Environmental factors influence the detection probability in acoustic telemetry in a marine environment: results from a new setup

J Reubens, P Verhelst, I van der Knaap, K Deneudt… - Hydrobiologia, 2019 - Springer
Hydrobiologia, 2019Springer
Acoustic telemetry is a commonly applied method to investigate the ecology of marine
animals and provides a scientific basis for management and conservation. Crucial insight in
animal behaviour and ecosystem functioning and dynamics is gained through acoustic
receiver networks that are established in many different environments around the globe. The
main limitation to this technique is the ability of the receivers to detect the signals from
tagged animals present in the nearby area. To interpret acoustic data correctly …
Abstract
Acoustic telemetry is a commonly applied method to investigate the ecology of marine animals and provides a scientific basis for management and conservation. Crucial insight in animal behaviour and ecosystem functioning and dynamics is gained through acoustic receiver networks that are established in many different environments around the globe. The main limitation to this technique is the ability of the receivers to detect the signals from tagged animals present in the nearby area. To interpret acoustic data correctly, understanding influencing factors on the detection probability is critical. Therefore, range test studies are an essential part of acoustic telemetry research. Here, we investigated whether specific environmental factors (i.e. wind, currents, waves, background noise, receiver tilt and azimuth) influence the receiver detection probability for a permanent acoustic receiver network in Belgium. Noise and wind speed in relation to distance, the interaction of receiver tilt and azimuth and current speed were the most influential variables affecting the detection probability in this environment. The study indicated that there is high detection probability up to a distance of circa 200 m. A new setup, making use of features that render valuable information for data analysis and interpretation, was tested and revealed general applicability.
Springer
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