A new tool for setting biodiversity management priorities adapted from aquatic invasive species management: A pilot using Atlantic salmon ( <i>Salmo salar</i> ) in <scp>NS</scp> , Canada
Notice bibliographique
Résumé
Abstract Aquatic invasive species (AIS) are a leading cause of global loss of biodiversity. However, the relationships between AIS and vulnerable species (e.g. species at risk and endemic species) are not well‐documented and few studies have combined risk of AIS invasion with species distribution modelling of vulnerable species. An integrated management approach was developed and applied to assess the effects and risks of AIS on Atlantic salmon ( Salmo salar ) in Nova Scotia (NS), Canada. A semi‐quantitative risk assessment tool was used to evaluate the risk of introduction, establishment and ecological impact of eight AIS currently found across NS. A suitable habitat for Atlantic salmon was predicted using a random forest model and identified watersheds of high conservation value. A vector‐based screening‐level risk assessment was developed to determine the relative risk of potential vectors introducing AIS into each primary watershed in NS, alongside other anthropogenic pressures. Finally, a matrix was developed to provide recommendations to AIS managers based on species invasion stage and invasion risk score. Results from this study showed that ecosystem engineer species (e.g. crayfish and invasive plants) were more likely to affect invaded ecosystems, but were less widely reported in NS While invasive piscivores (e.g. chain pickerel [ Esox niger ], smallmouth bass [ Micropterus dolomieu ]) had less potential ecosystem impacts, they were more widely reported in the assessment area. Hitchhiking on watercraft and fishing gear were the riskiest vectors for continued spread of AIS in NS. The AIS Management Matrix supports recommendations of scenarios in which AIS could be eradicated or where response plans may be developed to control, contain and respond to new introductions. The Herring Cove Medway and the Salmon Mira were the top two watersheds recommended for Atlantic salmon conservation and AIS control or prevention based on habitat conservation value. Water temperature and physical changes to freshwater habitat (especially adjacent land use) were the model variables that were most important to predict Atlantic salmon habitat suitability. At a time of heightened global biodiversity loss, but limited dedicated conservation resources, the integrated management approach developed in this study can be applied to recommend geographically specific actions to managers for strategic vulnerable species conservation planning and AIS management.
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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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».