Monitoring framework for SK-B MPA
Notice bibliographique
Résumé
The SG̲áan K̲ínghlas-Bowie (SK̲-B) Seamount Marine Protected Area (MPA) (Figure 1) is co-managed by the Haida Nation and the Government of Canada to conserve and protect the unique biodiversity and biological productivity of the area. In 2019, the SK̲-B MPA management board published the management plan detailing the ecological conservation goals and objectives of the MPA. In the associated research document (Du Preez et al. in prep1), a monitoring framework is proposed summarizing the ecological monitoring options. It provides an ecosystem review and lists indicators (ecosystem components and metrics), protocols (tools), and strategies related to the SK̲-B MPA conservation objectives. Indicator groupings were generated for biological, environmental, and stressor ecosystem components, incorporating anticipated changes and specific indicator species where appropriate. Metrics for monitoring indicator groupings were described, then linked to standard protocols and strategies (i.e., tools and programs) used in the respective scientific fields (e.g., ecology, geology, oceanography). Information and best practices for designing a monitoring program, such as existing baseline data, statistics, sampling design, feasibility, and data management were also discussed. Trophic structure and ecosystem function were examined through a conceptual food web model. The proposed monitoring framework was then evaluated against the ecological conservation objectives to support adaptive and iterative re-evaluation of plans as an essential part of the MPA management process. The key result of the monitoring framework was connecting the four major components (i.e., the ecological objectives and the monitoring indicators, protocols, and strategies; Figure 5 and Table 1). Priorities and combinations were recommended to address the six ecological operational objectives, with the caveat that some information is unknowable at this time and that new or improved information (e.g., resolved through monitoring) should feed back into the frameworks and plans. While the SK̲-B MPA seamounts are some of the best-studied seamounts in the Northeast Pacific, monitoring of the area is still in its infancy, and there are many uncertainties and knowledge gaps. Limitations of the monitoring framework include the remoteness and size of SK̲-B MPA and the lack of comparable reference sites. Some uncertainties were handled in the associated research document (Du Preez et al. in prep1) by grouping potential ecosystem component indicators. Other uncertainties can be addressed through revisiting the management plan at a future date as part of an adaptive (iterative and responsive) management process. However, a lot of information is unknowable at this point but will potentially be resolved through continued and future baseline monitoring and research (e.g., past, current, and anticipated states, including natural variability, especially as they relate to existing and future climate change impacts). Other uncertainties related to the monitoring framework include changes in the taxonomy of deep-sea species, future changes in sampling technologies, and biological responses to stressors (e.g., the nature of the disturbance, cascading effects, lag time, duration). Recommendations from the meeting include using the SK̲-B MPA monitoring framework to inform the development of a detailed monitoring plan (with stages of baseline and long-term monitoring), including a data management plan. It was highlighted that the future SK̲-B MPA ecological monitoring plan incorporates data and information collected by the other monitoring programs (e.g., on human activities, transient species, and climate change) to effectively interpret the cumulative effects of the conservation management measures, stressors, and unmanageable changes (i.e., beyond the scope of MPA spatial management). It was highlighted that extractive sampling, while contrary to the conservation goals, is likely essential for monitoring changes in trophic structure and ecosystem function. Metrics of gut content analysis and trophic biomarkers were proposed as additional methods for monitoring changes in trophic structure. It was noted that the SK̲-B MPA monitoring framework may support the development of monitoring frameworks and plans for other protected areas (especially in the case of the proposed large Pacific Offshore seamount and hydrothermal vent MPA to the south).
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 | 0,014 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,009 | 0,004 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,006 | 0,006 |
| Science ouverte | 0,004 | 0,005 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 0,006 |
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 ».