2021
DOI: 10.1186/s40317-021-00270-y
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Strong thermal stratification reduces detection efficiency and range of acoustic telemetry in a large freshwater lake

Abstract: Background The successful use of acoustic telemetry to detect fish hinges on understanding the factors that control the acoustic range. The speed-of-sound in water is primarily a function of density, and in freshwater lakes density is primarily driven by temperature. The strong seasonal thermal stratification in the Great Lakes represent some of the steepest sound speed gradients in any aquatic system. Such speed-of-sound gradients can refract sound waves leading to greater divergence of acoust… Show more

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Cited by 7 publications
(2 citation statements)
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“…Another key consideration is variation in acoustic receiver detection ranges over space and time, as variation in system performance may confound inferred patterns of fish habitat associations if not accounted for in analyses (Kessel et al, 2014 ; Kuai et al, 2021 ). Recently, a relatively simple and tractable approach has been developed (Brownscombe et al, 2020a ), but was not integrated in the study design here.…”
Section: Discussionmentioning
confidence: 99%
“…Another key consideration is variation in acoustic receiver detection ranges over space and time, as variation in system performance may confound inferred patterns of fish habitat associations if not accounted for in analyses (Kessel et al, 2014 ; Kuai et al, 2021 ). Recently, a relatively simple and tractable approach has been developed (Brownscombe et al, 2020a ), but was not integrated in the study design here.…”
Section: Discussionmentioning
confidence: 99%
“…Acoustic telemetry relies on ultrasonic sound waves emanating from fish and being detected on stationary microphones (called hydrophones), in a dynamic, urbanized system with heavy recreational and commercial shipping traffic generating a noisy environment. Many environmental factors can interfere with the efficiency of the equipment, including noise, (Brownscombe et al, 2020;Kessel et al, 2014;Klinard et al, 2019;Kuai et al, 2021;Wells et al, 2021), and I attempted to explore this and incorporate into my analyses and interpretations. This is particularly important for the environmental changes that occur seasonally, like thermal stratification, and when trying to interpret seasonal changes on behaviour (Mathies et al, 2014;Payne et al, 2010).…”
Section: Study Limitationsmentioning
confidence: 99%