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Spatially disordered environments stabilize competitive metacommunities
Metapopulation models have been instrumental in demonstrating the ecological impact of landscape structure on the survival of a focal species in complex environments.
Soft trade-offs and the stochastic emergence of diversification in E. coli evolution experiments
This introduces a natural new source of stochasticity which allows one to account for the empirically observed variability as well as to make predictions for the likelihood of evolutionary branching to be observed, thus helping to bridge the gap between theory and experiments.
Generalized Lotka-Volterra Systems with Time Correlated Stochastic Interactions
In this work, we explore the dynamics of species abundances within ecological communities using the Generalized Lotka-Volterra (GLV) model.
Large system population dynamics with non-Gaussian interactions
Our results show that the generalized mean field equations have solutions which depend on all cumulants of the distribution of species interactions, leading to a breakdown of universality.
Effect of delay on the emergent stability patterns in Generalized Lotka-Volterra ecological dynamics
Finally, we introduce a measure of stability that holds for out of equilibrium dynamics and we show that in the oscillatory regime induced by the delay stability increases for increasing ecosystem diversity.
Effective Resource-Competition Model for Species Coexistence
Finally, we analytically compute the distribution of the population sizes of coexisting species.
