Jean‐François Arnoldi

In generalized Lotka–Volterra communities, stable coexistence almost always requires overyielding; in four long-term biodiversity experiments, underyielding raised species-loss odds within two observations (pooled odds ratio 2.61).

The paper identifies a simple metric, self-regulation loss (SL), that predicts species stability in ecological communities despite their complexity.

The paper disentangles biodiversity effects on ecosystem functioning by separating impacts on total biomass and effect trait expression using a novel decomposition framework applied to three ecosystem functions in grassland plants.

The paper introduces a dynamic contribution metric to assess species' functional roles in ecosystems, showing that rare species can be crucial due to biotic interactions.

The paper derives an analytical distribution of distances to the edge of species coexistence in Lotka-Volterra models, using interaction matrices and applies it to experimental plant community data.

The paper clarifies that the sublinear growth model does not resolve the species coexistence paradox because it relies on unrealistic assumptions about growth rates at low abundance.

The paper models plant-soil feedbacks and herbivory to show how tannin evolution is driven by soil nitrogen dynamics and mycorrhizal associations in unproductive environments.