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退耕还林对石灰性紫色土团聚体组成及其稳定性的影响

Effects of the Grain-for-Green project on the composition of calcareous purple soil aggregates and their stability

  • 摘要: 土壤团聚体结构及其稳定性是评估土壤结构和抗侵蚀能力的关键指标,也是评估生态恢复措施效益的重要手段,但现有研究中缺乏针对长期生态修复条件下土壤团聚体稳定性的变化机理研究。因此,为查明川中丘陵石灰性紫色土区退耕还林对耕层土壤团聚体组成及稳定性的影响,该研究选择耕地、退耕25 a样地、退耕50 a样地和林地等4个不同退耕还林年限的样地为研究对象,在坡面上不同位置以分层剖面调查的方法探究不同样地中30 cm耕层土壤的土壤团聚体组成及稳定性的空间分布特征,并利用结构方程模型探究退耕还林影响土壤团聚体稳定性的关键驱动因子。结果表明:1)耕地中不同粒级的土壤机械稳定性团聚体和水稳性团聚体含量沿垂直方向呈均匀分布趋势,而退耕25a样地、退耕50a样地和林地中土壤团聚体组成的剖面分布差异主要体现在>5 mm粒级的土壤机械稳定性团聚体和>2 mm粒级的水稳性团聚体含量中,沿垂直方向则分别呈波动增加和波动减小趋势;此外,各样地>5 mm粒级的机械稳定性团聚体含量在坡中位置达到最大值,而>2 mm粒级的水稳性团聚体含量则较小。2)耕地土壤团聚体稳定性的剖面和坡面分布均呈均匀分布,而退耕25a样地、退耕50a样地和林地的土壤团聚体稳定性则在表层土壤中较高,且退耕50a样地和林地土壤团聚体稳定性在坡中位置显著较低。3)相较于耕地,退耕还林样地可显著增加耕层土壤团聚体稳定性,WR0.25(>0.25 mm水稳性团聚体占比)、WSAR(土壤团聚体稳定率)、MWD(平均重量直径)和GMD(几何平均直径)的增幅分别为33.37~41.59%,33.96~44.64%,23.18~36.02%和49.02~83.77%,且主要通过改善土壤理化性质和土壤团聚体组成而间接实现,间接效应高达0.717,土壤有机质和容重是关键驱动因子。本研究结果可为退耕还林改良土壤结构和质量的效益评估提供系统认识,并为未来退耕还林项目实施与规划提供参考依据。

     

    Abstract: Soil aggregates can store and supply the organic matter in soil. The structure and stability of the soil aggregates are two of the most key indicators in cultivated fields. The soil structure and erosion resistance are then evaluated for the ecological restoration. However, it is still lacking in the underlying mechanisms of the stability of the soil aggregate under long-term ecological restoration. This study aims to identify the effects of the Grain-for-Green project (GFGP) on the composition and stability of the soil aggregates. Four sample plots were selected from the tillage layer of the calcareous purple soil region in the central Sichuan basin, China. The GFGP was then implemented with different years, including the cultivated land (CL), Land with 25 years of GFGP (GFGP25), Land with 25 years of GFGP (GFGP50), and forest land (FL). A survey of the layered profile was conducted on the spatial distribution of the soil aggregate composition in the 30 cm tillage layer of the different lands. The stability of the soil aggregate was characterized by some indicators, such as the percentage proportion of the dry-sieved aggregates larger than 0.25 mm (DR0.25), the percentage proportion of water-stable aggregates larger than 0.25 mm (WR0.25), mean weight diameter (MWD), geometric mean diameter (GMD), percentage of aggregate disruption (PAD), water stable aggregates ratio (WSAR), soil erodibility factor (K) and Fractal Dimension (D). Moreover, the partial least squares path model (PLS-PM) was used to explore the key driving factors of the GFGP on the soil aggregate stability. The results revealed that the trends of the uniform distribution were observed in the tillage profiles for the different grain sizes of the mechanically and water-stable aggregates in the CL. Moreover, the profile distributions of the soil aggregates in the GFGP25, GFGP50, and FL were primarily different in the content of the mechanically stable aggregates of >5 mm and water stable aggregates of >2 mm, thus fluctuating, increasing, and decreasing trends along the vertical direction, respectively. Notably, there was the maximum content of the mechanically stable aggregates of >5 mm in each land at the mid-slope location. While there was a smaller content of the water stable aggregates of >2 mm. Soil aggregate stability shared a relatively uniform distribution in the tillage layer (0–30 cm) within the CL. By contrast, the soil aggregate stability was significantly higher in the surface layer, compared with the subsurface layer in the GFGP25, GFGP50, and FL. Furthermore, the soil aggregate stability on the slope displayed a relatively uniform distribution in the GFGP25. While at the mid-slope position, there was significantly lower soil aggregate stability compared with the rest locations in the CL, GFGP50, and FL, which was primarily attributed to the erosion process. Compared with the CL, the GFGP significantly enhanced the soil aggregate stability in the tillage layer, with the increase in the WR0.25, WSAR, MWD, and GMD ranging from 33.37% to 41.59%, 33.96 to 44.64%, 23.18 to 36.02%, and 49.02 to 83.77%, respectively. The soil physicochemical properties and soil aggregate composition were enhanced with an indirect effect coefficient as high as 0.717. Soil organic matter and bulk density were identified as the key driving factors. Overall, this finding can also provide a strong reference to improve the soil structure and quality in the future implementation and planning of the GFGP.

     

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