Session: Big Data In Ecology - Methods and Tools 6 (2020 ESA Annual Meeting (August 3

COS 109-

Multinational participant data drive modeling and best management practices for non-native Phragmites australis
Kurt Kowalski, U.S. Geological Survey; Samantha Tank, Great Lakes Commission

COS 109-

Prickly prospects for cacti under climate change: An analysis of uncertainty in range forecasts
Michiel Pillet, University of Arizona; Brian Enquist, The Santa Fe Institute; Xiao Feng, Florida State University/University of Arizona; Barbara Goettsch, IUCN SSC Cactus and Succulent Plants Specialist Group; Brian S. Maitner, University of Arizona; Cory Merow, University of Connecticut

COS 109-

spaceNtime: A free R package to estimate abundance of unmarked animals from remote cameras
Anna Moeller, University of Montana; Paul M. Lukacs, University of Montana; J. Joshua Nowak, SpeedGoat

COS 109-

Partitioning spatio-temporal variability in forecasts of the soil microbiome
Zoey R. Werbin, Boston University; Colin Averill, ETH Zürich; Michael C. Dietze, Boston University; Jennifer M. Bhatnagar, Boston University

COS 109-

Free, open-source machine learning classifiers for acoustic recognition of 500 common North American bird species
Tessa Rhinehart, University of Pittsburgh; Samuel Lapp, University of Pittsburgh; Barry E. Moore II, University of Pittsburgh; Justin A. Kitzes, University of Pittsburgh

COS 109-

Quantifying 'green wave' velocity across North America using MODIS satellite imagery
Donal S. O'Leary III, University of Maryland; David W. Inouye, Rocky Mountain Biological Laboratory, University of Maryland; Ralph Dubayah, University of Maryland; Chengquan Huang, University of Maryland; George C. Hurtt, University of Maryland

COS 109 - Big Data In Ecology - Methods and Tools 6