ESTIMATING DETECTION PROBABILITY AND DENSITY FROM POINT-COUNT SURVEYS: A COMBINATION OF DISTANCE AND DOUBLE-OBSERVER SAMPLING

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In Defense of Indices: The Case of Bird Surveys (2008, methodology): “Kissling and Garton (2006) developed a method that combined double-observer with distance sampling and applied it to breeding birds in southeastern Alaska.”
Inferences About Landbird Abundance from Count Data: Recent Advances and Future Directions (2009, background): “…double-observer approaches (Alpizar-Jara and Pollock 1996, 1999; Manly et al. 1996; Hiby and Lovell 1998; Borchers et al. 1998a, b; Borchers 1999; Laake and Borchers 2004), although applications to avian point count data have been relatively recent (Alldredge et al. 2006; Kissling and Garton 2006).”
EXPERIMENTAL ANALYSIS OF THE AUDITORY DETECTION PROCESS ON AVIAN POINT COUNTS (2007, methodology): “Applications of combined methods are also possible (Kissling and Garton 2006, Alldredge et al. in press a, b).”
A hierarchical model combining distance sampling and time removal to estimate detection probability during avian point counts (2014, background): “…for it only as a covariate in time-removal or capture–recapture (multipleobserver) models will generally result in estimates of density with a large negative bias, even if counts are restricted to a small (e.g., 50-m) radius (Kissling and Garton 2006, Efford and Dawson 2009, Sólymos et al. 2013).”