Dominique Gravel

The paper introduces a framework to identify linkage rules in species interactions by integrating trait-based and neutral models to predict interaction probabilities and efficiencies.

The paper uses synthetic datasets and community tools to test ecological hypotheses and forecasts global stream food web structure, identifying key challenges for reliable macroecological analysis.

The paper adapts network structure measures to account for variability in ecological interactions, providing analytical expressions and case studies with an open-source implementation.

The paper develops a data-intensive methodology to model forest dynamics using high-dimensional inventory data, identifying four key dimensions and predicting short- and long-term changes in forest structure.

The paper introduces a data specification and tools for ecological network analysis to improve data access, standardization, and reproducibility.