Diet and distribution of green sea urchins (Strongylocentrotus droebachiensis) on the northeast Newfoundland coast: the influence of spawning capelin (Mallotus villosus)
Bibliographic record
Abstract
Spawning capelin (Mallotus villosus) provide a pulse resource of fish eggs and dead fish on the northeast Newfoundland coast, bringing an abundance of nutrients into the system that can be relied upon by numerous predatory and scavenging species. I investigated how this annual resource pulse influenced the diet and distribution of green sea urchins (Strongylocentrotus droebachiensis) at capelin spawning sites and the potential for urchins to impact capelin recruitment through egg predation. Urchin density was monitored using a remotely operated vehicle (ROV) during the summers of 2013 and 2014, and urchins were collected from capelin spawning sites in 2014 to assess diet using nitrogen and carbon stable isotopes. Urchins were distributed in higher densities in areas with dead capelin and were often clumped directly on dead fish. Conversely, the presence of capelin eggs negatively influenced urchin density. Stable isotope analysis revealed an increase in 15N when capelin resources became available, suggesting urchins were consuming capelin resources. Diet preference experiments also indicated that dead capelin were preferentially consumed over eggs. Overall, urchins appear to prefer and seek out dead capelin on spawning sites suggesting urchins may be important recyclers of capelin detritus and have little impact on capelin recruitment.
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".