Relationships of sea ice extent and bottom water temperature with abundance of snow crab (Chionoecetes opilio) on the Newfoundland - Labrador Shelf
Notice bibliographique
Résumé
No abstracts are to be cited without prior reference to the author.It is widely believed that recent increases in crustacean resources, including snow crab, in Atlantic Canada are due to reduced predation (top-down effects). We advance an alternative hypothesis that snow crab production and early survival are regulated primarily by effects of ocean climate variation (bottom up effects) during early life history. We address this hypothesis by using time series analysis to establish relationships between recruitment indices and ocean climate indices at various time lags. We selected two indices of ocean climate variation, one to represent effects on epipelagic larval stages (ice coverage) and another to represent effects on early benthic stages (bottom temperature). Using catch per unit effort (CPUE) from the commercial snow crab fishery as our index of snow crab abundance we applied an autoregressive, integrated moving average (ARIMA) procedure with environmental input (transfer function) to explore relationships between biological production or early survival and changes in ocean climate. The procedure facilitated cross-correlation analysis between CPUE and each environmental index (corrected for autocorrelation) for each of four fishery areas. The approach was extended for our longest time series using ice coverage to illustrate how ocean climate variables can be incorporated into predictive models. We also compared our CPUE index with an index of predation - survey biomass of Atlantic cod (Gadus morhua). Our results showed consistent correlations for each of the ocean climate indices and across all areas. CPUE was positively correlated with ice cover for all three areas that are affected by ice, at lags of 8-10 years, approximating age at recruitment. These correlations were significant for the two longest time series, while there was no relationship for a fourth, most-southern area, that is unaffected by ice cover. Consistent negative relationships were found between CPUE and bottom temperature for all four areas, at lags generally one year shorter than the corresponding CPUE-ice relationships, although none were significant. Crabcod relationships were not significant, the cod index being unidirectional. We conclude that abundance is regulated primarily by effects of ocean climate variation on early life history stages. Cold conditions in early life favor production or survival at either or both pelagic and early benthic stages but functional relationships remain unknown
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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) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 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) | 0,006 | 0,001 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».