The Real and Potential Impacts of Invasive Crayfish in Ontario Canada: A Review
Bibliographic record
Abstract
Abstract Crayfishes in the Genera Procambarus, Pacifastacus, Faxonius, Cherax, and Cambarellus were evaluated for their potential impacts and overall invasion risk in Ontario. Of the ten species evaluated, six have been found to have potential high impact. Crayfishes in the genus Procambarus pose the greatest risk as they have the greatest potential for negative impacts on native species and habitats. Three of the species have already recently been detected in Ontario. A single population of P. virginalis in the city of Burlington is the first of this species in Canada and North America. Procambarus acutus appears to be well-established in both the Lake Erie and Lake Huron watersheds while P. clarkii has also been most recently reported in Southern Ontario. The invasive Faxonius rusticus is well established and still expanding in Ontario and has displaced native crayfishes in large parts of the province while F. limosus appears poised to expand into Ontario. It is recommended that a different set of regulations be drafted and applied to all introduced species in Ontario, including the already present species (F. rusticus, F. obscurus, P. acutus, and P. virginalis) as well as any future introduced species of crayfish. Education and outreach for anglers, naturalists, and the general public is recommended as an effective way of preventing the introduction and spread of invasive crayfishes. For crayfish which are already well established or recently detected in Ontario, management efforts should focus on containment of any further spread. Citizen science contributions to on-line databases, such as iNaturalist and EDDMapS, are also crucial in tracking introduced species in the province. Priority should be given to safeguarding remnant populations of native crayfishes, especially in areas dominated by introduced species. Headwaters of streams and rivers, as well as isolated lakes and small wetlands, are well suited for this type of conservation management.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".