ESTIMATING GRIZZLY BEAR DISTRIBUTION AND ABUNDANCE RELATIVE TO HABITAT AND HUMAN INFLUENCE
By Clayton D. Apps, Bruce N. McLellan, J. G. Woods, M. Proctor. 2004
184 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/1224e36c0367afa3832efdeb1f2f2fe597143f11
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
- Bruce N. McLellan
- M. Boyce
- Gordon B. Stenhouse
- Scott E. Nielsen
- A. Clevenger
- M. A. Sawaya
- M. Proctor
- Bram Van Moorter
In Ecology
- Bruce N. McLellan
- Gordon B. Stenhouse
- D. Paetkau
- John Boulanger
- M. Boyce
- Scott E. Nielsen
- M. Proctor
- Jon E. Swenson
In Global and Planetary Change
- Bruce N. McLellan
- Gordon B. Stenhouse
- Scott E. Nielsen
- M. Boyce
- A. Clevenger
- M. A. Sawaya
- Samuel A. Cushman
- M. Proctor
Citations in the corpus
- Coping with human disturbance: spatial and temporal tactics of the brown bear (Ursus arctos) (2010, background): “…brown bears occur in regenerating forests, such as numerous species of ants (Rolstad et al. 1998, 2000), more diverse and abundant herbaceous materials (Apps et al. 2004; Nielsen et al. 2004), and promote grasses, herbs, and crowberries (genus Empetrum L.) (Rolstad et al. 2000; Mallik 2003).”
- Some mechanisms underlying variation in vital rates of grizzly bears on a multiple use landscape (2015, methodology): “Additionally, the number of bears recorded at hair traps have been used to assess landscape conditions used by grizzly bears (Apps et al. 2004, Graves et al. 2011).”
- Piloting a Non-Invasive Genetic Sampling Method for Evaluating Population-Level Benefits of Wildlife Crossing Structures (2010, methodology): “…Mowat and Strobeck 2000, Schwartz et al. 2003) and has been used to estimate grizzly bear population size (Boulanger et al. 2002), model population density and distribution (Apps et al. 2004, Kendall et al. 2008), and characterize population connectivity (Proctor et al. 2005, Kendall et al. 2009).”
- SEASONAL AND DIEL PATTERNS OF GRIZZLY BEAR DIET AND ACTIVITY IN WEST-CENTRAL ALBERTA (2006, background): “Grizzly bear habitat use has been widely documented within the Central Rockies of Canada (Apps et al. 2004; Gibeau 1998; Hamer and Herrero 1987; Hamer et al. 1991; McLellan and Hovey 2001; Mueller et al. 2004; Nielsen et al. 2002, 2003, * Correspondent: robin_munro2002@yahoo.ca 2006 American…”
- SAMPLING DESIGN AND BIAS IN DNA-BASED CAPTURE–MARK–RECAPTURE POPULATION AND DENSITY ESTIMATES OF GRIZZLY BEARS (2004, methodology): “For example, analysis of the capture–mark– recapture and radiotelemetry data from this study (Apps et al. 2004) suggests that the northern edge of the 1996 grid was composed of highquality habitat as shown by the concentration of bear captures in this area.”
- Brown bear habitat suitability in the Pyrenees: transferability across sites and linking scales to make the most of scarce data (2012, result): “As expected, bears preferred areas with high hard-mast tree cover, sufficient forest connectivity and rugged terrain, which is consistent with the literature (although at different spatial scales, Apps et al. 2004; Nellemann et al. 2007; Martin et al. 2010).”
- Sexually selected infanticide in grizzly bears: the effects of hunting on cub survival (2005, methodology): “The model used the body mass of bears (37 F, 59 M) captured in the Flathead and the upper Columbia River drainage (Apps et al. 2004), located 250 km north of the Flathead study area.”
- Ecological investigations of grizzly bears in Canada using DNA from hair, 1995–2005: a review of methods and progress (2010, methodology): “For example, we derived a riparian variable by combining wetland and stream layers with areas of low slopes containing vegetation typically found in productive riparian layers (Apps et al. 2004, Proctor et al. 2007).”
- A habitat-based framework for grizzly bear conservation in Alberta (2006, background): “Even spatial models that predict grizzly bear abundance ( Apps et al., 2004 ), although adding additional information over and above occupancy and use, still lack an explicit mechanism to identify conservation actions.”
- Estimating effective landscape distances and movement corridors: Comparison of habitat and genetic data (2015, background): “Brown bear is highly dependent on large landscapes with low human-footprint and large extents of forest cover (Clevenger et al. 1997, Apps et al. 2004, Mateo-Sánchez et al. 2014a).”
- Terrain use by an expanding brown bear population in relation to age, recreational resorts and human settlements (2007, background): “…of outdoor recreational resorts and construction of second-home cabins may be influencing the availability and quality of bear habitat (Elgmork, 1978, 1983, 1994; Mattson et al., 1992; Mace and Waller, 1996; Olson et al., 1997; Gibeau et al., 2002; Boyce and Waller, 2003; Apps et al., 2004).”
- Comparing opportunistic and systematic sampling methods for non‐invasive genetic monitoring of a small translocated brown bear population (2010, background): “For example, systematic HT allows probability of occurrence modelling and inference of population trends and variables affecting spatial distribution (Apps et al. 2004; Boulanger, Himmer & Swan 2004) that could not be obtained with opportunistic designs alone due to unequal sampling intensity or pre”