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The big data analysis of land use evolution and its ecological security responses in Silver Beach of China by the clustering of spatial patterns

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Abstract

Silver Beach is a typical sandy plain coast located in the southeastern city of Beihai in Guangxi province, China. Because of its obvious land-use changes and ecosystem deterioration in recent decades, a sustainable development management and environmental protection project should be urgently proposed. Therefore, the remote-sensing images of Landsat are adopted to analyze the land use evolution and to evaluate its ecological security during the past 35 years in Silver Beach of this paper. The results show: in the period of 1979a–2013a, the areas of constructive land and artificial wetland are considerably increased and mainly transformed from cultivated land and forest land. The areas of cultivated land and forest land are substantially reduced accordingly, but the areas of grassland, water area and intertidal zone have no great extent of variation. Its land use intensities are consistently increased, but its land use diversities are abundant before 2000a and then significant decreased. Overall, the land use evolution presents slow in development speed, strengthen in development intensity, down in ecological richness and fragment in spatial patterns. In terms of ecological security, although there has short-term rising of ecological service value and security in 2006a, the whole structure, stability and ecological service function in Silver Beach are declined, and its vulnerabilities are accordingly increased. As a matter of fact, these results are achieved by shortly to improve the utilization rate of the artificial wetland and the intertidal zone resources with the cost of ecosystem structure and stability destruction. The impact factors of leading to above results are not only climatic factors as air temperature, typhoon, tide, but also even more important human activity factors as urbanization, sea reclamation, fishing, tourism and planning management in the studied time period. In consequence, the research findings from this study should be able to help understand the interacting mechanism among above multiple factors and to quantify respective contribution to land use evolution and its ecological security, which would provide an importantly scientific instruction for the future development management protection in Silver Beach.

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Acknowledgments

This work was funded by (1): The scientific research projects of colleges and universities in the Guangxi province department of education, China (No. T3030097904); (2): The science-technology projects in the water resources department of Guangxi province, China (No. 201522); (3): Natural science fund project in Guangxi, China (No. 2015GXNSFBA139222); (4): The Scientific Research Foundation of GuangXi University (No. XJZ140286); The authors are grateful to Professor Li Jianquan for his suggestions on the early field investigation and information consultant in the project research, and addition, would like to acknowledge the Beihai Municipal Dvelopment & Reform Commission and the management committee of Silver Beach for providing useful materials and giving helps. In addition, the authors also thank the United States Geological Survey(USGS) and the geospatial data in the cloud of Computer Network Information Center in Chinese Academy for offering the Landsat data sets.

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Authors and Affiliations

  1. Key Laboratory of Disaster Prevention and Structural Safety of Ministry of Education, Guangxi University, Nanning, 530004, China

    Yun-chuan Yang, Li-ping Liao & Liu-bin Yan

  2. Guangxi Key Laboratory of Disaster Prevention and Engineering Safety, Guangxi University, Nanning, 530004, China

    Yun-chuan Yang, Li-ping Liao & Liu-bin Yan

  3. College of Civil engineering and Architecture, Guangxi University, No. 100, Daxue road, Nanning, 530004, Guangxi, China

    Yun-chuan Yang, Li-ping Liao, Liu-bin Yan, Xiao-chuan Hu, Hong-bao Huang & Shuai Xiao

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  1. Yun-chuan Yang
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Yang, Yc., Liao, Lp., Yan, Lb. et al. The big data analysis of land use evolution and its ecological security responses in Silver Beach of China by the clustering of spatial patterns. Cluster Comput 19, 1907–1924 (2016). https://doi.org/10.1007/s10586-016-0659-5

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