This team brings together three PhD students, one from Forestry and Natural Resources, one from Mathematics, and one from Computer Science and Engineering. Theteamis focused on developing machine learning methods to better decipher community ecologyresearch, and broaden understanding of the interconnectedness of species across the eastern U.S. The outcomes from thisresearchcan be applied for improved forest management decision making, as well as understand the on the ground impacts of climate change on the forest ecosystem.