IMPROVING ESTIMATES OF BIRD DENSITY USING MULTIPLE- COVARIATE DISTANCE SAMPLING

By Tiago A. Marques, L. Thomas, S. Fancy, S. T. Buckland. 2007

357 citations recorded by the source corpus.

Subfields: Ecology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/e19de28ce2013092207ebeeda683ef9bb1e1f23d

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Citations in the corpus

Calibrating indices of avian density from non‐standardized survey data: making the most of a messy situation (2013, background): “pooled over such a large data set (Buckland et al. 2001; Marques et al. 2007).”
Spatial models for distance sampling data: recent developments and future directions (2013, background): “The detection function may also include covariates (multiple covariate distance sampling, MCDS; Marques et al. 2007) that affect the scale of the detection function.”
Using mark–recapture distance sampling methods on line transect surveys (2014, methodology): “We refer the reader to Marques et al. (2007) for information on including explanatory variables into the DS model.”
Inferences About Landbird Abundance from Count Data: Recent Advances and Future Directions (2009, background): “One potential solution to extreme heterogeneity is to include the factors causing the heterogeneity as additional covariates in the detection function model (Marques et al. 2007).”
Estimating animal population density using passive acoustics (2012, background): “Larger clusters are often easier to detect than smaller ones, leading to a potential bias when determining population mean cluster size; this is often dealt with using multiple covariate distance sampling (MCDS, see Marques & Buckland, 2003; Marques et al., 2007).”
Distance sampling with camera traps (2017, background): “Such violations may be detectable during exploratory analysis in the form of fewer than expected detections near the point, and bias can be avoided via left-truncation (Buckland et al. 2001;Marques et al. 2007).”
A hierarchical model combining distance sampling and time removal to estimate detection probability during avian point counts (2014, background): “Similarly, availability and perceptibility may differ within a species depending on the type of cue (visual or auditory) given, which may induce heterogeneity in detection probability that is difficult to model jointly (cf. Marques et al. 2007).”
Estimating bird abundance: making methods work (2008, background): “If it is not reasonable, then we can model the detection function as a function of covariates (Marques and Buckland 2003; Marques et al. 2007).”
WinBUGS for population ecologists: bayesian modeling using markov chain Monte Carlo methods (2009, background): “Note that those advantages may also be applied in distance sampling models in order to incorporate covariates in the modeling of the detection function (Marques and Buckland 2003; Marques et al. 2007).”