Strengthening recovery actions for Southern Resident killer whales
Notice bibliographique
Résumé
An ad hoc science panel was convened in Vancouver, Canada from March 4-6, 2025, to address the conservation and recovery of the endangered Southern Resident killer whale (SRKW) population – which, as of the July 2024 census, numbered only 73 individuals. The panel assembled 31 international experts from universities, government agencies, and NGOs across Canada, the United States, and the European Union to assess the efficacy and limitations of existing threat-reduction strategies, and propose new or revised measures. Their expertise covered a range of disciplines, including killer whale biology, health and behaviour, Chinook salmon ecology and habitat, underwater noise, ecotoxicology, and conservation policy, all in support of an ecosystem-level approach to the discussions. Prey limitation remains the primary constraint on SRKW recovery, and the panel deemed current government initiatives on both sides of the Canada - US border to address this issue to be insufficient. Their recommendations encompass maintaining SRKW priority access to Fraser River early stream-type Chinook salmon through fishing closures, identifying seasonal and annual Chinook abundance thresholds based on daily prey energetic requirements and implementing a management framework for late summer and fall if abundance thresholds are not met, and considering fishery management actions to increase Chinook salmon size and age at maturity. Undersea noise emanating from anthropogenic sources continues to pose a significant impediment to the population’s recovery, exacerbating the impact of prey limitation by interfering with echolocation and successful foraging. Consequently, the panel recommended the prompt finalization and implementation of meaningful underwater noise reduction targets that are biologically relevant to SRKWs. Additional recommendations included expanding the geographic and temporal scope of existing large vessel slowdown areas, establishing noise output standards for large commercial vessels, and increasing Canada’s small vessel avoidance distance from SRKW to 1,000 m without delay – harmonizing with the 1,000 yds (914 m) buffer already in effect in Washington State. A third risk factor, exposure to extremely high levels of contaminants, was also addressed. Specific recommendations include strengthening existing chemical regulations and their enforcement, the development of environmental quality guidelines for contaminants of greatest concern to SRKW and their primary prey, the enforced elimination of legacy polychlorinated biphenyls (PCBs) still in use in closed applications, and the introduction of new regulations and source control measures that will reduce contaminant releases into SRKW habitat or that of their anadromous prey. The panel emphasized that most of its recommendations could be implemented without further study, but nonetheless developed a targeted list of research priorities to assist in refining and informing additional conservation measures over time. These priorities include: establishing biologically consequential thresholds for poor body condition based on other health indicators; developing a refined index of salmon abundance that reflects salmon prey preferences; continuing studies on noise effects on foraging and investigating non-foraging impacts of noise on salmon; expanding prey fragment and faecal genetic sampling efforts to improve dietary insights; determining optimal soundscapes for salmon and quantifying loss of habitat quality from anthropogenic sound inputs; continuing social and demographic research to support understanding of population integrity; addressing knowledge gaps regarding the amount, type, and location of pesticide use and their adjuvants; and including longevity, trophic level, and habitat use as features to consider in the scrutiny and regulation of chemicals, pesticides, and pharmaceuticals.
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 | 0,013 | 0,016 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,009 | 0,003 |
| Communication savante | 0,004 | 0,002 |
| Science ouverte | 0,003 | 0,008 |
| Intégrité de la recherche | 0,007 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 0,002 |
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 ».