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,本研究选择耕地、退耕25年样地、退耕50年样地和林地等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25年样地、退耕50年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25年样地、退耕50年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50年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 aggregate structure and stability are key indicators for evaluating soil structure and erosion resistance, and also an important means for assessing the effectiveness of ecological restoration measures. However, existing research lacks studies on the mechanisms underlying changes in soil aggregate stability under long-term ecological restoration conditions. To identify the effects of Grain-for-Green project (GFGP) on the composition and stability of soil aggregates in the tillage layer of the calcareous purple soil region in the central Sichuan basin, China, four sample plots with different years of implementing GFGP, including cultivated land (CL), Land with 25 years of GFGP (GFGP25), Land with 25 years of GFGP (GFGP50), and forest land (FL), were selected in this study. The spatial distribution characteristics of soil aggregate composition in the 30 cm tillage layer in different lands were investigated using a layered profile survey method. The soil aggregate stability was characterized by indicators such as the percentage proportion of 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, partial least squares path model (PLS-PM) was used to explore the key drivers of the effects of GFGP on the soil aggregate stability. The results revealed that uniform distribution trends were observed in the tillage profiles for different grain sizes of mechanically and water stable aggregates in CL. Moreover, the profile distributions of soil aggregates in GFGP25, GFGP50 and FL were primarily different in the content of mechanically stable aggregates of >5 mm and water stable aggregates of >2 mm, which showed fluctuating increasing and decreasing trends along the vertical direction, respectively. Notably, the content of mechanically stable aggregates of >5 mm in each land reached a maximum at the mid-slope location, while the content of water stable aggregates of >2 mm was smaller. Soil aggregate stability within CL showed a relatively uniform distribution throughout the tillage layer (0–30 cm). In contrast, significantly higher soil aggregate stability was observed in the surface layer compared to subsurface layer in GFGP25, GFGP50 and FL. Furthermore, soil aggregate stability on slope displayed a relatively uniform distribution in GFGP25. However, soil aggregate stability was significantly lower at the mid-slope position compared to other locations in CL, GFGP50, and FL, which was primarily attributed to the erosion processes. Compared to cultivated land, GFGP significantly enhanced soil aggregate stability in the tillage layer significantly, with increases in 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. This improvement was primarily indirectly achieved through enhanced soil physicochemical properties and soil aggregate composition, with an indirect effect coefficient as high as 0.717. Soil organic matter and bulk density were identified as key driving factors. Overall, this study provided a systematic understanding of the benefits of GFGP in improving soil structure and quality, and a reference basis for the future implementation and planning of GFGP.

       

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