Matthias C. Rillig

The paper measures root-hair traits and mycorrhizal colonization in 82 grassland species, finding a phylogenetic trade-off between root hairs and mycorrhiza.

This study examines the combined effects of multiple global change perturbations on grassland ecosystems, finding that most combinations have negative impacts, with drought being a dominant factor.

The paper examines how different landscape elements respond to global change factors, finding divergent responses and highlighting the need for landscape-specific management strategies.

This study constructs the first quantitative morphospace of AM fungal spores, revealing that spore morphology evolves mainly through scaling rather than redesign.

This study shows that adaptive changes in E. coli under resource limitation reduce persistence in co-cultures with Chlamydomonas reinhardtii under spatially heterogeneous conditions.

This study examines how microplastic concentrations affect soil multifunctionality, finding nonlinear responses and thresholds in physical properties that signal ecological disruption.

This study compares the effects of abrupt versus gradual pesticide applications on soil microbial communities, finding that fungal communities are more responsive and show increased evenness with gradual exposure.

The paper investigates carbon use abilities in soil fungi to predict community functions, finding that carbon use ability is a better predictor than enzymatic activity.

This study examines how multiple global change factors affect soil microbial communities using metagenomics, finding that combined factors select for distinct microbial communities and functional traits not seen with individual factors.

The paper shows that diverse crop rotations reduce yield-scaled nitrogen losses through denitrification by improving microbial biomass and functional guilds involved in nitrogen cycling.

The paper analyzes plant-arbuscular mycorrhizal fungal networks using maximum entropy models and finds they are anti-nested and modular across different habitats and scales.

The paper predicts plant health using spatiotemporal changes in soil properties with 84% accuracy across multiple climates and cropping systems.

This study investigates how spatial structure and heterogeneity affect the persistence of closed microbial ecosystems, finding that substrate particle size and necromass distribution significantly influence system stability.

The paper refines conversion factors for fungal biomarkers and evaluates qPCR as a method for estimating fungal biomass in soil, finding qPCR has less phylogenetic bias than other biomarkers.

The paper investigates environmental factors shaping cercozoan protist communities in a temperate grassland, finding moisture and clay content as key drivers with spatial and seasonal patterns.