Characterization of the effect of hypoosmotic stress caused by coastal floodings on the physiology and behaviour of the Green Sea Urchin
Bibliographic record
Abstract
Understanding how osmotic stress affects the performance of marine organisms is essential to produce sound predictions about the functioning of estuarine and coastal ecosystems with floods being more frequent and intense due to global changes. The green sea urchin Strongylocentrotus droebachiensis, an important top-down controller for coastal macroalgae, prefers salinities between 25 and 30; > 7 days at salinity 15 being its documented tolerance limit. Consequently, we aimed to characterize the effects of hypoosmotic stress on the physiological and behavioural responses of sea urchins during periods of flooding. We conducted a laboratory experiment along a gradient of six salinities (10, 13, 16, 20, 24 and 28 ppt), for one and two weeks. We evaluated survival, coordination performance of podia, podia adhesion, feeding rate, excretion rate, and coelomic fluid acid-base and osmotic balance following these exposure phases and following three days of recovery under control salinity conditions (28 ppt), . Urchins exposed to salinity 10 and 13 ppt experienced mortality throughout exposure, whilst survival was not compromised at salinities 16 to 28 ppt. Our results confirm an alteration of the physiological status of urchins via acid-base and osmoionic alterations and a reduction in feeding and excretion rates indicating behaviour modification. These imbalances were accompanied by a reduction in podia coordination and adhesion strength, which can lead to easier dislodgment due to waves or predators. This could ultimately lead to compromised survival and ecosystem consequences.
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".