Does Mitigation Achieve Conservation? Evaluating the effectiveness of freshwater mussel species-at-risk translocations in southwestern Ontario
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Freshwater mussels (Unionidae) serve as critical structural and functional links for aquatic food webs and are effective bioindicators, but large numbers of species are declining globally, with many in Canada federally listed as species-at-risk of extinction (SAR). Restricted in dispersal ability due to their sessile nature, Unionidae are incredibly vulnerable to human activities such as river infrastructure projects like bridge construction, culvert replacements, and earth moving activities adjacent to waterbodies. Therefore, translocation efforts involving freshwater mussel populations are commonly conducted as a mitigation response under the federal Fisheries and Species at Risk Act which protects freshwater mussels. Since publication of the Mackie protocol in 2008, practitioners have been required to follow standard practices to ensure translocation success, however little to no follow-up has been done to evaluate the effectiveness of this practice. To begin to assess translocation success, we have received privileged access to several translocation reports spanning 15 years from which we have conducted a data synthesis. In addition, multiple sites of previous translocations in the Grand and Thames River watersheds located in southern Ontario were surveyed during the 2022 field season. Findings indicate that mussel communities do not fully recover following translocation, negatively affecting the population density and biodiversity of communities instead of conserving and protecting them. Moreover, it appears that critical habitats do not fully recover, even 15 years post impact. We offer data and insights to inform changes to the practice of translocation to hopefully improve conservation of the species-at-risk and restoration of their critical habitats.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it