Ecological thresholds of the Chinese mystery snail (Cipangopaludina chinensis) in relation to Nova Scotia environments
Bibliographic record
Abstract
The Chinese mystery snail, Cipangopaludina chinensis, is a non-indigenous, potentially invasive aquatic species found throughout North America.They are highly fecund and viviparous, birthing live young.These features make them a potential threat to biodiversity and ecosystem function.To better understand the potential spread of C. chinensis in Nova Scotia, the ecological thresholds for different environmental parameters need to be established.Here, I focused on salinity, pH, and temperature using field and laboratory approaches.The salinity tolerance [(0, 5, 10, 15, and 20) ppt], and pH tolerance (pH 4, 5, 6, 7) were tested in a 2-week and 4-week laboratory experiment, respectively.The migration patterns of C. chinensis were monitored bi-weekly at three Halifax Regional Municipality lakes with temperature measurements.Migration monitoring was done in spring and summer, conducting surveys of the relative frequency of snails found at various depths to estimate the seasonal migration pattern of the snails.C. chinensis did not survive in salinity concentrations 10 ppt or higher, but did survive in 0 ppt and 5 ppt.This suggests C. chinensis could inhabit freshwater to brackish water.There was some mortality with juvenile C. chinensis in low pH conditions, and further research is recommended to establish the pH threshold for at least one life cycle of the snails.The snail migration surveys show the snails are typically found in shallow water when the surface water temperature is 20⁰C and above, and in deeper water when the surface water temperature is 20⁰C and below.This research suggests the ecological tolerances of C. chinensis may allow for the species to spread into vulnerable ecosystems in Nova Scotia not previously considered as a suitable habitat, including brackish estuaries and acidic dystrophic lakes.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".