Consistent predictors of microbial community composition across spatial scales in grasslands reveal low context-dependency

Environmental circumstances shaping soil microbial communities have been studied extensively. However, due to disparate study designs, it has been difficult to resolve whether a globally consistent set of predictors exists, or context-dependency prevails. Here, we used a network of 18 grassland sites (11 of those containing regional plant productivity gradients) to examine i) if similar abiotic or biotic factors predict both large-scale (across sites) and regional-scale (within sites) patterns in bacterial and fungal community composition, and ii) if microbial community composition differs consistently at two levels of regional plant productivity (low vs high). We found that bacteria were consistently associated with certain soil properties and both bacteria and fungi were consistently associated with plant community composition within different sites. Moreover, there was a microbial community signal that clearly distinguished high and low-productivity soils that was shared across diffe..., Data were collected from 18 Herbaceous Diversity Network (HerbDivNet) grassland sites located in 12 countries. Each of the 18 sites contained between two and six 8 × 8 m plots: 11 sites contained six plots, one site contained four plots, one site three plots and five sites contained two plots; giving a total of 83 plots. Most sites were chosen to represent a site-specific gradient in productivity based on their plant biomass production; with six plots (two replicates of low, medium and high productivity) located within the same region with little to no variation in climatic conditions. However, some sites contained fewer plots and did not show a prominent productivity gradient. A clear gradient in biomass production was captured in 11 sites. For each plot within a site, five soil subsamples to a depth of 10 cm were taken from four corners and the centre of the plot. Subsamples for microbial analyses were analysed separately, and soil properties were analysed from one composite sample pe..., , # Consistent predictors of microbial community composition across spatial scales in grasslands reveal low context-dependency

Summary of methods:
Data were collected from 18 Herbaceous Diversity Network (HerbDivNet) grassland sites located in 12 countries.
Each of the 18 sites contained between two and six 8 × 8 m plots: 11 sites contained six plots, one site contained four plots, one site three plots and five sites contained two plots; giving a total of 83 plots.
Most sites were chosen to represent a site-specific gradient in productivity based on their plant biomass production;
A clear gradient in biomass production (low vs. high) was captured in 11 sites.
For each plot within a site, five soil subsamples to a depth of 10 cm were taken from four corners and the centre of the plot.
Subsamples for microbial analyses were analysed separately (83 x 5), and soil properties were analysed from one composite sample per plot (n = 83).

The dataset includes the following files:

1. otu\_b.txt ...