Introduction to distance sampling : estimating abundance of biological populations
By S. Buckland. 2001
3,244 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/01bf02bd8e470e968f02368cbf9595abfb3253f0
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- J. Andrew Royle
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- Mathias Tobler
- D. MacKenzie
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- M. Mazerolle
Citations in the corpus
- RUMINATIONS ON THE DEVELOPMENT AND FUTURE OF POPULATION DYNAMICS MODELS IN FISHERIES (2003, methodology): “There have been continual improvements to methods during the Golden Age, most of which are summarized in reviews by Seber and Schwarz ([1986, 1992, 1999]); see Schwarz and Seber [1999]) and Buckland et al. [2000]. Line transect theory is carefully summarized in Buckland et al.”
- Estimating Black Bear Density Using DNA Data From Hair Snares (2010, methodology): “This function is similar to a half-normal detection function widely used in distance sampling (Buckland et al. 2001) and other spatial capture–recapture applications (Efford 2004, Borchers and Efford 2008).”
- Abundance and population density of cetaceans in the California Current ecosystem (2007, methodology): “Estimation of abundance from line-transect data Cetacean abundance was estimated by using line-transect methods (Buckland et al., 2001) with multiple covari- ates (Marques and Buckland, 2003).”
- Rise of the generalists: evidence for climate driven homogenization in avian communities (2012, methodology): “129 130 Bird detectability 131 To correct for differences in detectability between species, we used a distance-sampling 132 approach (Buckland et al., 2001).”
- Satellite imagery can be used to detect variation in abundance of Weddell seals (Leptonychotes weddellii) in Erebus Bay, Antarctica (2011, unknown): “near, sailing by, or Xying over the area (Buckland et al. 2001; Southwell 2005a).”
- An Overview of Fixed Passive Acoustic Observation Methods for Cetaceans (2007, methodology): “This probability density function (PDF) may then be inverted using point-transect statistical methods (Buckland et al., 2001), which essentially extrapolate from the number of animals detected near the sensor to the number of animals present and vocalizing in some larger area.”
- In search of forage: predicting dynamic habitats of Mongolian gazelles using satellite-based estimates of vegetation productivity (2008, background): “…and Systematics Program, University of Maryland, College Park, MD 20742, USA; 3 Department of Natural Resources Conservation, 160 Holdsworth Way, University of Massachusetts, Amherst, MA 01003-9285, USA; 4 Wildlife Conservation Society, 2300 Southern Boulevard, Bronx, NY 10460, USA; 5 Institute of”
- Monitoring in the presence of species misidentification: the case of the Eurasian lynx in the Alps (2012, methodology): “Fortunately, a large number of protocols for animal abundance or distribution estimation provide different methods for estimation of detection probabilities for specific kinds of count or species distribution statistics (Buckland et al., 2001; Borchers, Buckland & Zucchini, 2002; MacKenzie et al., 2”
- Female tiger Panthera tigris home range size and prey abundance: important metrics for management (2014, methodology): “Uniform and half-normal models for the detection function were fitted against the data, using cosine adjustments (Buckland et al., 2001).”