The PLFA profile technique was used to analyse soil microbial community composition under adjacent coniferous Chinese fir (Cunninghamia lanceolata (Lamb) Hook) (12-year old) (designated as 'Fir'), coniferous-broadleaf mixed species of broadleaf NagaiPodocarpus (Nageia nagi (thumb.) O. Ktze) and coniferous Pond cypress (Taxodium ascendens Brongn) (12-year old) (designated as 'Mixed Species') and broadleaf Phoebe Nanmu (Phoebe Bournei (Hemsl.) Yang) (12-year old) (designated as 'Broadleaf Phoebe'). The phospholipid fatty acid (PLFA) profiling analysis showed that amounts of total bacteria in the soils under the Mixed Species were higher than under the Fir and Broadleaf Phoebe, while amounts of fungi in the soils under the Broadleaf Phoebe and Mixed Species were lower than under the Fir. Results from the principal component analysis (PCA) of PLFA data showed that PCI and PC2 explained 44.5% of the variations in the PLFA. Different forest types could be clearly separated along PCs 1 and 2, which weremainly attributed to 14 major PLFAs. The different organic inputs and availability of soil C substrates may be responsible for the discrimination of the soil microbial communities among different forest types.
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