Chum salmon catch per unit, CPUE, collected from small vessel Nita Maria in Strait of Juan de Fuca from 2020-09-29 to 2020-11-06 (NCEI Accession 0284463)
Notice bibliographique
Résumé
This dataset contains only the final cruise report on chum salmon survey in Strait of Juan de Fuca in autumn 2020. The project plan for 2020, the fifth year of the project, was very similar to previous years. Once approvals were obtained for clearance to fish in both US and Canadian waters, the vessel Nita Maria was chartered to fish based on a 4day per week schedule (2 days in Canadian waters and 2 days in US waters) for a 6 week period starting the 1st week of October 2020. Through the initial work on the ChumGEM reconstruction model, it was very apparent that the diversion of Chum salmon stocks through the southern route (Strait of Juan de Fuca) was a significant gap in our information needed to populate the model. Currently the model structure is available to incorporate this information but the assumptions on the migration pathways being used require investigation and validation. The purpose of this project was to work towards addressing that data gap by sampling this migration route in both US and Canadian waters to determine: • The spatial and temporal stock composition of Chum salmon migrating through the Southern Diversion route, • Provide sampling platform for stock identification, migration rate studies etc. • Develop time series of Catch per Unit effort data to pair with the Johnstone Strait Test Fishery to determine diversion rate of various Chum populations. The program began as planned on September 29th and ran until November 6th. A total of 129 sets were completed (70 in Canadian waters and 59 in US waters). A total of 4,302 Chum were encountered and 1,794 were sampled for stock id and other biologicals. The Catch per Unit Effort (CPUE) was stronger in general on the Canadian side, similar to what was seen in 2017 and 2018. The catch information demonstrated a peak timing on the Canadian side of the Strait during week 43. Timing on the US side is problematic in 2020 as scheduling and weather issues during week 43 on the US side resulted in insufficient sampling. Over the period of the program, Chum CPUE was always higher in in Canadian waters than in US waters. Stock composition information demonstrated that Canadian Chum stocks dominated the samples throughout the Canadian waters similar to previous years. US Chum stocks in Canadian waters varied in composition but increased later in the program. In US waters, US Chum stocks dominated the mixtures throughout the program. Stock timing and distribution differences were observed and this new information has improved our understanding of Chum stock composition and timing through the migratory pathways of Juan de Fuca Strait. Weekly target sample sizes were generally achieved in Canadian waters up until the last week of the program when Chum CPUEs dropped off. In US waters lower CPUE was encountered throughout the season and weekly sample targets were only achieved in weeks 41 and 42. It is hoped that with additional years of Chum CPUE data from this Southern approach (through Juan de Fuca) it will help to improve the existing relationship between Chum CPUE and abundance that exists for the Northern Approach (through Johnstone Strait). This cruise is U.S. State Department MSR U2020-012 as part of the World Data Service for Oceanography. Report is in PDF.
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 | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,004 |
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 ».