The future of ecosystem assessments is automation, collaboration, and artificial intelligence
Carmen Galaz García, Kenneth J. Bagstad, Julien Brun, Rebecca Chaplin‐Kramer, Trevor Dhu, Nicholas Murray, Connor Nolan, Taylor H. Ricketts, Heidi M. Sosik, Daniel Sousa, Geoff Willard, Benjamin S. Halpern
Abstract
Abstract Robust and routine ecosystem assessments will be fundamental to track progress towards achieving this decade’s global environmental and sustainability goals. Here we examine four needs that address common failure points of ecosystem assessments. These are (1) developing rapid, reproducible, and repeatable ecological data workflows, (2) harmonizing in situ and remotely sensed data, (3) integrating socioeconomic and biophysical data, and (4) increasing access to the digital resources and cyberinfrastructure needed to perform assessments. These four needs have profound potential to help us achieve our environmental objectives through cross-sector collaborations that leverage advancements in digital resources, remote data streams, and data science.