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Summary: Many anthropogenic environmental changes are leading to a rapid decline in soil microbial functional diversity. However, ecological mechanisms that can serve to counteract/resist the diversity loss remain largely underexplored. In particular, although intermediate disturbance and increased amount of effective resources can promote the diversity of higher organisms, the potential role of these factors, and their combination, in maintaining microbial functional diversity is poorly studied. We conducted a 5‐year experiment in a Eurasian steppe, manipulating mowing, nitrogen addition, phosphorus addition and their combinations. Nitrogen addition decreased soil pH by ~0.6 and bacterial abundance by ~19.5%, causing a disturbance effect. Phosphorus addition significantly decreased the effective amount of soil carbon‐, nitrogen‐, phosphorus‐ and water‐relevant resources. Across all nitrogen‐addition treatments subject to intermediate disturbance, there was a significant positive correlation between soil effective resource amount and microbial gene richness (r > 0.6, p < 0.01), which was elevated, in part, due to the increased fungal abundance. In contrast, significant correlations between gene richness and resource amount were not found under low‐disturbance conditions. Overall, gene richness was greatest under conditions of both intermediate disturbance and ample effective resources, suggesting that the two factors could be manipulated in combination for the maintenance of microbial functional diversity. [ABSTRACT FROM AUTHOR]

Soil microbial communities are essential for ecosystem function, but linking community composition to biogeochemical processes is challenging because of high microbial diversity and large spatial variability of most soil characteristics. We investigated soil bacterial community structure in a switchgrass stand planted on soil with a history of grassland vegetation at high spatial resolution to determine whether biogeographic trends occurred at the centimeter scale. Moreover, we tested whether such heterogeneity, if present, influenced community structure within or among ecosystems. Pronounced heterogeneity was observed at centimeter scales, with abrupt changes in relative abundance of phyla from sample to sample. At the ecosystem scale (> 10 m), however, bacterial community composition and structure were subtly, but significantly, altered by fertilization, with higher alpha diversity in fertilized plots. Moreover, by comparing these data with data from 1772 soils from the Earth Microbiome Project, it was found that 20% of bacterial taxa were shared between their site and diverse globally sourced soil samples, while grassland soils shared approximately 40% of their operational taxonomic units with the current study. By spanning several orders of magnitude, the analysis suggested that extreme patchiness characterized community structure at smaller scales but that coherent patterns emerged at larger length scales. [ABSTRACT FROM AUTHOR]

Both 'species fitness difference'-based deterministic processes, such as competitive exclusion and environmental filtering, and 'species fitness difference'-independent stochastic processes, such as birth/death and dispersal/colonization, can influence the assembly of soil microbial communities. However, how both types of processes are mediated by anthropogenic environmental changes has rarely been explored. Here we report a novel and general pattern that almost all anthropogenic environmental changes that took place in a grassland ecosystem affected soil bacterial community assembly primarily through promoting or restraining stochastic processes. We performed four experiments mimicking 16 types of environmental changes and separated the compositional variation of soil bacterial communities caused by each environmental change into deterministic and stochastic components, with a recently developed method. Briefly, because the difference between control and treatment communities is primarily caused by deterministic processes, the deterministic change was quantified as (mean compositional variation between treatment and control) - (mean compositional variation within control). The difference among replicate treatment communities is primarily caused by stochastic processes, so the stochastic change was estimated as (mean compositional variation within treatment) - (mean compositional variation within control). The absolute of the stochastic change was greater than that of the deterministic change across almost all environmental changes, which was robust for both taxonomic and functional-based criterion. Although the deterministic change may become more important as environmental changes last longer, our findings showed that changes usually occurred through mediating stochastic processes over 5 years, challenging the traditional determinism-dominated view. [ABSTRACT FROM AUTHOR]