INS 17-8 - Building an ecological forecasting community of practice

Friday, August 16, 2019
M108, Kentucky International Convention Center
Michael C. Dietze, Earth and Environment, Boston University, Boston, MA, Peter Adler, Department of Wildland Resources and the Ecology Center, Utah State University, Logan, UT, Cayelan Carey, Biological Sciences, Virginia Tech, Blacksburg, VA, Melissa Kenney, Earth System Science Interdisciplinary Center/Cooperative Institute for Climate and Satellites-Maryland, University of Maryland, College Park, MD, Andrew M. Fox, School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, Anthony Janetos, Pardee Center for the Longer-range Future, Boston University, Boston, MA, Leah Johnson, Statistics, Virginia Tech, Blacksburg, VA, Christine Laney, Data Science, Battelle, National Ecological Observatory Network (NEON), Boulder, CO, Heather J. Lynch, Department of Ecology & Evolution, Stony Brook University, Stony Brook, NY, Jason McLachlan, Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, Jody A. Peters, Biological Sciences, University of Notre Dame, Notre Dame, IN, Quinn Thomas, Forest Resources and Environmental Conservation, Virginia Tech, Blacksburg, VA, Jake F. Weltzin, National Coordinating Office, USA National Phenology Network, Tucson, AZ and Ethan P. White, Wildlife Ecology and Conservation, University of Florida
Near-term iterative ecological forecasting an emerging win-win for accelerating ecological research while making our science more directly relevant to society. However, ecological forecasting efforts span a wide range of subdisciplines that are often unaware of each other. In 2018 we launched the Ecological Forecasting Initiative (EFI), an international grassroots consortium aimed at developing an iterative forecasting community of practice. Our mission is to solve the challenge of predicting nature. In this talk we briefly discuss EFI’s six cross-cutting themes (theory and synthesis, education, cyberinfrastructure, methods, knowledge transfer, and decision science) and how we are working to bring the community together.