Unlocking the archive: using the biochemical and isotopic composition of fish scales to understand the marine phase of Atlantic salmon
Notice bibliographique
Résumé
The Atlantic salmon is a species of great importance culturally, economically and ecologically. Recent declines suffered by many populations have been linked to marine mortality, therefore a better understanding of the marine phase is needed to inform management decisions, slow population declines, and protect this iconic species. The overall aim of this research was to develop, validate and apply methods that unlock the information contained in Atlantic salmon scales to enhance our knowledge of the marine phase. Fish scales incorporate biochemical and isotopic signatures as they grow, acting as a chronological record of the fish’s life history. Large, multi-decadal archives of Atlantic salmon scales are held by many organisations, containing vast amounts of data to be explored. Stable isotopes of scales can be used to examine the diet, origin, and trophic level of prey of a fish, but inorganic carbonates on the scale surface can confound results. The carbon isotopic ratio (δ13C) of acid-treated and untreated scales from 208 Atlantic salmon was analysed. Acid-treatment had a negligible effect on (δ13C) and therefore does not need to be performed prior to stable isotope analysis (SIA) of Atlantic salmon scales, saving scale material, time and money. A recent isotope-based geolocation tool suggests that the marine feeding location of salmon can be determined by correlating a time series of scale δ13C with sea surface temperature (SST). To validate the method, SIA of archived scales from 100 fish (10 years of a 50-year period) caught at their feeding grounds west of Greenland was completed. The highest area of correlation between scale δ13C and SST, the Labrador Sea, accurately represented the foraging location of the fish. This validation allows the results of the geolocation tool to be interpreted with increased confidence. Cortisol, the most commonly measured stress hormone in fish, was recently extracted from fish scales as a measure of chronic stress. In this thesis, the method was adapted for use on Atlantic salmon scales and used to extract cortisol from the scales of 156 experimentally reared post-smolts that were exposed to 3 temperatures (6, 10.5 and 15°C) and varying starvation stressors. Cortisol increased significantly in fish kept at 15°C. Fluctuations occurred in fish at 6°C and in starved fish at 10.5°C, but a larger sample size is needed to determine the significance of these results. This research determined that scale cortisol is a suitable biomarker for temperature stress in Atlantic salmon and, due to optimisation to require lower weights of scale material, may open this method up to a wider range of species and life stages. Using the method, the stability of cortisol was confirmed in archived scales, then cortisol was extracted from 120 archived scale samples (6 years over a 29-year period). No interannual trends were detected, and individual variability appeared to drive the differences in cortisol. Combining cortisol data with other analyses could help understand the factors affecting scale cortisol in Atlantic salmon. This research illustrated the value of scales for examining the marine phase of Atlantic salmon, which may be key to preventing further declines. The methods developed and validated in this thesis can be used to determine marine feeding location and to examine the response of salmon to stressors experienced during their life cycle.
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 | 0,001 | 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 | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 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 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 ».