National screening-level risk assessment (SLRA) of Goldfish, Prussian Carp, Chain Pickerel, and Black Crappie in Canada
Notice bibliographique
Résumé
Aquatic invasive species (AIS) are species introduced or spread to ecosystems beyond their natural range that threaten biodiversity, economy, and society. Recently, four freshwater fishes were identified as being of concern for Canadian freshwaters: Goldfish (Carassius auratus), Prussian Carp (Carassius gibelio), Black Crappie (Pomoxis nigromaculatus) and Chain Pickerel (Esox niger). The latter two species are native in some regions of Canada, while the carps are strictly non-indigenous. All four species currently have at least one non-indigenous population established in Canada and are undergoing range expansions. A screening-level risk assessment (SLRA) was performed using an adaptation of the Canadian Marine Invasive Screening Tool (CMIST) to identify the level of risk (high, moderate, or low) of these four species across freshwater ecoregions in Canada. SLRAs help decision-makers identify which species pose substantial threats to native species/ecosystems and which may consequently require detailed-level risk assessments. Of the four species assessed, Goldfish presented the highest invasion risk across Canada, especially in southern ecoregions. Prussian carp was a high-risk species in ecoregions within Western Canada and invasion risk of both carps was moderate in all remaining ecoregions. Chain Pickerel was of high risk in New Brunswick and Nova Scotia (and moderate elsewhere, but low in the Arctic), while Black Crappie was of moderate risk everywhere except the Arctic (low risk). High frequency of arrival and a strong potential for dispersal via anthropogenic mechanisms can be correlated to the presence of established AIS populations within an ecoregion (or adjacent ecoregions), because established AIS populations increase future introduction potential. These three correlated factors were the primary likelihood of invasion drivers underpinning risk predictions in this work. Evidence in the literature of impacts on populations, communities, ecosystem functioning, and habitat in their native or invaded range were the primary impact of invasion factors which contributed to elevated final risk levels. A lack of information on the impacts of Black Crappie invasion lowered its risk levels and associated certainty, showing that the availability of information (e.g., on impacts and dispersal mechanisms) played an important role in final determinations of risk. For all four fishes across Canadian ecoregions, some uncertainty in the data means that assessments of moderate risk may reflect the middle point of two potential extremes (i.e. high and low), but true risk may be anywhere from high to low. Low risk is unlikely to be no risk, but nor is it likely to be high risk. Consequently, heatmaps showing risk levels should be used in conjunction with biplots of likelihood and impact scores in order to understand the range in scoring and the certainty associated with likelihood and impact of invasion scores underpinning risk for each fish in each ecoregion. High uncertainty around anthropogenic introductions and activities and the spatial scales over which they operate contribute to greater uncertainty of the risk level for all fishes. Detailed-level risk assessments at finer spatial scales may be pertinent to complete for each species and ecoregion identified here as at high risk for invasion.
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 | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».