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Variation in soil microbial communities across a boreal spruce forest landscape

机译:北方云杉林景观中土壤微生物群落的变化

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We investigated soil microbial community structure by phospholipid fatty acid (PLFA) analysis in a mature boreal spruce forest landscape in southern Norway, with low diversity of vascular plants. We investigated the spatial variation in PLFAs and the importance of environmental variables in 10 plots (each 13 samples) in a study area of 1 km x 1 km. The scales investigated were 15 cm to 10 m within study plots and 100 m to 1 km between study plots. Soil microbial biomass varied 10-fold and we found a large variation in microbial community structure, even at distances of 15 cm. Samples aggregated into plots when PLFAs were subjected to a principal components analysis. Plot identity explained 36.3% of the variation in the PLFAs and geostatistical analysis showed that the microbial community structure displayed spatial dependence at within-plot distances. Environmental variables differed significantly between all plots but explained only minor parts of the variation in the overall PLFA pattern. The vegetation variables were, however, the best at explaining the PLFA pattern, and up to 60% of within-plot variation in individual plots, respectively, could be explained by vegetation variables, pH, and soil depth.
机译:我们通过磷脂脂肪酸(PLFA)分析调查了挪威南部成熟的北方云杉森林景观中维管植物多样性低的土壤微生物群落结构。在1 km x 1 km的研究区域中,我们调查了10个样地(每个13个样本)中PLFA的空间变化和环境变量的重要性。研究地块在研究地块内为15 cm至10 m,在研究地块之间为100 m至1 km。土壤微生物的生物量变化了10倍,我们发现即使在15 cm的距离上,微生物群落结构也有很大变化。当对PLFA进行主成分分析时,样品聚集到样地中。地块身份解释了PLFA变异的36.3%,地统计学分析表明,微生物群落结构在地块内距离处显示出空间依赖性。所有地块之间的环境变量差异很大,但仅解释了整体PLFA模式变化的一小部分。然而,植被变量最能解释PLFA模式,而在单个样地中,多达60%的样地内变化可以用植被变量,pH和土壤深度来解释。

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