新疆表层土壤粒径分形特征及驱动因素分析OA
Fractal characteristics and driving factors of soil particle size in the surface layer of Xinjiang
新疆是中国生态脆弱区和风蚀沙化灾害频发区,其表层土壤颗粒组成关系区域生态稳定.以新疆60个样地、180个样点表层土壤粒径为研究对象,通过干旱指数将采样点分为半干旱、干旱、极端干旱样地,探讨不同干旱梯度下土壤粒径分形特征和环境因子对新疆表土粒径分形特征的影响.结果表明:(1)随着干旱程度的增加,土壤表层颗粒分布逐渐粗化并呈现过渡性特征,半干旱、干旱样地土壤颗粒以粉粒为主,极端干旱样地土壤颗粒以砂粒为主,其中极细砂和细砂占比53.48%.(2)整体粒度特征分选较差,随着干旱程度增加,土壤颗粒的离散程度降低,分布区间更为集中,土壤分形维数集中在1.98~2.47之间.(3)分形维数受黏粒影响较大,与黏粒、粉粒呈显著正相关,与沙粒呈显著负相关,不同干旱梯度样地对分形维数拟合效果为极端干旱>干旱>半干旱.(4)因子探测器表明,年平均降水量(MAP)、年平均气温(MAT)、土壤类型、成土母质等因素对土壤分形维数解释较高.结构方程模型结果表明,本研究所选连续变量因子中,气候因子对新疆表层土壤分形维数影响显著,其中MAP与风速对分形维数为正向影响,MAT对分形维数为负向影响.研究结果可以为区域土壤利用、生态管理提供重要科学依据,进而有利于新疆的水土保持、植被恢复及生态系统稳定性.
Xinjiang,an ecologically fragile region in China that is prone to aeolian desertification,has a surface-soil particle composition that plays a critical role in regional ecosystem stability.This study analyzed the particle composition of surface soils collected from 180 sampling points across 60 plots in Xinjiang,China.Using the aridity index,sampling sites were classified into semi-arid,arid,and hyper-arid plots to examine the fractal char-acteristics of soil particle-size distributions across drought gradients and to assess how environmental factors in-fluence these fractal properties in surface soils.The results demonstrated that(1)With increasing aridity,the sur-face-soil particle-size distribution became progressively coarser and showed clear transitional features.Semi-arid and arid plots were dominated by silt,whereas hyper-arid plots were dominated by sand,with very fine and fine sand together accounting for 53.48%.(2)Overall,the soils exhibited poor sorting.Particle dispersion decreased with increasing aridity,resulting in progressively narrower size distributions,and the fractal dimensions ranged from 1.98 to 2.47.(3)The fractal dimension was strongly influenced by clay content,showing positive correla-tions with clay and silt and a significant negative correlation with sand.Furthermore,the model-fitting perfor-mance of the fractal dimension in plots under different aridity gradients followed the order:hyper-arid>arid>semi-arid.(4)The factor detector results indicated that mean annual precipitation(MAP),mean annual temperature(MAT),soil type,and parent material had strong explanatory power for the soil fractal dimension.Structural equa-tion modeling further showed that,among the continuous variables examined,climatic factors had a significant in-fluence on the surface-soil fractal dimension in Xinjiang.Specifically,MAP and wind speed exerted positive ef-fects,whereas MAT had a negative effect.This research provides a scientific basis for regional soil use and eco-logical management,supporting soil and water conservation,vegetation restoration,and ecosystem stability in Xinjiang.
刘全渝;刘馨璐;李桂真;李从娟
新疆农业大学草业学院,新疆 乌鲁木齐 830052||中国科学院新疆生态与地理研究所,干旱区生态安全与可持续发展全国重点实验室,国家荒漠-绿洲生态建设工程技术研究中心,新疆 乌鲁木齐 830011新疆农业大学草业学院,新疆 乌鲁木齐 830052||中国科学院新疆生态与地理研究所,干旱区生态安全与可持续发展全国重点实验室,国家荒漠-绿洲生态建设工程技术研究中心,新疆 乌鲁木齐 830011新疆农业大学草业学院,新疆 乌鲁木齐 830052中国科学院新疆生态与地理研究所,干旱区生态安全与可持续发展全国重点实验室,国家荒漠-绿洲生态建设工程技术研究中心,新疆 乌鲁木齐 830011
分形维数粒径分布土壤质地驱动因素新疆
fractal dimensionparticle size distributionsoil texturedriving factorsXinjiang
《干旱区地理》 2026 (1)
56-68,13
新疆维吾尔自治区"天山英才"(2022TSYCCX0004,2022TSYCJC0005)新疆维吾尔自治区"天山创新团队"(2024D14014)新疆维吾尔自治区杰出青年基金(2022D01E97)新疆维吾尔自治区重点研发计划(2022B03030)资助
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