Modelling Ship-Source Noise Impacts on Marine Mammals In Tallurutiup Imanga National Marine Conservation Area
Notice bibliographique
Résumé
Climate change has influenced decreases in sea ice extent and thickness in the Arctic and facilitated a subsequent increase in marine traffic across the Canadian Arctic. Tallurutiup Imanga (TI), a unique National Marine Conservation Area (NMCA) which is home to rich wildlife and culture, is located in the heart of the Northwest Passage in the Canadian Arctic and has experienced some of the most rapid increases in vessel traffic in the region over the past two decades. Increases in ship traffic in this fragile and important region have the potential to negatively impact marine mammals that inhabit the area, which was the impetus for protected areas status in the first place. The focus of this thesis research was to examine the potential impacts of underwater noise from ships on marine mammals in the Tallurutiup Imanga NMCA. The approach taken involved: 1) examining historic spatial and temporal vessel traffic trends in the area of interest from 1990 to 2018, using the Canadian Coast Guard ship archive data for the Northern Canada Vessel Traffic Service (NORDREG) Zone, 2) conducting an in-depth analysis of recent traffic trends (2015-18) using spatially precise Automatic Identification System (AIS) vessel traffic data, 3) creating underwater noise profiles using in an acoustic model to produce received level values cumulatively for all vessels and also for all vessels within a single class, 4) identifying behavioural disturbance events as 500 metre cells where the received level was equal to 120 dB, which is the behavioural disturbance threshold for marine mammals defined National Ocean and Atmospheric Administration (NOAA), and 5) overlaying acoustic model outputs with important areas for marine mammals to understand the spatial extent of ship-source underwater noise impacts in TI. Study results revealed that vessel traffic in Tallurutiup Imanga has almost tripled over the past 29 years with bulk carriers and passenger ships travelling the most in 2018. In the most recent years of the study period there were also spikes in vessel traffic; 2018 saw nearly a doubling of bulk carrier traffic to Baffinland Iron Ore Mines Corporation’s Mary River Mine site on Baffin Island. From the years 2015 to 2018, there were certain areas where behavioural disturbance events overlapped beluga and narwhal core use areas (50 Percent Volume Contours), as well as observed wildlife areas (based on Inuit and local knowledge). Some areas like Eclipse Sound and Milne Inlet had an increased risk of behavioural disturbance events, especially with cargo vessels and passenger ships. These areas indicated a potential for negative impacts on marine mammals, and areas that have more disturbance events have a higher chance of being affected. The aim of this research was to inform our understanding of potential underwater noise risks to marine mammal, and to support ongoing environmental management and governance efforts that could be used to provide evidence-based decision making for future mitigation of the NMCA.
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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 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 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 ».