Components of Grizzly Bear Habitat Selection: Density, Habitats, Roads, and Mortality Risk
By Lana M. Ciarniello, M. Boyce, D. Heard, D. Seip. 2007
93 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology
View Paper: https://www.semanticscholar.org/paper/e7d84b427bf103e2f5db79e2527dbba21a4f89af
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
- M. Boyce
- Gordon B. Stenhouse
- Scott E. Nielsen
- Bruce N. McLellan
- Gregory J. McDermid
- M. Wulder
- Jon E. Swenson
- R. J. Aarde
In Ecology
- Gordon B. Stenhouse
- M. Boyce
- Scott E. Nielsen
- Bruce N. McLellan
- Gregory J. McDermid
- A. Zedrosser
- Jon E. Swenson
- Sam Steyaert
Citations in the corpus
- Some mechanisms underlying variation in vital rates of grizzly bears on a multiple use landscape (2015, methodology): “The industry and other human activities affected the distribution and behavior of grizzly bears in my study area (McLellan and Shackleton 1988, 1989a,b) and in other areas (Kasworm and Manley 1990, Mace et al. 1996, Ciarniello et al. 2007).”
- The mating system of the brown bear Ursus arctos (2012, methodology): “…factor determining the distribution of brown bears in their historical range (Kaczensky et al. 2006); it alters their ecology and behaviour, such as habitat selection and circadian rhythms (Pasitschniak-Arts 1993, Swenson 1999, Klinka & Reimchen 2002, Ciarniello et al. 2007, Nellemann et al. 2007).”
- Dynamic wildlife habitat models: Seasonal foods and mortality risk predict occupancy-abundance and habitat selection in grizzly bears (2010, methodology): “…al., 2002), facilitated by geographic information systems (GIS) and advances in telemetry, have been used extensively over the past decade to model habitat conditions for bears (e.g., Mace et al., 1999; McLellan and Hovey, 2001; Nielsen et al., 2003, 2004c, 2006; Ciarniello et al., 2007a, 2007b).”
- Quantifying Grizzly Bear Selection of Natural and Anthropogenic Edges (2013, methodology): “Resource selection functions estimate the relative probability of use of a resource unit (Manly 2002) and have been widely used in wildlife habitat selection studies (Bowyer and Bleich 1984, Edge et al. 1987, Ciarniello et al. 2007, Nielsen et al. 2009).”