David Mouillot

The paper quantifies global coral reef ecosystem functions using metabolic models and surveys, revealing a continuous functional spectrum influenced by climate and human factors.

This study quantifies the potential increase in sustainable fish yields from rebuilding coral reef fish stocks globally, showing significant food provisioning gains.

The paper develops a multi-modal ResNet model to predict coastal fish occurrences using environmental seascape data, achieving high performance for some species but lower for others.

The paper identifies ecologically connected marine reserve networks and evaluates their socio-economic characteristics, finding that some networks span multiple countries with diverse economic and cultural backgrounds.

This paper uses convolutional neural networks to process eDNA metabarcoding data, achieving faster speeds than OBITools while maintaining comparable accuracy.

The paper investigates how ecological traits influence genetic diversity components in tropical reef fishes, finding that abundance and larval duration affect genetic diversity patterns.