Northern Rocky Mountain Science Center (NOROCK)

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We hope you will enjoy learning about the variety of ecosystems and species we are studying throughout the United States. Our scientists work on diverse issues such as fish and wildlife conservation, invasive species and wildlife disease, energy development, climate and ecosystem change, and much more. Click on Science to begin exploring the places we go and the species and landscapes we study.

EcoLunch

EcoLunch

Upcoming presentations on ecological and biological research, held every other Tuesday starting Fall 2018. 

Diversity in STEM

NOROCK in the News

NOROCK in the News

Click here for the most recent media and news on NOROCK science.

Glacier Photography

News

Date published: July 19, 2018

IGBST Public Notifications and Resources

As part of ongoing efforts required under the 2016 Yellowstone Grizzly Bear Conservation Strategy to monitor the population of grizzly bears in the Yellowstone Ecosystem, the Interagency Grizzly Bear Study Team (IGBST) captures and monitors grizzly bears for research and monitoring purposes. Here you will find capture notifications for the 2018 field season.

Date published: April 11, 2018

NOROCK Scientist Receives USGS Award for Lifetime Achievement in Science Communications

Research Ecologist Dan Fagre is the recipient of the 2017 Eugene M. Shoemaker Award for Lifetime Achievement in Communications

Date published: April 4, 2018

Long-term population dynamics and conservation risk of migratory bull trout in the upper Columbia River Basin

Conservation of migratory and sensitive fish like bull trout will require ecosystem level approaches that target stressors in headwater spawning and rearing habitats as well as critical habitats in rivers and lakes used during juvenile and adult life stages.

Publications

Year Published: 2018

Identifying management-relevant research priorities for responding to disease-associated amphibian declines

A research priority can be defined as a knowledge gap that, if resolved, identifies the optimal course of conservation action. We (a group of geographically distributed and multidisciplinary research scientists) used tools from nominal group theory and decision analysis to collaboratively identify and prioritize information...

Campbell Grant, Evan H.; Adams, Michael J.; Fisher, Robert N.; Grear, Daniel A.; Halstead, Brian J.; Hossack, Blake R.; Muths, Erin L.; Richgels, Katherine L. D.; Russell, Robin E.; Smalling, Kelly; Waddle, J. Hardin; Walls, Susan C.; White, C. LeAnn
Grant, E. H. C., Adams, M. J., Fisher, R. N., Grear, D. A., Halstead, B. J., Hossack, B. R., Muths, E., Richgels, K. L. D., Russell, R. E., Smalling, K. L., Waddle, J. H., Walls, S. C., and White, C. L., 2018, Identifying management-relevant research priorities for responding to disease-associated amphibian declines: Global Ecology and Conservation, v. 16, article e00441, 9 p. https://doi.org/10.1016/j.gecco.2018.e00441

Year Published: 2018

Effects of persistent energy-related brine contamination on amphibian abundance in national wildlife refuge wetlands

To inform sustainable energy development, it is important to understand the ecological effects of historical and current production practices and the persistence of those effects. The Williston Basin is one of North America's largest oil production areas and overlaps the Prairie Pothole Region, an area densely...

Hossack, Blake R.; Smalling, Kelly L.; Anderson, Chauncey W.; Preston, Todd M.; Cozzarelli, Isabelle M.; Honeycutt, R. Ken
Hossack, B. R., K. L. Smalling, C. W. Anderson, T. M. Preston, I. M. Cozzarelli, and R. Ken Honeycutt. 2018. Effects of persistent energy-related brine contamination on amphibian abundance in national wildlife refuge wetlands. Biological Conservation 228:36–43.

Year Published: 2018

Impacts of temporal revisit designs on the power to detect trend with a linear mixed model: An application to long-term monitoring of Sierra Nevada lakes

Long-term ecological monitoring programs often use linear mixed models to estimate trend in an ecological indicator sampled across large landscapes. A linear mixed model is versatile for estimating a linear trend in time as well as components of spatial and temporal variationin the case of unbalanced data structures,...

Starcevich, Leigh Ann H.; Irvine, Kathryn M.; Heard, Andrea M.
Starcevich, LAH, Irvine, KM, Heard, AM. (2018) Impacts of temporal revisit designs on the power to detect trend with a linear mixed model: an application to long-term monitoring of Sierra Nevada lakes. Ecological Indicators 93:847-855.