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On the parameterization of acoustic detection probability models
Author(s) -
Gjelland Karl Ø.,
Hedger Richard D.
Publication year - 2017
Publication title -
methods in ecology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.425
H-Index - 105
ISSN - 2041-210X
DOI - 10.1111/2041-210x.12732
Subject(s) - telemetry , computer science , parameterized complexity , variation (astronomy) , biotelemetry , bioacoustics , acoustic attenuation , attenuation , ecology , acoustics , telecommunications , algorithm , biology , physics , astrophysics , optics
Summary Methods that aid in understanding the variation in the detection probability in acoustic telemetry can aid proper interpretations of data derived using such systems. In their recent paper, Huveneers et al . ( Methods in Ecology and Evolution , 7, 825‐835, 2016) claim that a general detection probability model (Gjelland & Hedger, Methods in Ecology and Evolution , 4, 665–674, 2013) does not have the intended applicability across systems. However, Huveneer et al . applies predictions for a shallow freshwater application to results from a much deeper marine application, which is an invalid use of acoustic theory and the proposed general model. Users of acoustic telemetry are encouraged to acknowledge how environmentally induced variation in the acoustic attenuation coefficient influences the detection probability, because an understanding of this will aid prediction of how acoustic telemetry systems will work under various environmental conditions. Models used for predictions must be appropriately parameterized. Proper incorporation of spatiotemporal variation in acoustic detection probability may help reduce effects of environmentally induced biases in detection data. We challenge scientists to make further contributions to how acoustic theory can be incorporated in the modelling of detection probability in acoustic telemetry.