Biological benchmarks for the Canadian-origin Yukon River mainstem chinook salmon
Notice bibliographique
Résumé
Recognizing the extended time period that Canadian-origin Yukon River Chinook Salmon have been managed under an interim escapement goal, the Yukon River Panel sought to explore the possibility of establishing a biologically based escapement goal for the Canadian-origin Chinook Salmon stock aggregate, excluding the Porcupine River drainage. As a first step in this process, the Joint Technical Committee undertook a quantitative review and analysis of available data to estimate Canadian-origin Chinook Salmon run size and productivity. Commonly used biological benchmarks, and uncertainties in them, were estimated from an integrated run reconstruction and spawner-recruitment model fitted to data spanning 1981- 2019 from various assessment projects that estimate in-river abundance, harvests, tributary escapements, stock-proportions, and age-composition. Equilibrium stock size (SEQ) was estimated to be 111,131 (81,595-252,704, posterior median and 95% CRI), the spawner abundance expected to maximize long-term sustainable yield (SMSY) was estimated to be 43,364 (29,764-97,664) and the spawner abundance expected to maximize recruitment (SMSR) was estimated to be 70,834 (40,638-192,642). SGen was not estimated for the stock aggregate as it is only relevant at the scale of populations. Inference about expected yield and recruitment across a range of future spawning escapements along with probability profiles were estimated to inform future management decisions (Figure 4). These analyses provide a quantitative foundation upon which to base the development of a Canadian stock aggregate escapement goal recommendation, but they do not prescribe one. Key considerations when developing an escapement goal include defining its objectives and decision context, identifying the magnitude of acceptable risk of not meeting stated objectives, and identifying key uncertainties and trade-offs to help ground the degree of precaution that should be taken when establishing an escapement goal in the face of imperfect information. Female Chinook Salmon age-of-maturity, and to a lesser extent the proportion of females in the spawning population, has declined over time (Figure 5). Since expected reproductive output per spawner is a function of these quantities, accounting for these characteristics was estimated to cause an average increase in the spawner abundance expected to maximize yield (SMSY) or recruitment (SMSR) by up to 14% and 22%, respectively, in recent years relative to baseline results. As an emerging area of research, these results represent an initial attempt to account for time-varying demographic changes for this stock aggregate and have been identified as an area of future work. Uncertainties in the estimated benchmarks arise, in part, from challenges in accurately estimating total run size, harvest, and escapement for the Canadian stock aggregate. These challenges include potential biases stemming from: bycatch in marine fisheries, hatchery contributions, contributions from other Canadian stocks (Porcupine River), uncertainty of U.S. and Canadian harvest, unaccounted en route mortality, and pre-spawn mortality (Table 2). Additional uncertainties include the structural form of the assumed spawner-recruitment relationship and the spatial scale at which processes such as density dependence occur which may influence the estimation of biological benchmarks. Key uncertainties that relate to the management relevance of the benchmarks included biological risks of aggregate escapement goals for individual component populations of the Canadian stock aggregate, climate driven change (e.g., temperature, freshet timing, sea ice cover, disease, regime shifts), and time-varying demography that may result in the past no longer being a good predictor of the future. This bilateral U.S. / Canada work provides a new foundation of information that is anticipated to pay dividends and contribute to a wide range of research and management applications that would not otherwise be possible. Key recommendations for future work include: consequences of changes in escapement quality, consideration of biological risks to individual populations, Management Strategy Evaluation to evaluate the ability of alternative management strategies to meet a broad range of objectives in the system, and research into drivers and magnitude of en route mortality and their consequences for management advice.
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 | 0,007 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| 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 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 ».