic of wetlands was mainly caused by human–induced factors, especially GDP and urban built–up area.
引用
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页码:787 / 801
页数:14
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