Bibliographic record
Abstract
In Canada, the current distribution of Kidneyshell is limited to the Ausable River (Lake Huron drainage) and the Sydenham River (Lake St. Clair drainage). Current evidence indicates that the species is extirpated from the Detroit, Grand, Niagara, St. Clair, and Thames rivers, Lake St. Clair, and Lake Erie. Kidneyshell is typically found in moderate to swift-flowing small- to medium-sized rivers or shallow lake areas in sand and gravel substrates. In Canada, Kidneyshell occupies medium rivers in relatively shallow depths (<1 m), moderate to swift currents, and a high proportion of gravel, sand, and cobble substrates. Kidneyshell larvae must encyst on the gills of a suitable host fish to survive and metamorphose into juveniles. The functional host fishes for Kidneyshell in Canada include Blackside Darter (Percina maculata), Johnny Darter (Etheostoma nigrum), and Logperch (P. caprodes), but may include other Percina spp. or Etheostoma spp. and Brook Stickleback (Culaea inconstans). Modeling projections indicate that achieving a 99% probability of persistence over 100 years requires ~5,250 (CI: 2,250–9,750) adult Kidneyshell. At current densities, this would require ~260 ha and ~50 ha of suitable habitat in the Ausable and Sydenham rivers, respectively. Habitat area is likely sufficient in both rivers, but with less certainty in the Ausable River. Positive population growth rates were observed in most sites in both rivers. On average, monitored sites in the Ausable River exhibited 7% growth per year (CI: 2–13%) based on five sample areas in each of three time periods between 2006 and 2019, while sites in the Sydenham River exhibited 13% growth per year (CI: 11–15%) based on 10 sampled areas in each of two or three time periods between 1999 and 2022. Overall, the abundances are interpreted to be stable in the Ausable River, and increasing in the Sydenham River. Kidneyshell populations are generally most sensitive to perturbations in adult survival. They may become more sensitive to perturbations to juvenile survival under higher population growth rate and later maturity. The Ausable River population is predicted to be more sensitive to perturbations in adult survival because of its current lower population growth rate. Dreissenid mussels are the likely cause of extirpation of Kidneyshell in the Great Lakes and connecting channels, including the St. Clair River, Lake St. Clair, Detroit River, and Lake Erie. Agricultural and urban land use, dams, and other historical habitat modifications likely contributed to extirpations in the Thames and Grand rivers. Presently, a number of threats, including agricultural and urban sources of pollution, aquatic invasive species, and climate change are contributing to habitat degradation. Current threats appear not to be causing population-level declines in extant localities, but localized impacts below the population level may be occurring. The cumulative effect of threats and their interactions are poorly understood. Recent research suggests greater impacts from certain combinations of threats than individual threats on their own. Key knowledge gaps remain regarding life history parameters (e.g., age at maturity, juvenile survival); larvae-host relationships; habitat preferences by life stage; population structure, abundance, and dynamics; and the magnitude, spatial extent, and impact of threats (individually and in combination).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.282 | 0.182 |
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 source (direct Gemma or distilled Codex), 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".