Quantifying changes in the Distribution of Atlantic Cod and Yellowtail Flounder on Georges Bank
Notice bibliographique
Résumé
Georges Bank (GB) has historically been one of the world’s most productive fishing grounds. Several formerly abundant groundfish stocks have experienced declines that have resulted in the cessation of directed fisheries. Subsequently, management agencies in both Canada and the United States (U.S.) have implemented various restrictions in an effort to rebuild these stocks; these restrictions include the implementation of closures. Yellowtail Flounder (Limanda ferruginea) and Atlantic Cod (Gadus morhua) are two groundfish stocks that have substantially declined and the rationale for closures on GB has included the need to protect these stocks. In the U.S., these closures are larger and focus more broadly on rebuilding these and other stocks on GB, while in Canada the closures are smaller and directed towards the protection of these two stocks during spawning. This document presents temporally variable species distribution models for these two stocks using a suite of static environmental covariates and presence-absence information from groundfish trawl surveys in Canada and the U.S. These models indicate that there have been both seasonal and long-term shifts in the distribution of both stocks. Significant predictors of the distribution of both stocks throughout the year were the average Sea Surface Temperature (SST; average from 1997-2008) and depth (Dep), while sediment type (Sed) was also a significant predictor for Yellowtail Flounder. The seasonal distribution of the core area of Atlantic Cod is similar in the late winter and spring, while in the fall the distribution shifts to the edge of the bank. For Yellowtail Flounder, the core area is found in a similar location throughout the year. The distribution of Atlantic Cod differed approximately every five years, while the Yellowtail Flounder distribution differed every three years. These shifts in distribution are not random, with the centre of gravity of the core areas for both stocks shifting to the northeast throughout the study period. Much of this shift is due to the loss of core area from southern and western portions of GB. The shifts in the distributions have resulted in an increase in the proportion of both stocks in Canadian waters throughout the year. During Atlantic Cod spawning there has been a substantial decline in the core area inside the two large closures in the U.S. In recent years, Yellowtail Flounder have predominately straddled the Canada-U.S. border; during spawning, the proportion of core area observed in Closed Area II (U.S.) has steadily increased to almost half of the total core area on GB. In Canada, the closures to protect Atlantic Cod and Yellowtail Flounder during spawning both predominately include core area, but due to their limited size these closures make up only a small proportion of the core area on the Canadian portion of GB. Finally, during spawning, the models for both stocks were successful at capturing the spatial dynamics up to three years into the future. The framework methodology applied here provides novel insights into both seasonal and inter-annual variability in the spatial distributions of these stocks and provides a quantitative evaluation of closures relative to these distributions. Incorporation of the information from approaches such as this into the science advice process, can facilitate improved decision-making for fishery management.
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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 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 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 ».