2023
DOI: 10.1007/s11104-023-05983-y
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Forest conversion from pure to mixed Cunninghamia lanceolata plantations enhances soil multifunctionality, stochastic processes, and stability of bacterial networks in subtropical southern China

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Cited by 14 publications
(11 citation statements)
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“…Proteobacteria was the key taxa in all litter and soil layers in different planting forests and was highly correlated with organic component decomposition (Pascault et al, 2013). The bacterial key taxa in all forests were Proteobacteria, Actinobacteria, Acidobacteria, Bacteroidetes, Firmicutes, and Candidatus Tectomicrobia, which could drive the litter decomposition and sustain the function of forest ecosystems (Ding et al, 2023). Bacteroidetes and Candidatus Tectomicrobia gradually increased in the MCBP forest, while the proportion of Firmicutes increased in the BP forest.…”
Section: Impact Of Mixed Plantation On Key Microbial Taxamentioning
confidence: 92%
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“…Proteobacteria was the key taxa in all litter and soil layers in different planting forests and was highly correlated with organic component decomposition (Pascault et al, 2013). The bacterial key taxa in all forests were Proteobacteria, Actinobacteria, Acidobacteria, Bacteroidetes, Firmicutes, and Candidatus Tectomicrobia, which could drive the litter decomposition and sustain the function of forest ecosystems (Ding et al, 2023). Bacteroidetes and Candidatus Tectomicrobia gradually increased in the MCBP forest, while the proportion of Firmicutes increased in the BP forest.…”
Section: Impact Of Mixed Plantation On Key Microbial Taxamentioning
confidence: 92%
“…Previous studies have shown that mixed plantation increased plant diversity aboveground, and thus increased bacterial α-diversity and changed bacterial β-diversity (Ding et al, 2023;Vitali et al, 2016). Mixed plantation increased the number of bacterial key species and had more keystone taxa (Figure 4d), indicating that mixed litter increased bacterial dominant species and N metabolic function, which tend to be more stable (Ding et al, 2023). The key microbial taxa in different forests were defined by specificity and occupancy values of 0.7 or higher and network analysis.…”
Section: Impact Of Mixed Plantation On Key Microbial Taxamentioning
confidence: 96%
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