ED53B-0857
The NorWeST project: Crowd-sourcing a big data stream temperature database and high-resolution climate scenarios for western rivers and streams

Friday, 18 December 2015
Poster Hall (Moscone South)
Dan Isaak, US Forest Service Boise, Boise, ID, United States, Seth J. Wenger, University of Georgia, River Basin Center - Odum School of Ecology, Athens, GA, United States, Erin Peterson, Queensland University of Technology, Brisbane, Australia, Jay Ver Hoef, National Marine Mammal Lab, Seattle, WA, United States, Charles Luce, USDA Forest Service, Boise, ID, United States and Steve Hostetler, USGS, Corvallis, OR, United States
Abstract:
Climate change is warming streams across the western U.S. and threatens billions of dollars of investments made to conserve valuable cold-water species like trout and salmon. Efficient threat response requires prioritization of limited conservation resources and coordinated interagency efforts guided by accurate information about climate at scales relevant to the distributions of species across landscapes. To provide that information, the NorWeST project was initiated in 2011 to aggregate stream temperature data from all available sources and create high-resolution climate scenarios. The database has since grown into the largest of its kind globally, and now consists of >60,000,000 hourly temperature recordings at >20,000 unique stream sites that were contributed by 100s of professionals working for >95 state, federal, tribal, municipal, county, and private resource agencies. This poster shows a high-resolution (1-kilometer) summer temperature scenario created with these data and mapped to 800,000 kilometers of network across eight western states (ID, WA, OR, MT, WY, UT, NV, CA). The geospatial data associated with this climate scenario and thirty others developed in this project are distributed in user-friendly digital formats through the NorWeST website (http://www.fs.fed.us/rm/boise/AWAE/projects/NorWeST.shtml). The accuracy, utility, and convenience of NorWeST data products has led to their rapid adoption and use by the management and research communities for conservation planning, inter-agency coordination of monitoring networks, and new research on stream temperatures and thermal ecology. A project of this scope and utility was possible only through crowd-sourcing techniques, which have also served to engage data contributors in the process of science creation while strengthening the social networks needed for effective conservation.