Vessel biofouling as a vector for nonindigenous species introductions in Canada
Notice bibliographique
Résumé
Biofouling is the accumulation of organisms (such as algae, mussels, barnacles, and other taxa) on underwater surfaces. Biofouling on vessels is seen as undesirable, as it reduces vessel fuel efficiency through increased drag, and has potential to transfer organisms over long distances to locations outside their natural biogeographic region. Compared to other vectors that transfer aquatic organisms, such as ballast water, biofouling is relatively understudied despite being a major contributing vector of aquatic nonindigenous species (NIS) to coastal ecosystems globally. As a result, Transport Canada requested science advice from Fisheries and Oceans Canada, seeking an updated national assessment of the probability of NIS introduction and establishment via biofouling on vessels, to inform the development of biofouling management policies. This study used a multistage mechanistic model (a multiple-step model describing the parts or stages of the invasion process) to assess the probability of introduction and establishment of NIS into Canada based on one year of data on first arrivals of foreign-flagged commercial vessels. The stages in the model included arrival, survival, and establishment of NIS, but throughout this document the term ‘establishment’ denotes the cumulative success through all three stages to result in a self-sustaining population in Canadian waters. Separate assessments were conducted for vessels’ main hull surfaces and combined niche areas (such as the sea chest, propeller, and thruster tunnels, where biofouling may be more concentrated). Results were summarized for the four coastal regions of Canada based on the destination/arrival port of the vessels: Atlantic, Pacific, Great Lakes-St. Lawrence River, and Arctic regions. The model parameters were based on empirical vessel biofouling and environmental data, as well as estimates of biological processes with variability introduced. Estimates of mean NIS primary establishments per year via vessel hulls ranged from <1 (Arctic region) to 2.2 (Pacific region). Similarly, the mean number of trips until at least one NIS establishment is successful via the hull ranged from 94 (Pacific region) to 174 (Great Lakes-St. Lawrence River region). Primary NIS establishments via vessel niche areas were generally higher than those associated with the hull, with the highest species establishments per year being 8.4, with 23 trips until establishment occurs (Pacific region). While there is uncertainty associated with these estimates, these results indicate a meaningful probability of NIS establishments by vessel biofouling in all regions of Canada. The Atlantic and Pacific coasts are expected to receive the greatest numbers of NIS establishments, driven by the higher number of vessel arrivals to these regions. NIS establishment rates via the main hull areas of vessels were lower compared to niche areas, with the niche areas (all combined) having higher abundance of biofouling but smaller wetted surface area. Vessel biofouling should be considered as a dominant, active vector for introduction of NIS to Canada.
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 | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».