Movement ecology, diet, and contaminants: Establishing benchmarks for monitoring Arctic seabirds and their habitats in the face of environmental change
Notice bibliographique
Résumé
Birds have long been used as ecological indicators of environmental change. Seabirds, with their high trophic position, accessibility at central breeding locations, and ability to integrate signals across space and time, are particularly useful for monitoring changes in marine environments, especially in remote regions where in-depth ecological research can be logistically challenging. Indeed, long-term monitoring of seabirds has provided important insights on many pressing environmental threats, such as changes in ocean productivity, prey species distribution, and trends in pollution. However, knowledge on the ecology, movement, and threats to many seabird species remains limited, particularly in remote regions such as the Arctic. In this thesis, I examine how seabirds can be used as indicators of environmental change in the Arctic using multiple approaches, filling key knowledge gaps on the ecology of multiple Arctic-breeding seabirds. First, I examined the migratory movements of an Arctic-breeding generalist, the herring gull (Larus smithsoniansus), and found that these birds exhibit high inter- and intra-individual variation in migration routes from the Canadian Arctic, but largely overwinter in the same area. This suggests that this population of herring gulls may be more susceptible to climate change impacts in their overwintering locations than during migration. Second, I expanded upon this work by examining individual repeatability in migration and overwintering strategies of another Arctic-breeding generalist species, the glaucous gull (Larus hyperboreus). Here, I found the first evidence of diverging migration in this species and show that wintering areas may shift due to changes in sea ice concentrations. These results indicate that this population may be flexible, at least in the short-term, to changes in climate throughout migration. Third, I used stomach content and stable isotope analyses to assess the diet of another Arctic-breeding gull, the black-legged kittiwake (Rissa tridactyla). Here, I found that kittiwakes in the Canadian Arctic rely heavily on Arctic cod (Boreogadus saida), but that stomach content analyses may underestimate the number of soft-tissue organisms in the diet, such as invertebrates, which has implications for understanding how this species will be impacted by changes in food web structure. Next, I used a combination of new data and a review of historical work to assess plastic pollution ingestion in four Arctic-breeding seabird species. Here, I showed that plastic ingestion differs across species, regions, and time, but surface-feeding species consistently ingest more plastic than pursuit-diving species, emphasizing the importance of the northern fulmar (Fulmarus glacialis) as a monitoring tool for plastic ingestion in Canada and the Arctic. Finally, I reviewed how avian movements play a role in the source, transport, and fate of contaminants, and found that many studies did not consider tissue and contaminant turnover rates, tracking device resolution, and/or statistical power. Using this information, I provided key recommendations for future research in this field. Collectively, this research contributes to the understanding of the ecology of Arctic-breeding seabirds and can act as a benchmark for monitoring change in these species and the ecosystems they inhabit, in turn informing conservation, management, and policy in a rapidly changing climate
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 | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| 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 ».