JOURNAL OF NATURAL RESOURCES ›› 2015, Vol. 30 ›› Issue (11): 1860-1871.doi: 10.11849/zrzyxb.2015.11.007

• Resource Ecology • Previous Articles     Next Articles

Landscape Pattern in Da’an City of Jilin Province Based on Landscape Indices and Local Spatial Autocorrelation Analysis

DONG Yu-hong1, LIU Shi-liang2a, *, AN Nan-nan2a, YIN Yi-jie2a, WANG Jun3, QIU Yang2b   

  1. 1. Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China;
    2. a. School of Environment,b. School of Geography, Beijing Normal University, Beijing 100875, China;
    3. Key Laboratory of Land Consolidation of Land and Resources Ministry, Beijing 100812, China
  • Received:2014-09-15 Revised:2015-06-08 Online:2015-11-14 Published:2015-11-14


As one of the typical salinization regions in the western Jilin Province, Da’an city was taken as the study area. Based on remote sensing data and enhanced vegetation index (EVI) data in 2000 and 2010 and by using moving window method and local spatial autocorrelation analysis, the landscape pattern of Da’an city was analyzed. The results showed that the dominant landscape types in this region were farmland, grassland and saline land. The proportion of farmland, grassland and saline land were 40.20%, 19.09% and 19.26% in 2000, respectively, and 41.69%, 18.16% and 19.94% in 2010, respectively. From 2000 to 2010, the area of farmland and saline land increased, LPI increased and the shape become complex, and landscape connectivity of saline land increased. The area of grassland decreased, LPI decreased and the shape become complex. The spatial heterogeneity of landscape pattern in Da’an city was significant. The area with the dominant landscape types including the grassland, farmland and saline land, showed higher landscape connectivity, lower fragmentation and heterogeneity, while the area with various landscape types showed higher fragmentation and stronger heterogeneity. The local spatial auto-correlation of EVI in 2000 and 2010 were 0.73 and 0.75 respectively, indicating a significant spatial correlation. In the two periods, the high-high self-related areas are mostly farmland, where vegetation cover are excellent, and the low-low self-related areas are mostly saline land with lower vegetation cover in these areas. Moran’s I of Da’an city showed negative correlation with PD and LSI, and positive correlation with LPI and CONTAG. The moving window method combined with spatial autocorrelation analysis method will contribute to the understanding of spatial variation of landscape pattern and spatial aggregation of vegetation cover, thus providing the basis for ecological environment protection.

CLC Number: 

  • TP79:P901