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

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Abstract

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.

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Acknowledgments

This study was supported by the Public Projects of State Oceanic Administration (201005009-13), National Natural Science Foundation of China (No.41130750), Knowledge Innovation Program of the Chinese Academy of Sciences (KZZD-EW-10-04) and Program 135 from Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences (NIGLAS2012135006). The authors are grateful the advices from two anonymous reviewers and the editor.

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Authors and Affiliations

  1. State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China

    Guilin Liu & Luocheng Zhang

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Guilin Liu

  3. Department of Environmental Remote Sensing and Geoinformatics, University of Trier, D–54286, Trier, Germany

    Guilin Liu & Zipporah Musyimi

  4. Nanjing Forestry University, College of Landscape Architecture, Nanjing, 210037, China

    Qian Zhang

  5. School of Resource and Environmental Science, Wuhan University, Wuhan, 430079, China

    Qinghu Jiang

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  1. Guilin Liu
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  2. Luocheng Zhang
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  4. Zipporah Musyimi
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  5. Qinghu Jiang
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Correspondence to Luocheng Zhang.

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Liu, G., Zhang, L., Zhang, Q. et al. Spatio–Temporal Dynamics of Wetland Landscape Patterns Based on Remote Sensing in Yellow River Delta, China. Wetlands 34, 787–801 (2014). https://doi.org/10.1007/s13157-014-0542-1

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  • DOI: https://doi.org/10.1007/s13157-014-0542-1

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