Mapping distribution of invasive plant species and uncertainty using citizen science, remote sensing, and deep learning
Qiang Xu, Lauren Gillespie, Jia Xi, Dimitrios Gounaridis, Kai Zhu
This study uses deep learning to predict invasive plant species distributions in Michigan, showing improved accuracy over traditional models and highlighting climate scenario uncertainty.
bioRxiv · Jun 12, 2026 · PreprintEcology