Variation in glider-detected North Atlantic right, blue, and fin whale calls in proximity to high-traffic shipping lanes

dc.contributor.author Indeck, Katherine L.
dc.contributor.author Gehrmann, Romina
dc.contributor.author Richardson, A. L.
dc.contributor.author Barclay, David R.
dc.contributor.author Baumgartner, Mark F.
dc.contributor.author Nolet, Veronique
dc.contributor.author Davies, Kimberley T.A.
dc.date.accessioned 2024-12-24T17:09:29Z
dc.date.available 2024-12-24T17:09:29Z
dc.date.issued 2024-06-13
dc.description © The Author(s), 2024. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Indeck, K., Gehrmann, R., Richardson, A., Barclay, D., Baumgartner, M., Nolet, V., & Davies, K. (2024). Variation in glider-detected North Atlantic right, blue, and fin whale calls in proximity to high-traffic shipping lanes. Endangered Species Research, 54, 191–217, https://doi.org/10.3354/esr01327.
dc.description.abstract Passive acoustic monitoring has become an integral tool for determining the presence, distribution, and behavior of vocally active cetacean species. Acoustically equipped underwater gliders are becoming a routine monitoring platform, because they can cover large spatial scales during a single deployment and have the capability to relay data to shore in near real-time. Yet, more research is needed to determine what information can be derived from glider-recorded cetacean detections. Here, a Slocum glider that monitored continuously for low frequency (<1 kHz) baleen whale vocalizations was deployed across the Honguedo Strait and the associated traffic separation scheme in the Gulf of St. Lawrence, Canada, during September and October 2019. We conducted a manual analysis of the archived audio to examine spatial and temporal variation in acoustic detection rates of North Atlantic right whales (NARWs), blue whales, and fin whales. Call detections of blue and fin whales demonstrated that both species were acoustically active throughout the deployment. Environmental association models suggested their preferential use of foraging areas along the southern slopes of the Laurentian Channel. Results also indicate that elevated background noise levels in the shipping lanes from vessel traffic only minimally influenced the likelihood of detecting blue whale acoustic presence, while they did not affect fin whale detectability. NARWs were definitively detected on less than 20% of deployment days, so only qualitative assessments of their presence were described. Nevertheless, detections of all 3 species highlight that their movements throughout this seasonally important region overlap with a high volume of vessel traffic, increasing their risk of ship strike.
dc.description.sponsorship The work presented here was conducted as part of project SWIMM: Saving Whales with Innovative Monitoring and Mitigation, by a multi-disciplinary team at Dalhousie University (DAL) and the University of New Bruns- wick (UNB). We thank our funders, Transport Canada’s Inno- vation Centre (TC/IC).
dc.identifier.citation Indeck, K., Gehrmann, R., Richardson, A., Barclay, D., Baumgartner, M., Nolet, V., & Davies, K. (2024). Variation in glider-detected North Atlantic right, blue, and fin whale calls in proximity to high-traffic shipping lanes. Endangered Species Research, 54, 191–217.
dc.identifier.doi 10.3354/esr01327
dc.identifier.uri https://hdl.handle.net/1912/71057
dc.publisher Inter-Research Science Publisher
dc.relation.uri https://doi.org/10.3354/esr01327
dc.rights Attribution 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.subject Acoustic detections
dc.subject Blue whales
dc.subject Fin whales
dc.subject North Atlantic right whales
dc.subject Remote sensing
dc.subject Shipping lanes
dc.subject Underwater gliders
dc.subject Whale calls
dc.title Variation in glider-detected North Atlantic right, blue, and fin whale calls in proximity to high-traffic shipping lanes
dc.type Article
dspace.entity.type Publication
relation.isAuthorOfPublication 1205b93b-633b-4994-8473-ba80b225fe8c
relation.isAuthorOfPublication 2ae8bf1c-ddf6-4cdb-876d-6c35295c72e9
relation.isAuthorOfPublication d1b2fbe2-53a9-4506-a0b5-d634739ab911
relation.isAuthorOfPublication.latestForDiscovery 1205b93b-633b-4994-8473-ba80b225fe8c
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