Determining sources of capelin recruits in the Saguenay-St. Lawrence Marine Park (Canada) using otolith chemistry
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
No abstracts are to be cited without prior reference to the author.The Saguenay-St. Lawrence Marine Park (SSLMP) is an important feeding area for whales, seals and seabirds. The reserve includes a large portion of St. Lawrence Estuary, and most of the Saguenay Fjord (Canada). Understanding how capelin (Mallotus villosus), a key foraging species, is maintained in the SSLMP is important to preserve this feeding area. Our aim is to determine whether capelin in the SSLMP recruit locally through larval retention or derive from other spawning sites and look at connectivity throughout the Fjord-Estuary system. Otolith chemistry is a great tool to achieve our objective. Indeed, elements are stored in the increments of otoliths. Concentrations derive from surrounding waters and are regulated by physiological and environmental parameters. So, otolith elemental signatures in early life stage capelin otoliths may be a witness of the spawning site. The first step consists in characterisation of otolith signatures of spawning sites, exploring larval capelins (n=290, otolith diameter 10-20µm) caught in 2009 throughout the Fjord-Estuary system, within and beyond the SSLMP boundaries. Multi-elemental analysis was performed using LA-ICP-MS method adapted to small samples. The second step performs similar analyses of a subsample of 1+ juvenile capelin caught in SSLMP in 2010 to determine sources of recruits (n=35). Some of the elements that are measured in larval otoliths varied among sampled stations, within SSLMP and in other spawning sites upstream and downstream in the estuary and western Gulf. That will form the basis of a mixed-stock analysis to determine the spatial extent and degree of connectivity between the park and spawning areas.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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 it