Laura E. Dee

The paper uses Bayesian network models to show that food webs with high maximum trophic level are most vulnerable to coextinctions, outperforming other structural metrics in predicting ecosystem susceptibility.

The paper examines how community-climate disequilibrium affects net primary productivity in rangeland ecosystems, finding that mismatched communities are less productive.

The paper develops a stacked model to predict missing links in food webs using species traits and network structure, showing high accuracy on synthetic and real-world data.

This paper identifies barriers to response diversity research through expert surveys and proposes a coordinated research network to advance the field.

This paper introduces a stacked model to predict missing links in under-sampled plant-pollinator networks using species traits and network topology, showing it can reconstruct networks and identify important features.

This paper demonstrates how ecologists can use causal inference methods from other disciplines to address unobserved confounding in observational data, improving accuracy and power in ecological studies.