Contaminant bioaccumulation dynamics in young-of-the-year bluefish subpopulations in New York Bight with a special reference to the condition and nursery area fidelity subsequent to recruitment
Bibliographic record
Abstract
Contaminant bioaccumulation dynamics was examined in young-of-the-year (YOY) bluefish subpopulations (Pomatomus saltatrix) in the New York Bight ecosystem, and the results were used to assess (i) effects of habitat quality in terms of levels of PCBs and pesticides on bluefish condition and (ii) fidelity of YOY bluefish to different subestuaries that served as the nurseries subsequent to recruitment during their first summer. Total PCBs and p,p′-DDE body burdens increased with fish length, but concentrations generally increased only poorly to moderately, which suggested steady-state contaminant uptake commensurate with aggressive feeding and dilution related to rapid growth characteristic of YOY bluefish within a subestuary. High condition factors paired with elevated contamination levels in bluefish from the Lower Hudson River, as compared with bluefish from Newark Bay with poor condition factors paired with elevated contamination levels, suggested that PCBs and pesticides alone may not determine condition in these fish. We found dissimilar patterns of prominent PCB congeners in bluefish from adjacent subestuaries (e.g., Newark Bay and Lower Hudson River) suggesting separate contaminant sources. Total PCB normalized fingerprints of PCB congeners permitted statistical discrimination among YOY bluefish specimens from various estuaries with a potential to differentiate subpopulations on scales to less than 20 km. This unexpected fidelity to nursery estuaries may have implications for the management strategies.
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".