Closure violation in DNA-based mark-recapture estimation of grizzly bear populations
By John Boulanger, Bruce N. McLellan. 2001
108 citations recorded by the source corpus.
Subfields: Ecology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/c31d51f7e46aec39f22d183c7523c920d23f11ce
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Bruce N. McLellan
- Gordon B. Stenhouse
- John Boulanger
- D. Paetkau
- M. Proctor
- G. Mowat
- Clayton D. Apps
- M. Efford
In Statistics and Probability
- Gordon B. Stenhouse
- M. Efford
- Bruce N. McLellan
- Andrea E. Byrom
- M. Proctor
- David L. Borchers
- M. Kelly
- B. Gerber
Citations in the corpus
- SOURCES OF HETEROGENEITY BIAS WHEN DNA MARK-RECAPTURE SAMPLING METHODS ARE APPLIED TO GRIZZLY BEAR (URSUS ARCTOS) POPULATIONS (2004, methodology): “Our method of modeling capture probabilities of bears as a function of distance captured from grid (Boulanger and McLellan 2001) directly estimates capture probability bias caused by closure violation.”
- Ecological investigations of grizzly bears in Canada using DNA from hair, 1995–2005: a review of methods and progress (2010, methodology): “Where applicable, we used the distance a capture (or the average of multiple captures) was from the grid edge as a covariate to explicitly model closure violation (Boulanger and McLellan 2001).”
- Snow leopard Panthera uncia predation on livestock and wild prey in a mountain valley in northern Nepal: implications for conservation management (2012, methodology): “This is still a relatively long sampling period, which likely would violate an assumption of population closure, if we had chosen a capture-markrecapture approach to estimate snow leopard abundance (e.g. Kendall 1999, Boulanger & McLellan 2001).”
- Density Estimation by Spatially Explicit Capture–Recapture: Likelihood-Based Methods (2009, background): “Passive DNA sampling (e.g. Woods et al. 1999; Mills et al. 2000; Boulanger and McLellan 2001; Boulanger et al. 2004) and camera traps (e.”
- ESTIMATING GRIZZLY BEAR DISTRIBUTION AND ABUNDANCE RELATIVE TO HABITAT AND HUMAN INFLUENCE (2004, background): “For bears, recent advancements have been made in noninvasive hair-capture, genetic tagging, and population density estimation (Woods et al. 1999, Mowat and Strobeck 2000, Boulanger and McLellan 2001, Poole et al. 2001).”
- Evaluating the potential biases in carnivore capture–recapture studies associated with the use of lure and varying density estimation techniques using photographic-sampling data of the Malagasy civet (2011, methodology): “We included a priori biologically plausible models in this full Pradel analysis (Boulanger and McLellan 2001).”
- SAMPLING DESIGN AND BIAS IN DNA-BASED CAPTURE–MARK–RECAPTURE POPULATION AND DENSITY ESTIMATES OF GRIZZLY BEARS (2004, methodology): “To minimize closure violation, grid placement with respect to topographic barriers and areas of high bear density may be more important than grid size alone (Boulanger and McLellan 2001).”