Land Use,Soil Landscape Heterogeneity And The Spatial Non-Stationarity Of The Relationship Between Related Factors

Land has a significant impact on the natural environment and human development,and is one of the basic resources for human life and development,so it is essential for the rational use of land.Land use is the true feedback of human activities and has a great impact on soil.Soil is the material basis for human survival and development.It is closely related to land use.The differences in soil types and soil characteristics vary to a certain extent.Determines the form of land use,and the differentiation of land use forms also indirectly transforms the diversity structure of soil types,characteristics and efficiency.Nowadays,ecological problems between man and nature are increasingly emerging,and the study of the interaction between land use and soil spatial distribution changes and their influencing factors is of great significance.The principles of landscape ecology are used to comprehensively analyze the spatial distribution structure of soil and land use types.The heterogeneity of landscape is the basic feature of landscape,and it is also one of the important contents of landscape ecology research,which can be applied in many fields.For landscape heterogeneity,scale effect research is necessary,and it is common to study landscape heterogeneity at multiple scales in the study of landscape pattern distribution characteristics.Considering the importance of soil and land use,this article discusses the study of land use and soil landscape heterogeneity at different scales.Taking Nanchang City as an example,this paper uses the moving window method to select the radius of the moving window as 500 m,1000 m,1500 m and 2000 m,and select the patch density(PD),separation index(SPLIT),and patch aggregation index(COHESION,landscape shape index(LSI),effective grid area(MESH)are selected as dependent variables,the distance to the main road(DRDS),distance to the city center(DCITY)and slope(SLOPE)are selected as explanatory variables,and geographical weighting is used Regression(GWR)model,through the impact of land use landscape,soil landscape and urbanization on landscape heterogeneity,to study the spatial change of landscape heterogeneity and the relationship between related factors at different scales.The results show:(1)Explain the variables through three curves with characteristic proportions of8000 m.Only when the variable is within the spatial scale of 8000 m,the slope becomes static,and the bandwidth of 8000 m is selected as the characteristic scale for analyzing the landscape heterogeneity changes in the study area.And the DCITY variable has a better fit than other explanatory variables in the range of spatial scale.Compared with the least squares regression(OLS)model,the GWR model shows that the GWR model has a lower AIC value,a higher adjusted R~2 value,and a reduction in space,indicating that the spatial autocorrelation of the same predictor residuals is more low.The GWR model has a higher interpretation rate than the OLS model,indicating that the GWR model can improve the spatial dependence of the residuals of the OLS model and has a better fitting effect.Moreover,Nanchang City has strong spatial agglomeration,but there are variations in local areas,reflecting the non-stationary characteristics of the spatial distribution of land use landscapes and soil landscapes.(2)Under the land use landscape,when the window radius is 1000 m,DCITY and DRDS have a significant positive spatial correlation with LSI,PD,SPLIT,and MESH.Among the different moving window radii,DCITY among the three explanatory variables has the strongest correlation with the landscape heterogeneity index.And the combination of explanatory variables has a stronger correlation with the landscape heterogeneity index.With the continuous increase of the window radius,the correlation between the explanatory variable and the landscape heterogeneity index becomes stronger.As the window radius increases,the growth rate of R~2 decreases.(3)In the soil landscape,under different moving window radii,the effective grid area(MESH)in the landscape heterogeneity index has the highest correlation with the explanatory variable SLOPE.More relevant.When the window radius is 1500 m and the window radius is 1000 m,the correlation between the explanatory variable and the landscape heterogeneity index is similar.When the window radius is 2000 m,the correlation between the explanatory variable and the landscape heterogeneity index is greater than when the window radius is 1500 m.Strong.As the window radius increases,the growth rate of R~2 increases.(4)Land use types and soil landscapes show different degrees of difference.The land use landscape heterogeneity index has the strongest correlation with DCITY,and the soil landscape heterogeneity index has the strongest correlation with SLOPE.With the continuous increase of the window radius,the correlation between the land-use landscape heterogeneity index and the explanatory variable becomes stronger.The correlation between the soil landscape heterogeneity index and the explanatory variable is the strongest when the window radius is 2000 m.With the increase of the window radius,the R~2 growth rate of the land use landscape heterogeneity index is decreasing,and the growth rate of the soil landscape heterogeneity index R~2 is increasing.There is a connection between land use and soil landscape.Among the indicators of landscape heterogeneity,land use landscape and soil landscape have the strongest correlation in patch cohesion(COHESION).Compared with several other landscape heterogeneity indexes,when the window radius is the same,the land-use landscape and the soil landscape have the strongest correlation in the patch combination degree(COHESION).With the continuous increase of the window radius,the correlation between the heterogeneity index of the land use landscape and the soil landscape is strengthening.As the window radius increases,the growth rate of R~2 decreases.