Abstract
There are gaps in our understanding of sturgeon's response to anthropogenic sounds and the spatial scales at which they occur. We measured spatial displacement of Atlantic sturgeon in the St. Lawrence River at various distances of approaching merchant ships. This fish population is designated as "threatened," although anthropogenic noise is not currently considered a direct threat. For several years, Atlantic sturgeon migrations have been monitored by the Quebec government using acoustic transmitters and a network of telemetry receivers in the St. Lawrence River. We combined fish telemetry data with merchant ship positions to detect co-occurrences between Atlantic sturgeons that remained in the vicinity of the receivers and approaching ships. Numerical simulations reveal that the probability of masking of transmitters (69 kHz) by ship noise was infinitesimal and that the disappearance of the transmitter signal was related to fish movement. When the ships approached, a significant spatial displacement was detected with ships at distances between 0.5 and 5 km from the receivers. After emitter signal loss, over 61% of sturgeons took at least 30 min to be detected again or did not return at all in the vicinity of the receivers. Furthermore, the median time to redetection after a ship transit was longer than when no ship was approaching (31 vs. 18 min). Our results show that sturgeons alter their position due to approaching ships at greater trigger distances than previously documented, which are too far away to be attributed to visual cues alone. We also found that the long-distance propagation of low-frequency sounds from large ships through water should not be heard by Atlantic sturgeon at distances of 1 km and longer based on current knowledge of sturgeons hearing. These results suggest that behavioral responses in Atlantic sturgeons are modulated not only by visual cues but can also be triggered by underwater sounds at relatively long distances, although the precise mechanism is still unknown.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Similar Papers
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.