Microbial modulators of soil carbon storage: integrating genomic and metabolic knowledge for global prediction

TL;DR: Experimental warming and nitrogen addition had limited impact on soil microbial community assembly in an old-growth subtropical forest, with stochastic processes governing community assembly in all treatments, suggesting microbial resilience to short-term climate changes.

TL;DR: Wang et al. as discussed by the authors investigated variations in the diversity and composition of soil bacterial and archaeal communities between natural and embanked saltmarshes, as well as the determinants that drive these variations.

TL;DR: Researchers developed a microbial model (MEND) using soil enzymes as indicators of soil function, accurately simulating soil CO2 fluxes, N variables, and microbial C:N ratios in a 12-year grassland experiment, providing a basis for testing hypotheses about microbially-mediated biogeochemical processes.

TL;DR: This work has suggested that several environmental constraints obscure the intrinsic temperature sensitivity of substrate decomposition, causing lower observed ‘apparent’ temperature sensitivity, and these constraints may, themselves, be sensitive to climate.

TL;DR: In this article, a new generation of experiments and soil carbon models were proposed to predict the SOM response to global warming, and they showed that molecular structure alone alone does not control SOM stability.

TL;DR: Survey, experimental, and meta-analytical results suggest that certain bacterial phyla can be differentiated into copiotrophic and oligotrophic categories that correspond to the r- and K-selected categories used to describe the ecological attributes of plants and animals.

TL;DR: Soils collected across a long-term liming experiment were used to investigate the direct influence of pH on the abundance and composition of the two major soil microbial taxa, fungi and bacteria, and both the relative abundance and diversity of bacteria were positively related to pH.