The effect of increasing ambient salinity on the heart rate and osmoregulatory ability of the invasive crayfish, Orconectes sp.
Bibliographic record
Abstract
Increased physiological tolerances to environmental factors such as salinity have been demonstrated to contribute to the success of invasive species.This study sought to investigate the salinity tolerance of Orconectes sp.(invasive to North America and Europe) as a method of characterizing a possible source of this genus' success.Heart rate and hemolymph osmolarity were measured in response to increasing environmental salinity.The results show that Orconectes sp. is an imperfect hyper-regulator of hemolymph osmolarity in up to 600 mOsm environments, at which point it transitions to be a slight hyporegulator.The heart rate of Orconectes sp. was affected only as the crayfish transitioned from 455 mOsm to 751 mOsm environmental osmolarity (50-75% sea water), at which point heart rate decreased.This, combined with elevated mortality rates in highly saline environments suggests that Orconectes sp. would not be able to extend its range to include brackish water or marine environments.However, its moderate tolerance may allow it to cross saline barriers to find novel freshwater environments or find habitats in areas with unstable salinity levels.
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 | 0.000 | 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) | 0.001 | 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".