Disentangling the effects of driving forces on soil bacterial and fungal communities under shrub encroachment on the Guizhou Plateau of China

Abstract

Global shrub encroachment (SE) affects the structure and function of grassland ecosystem. The effects of SE on plant and soil abiotic properties have been well studied; however, little is known about the extent to which driving forces structure soil microbes under SE, especially in subalpine regions of the Guizhou Plateau of China, which is undergoing progressive SE. We investigated the plant factors (viz, plant diversity and relative shrub cover), soil physicochemical properties, enzymatic activities, and microbial communities, quantified microbial element limitations under three encroachment stages, and disentangled the effects sizes of the factors that structure the diversity and composition of soil microbial communities. Redundancy analysis showed that soil factors made a greater contribution than plant factors to shaping the diversity and composition of the soil bacterial community, soil chemical factors made a greater contribution than physical factors both to structuring the diversity and composition of the soil bacterial community and to structuring the composition of the soil fungal community; and soil nutrient stoichiometry made a greater contribution than soil nutrient content to shaping soil bacterial community's diversity and fungal community's composition. In contrast, soil nutrient content made a greater contribution than soil nutrient stoichiometry to shaping the soil bacterial community's composition. The decrease in bacterial community's diversity observed under SE was attributable to increases in the carbon and nitrogen limitations consequent to SE, and the nitrogen limitation had a greater contribution to the soil bacterial community's diversity and composition than did the carbon limitation. These findings provide updated knowledge of the driving forces shaping the diversity and composition of soil microbial communities, which could be crucial for improving microbial prediction models and revealing the element cycling that occurs in SE biomes.

Keywords: 16S; Enzyme stoichiometry; ITS; Microbial structure; Nutrient stoichiometry; Vector analysis.