Machine learning can help conservationists monitor climate impacts across large swaths of marine ecosystems over extended periods of time, a task never possible before. The Delta Maps machine learning tool provides a new way to assess which reefs might be best-suited for survival and which play a key role in delivering larvae to others, and therefore should be targeted for preservation efforts, according to researchers in a paper published recently in the journal Communications Biology. Two scientists in the School of Earth and Atmospheric Sciences conducted the research: Annalisa Bracco, professor and associate chair, and Lyuba Novi, postdoctoral fellow.