不同混交林配置模式对库布齐沙漠风沙土壤粒度特征的影响OA北大核心

[Objective]By analyzing the effects of different mixed forest patterns on the soil particle characteristics of the Kubuqi Desert,this study provides scientific basis for the efficient and sustainable management of sandy land forests.[Methods]Four representative mixed-forest configuration patterns along the section of the Yellow River in Kubuzi Desert were selected.Soil samples were taken from 0-80 cm soil depth.The laser particle size method was used for the determination of soil particle size and calculation of the mean soil particle size(Mz),sorting coefficient(δ),skewness(SK),kurtosis(KG),and fractal dimensional characteristics.[Results](1)The dominant grain sizes in the study area were fine sand and medium sand.The four different vegetation configuration patterns had a significant refining effect on soil grain size,and the content of clay,silt,and very fine sand increased by 141.37％～415.38％,105.75％～724.73％,and 64.93％～1597.36％,respectively,compared with the control group CK.(2)After the camping of the four vegetation configuration modes,the average grain size of the soil layer at different depths increased significantly,ranging from 2.44％～20.33％.(3)After comparing the grain size parameters of the soil under different configuration modes,it was found that the value of fractal dimension was positively correlated with the value of kurtosis and negatively correlated with the average grain size.[Conclusion]The degree of soil particle size refinement is related to the configuration mode.Different plant configuration modes on soil particle size refinement are mainly concentrated in the surface layer,and the effect of refinement gradually reduces with the increase of soil layer depth.The average particle size of soil layer at different depths increases significantly,the sorting grade of soil particles decreases,and the particle distribution becomes more discrete.The distribution of soil particles shows a gradual tendency to be broad and flat.The soil particles develop toward positive bias.The fractal dimension of soil particles at different depths of soil layer increases significantly(p＜0.05).