Daniel E. Schindler

This paper uses machine learning to classify Chinook salmon by their river of origin using otolith microchemical data, achieving up to 92.5% accuracy.

This study shows that accounting for declining salmon body size in fishery management can reduce conservation risks and increase run sizes by up to 25%.

This study evaluates how marine protected area (MPA) network design affects coral adaptive potential by simulating eco-evolutionary processes under climate change scenarios.