Ismaël Lajaaiti

This study compares structural properties of ecological networks globally, showing degree distribution explains network structure better than connectance, with environmental factors affecting food webs more than other interaction types.

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

This paper shows that graph neural networks with a new pooling method can accurately estimate diversification parameters in complex models where likelihoods are intractable.

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 introduces a Julia package for simulating temporal dynamics of ecological networks with diverse interaction types and environmental drivers.

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.