The probability of detecting echolocating delphinids on a near-seafloor sensor was estimated using two Monte Carlo simulation methods. One method estimated the probability of detecting a single click (cue counting); the other estimated the probability of detecting a group of delphinids (group counting). Echolocation click beam pattern and source level assumptions strongly influenced detectability predictions by the cue counting model. Group detectability was also influenced by assumptions about group behaviors. Model results were compared to in situ recordings of encounters with Risso's dolphin (Grampus griseus) and presumed pantropical spotted dolphin (Stenella attenuata) from a near-seafloor four-channel tracking sensor deployed in the Gulf of Mexico (25.537°N 84.632°W, depth 1220 m). Horizontal detection range, received level and estimated source level distributions from localized encounters were compared with the model predictions. Agreement between in situ results and model predictions suggests that simulations can be used to estimate detection probabilities when direct distance estimation is not available.
Delphinid echolocation click detection probability on near-seafloor sensors
Kaitlin E. Frasier, Sean M. Wiggins, Danielle Harris, Tiago A. Marques, Len Thomas, John A. Hildebrand; Delphinid echolocation click detection probability on near-seafloor sensors. J. Acoust. Soc. Am. 1 September 2016; 140 (3): 1918–1930. https://doi.org/10.1121/1.4962279
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