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Enregistrement W7133288650

Pacific Estuary Assessment

2023· other· en· W7133288650 sur OpenAlexaboutno aff
Fisheries and Oceans Canada, Pêches et Océans Canada

Notice bibliographique

RevueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada · 2023
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEstuaryEcosystemWatershedPopulationClimate changeHabitat
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Estuaries are highly productive and diverse ecosystems that are the site of many anthropogenic activities. While only comprising 3% of the British Columbia (BC) coastline, there are over 400 individual estuaries, making management difficult and highlighting the need for regional approaches. A literature review was used to compile anthropogenic activities, including climate change and other associated stressors (physical, chemical, or biological processes that have the potential to change an ecosystem) relevant to estuarine environments throughout the BC coast across terrestrial, marine, and atmospheric zones. Based on the literature review, 45 available coastwide spatial data layers were compiled and used to assess the spatial overlap, frequency, or intensity of activities and stressors relevant to 439 estuaries and their associated watersheds. All estuaries assessed had at least one marine or terrestrial activity present. The most marine activities were identified in estuaries in the Strait of Georgia and the Skeena River estuary, while the most terrestrial activities occurred in estuaries in the Strait of Georgia, the Skeena River estuary, the Kitimat estuary, and estuaries along the west coast of Vancouver Island closer to population centers. A cluster analysis was used to characterize the estuaries based on the type and intensity of activities that occur. Five clusters of estuaries and the associated characteristic activities were identified. The analysis identified one cluster of estuaries that had high numbers of anthropogenic activities and tended to be associated with activities in the watershed (e.g., agriculture, dams) or that were associated with populated areas (e.g., wastewater outflow, marinas). The other four clusters were associated primarily with marine activities. Two clusters had intermediate numbers of activities, one with more forestry and crab and shrimp fishing, and the other having more salmon fishing. The last two clusters had low numbers of activities - one cluster was associated with shipping and recreational boating, and the other had no association with any one activity. Climate change (air temperature change, stream temperature change, precipitation change, and/or sea level rise) is expected to impact all estuaries to varying extents. In particular, the highest degree of stream temperature increase is expected in estuaries at the end of long inlets (e.g., Bute Inlet, Observatory Inlet). The estuaries that are projected to experience the highest degree of sea level rise are around Haida Gwaii. Available coastwide spatial data for salmon, other ecologically significant fish species, sensitive fish habitat, and other habitat characteristics (e.g., presence of eelgrass, macroalgae, and saltmarsh) was compiled. The presence of fish and fish habitat varied among estuaries. There were observations of at least one species of Pacific salmon since 1990 for 76% of the estuaries, and 20% of the estuaries had all five species present. Estuaries with the highest salmon biomass and richness were associated with the most human activities. Dungeness Crab was likely present in 84% of the estuaries. Eelgrass was present in 43% of the estuaries, understory kelp in 82%, and saltmarsh in 81%. All three biogenic habitat types were present in 36% of the estuaries. The assessment of fish and fish habitats highlighted coastwide data gaps, which limited the assessment of all species/habitats of interest, particularly for non-commercial species. This analysis provides a significant data resource and initial assessment to help focus further estuarine conservation and management efforts. It can be used to identify estuaries that face similar types of concerns, potential management options, and relevant partners and resource users. This work is the first step towards a comprehensive assessment of how human activities may combine and cumulate to impact estuaries. Although this work is not a cumulative impacts assessment, future analysis could combine the outputs from this work with vulnerability scores of individual estuarine species to quantify an overall risk to each estuary.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,697
Score d'incertitude au seuil0,603

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0050,009
Études des sciences et des technologies0,0010,000
Communication savante0,0020,001
Science ouverte0,0010,002
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0220,004

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.

Tête enseignante Opus0,010
Tête enseignante GPT0,255
Écart entre enseignants0,244 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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