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May 14, 2026Plants0 citationsOpen Access

Rhizosphere Microbial Effects on Soil Quality of Pinus massoniana and Schima superba Mixed Plantations

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WWWenyue WangWYWei YangWSWenqing Song

Key Points

  • The study aims to analyze the impact of rhizosphere microbes on soil quality in mixed plantations of Pinus massoniana and Schima superba.
  • Investigated the microbial community structure and nutrient cycling processes through metagenomic sequencing.
  • Collected soil samples from pure and mixed plantations for physicochemical and enzyme activity analyses.
  • Employed structural equation modeling to evaluate the interactions between soil properties, microbial communities, and nutrient cycling.
  • Increased nitrate nitrogen content in mixed forests by 121.01% and 120.10% compared to pure plantations (p < 0.05).
  • Urease activity significantly increased by 123.99% and 49.56% in mixed forests compared to pure plantations.
  • Abundance of nitrogen-fixing bacteria and arbuscular mycorrhizal fungi significantly increased in mixed plantations, enhancing nutrient absorption.

Abstract

This study aimed to reveal the rhizosphere microbial community structure, carbon–nitrogen–phosphorus (C-N-P) nutrient cycling processes, and functional gene characteristics of Pinus massoniana and Schima superba in mixed forests. Furthermore, we sought to elucidate the microbial mechanisms by which mixed-species afforestation enhances soil quality improvement, providing a theoretical basis in soil microbiology for the cultivation of these mixed forests. The research subjects included pure P. massoniana plantations (CLPs), pure S. superba plantations (CLSs), and individual P. massoniana (HJP) and S. superba (HJS) trees within mixed plantations (HJLs). We collected rhizosphere and bulk soil samples to analyze their physicochemical properties and enzyme activities. Metagenomic sequencing was employed to profile the rhizosphere microbial communities and functional genes involved in C-N-P cycling. Furthermore, by integrating a functional gene co-occurrence network analysis with structural equation modeling (SEM), we systematically elucidated the coupling relationships among the stand types, soil properties, microbial communities, and nutrient cycling. Mixed planting significantly improved soil quality; compared to the CLP and CLS forests, the nitrate nitrogen (NO3−-N) content in the mixed forest soils increased by 121.01% and 120.10% (p < 0.05), and the activity of urease (URE) also significantly increased by 123.99% and 49.56%, respectively. Mixing significantly altered the microbial community structure. In the bacterial community of the mixed forests, the abundance of nitrogen-fixing and potentially phosphorus-solubilizing bacteria from the genera Paraburkholderia and Burkholderia increased. In the fungal community, the arbuscular mycorrhizal fungus Rhizophagus, which possesses a nutrient absorption advantage, exhibited absolute dominance, with its relative abundance ranging from 14.84% to 88.81%. The abundances of genes associated with denitrification and phosphorus starvation regulation were significantly upregulated in the mixed forests; notably, the abundance of phosphorus starvation regulation genes in the HJSs was 18.84% higher than that in the CLSs. A co-occurrence network analysis demonstrated that the proportion of positive correlation edges in the HJP nitrogen cycling network reached as high as 75.0%, and the average degree of the HJS phosphorus cycling network (2.691) surpassed that of the CLSs. The structural equation modeling further revealed that the association strength between the fungi and phosphorus cycling genes in the mixed forests increased to R2 = 0.915 (p < 0.01) from R2 = 0.213 in the pure forests. This mixed planting practice transforms nutrient cycling from a resource-competitive mode to a microbially synergized mode, thereby forming an efficient endogenous nutrient cycling system. This synergistic rhizosphere microbial effect is a key internal mechanism for overcoming nutrient bottlenecks and should serve as a diagnostic indicator of soil recovery in the ecological restoration of degraded pine forests.

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Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/6a0565f4a550a87e60a1e240https://doi.org/10.3390/plants15101482
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