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.
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Flattop Mountain Snowpack Data for Water Year 2018
Glacier Repeat Photography Project
NOROCK ScienceNews
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.
A Unified Research Strategy for Disease Management
As wildlife diseases increase globally, an understanding of host-pathogen relationships can elucidate avenues for management and improve conservation efficacy. Amphibians are among the most threatened groups of wildlife, and disease is a major factor in global amphibian declines.
Large-scale Review of Amphibian Species and Community Response to Climate Change
Amphibian species and community richness has been declining in North America and climate change may play a role in these declines. Global climate change has led to a range shift of many wildlife species and thus understanding how these changes in species distribution can be used to predict amphibian community responses that may improve conservation efforts.
Publications
Comparing clustered sampling designs for spatially explicit estimation of population density
Spatially explicit capture–recapture methods do not assume that animals have equal access to sampling devices (e.g., detectors), which allows for gaps in the sampling extent and nonuniform (e.g., clustered) sampling designs. However, the performance (i.e., relative root mean squared error [RRMSE], confidence interval coverage, relative bias and...
Clark, Joseph D. Extreme value-based methods for modeling elk yearly movements
Species range shifts and the spread of diseases are both likely to be driven by extreme movements, but are difficult to statistically model due to their rarity. We propose a statistical approach for characterizing movement kernels that incorporate landscape covariates as well as the potential for heavy-tailed distributions. We used a spliced...
Wijeyakulasuriya, Dhanushi A.; Hanks, Ephraim M.; Shaby, Benjamin A.; Cross, Paul C.
Development of new information to inform fish passage decisions at the Yale and Merwin hydro projects on the Lewis River, Washington—Final report, 2018
The reintroduction of extirpated salmonids to historically occupied areas is becoming increasingly common as a conservation and recovery strategy. Often, reintroductions are implemented after the factors that originally led to species extirpation have been reduced, eliminated, or mitigated. For anadromous Oncorhynchus spp. (Pacific salmon) and O....
Al-Chokhachy, Robert K.; Clark, Christopher L.; Sorel, Mark H.; Beauchamp, David A.