自然资源学报 ›› 2019, Vol. 34 ›› Issue (5): 1066-1078.doi: 10.31497/zrzyxb.20190513

• 资源生态 • 上一篇    下一篇

干旱区县域景观格局变化轨迹识别——以宁夏盐池县为例

程琳琳1, 刘华1(), 刘焱序2()   

  1. 1. 中国矿业大学(北京)地球科学与测绘工程学院,北京 100083
    2. 北京师范大学地理科学学部地表过程与资源生态国家重点实验室,北京 100875
  • 收稿日期:2018-12-07 修回日期:2019-03-05 出版日期:2019-05-28 发布日期:2019-05-28
  • 作者简介:

    作者简介:程琳琳(1977- ),女,山东泰安人,博士,副教授,主要从事土地利用、生态补偿、土地评价等研究。Email: chll@cumtb.edu.cn

  • 基金资助:
    国家自然科学基金项目(41861134038);中国博士后科学基金项目(2018T110066,2017M620029);中央高校基本科研业务费

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

摘要:

细致的景观格局时空刻画可以为格局与过程耦合机制分析奠定坚实的数据基础。以半干旱区县域景观格局变化轨迹识别为目标,基于Landsat影像构建了宁夏盐池县1988-2017年景观格局序列,识别景观组分、构型的演化轨迹。研究表明:(1)盐池县研究时段内植被整体增加,显著增加的景观占比为33.53%;裸土整体减少,显著减少的景观占比为35.78%。(2)四项景观构型指数显示,近年来盐池县景观斑块的边缘复杂程度有所加强,除植被的集聚程度不断增加外,其他景观类型的集聚程度相对稳定。(3)盐池县35.08%的像元发生变化,其中变化1次和2次的像元分别占比54.63%和28.60%,首末变化年份间隔为三年的像元占比12.39%。基于连续年份的半干旱区景观变化轨迹判定,可为生态恢复长期监测提供有力的方法支持。

关键词: 景观格局, 土地覆被, 构型指数, 变化轨迹, 盐池县

Abstract:

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