J. P. O'Dwyer

The paper shows that metabolic trade-offs can reverse the expected positive relationship between resource diversity and species diversity in microbial communities.

This paper introduces a mechanism-agnostic method to predict microbial community compositions and functions using sparse representations and compressive sensing, validated on both simulated and experimental data.

The paper analyzes time-series data from microbial communities, tropical forests, and urban populations using a shared stochastic model, revealing similar parameter space occupancy despite different scales.

The paper derives stability criteria for microbial communities based on resource exchange and consumption dynamics, showing that stability depends on resource environment and interaction network structure.

The paper develops a metabolically informed consumer-resource model to better capture species interactions by incorporating coarse-grained metabolism, showing how secondary metabolites can support coexistence and influence species abundances.

The paper shows that non-neutral consumer-resource communities can exhibit neutral-like outcomes, explaining the success of neutral theory in macroecological patterns.

The paper demonstrates that resource exchange reciprocity ensures stability in complex systems, even with strong interactions, while low supply rates or non-reciprocal exchange lead to instability.