东秦岭地区典型恢复植被土壤团聚体稳定性与群落特征的协同演变

Co-evolution of Soil Aggregate Stability and Community Characteristics in Typical Restored Vegetation of the Eastern Qinling Mountains

  • 摘要:
    目的 探究东秦岭地区不同恢复植被类型对土壤结构稳定性的影响,为区域植被恢复和生态治理提供科学依据。
    方法 选取秦岭东段7种典型植被类型(油松、栓皮栎、油松-栓皮栎混交林、侧柏、刺槐、草地和农地)的地块,采用样方法调查了样地植被群落特征。分层采集土样(0 ~ 5 cm、5 ~ 20 cm和20 ~ 40 cm)并测定不同粒径土壤水稳性团聚体组成,通过土壤团聚体稳定性指标(平均质量直径(MWD)、≥ 0.25 mm水稳性团聚体含量(R0.25)、分形维数(D)和团聚体破坏率(PAD))分析不同植被类型土壤团聚体的稳定性。结合植被盖度与植物多样性指数,采用相关性分析方法探讨物种多样性对土壤团聚体稳定性的影响。
    结果 ①东秦岭地区典型恢复林草植被对土壤结构的改善作用明显。油松-栓皮栎混交林在0 ~ 40 cm土层中大粒径团聚体(≥ 1 mm)比例、MWD和R0.25值最高,土壤结构稳定性显著优于单一纯林及农地(P < 0.05)。②土壤团聚体稳定性随土层加深呈下降趋势,林地和草地表层土壤(0 ~ 5 cm)团聚体稳定性最高,混交林与侧柏对深层土壤(20 ~ 40 cm)仍具较好改良作用。③油松和侧柏在物种丰富度、多样性和均匀度方面表现最佳,林地在生物多样性和生态功能恢复方面优于农地。④物种多样性与大粒径团聚体(≥ 1 mm)呈正相关,与小粒径团聚体(< 0.25 mm)呈显著负相关(r = 0.80 ~ 0.72),表明高物种多样性有助于增强土壤结构稳定性。
    结论 东秦岭地区混交林和侧柏林通过高物种多样性显著提升了深层土壤团聚体稳定性,是区域生态恢复的优选植被类型。农地因生物多样性低和耕作干扰导致土壤结构退化,建议在生态治理中优先推广混交林与侧柏等植被模式,以提升土壤质量与生态服务功能。

     

    Abstract:
    Objective This study aimed to investigate the effects of different restored vegetation types on soil structural stability in the Eastern Qinling Mountains, in order to provide a scientific basis for regional vegetation restoration and ecological management.
    Method Seven typical vegetation types (Pinus tabulaeformis Carr., Quercus variabilis Blume, Pinus tabulaeformis-Quercus variabilis mixed forests, Platycladus orientalis (L.) Franco, Robinia pseudoacacia L., grassland and farmland) were selected in the Eastern Qinling Mountains. The vegetation community characteristics of the sample plots were investigated using the quadrat method. Soil samples were collected from three depths (0 - 5 cm, 5 - 20 cm, and 20 - 40 cm), and the composition of water-stable aggregates of different particle sizes was determined. The soil aggregate stability under different vegetation types was evaluated using soil aggregate stability indicators, including mean weight diameter (MWD), content of water-stable aggregates ≥ 0.25 mm (R0.25), fractal dimension (D), and aggregate destruction rate (PAD). Correlation analysis was applied to examine the influence of species diversity on soil aggregate stability in combination with vegetation coverage and plant diversity indices.
    Result ① The typical restored forest and grassland vegetation in the Eastern Qinling Mountains significantly improved soil structure. In the 0 - 40 cm soil layer, the Pinus tabulaeformis-Quercus variabilis mixed forests exhibited the highest proportions of large-sized aggregates (≥ 1 mm), mean weight diameter (MWD), and R0.25 values, with significantly greater soil structure stability compared to monoculture forests and farmland (P < 0.05). ② Soil aggregate stability decreased with increasing soil depth. The highest aggregate stability was observed in the surface layers (0 - 5 cm) of forested and grassland areas. The mixed forests and Platycladus orientalis (L.) Franco maintained a notable positive effect on deep soil layers (20 - 40 cm). ③The Pinus tabulaeformis Carr. and Platycladus orientalis (L.) Franco demonstrated the highest levels of species richness, diversity, and evenness. Forest ecosystems outperform agricultural land in terms of biodiversity conservation and ecological function restoration. ④ Species diversity was positively correlated with large-sized aggregates (≥ 1 mm) and significantly negatively correlated with small-sized aggregates (< 0.25 mm) (r = 0.72 - 0.80), indicating that higher species diversity contributes to enhanced soil structural stability.
    Conclusion The Pinus tabulaeformis-Quercus variabilis mixed forests in the Eastern Qinling Mountains significantly enhanced the deep soil aggregate stability through high species diversity and were the preferred vegetation types for regional ecological restoration. In contrast, farmland suffered from soil structure degradation due to low biodiversity and frequent farming disturbances, leads to soil structure degradation. It is recommended that priority be given to mixed forests and Platycladus orientalis (L.) Franco in ecological management strategies to improve soil quality and enhance ecosystem service functions.

     

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