Lauren Gillespie

This study uses deep learning to predict invasive plant species distributions in Michigan, showing improved accuracy over traditional models and highlighting climate scenario uncertainty.

This paper improves species-habitat modeling by integrating AI-derived multimodal habitat data and interpretable AI features for better conservation planning.