Northern Rocky Mountain Science Center (NOROCK)


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.



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

Ecological Drought

NOROCK in the News

NOROCK in the News

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

Adapting to Change


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.


Year Published: 2018

The ecology of movement and behaviour: a saturated tripartite network for describing animal contacts

Ecologists regularly use animal contact networks to describe interactions underlying pathogen transmission, gene flow, and information transfer. However, empirical descriptions of contact often overlook some features of individual movement, and decisions about what kind of network to use in a particular setting are commonly ad hoc. Here, we...

Manlove, Kezia R.; Aiello, Christina M.; Sah, Pratha; Cummins, Bree; Hudson, Peter J.; Cross, Paul C.
Manlove, K., Aiello, C.M., Sah, P., Cummins, B., Hudson, P.J. & Cross, P.C. (2018). The ecology of movement and behavior: A saturated tripartite model for describing animal contacts. Proceedings of the Royal Society B: Biological Sciences, 285: 20180670

Year Published: 2018

Tradeoffs of a portable, field-based environmental DNA platform for detecting invasive northern pike (Esox lucius) in Alaska

Environmental DNA (eDNA) has improved detection probabilities of aquatic invasive species but lab-based analyticalplatforms for eDNA analyses slow opportunities for rapid response. Effective approaches that address this analyticalbottleneck and improve capacity for rapid response are urgently needed. We tested the sensitivity of a portable, field-...

Sepulveda, Adam J.; Hutchins, Patrick R.; Massengill, Robert L.; Dunker, Kristine J.

Year Published: 2018

Estimating distemper virus dynamics among wolves and grizzly bears using serology and Bayesian state‐space models

Many parasites infect multiple hosts, but estimating the transmission across host species remains a key challenge in disease ecology. We investigated the within and across host species dynamics of canine distemper virus (CDV) in grizzly bears (Ursus arctos) and wolves (Canis lupus) of the Greater Yellowstone Ecosystem (GYE). We hypothesized that...

Cross, Paul C.; van Manen, Frank T.; Viana, Mafalda; Almberg, Emily S.; Bachen, Daniel; Brandell, Ellen E.; Haroldson, Mark A.; Hudson, Peter J.; Stahler, Daniel R.; Smith, Douglas W.
Cross, P. C., F. T. Van Manen, M. Viana, E. S. Almberg, D. Bachen, E. Brandell, M. A. Haroldson, P. J. Hudson, D. R. Stahler, and D. W. Smith. 2018. Estimating distemper virus dynamics among wolves and grizzly bears using serology and Bayesian state-space models. Ecology and Evolution 00:000-000.