西北干旱区土壤有机质空间分异及影响因素以昌吉州为例

Spatial Variation of Soil Organic Matter in Typical Arid Zones and Its Driving Factors—A Case Study of Changji Prefecture

  • 摘要:
    目的 探究西北干旱区土壤剖面有机质空间分布特征及其影响因素,不仅为干旱区碳汇功能的精准评估和管理提供科学依据,也对全球气候变化背景下生态系统的可持续发展和碳中和战略实施具有重要示范意义。
    方法 该研究以新疆昌吉回族自治州为研究区,基于其完整的山地垂直带谱特征,通过系统采集210个土壤剖面发生层样品,根据加权平均划分为五个土层(0 ~ 20 cm、20 ~ 40 cm、40 ~ 60 cm、60 ~ 80 cm和80 ~ 100 cm),探索不同土层深度有机质变化特征以及不同土地利用类型下土壤有机质垂直分异,并分析表层(0 ~ 40 cm)和深层(40 ~ 100 cm)土壤有机质空间分布特征;采用随机森林及结构方程等方法,结合地形、气候、植被、干旱指数、土壤属性和人类活动六类驱动因子进行影响因素分析。
    结果 从土层深度上,土壤有机质呈现显著的递减趋势,0 ~ 20 cm土层均值达17.93 g kg−1,而80 ~ 100 cm土层降至8.01 g kg−1,变化率达44.7%,且各土层均表现出强空间变异性。从水平空间上,研究区土壤有机质呈现出南部山区高,中部平原和西北部沙漠低的空间格局,其中高海拔地带呈条带状分布,中部过渡区为斑块-条带镶嵌格局。对于影响因素的研究表明,在表层土壤中,土壤容重和高程的调控作用更为显著;在深层土壤中,高程和降水的调控作用更为显著,地形因子是表层和深层有机质空间分布的主导影响因素。
    结论 结合不同土地利用类型结果表明,人为耕作、灌溉等在一定程度提升了土壤有机质,但自然因素仍是西北干旱区土壤有机质的主要调控因素。本研究为干旱区土壤碳库精准管理、退化生态系统修复以及气候变化适应性策略制定提供了重要的数据支撑。

     

    Abstract:
    Objective This study aimed to explore the spatial distribution characteristics of soil organic matter (SOM) in soil profiles and its driving factors, which will provide a scientific basis for the precise assessment and management of carbon sink functions in arid regions, and has significant demonstration significance for the sustainable development of ecosystems and the implementation of carbon neutrality strategies under the background of global climate change.
    Method This study took the Hui Autonomous Prefecture of Changji in Xinjiang as the research area. Based on its complete vertical zonation of mountainous areas, the samples were systematically collected from 210 soil profiles. These samples were divided into five soil layers (0 - 20 cm, 20 - 40 cm, 40 - 60 cm, 60 - 80 cm, and 80 - 100 cm) by weighted average. The variation characteristics of SOM at different soil depths and the vertical differentiation under different land use types were explored. And the spatial distribution characteristics of SOM in the surface layer (0 - 40 cm) and deep layer (40 - 100 cm) were investigated. Random forest and structural equation methods were used to analyze the influencing factors by combining with six types of driving factors including topography, climate, vegetation, drought index, soil properties, and human activities.
    Result From the perspective of soil depth, SOM showed a significant decreasing trend. The average value of the 0 - 20 cm soil layer was 17.93 g kg−1, while that of the 80 - 100 cm soil layer dropped to 8.01 g kg−1, with a change rate of 44.7%. All soil layers exhibited strong spatial variability. Horizontally, SOM in the study area presented a spatial pattern of high values in the southern mountainous area, and low values in the central plain and the northwest desert. High-altitude areas were distributed in a band-like pattern, while the central transition zone showed a mosaic pattern of patches and bands. The study of driving factors indicated that soil bulk density and elevation in the surface soil had more significant regulatory effects. In the deep soil, elevation and precipitation had more significant regulatory effects. Topographic factors were the dominant driving factors for the spatial distribution of SOM in both the surface and deep layers.
    Conclusion The results combined with different land use types indicated that human activities such as farming and irrigation had improved SOM to a certain extent, but natural factors remained the main regulatory factors of SOM. These results provided important data to support the precise managements of soil carbon pools, the restoration of degraded ecosystems, and the formulation of climate change adaptation strategies in arid regions.

     

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