Skip to main content

Frank T van Manen

thumbnail
We investigated the dynamics of canine distemper virus (CDV) in grizzly bears (Ursus arctos) and wolves (Canis lupus) of the Greater Yellowstone Ecosystem (GYE) using serological data collected from 1984 to 2014. 565 sera samples were obtained from 425 unique grizzly bears (134 females and 291 males) from 1984 to 2014 and 319 sera samples were obtained from 285 unique wolves (130 females and 155 males) from 1996 to 2014. Here we provide the unique identifier for each individual, the species and sex, the date the individual was captured, the estimated birth year and age, and the CDV antibody titer results based upon serum neutralization assays.
thumbnail
Informing Management Options for grizzly bears in a Changing Greater Yellowstone Ecosystem
Project Overview The iconic grizzly bear of the Greater Yellowstone Ecosystem has exhibited a remarkable recovery in response to concerted conservation actions implemented since its listing as threatened under the Endangered Species Act in 1975. However, information regarding the potential effects and timing of climate change in conjunction with increasing human recreation and development will be important for future management of this population. Investigating these potential impacts and providing manager with a range of actionable options to mitigate their effects is the goal of this study. Researchers supported by this North Central project will use grizzly bear demographic and climate data to collaboratively...
thumbnail
The Randomized Shortest Path (RSP) raster delineates potential dispersal paths for male-mediated gene flow between grizzly bear (Ursus arctos) populations in the Greater Yellowstone Ecosystem (GYE) and the Northern Continental Divide Ecosystem (NCDE). A RSP algorithm was used to estimate the average number of net passages for all grid cells at a spatial resolution of 300 m in the study region which spans parts of Montana, Idaho, and Wyoming. RSP rasters identify potential movement paths for 3 levels of random deviation determined by the parameter Θ (i.e., Θ = 0.01, 0.001, and 0.0001) for bears moving from an origin to a destination node. Lower values of Θ result in greater exploration and more random deviation around...
thumbnail
The Effects of Climate Variability and Change on Human-Bear Interactions in North America
Negative human-bear interactions are a common problem and management priority for many wildlife agencies in North America. Bears are adaptable to anthropogenic activity and food sources which creates opportunities for conflict with humans, including property damage, livestock depredation, and in severe cases, human injury. Acute climate events and long-term directional climate change can exacerbate the frequency and severity of human-bear interactions by changing resource availability, increasing overlap between humans and wildlife, and driving competition. Despite the pervasive threat that climate change poses, studies evaluating climate, human-wildlife interactions, and adaptive management strategies are limited....
thumbnail
The Grizzly Bear Recovery Zone (GBRZ) for the Greater Yellowstone Ecosystem (GYE) delineates the area inside the GYE where demographic and habitat criteria were applied, monitored, and evaluated to achieve recovered status of the Yellowstone grizzly bear population. The GBRZ was established by the U.S. Fish and Wildlife Service (USFWS) in 1993 as part of the Recovery Plan for grizzly bears in the lower 48 conterminous United States. The recovery zone boundary identifies the known distribution of bears at that time and encompasses seasonal habitats needed to support a recovered population. The GYE recovery zone spans portions of Montana, Idaho and Wyoming and includes parts of 5 National Forests (Beaverhead-Deerlodge,...
View more...
ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.