Biofouling growth risk assessment on Atlantic Salmon (Salmo salar) farm nets: exploring links to environmental factors
Notice bibliographique
Résumé
Recently, salmon aquaculture companies in British Columbia, Canada, have experienced significant fish losses resulting in tens to hundreds of millions of dollars in damages due to gill disorders and mouth lesions. Hydroids, the colonial stage of some cnidarians, are the most likely problematic species. Field studies were conducted to examine biofoulant composition, gill health, and the interactions between water parameters, biofoulants, and gill health. In 2020, biofouling was observed at two fish farm sites in the Broughton Archipelago from April 20 to October 30 by suspending 30x30 cm net patches at five depths (1, 5, 10, 15, and 20 m). Net patches remained in the water for 1-3 weeks between pen cleanings (via power washing). After collection, the biofoulants were identified and counted, with hydroids removed and weighed separately. In addition, tow samples were collected weekly to identify any free-swimming stinging-capable species. Biofoulant compositions were mainly composed of Mollusca (mostly Mytilus sp.) and Arthropods (mostly Harpacticoids), hydroids were mostly composed of Obelia sp., and tow samples were composed of mostly medusa-form Obelia sp. GLMMs were built to examine the relationships between the water parameters and the biofoulant species counts, hydroid biomass, and tow sample counts. Both sites saw nearly every parameter significantly associated with biofoulant counts, with the effects stronger at Wicklow Point. Similarly, nearly all parameters were associated with hydroid biomass, however the effects were stronger at Doctor Islets. Only two (ammonia and nitrate levels) and one (ammonia) parameters were associated with the counts of sting-capable species in the tow samples from Doctor Islets and Wicklow Point, respectively. CLMMs were built to examine the relationships between gill health, biofoulant counts and biomass, and water parameters. Iron, nitrate levels, and pH were significantly associated with gill health at Doctor Islets, and temperature, pH, and dissolved oxygen were significant at Wicklow Point. No biofoulant species counts or hydroid biomass from the net patches were associated with gill health, however, when the gill health scores were sampled after a net patch collection gill scores were significantly higher at both sites. At Doctor Islets, no stinging-capable species counts were associated with gill health and at Wicklow Point, counts of Sarsia sp., Bourgainvilla sp., Clytia gregaria, and Diphydae spp. were significantly associated with gill scores. Like the net patch samples, when gill scores were recorded after a tow collection, gill scores were significantly higher.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».