MIGRATION ECOLOGY AND ANNUAL CYCLE INFLUENCE ON CONTAMINANT CONCENTRATIONS IN HORNED GREBE (PODICEPS AURITUS CORNUTUS) BREEDING IN THE NORTHWEST TERRITORIES AND SASKATCHEWAN, CANADA
Notice bibliographique
Résumé
Understanding the movements that migratory birds make and landscapes they use throughout their annual cycle is essential for developing sound management and conservation strategies, as it helps to identify when and where these strategies should be implemented. As individuals migrate between breeding, stopover, and non-breeding areas, they are exposed to a multitude of environmental conditions that can influence the health of populations in subsequent seasons. Therefore, it is crucial to assess the extent to which disparate populations co-occur between phases of the annual cycle (i.e., migratory connectivity) and are thus exposed to the same environmental conditions and pressures (Cohen et al. 2018). Within Canada, evidence suggests that breeding populations of Horned Grebe (Podiceps auritus) have experienced significant declines since 1970, most notably in the Prairie Pothole Region (PPR) (COSEWIC 2009). However, Horned Grebes are largely an understudied species, and existing knowledge gaps – particularly related to migratory connectivity and exposure to contaminants throughout the annual cycle – limit our understanding of the potential drivers behind these declines. My objective was to address key knowledge gaps by assessing migratory movements (Chapter 2) and analyzing contaminant burdens presumedly acquired on non-breeding and breeding sites (Chapter 3) of disparate breeding populations of Horned Grebes in Canada. In the former, I used geolocators and stable isotopes of head feathers to assign individuals to distinct non-breeding regions and estimate migratory connectivity. In the latter, I analyzed eggs and blood plasma for persistent organic pollutants (POPs) and neonicotinoids (NNIs), respectively and evaluated relationships between measured contaminant profiles, sources of nutrients in eggs, and breeding location. In my migration study, I found tracked birds exhibited significant population spread during the non-breeding period. Stable isotope analysis suggested that disparate breeding populations may also mix on non-breeding areas. Estimates of migratory connectivity were weak (MC = 0.08 +/- 0.07), suggesting conditions experienced on non-breeding areas will have a diffuse effect on breeding populations. This idea was supported by analysis of egg stable isotope values, which indicated that contaminant profiles observed in eggs are likely not representative of non-breeding area exposure; that is, eggs are not formed entirely of endogenous inputs but may primarily represent inputs from local food sources. Contaminant analyses revealed that types of POPs in eggs were similar between the two breeding populations, with all contaminants detected at relatively low levels; polychlorinated biphenyls (PCBs) were the dominant group – both proportionally and in total concentrations – followed by organochlorines (OCs), and brominated flame retardants (BFRs). More than half of all blood samples had detections of at least one NNI at or above the method reporting limit, with several individuals exposed to more than one NNI compound. Total concentrations of NNIs were greater in samples from the Boreal study site compared to samples from the Prairie site. I anticipated breeding area to have an effect on NNI profiles, but no relationship was detected. These findings demonstrate that exposure to agrochemicals may occur both within and beyond agricultural areas. Overall, my study highlights the importance of an annual cycle approach to understanding contaminant exposure in a migratory species, as my results indicate that Horned Grebe are likely more limited by conditions on breeding areas than by those on their non-breeding range. I recommend that conservation efforts, such as protection of critical habitats, should therefore focus on breeding areas to maximize benefits for Horned Grebes.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».