内蒙古荒漠草原土壤粒度多重分形特征及其对荒漠化过程的指示意义OACHSSCD

Desertification represents the primary land degradation process in arid and semi-arid regions of Northwest China.Early identification and quantitative assessment have long been constrained by the fact that the traditional fractal parameters can not sufficiently represent the soil nonlinear structural characteristics.While multiple fractal parameters can address this limitation,their applicability to desert-steppe ecosystems remains inadequately investigated.This study employed a multifractal approach to analyze particle size distributions across 448 soil samples from four typical surface sites in Inner Mongolia's desert-steppe,systematically elucidating the stage-indicative significance of parameters such as D1 and D2 for desertification progression.Results demonstrate:surface soil particle sizes exhibit multi-peak distributions,with desert and grasslandified desert areas displaying characteristic bimodal structures.Generalized fractal dimension spectra show an inverted S-shape,while singular spectrum exhibits asymmetric convex patterns.Fractal parameters demonstrate distinct stage-specific dynamic correlations with particle size components-correlations are weak on steppe surfaces(|r|＜0.5).As desertification intensifies,fine particles(0.05-0.08mm)show significantly stronger correlations with D1(r=-0.62)and D2(r=0.60);ultra-fine particles(＜0.05mm)exhibit negative correlation with D1(r=0.24),indicating balanced reconstruction driven by both wind erosion sorting and residual cementation.Multifractal parameters effectively quantify wind erosion-induced soil degradation processes,providing a quantitative basis for assessing degradation severity and identifying developmental stages.