JOURNAL OF NATURAL RESOURCES ›› 2017, Vol. 32 ›› Issue (11): 1930-1941.doi: 10.11849/zrzyxb.20161062

• Resource Evaluation • Previous Articles     Next Articles

Spatial Autocorrelation of Soil Moisture and Agricultural Zoning in a Mollisol Tillage Area of Northeast China

GAO Feng-jie1, SHAN Pei-ming1, MA Quan-lai3, HAN Wen-wen1, ZHOU Jun2, JU Tie-nan1, WU Xiao1   

  1. 1. College of Resource and Environment, Northeast Agricultural University, Harbin 150030, China;
    2. Research Academy of Environmental Sciences of Heilongjiang Province, Harbin 150036, China;
    3. Xincun Sub-district Administration Office, Jiang'an District, Wuhan 430012, China
  • Received:2016-09-30 Revised:2017-03-12 Online:2017-11-20 Published:2017-11-20
  • Supported by:
    National Key Research and Development Program, No.2016YFD0201009; National Natural Science Foundation of China, No.41471228; Northeast Agricultural University Youth Project, No.14QC30

Abstract: The paper mainly analyzed the spatial distribution pattern and spatial autocorrelation of surface soil moisture (0-20 cm) in a mollisol tillage area of Northeast China with the Moran index model of global and local spatial autocorrelation indicators. The paper discovered the spatial structure and distribution pattern of surface soil moisture and provided a basis for agricultural zoning and facility allocation. The results show that there is great spatial difference of surface soil moisture with moderate variation in the study area. The spatial variation is mostly caused by random factors such as human activities, tillage practice and so on. The global spatial autocorrelation coefficient is 0.417 7, showing strong positive autocorrelation, and there exists anisotropy of spatial autocorrelation. The local spatial autocorrelation coefficient is 0.374 4, mainly displaying H-H (high-high correlation) and L-L (low-low correlation) clusters, which shows the coexistence pattern of high value agglomeration and low value agglomeration. The H-H agglomerations mainly distribute in the flat area in the northwest of the study area. The H-H area has very good tillage condition and has priority in developing agriculture. When farming in this area, people can take full advantage of the nature to achieve high yield with low cost. The L-L agglomerations mainly distribute in the transition zone of mountain and plain in the east part of the study area where the surface soil moisture content is low. When farming in this area, people should invest more on agricultural irrigation infrastructure. In a word, this research could serve in allocation of regional water resources and agricultural facilities.

Key words: mollisol tillage area, partitioned management, soil moisture, spatial autocorrelation

CLC Number: 

  • S152.7