Demography and Genetic Structure of a Recovering Grizzly Bear Population
By K. Kendall, Jeffrey B. Stetz, John Boulanger, Amy C. Macleod, D. Paetkau, G. White. 2009
303 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/682894327130c9e2063b684706722ae6898fd697
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Jon E. Swenson
- Bruce N. McLellan
- P. Taberlet
- E. Bellemain
- D. Paetkau
- Gordon B. Stenhouse
- L. Waits
- John Boulanger
In Genetics
- L. Waits
- P. Taberlet
- M. D. Schwartz
- D. Paetkau
- Jon E. Swenson
- E. Bellemain
- F. Allendorf
- Gordon Luikart
Citations in the corpus
- 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).”
- Comparing opportunistic and systematic sampling methods for non‐invasive genetic monitoring of a small translocated brown bear population (2010, methodology): “16 km compared to ‡25 km) (i.e. Boulanger et al. 2002; Kendall et al. 2009) that resulted in a higher encounter rate, and is suitable for population estimation with this method (i.”
- Ecological investigations of grizzly bears in Canada using DNA from hair, 1995–2005: a review of methods and progress (2010, methodology): “Kendall et al. (2009) also illustrated that large datasets do not necessarily correspond to higher error rates.”
- Estimating population size and trends of the Swedish brown bear Ursus arctos population (2011, methodology): “The prevailing methods for non-invasive DNA sampling are hair snagging using baits (Boulanger et al. 2002, Kendall et al. 2009) and collection of scats (Bellemain et al. 2005).”
- Estimating Black Bear Density Using DNA Data From Hair Snares (2010, background): “This is becoming a more common practice in hair-snare studies (Kendall et al. 2008, Kendall et al. 2009) and camera trapping studies (Karanth and Nichols 2002, Karanth et al. 2004).”
- Some mechanisms underlying variation in vital rates of grizzly bears on a multiple use landscape (2015, background): “In 2004, Kendall et al. (2009) estimated the population size ofgrizzly bears in theNorthernContinentalDivideEcosystem ofMontana using barbedwire hair traps following themethod of Woods et al. (1999).”
- Estimating abundance of the remnant Apennine brown bear population using multiple noninvasive genetic data sources (2015, methodology): “…has become the established practice for estimating bear population abundance in North America (e.g., Mowat and Strobeck 2000; Boulanger et al. 2002; Kendall et al. 2008, 2009; Proctor et al. 2010; Sawaya et al. 2012), even though the application of this technique as a stand-alone sampling method…”
- The reintroduction of the Eurasian otter (Lutra lutra) into the Netherlands: hidden life revealed by noninvasive genetic monitoring (2010, background): “…and Wayne 1997; Taberlet et al. 1999; Piggott and Taylor 2003; Waits and Paetkau 2005) yields details on elusive and nocturnal animals like bears (Kendall et al. 2009), coyotes (Kohn et al. 1999; Prugh et al. 2005), otters (Ferrando et al. 2008; Hung et al. 2004), lynx (Palomares et al. 2002)…”
- Estimation of census and effective population sizes: the increasing usefulness of DNA-based approaches (2010, methodology): “Kendall et al. (2009) used DNA from hair snares and rubs and Huggins–Pledger closed mark–recapture models to estimate population size for grizzly bears (Ursus arctos) in the 33,480 km2 in the Northern Continental Divide Ecosystem of Montana, U.S.A.”