EXPERIMENTAL ANALYSIS OF THE AUDITORY DETECTION PROCESS ON AVIAN POINT COUNTS

By Theodore Simons, M. Alldredge, K. Pollock, J. Wettroth. 2007

250 citations recorded by the source corpus.

Subfields: Developmental Biology, Ecology

View Paper: https://www.semanticscholar.org/paper/d58f62a57459b0a71d256c72e84fa1b030275345

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In Developmental Biology

In Ecology

Citations in the corpus

In Defense of Indices: The Case of Bird Surveys (2008, background): “Simons et al. (2007) found under controlled experimental conditions that errors in bird detections were influenced by several factors.”
Advances and applications of occupancy models (2014, background): “While the possibility of false-positive errors had been acknowledged in various studies (e.g. Simons et al. 2007; Shea et al. 2011), the problem had been largely ignored in model development until recently (but see Royle & Link 2006).”
A Field Evaluation of Distance Measurement Error in Auditory Avian Point Count Surveys (2007, methodology): “We played song recordings using a remotely operated simulation system consisting of a transmitter and 30 remote players with speakers facing in opposite directions (Simons et al. 2007).”
Landscape matrix and species traits mediate responses of Neotropical resident birds to forest fragmentation in Jamaica (2010, methodology): “…among matrix types due to potential variation in noise, vegetation structure, or bird abundances in different landscape contexts (e.g., Simons et al. 2007), we modeled species detection probabilities with and without detection heterogeneity among the four matrix types based on removal…”
Inferences About Landbird Abundance from Count Data: Recent Advances and Future Directions (2009, methodology): “Decibel level appears to be inexorably linked with the auditory detection process (Simons et al. 2007), and so may have led to unmodeled trends in detectability in BBS analyses.”
Effects of Vegetation and Background Noise on the Detection Process in Auditory Avian Point-Count Surveys (2008, methodology): “Many field ornithologists, however, still use abundance indices (Rosenstock et al. 2002, Simons et al. 2007), arguing that standardized design protocols modeling measured covariates to control for variation in detection probability are sufficient.”