Mark A. Buckner

The paper predicts bee species distribution and diversity in New York State using ecological and environmental data to inform conservation planning.

This paper develops a UAV-based computer vision method to detect ground nesting bee aggregations, achieving high accuracy and efficiency compared to manual counting.

This study uses Joint Species Distribution Models to predict how global change affects bee biodiversity in the Mojave and Sonoran Deserts, showing varying impacts across protected and non-protected areas.