Tabitha Graves, Ph.D.
I answer applied research questions at the intersection of wildlife biology, landscape ecology, and statistics.
Research Interests
My work falls under three broad themes: (1) understand the influence of humans and associated land use impacts on wildlife distributions, densities, and related processes at local and landscape scales, (2) develop new analytical tools that address the influence of landscape features on animals at the sub-population and population scales, and (3) improve efficiency of research and monitoring through optimal study design. I have >15 years experience studying grizzly bears, bighorn sheep, elk, and the development of novel and integrated analyses of habitat use, connectivity, migration, and genetics, all very applied work. I have also assisted with projects studying black bears, wolverines, mountain goats, wolves, lynx, kinkajou, loons, hawks, owls, riparian vegetation, pika, and sugar pine.
Current projects
- Chronic wasting disease- evaluating changes in density and contacts across multiple cervid populations
- Assessing current and changing forage for elk and mule deer with climate change
- Assessing connectivity and migration in and around Glacier National Park (GNP)
- Optimal monitoring of wildlife with occupancy models
- Pollinator communities and Western bumble bee assessment on BLM lands in Montana and the Dakotas, in GNP, and across the west
- Mountain goat and bighorn sheep abundance, trend, population structure, and habitat
- Spatial capture recapture approaches
- Water to Wildlife: Connecting changes in water to vegetation to wildlife across 3 northwest parks
- Evaluating potential impacts of climate change on berry plant abundance and production
Professional Experience
Research Ecologist, USGS Northern Rocky Mountain Science Center: 2/10/14-present
David H. Smith Post-doctoral Conservation Research Fellow: 7/12 – 2/14
Education and Certifications
PhD. 2012. Northern Arizona University. Dissertation Title: Spatial ecology of grizzly bears in northwestern Montana and estimating resistance to gene flow
M.S. Wildlife Biology. 2002. University of Montana
Honors B.A. German Literature with distinction. 1995. University of Wisconsin-Madison
Science and Products
U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2017 annual report
Keeping the crown of the continent connected: An interagency US2 connectivity workshop report
Trade-offs and efficiencies in optimal budget-constrained multispecies corridor networks
Community for Data Integration 2015 annual report
Demographic mechanisms underpinning genetic assimilation of remnant groups of a large carnivore
Density, distribution, and genetic structure of grizzly bears in the Cabinet-Yaak Ecosystem
Nature vs. nurture: Evidence for social learning of conflict behaviour in grizzly bears
Estimating landscape resistance to dispersal
Spatial capture-recapture models for jointly estimating population density and landscape connectivity
Balancing precision and risk: should multiple detection methods be analyzed separately in N-mixture models?
Linking landscape characteristics to local grizzly bear abundance using multiple detection methods in a hierarchical model
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative—2017 annual report
Keeping the crown of the continent connected: An interagency US2 connectivity workshop report
Trade-offs and efficiencies in optimal budget-constrained multispecies corridor networks
Community for Data Integration 2015 annual report
Demographic mechanisms underpinning genetic assimilation of remnant groups of a large carnivore
Density, distribution, and genetic structure of grizzly bears in the Cabinet-Yaak Ecosystem
Nature vs. nurture: Evidence for social learning of conflict behaviour in grizzly bears
Estimating landscape resistance to dispersal
Spatial capture-recapture models for jointly estimating population density and landscape connectivity
Balancing precision and risk: should multiple detection methods be analyzed separately in N-mixture models?
Linking landscape characteristics to local grizzly bear abundance using multiple detection methods in a hierarchical model
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.