JOURNAL OF NATURAL RESOURCES ›› 2019, Vol. 34 ›› Issue (5): 1066-1078.doi: 10.31497/zrzyxb.20190513

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Track the county level landscape pattern change in semiarid region: A case study in Yanchi county, Ningxia, Northwest China

Lin-lin CHENG1(), Hua LIU1, Yan-xu LIU2()   

  1. 1. Institute of Land Reclamation and Ecological Restoration, China University of Mining and Technology (Beijing), Beijing 100083, China
    2. State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  • Received:2018-12-07 Revised:2019-03-05 Online:2019-05-28 Published:2019-05-28


The detailed spatiotemporal dynamic description of landscape pattern can lay a solid foundation for the data analysis of the coupling mechanism between landscape pattern and ecological process. The current analysis of landscape pattern is in urgent need of developing from the description of static pattern to the quantification of dynamic pattern, so as to link the landscape pattern and ecological process more precisely in detailed time scale. In this study, we regard the change of landscape pattern tracking in the semi-arid region of China as the scientific objective. As the Landsat time series data can capture the detailed information of land use/cover, we constructed the landscape pattern sequence of Yanchi county from 1988 to 2017, defined the rule of landscape pattern change, and explicated the evolution of landscape compositions and configurations based on the Landsat time series remote images in this study. The results show that: (1) Landscape experienced a significant increase of 33.53% in vegetation during the research period, and a significant decrease of 35.78% in bare soil; (2) The four landscape configuration indexes showed that the edge complexity of the landscape patches has been strengthened in recent years, and the agglomeration degree of other landscape types is relatively stable except for the increasing agglomeration degree of vegetation; (3) 35.08% of he pixel changed, among which the pixel changes once or twice accounted for 54.63% and 28.60%, respectively, and the pixel with a three-year interval between the first and last changes accounted for 12.39%. The determination of landscape change trajectories in the semi-arid region over continuous years can improve a powerful support for the long-term monitoring of ecological restoration.

Key words: landscape pattern, land cover, configuration index, change trajectory, Yanchi county