Water is the key factor limiting the growth of plants in arid and semi-arid regions, which affects the growth of vegetation. The distribution pattern of vegetation also affects soil moisture. The horizontal and vertical patterns of vegetation root distribution affect the spatial structure of soil moisture in each layer. The results of global autocorrelation analysis using soil moisture tester indicated that the spatial distribution of soil moisture content in each layer of the barn grass plaque in Gansu showed certain structural characteristics, and there were significant spatial autocorrelation and spatial agglomeration characteristics.

The soil moisture tester's overall correlation measurement can be used to measure the spatial distribution characteristics of soil moisture content and its degree of influence on the field, so as to reveal the spatial accumulation rules and driving force factors of soil moisture so as to better understand the soil. The spatial structure of water has deepened understanding of the spatial structure of soil moisture and its influence on ecological processes.

In order to further understand the factors that affect the spatial distribution of soil moisture, the soil moisture was used as the dependent variable and the soil moisture characteristics were used as the independent variables to determine the soil moisture linear regression model and space. Autoregressive model, spatial autoregressive model adopts spatial error model.

The soil moisture tester method was used to study the spatial dependence and similarity of soil moisture, to reveal the soil water spatial agglomeration law and the characteristics of the soil water community, and to explore the mutual response between single dominant population community characteristics and soil moisture. In the range of <4m, the soil moisture in each layer showed a significant positive correlation (P<0.05), and the positive spatial autocorrelation scale of soil moisture was 4m.

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