North Atlantic Right Whales in Newfoundland and Labrador waters, based on calls and opportunistic sightings
Notice bibliographique
Résumé
With the increase of North Atlantic Right Whale (NARW) detections in Canadian waters, and the mortalities some have suffered here, there has been increased effort to detect and monitor the location and abundance of these whales, and ascertain how their habitat use patterns have changed. Automated detection and classification (DCS) of the underwater vocalizations of NARW is an essential tool to process the large volume of acoustic recording data gathered by Fisheries and Oceans Canada (DFO) to monitor these calling whales. DFO in Newfoundland and Labrador Region (referred to as NL hereafter) implemented an updated version of Baumgartner’s Low Frequency Detection and Classification System (LFDCS) to perform automated DCS of baleen whale vocalizations using acoustic data collected since 2009 from 69 successful deployments and nearly 150,000 h of recording time. In this study we used LFDCS to detect NARW presence, a task that it generally performed well, but in some offshore areas it generated false NARW detections within the context of smeared seismic airgun sounds or pervasive calling Humpback Whales. Although confounded by effects of high ambient noise, the small number of moorings over the large study area, and occasional Humpback Whale calls, confirmed NARW upcalls were detected occasionally off the Labrador coast, the south and east coasts of Newfoundland, along the margin of the Laurentian Channel, and in offshore areas. Most NARW upcalls were detected in the summer (Jun-Aug) or fall (Sep-Nov). Analysis of a subset of audio from 20 moorings across the study area found no NARW calls missed by LFDCS. However, on rare occasions during data validation, other more irregular NARW calls were sometimes missed by both our NL23 LFDCS library and the older Gom9 library when the LFDCS settings were not generalized sufficiently. Using seismically-contaminated acoustic recordings from the Grand Banks, differences between the Gom9 and NL23 libraries in precision and F1 (the harmonic mean of precision and recall) were marginal in the limited testing we conducted after creating the NL23 library. Nonetheless, improvements incorporated into our NL23 detector library streamlined data analysis and confirmed the presence of NARW in Newfoundland and Labrador waters. In addition, DFO NL’s opportunistic sightings database contains 29 records (totalling 44 whales) of free-swimming NARW between 2002 and 2023, with sightings made in almost all years. Recent sightings, with several matched to the New England Aquarium NARW catalogue, included a few individuals feeding in relatively shallow water not far from shore in Newfoundland. The confirmed and possible acoustic detections of NARW around Newfoundland and Labrador since at least 2009, and the sightings of this species in the region (particularly in recent years), corroborates that NARW are an occasional component of the marine megafauna in these waters.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».