Layne Adams, Ph.D.
Population biology and predator/prey relationships of Alaskan large mammals.
Biography
Education
Ph.D. 1996 University of Minnesota, St. Paul, MN Wildlife Conservation
M.S. 1981 Colorado State University, Ft. Collins, CO Wildlife Biology
B.S. 1976 Colorado State University, Ft. Collins, CO Wildlife Biology
Professional Experience
1993 - Present Research Wildlife Biologist USGS, Alaska Science Center, Anchorage, Alaska
1985 - 1993 Regional Research Wildlife Biologist, US National Park Service, Anchorage, Alaska
1980 - 1985 Wildlife Management Biologist, Bureau of Land Management, Fairbanks, Alaska
Professional Activities and/or Memberships
IUCN Species Survival Commission, Wolf Specialist Group (2001-2013)
The Wildlife Society
Arctic Institute of North America
American Society of Mammalogists
Science and Products
Identification of landscape features influencing gene flow: How useful are habitat selection models?
Understanding how dispersal patterns are influenced by landscape heterogeneity is critical for modeling species connectivity. Resource selection function (RSF) models are increasingly used in landscape genetics approaches. However, because the ecological factors that drive habitat selection may be different from those influencing dispersal and...
Roffler, Gretchen H.; Schwartz, Michael K.; Pilgrim, Kristy L.; Talbot, Sandra; Sage, Kevin; Adams, Layne G.; Luikart, Gordon Range expansion of moose in arctic Alaska linked to warming and increased shrub habitat
Twentieth century warming has increased vegetation productivity and shrub cover across northern tundra and treeline regions, but effects on terrestrial wildlife have not been demonstrated on a comparable scale. During this period, Alaskan moose (Alces alces gigas) extended their range from the boreal forest into tundra riparian shrub habitat;...
Tape, Ken D.; Gustine, David D.; Reuss, Roger W.; Adams, Layne G.; Clark, Jason A. Estimating demographic parameters using a combination of known-fate and open N-mixture models
Accurate estimates of demographic parameters are required to infer appropriate ecological relationships and inform management actions. Known-fate data from marked individuals are commonly used to estimate survival rates, whereas N-mixture models use count data from unmarked individuals to estimate multiple demographic parameters. However, a joint...
Schmidt, Joshua H.; Johnson, Devin S.; Lindberg, Mark S.; Adams, Layne G. Environmental and physiological influences to isotopic ratios of N and protein status in a montane ungulate in winter
Winter severity can influence large herbivore populations through a reduction in maternal proteins available for reproduction. Nitrogen (N) isotopes in blood fractions can be used to track the use of body proteins in northern and montane ungulates. We studied 113 adult female caribou for 13 years throughout a series of severe winters that reduced...
Gustine, David D.; Barboza, Perry S.; Adams, Layne G.; Wolf, Nathan B.