Butyltins biomagnification from macroalgae to green sea urchin: a field assessment
Bibliographic record
Abstract
Abstract Biomagnification of butyltins (BTs) was examined in a simple food web including seawater, macroalgae ( Alaria esculenta, Laminaria longicruris, Ulvaria obscura ) and green urchin ( Strongylocentrotus droebachiensis ). The study was conducted in shallow waters of the St Lawrence Estuary (Canada) adjacent to two areas potentially contaminated by BTs. Levels of tri‐ (TBT), di‐ (DBT) and mono‐BT (MBT) were determined in seawater, green urchin (including faecal matter after sampling) and macroalgae surrounding the urchins at each sampling site. The concentrations of TBT in seawater from all stations were relatively low (3–7 ngSn l −1 ), and both the TBT and the total BTs (∑BT = MBT + DBT + TBT) concentrations decreased with increase in distance from the BT sources. The concentrations of TBT in algae were 0.35 ngSn g −1 dry weight (DW) in A. esculenta , 0.40 ngSn g −1 DW in L . longicruris and 3.58 ngSn g −1 DW in U. obscura. Following their location, green urchins feeding mainly on these algae accumulated BTs at levels ranging from 4 to 85 ngSn g −1 DW in gonads and from 35 to 334 ngSn g −1 DW in gut. The mean bioconcentration factor (BCF) calculated from seawater to algae ranged from 17 in A. esculenta to 151 in U. obscura , whereas the biomagnification factor (BMF) from algae to urchins ranged from 2 to 17 in gonads and from 10 to 67 in gut. The overall bioaccumulation factor of TBT between seawater and internal organs of urchins reached an average value of 1.2 × 10 3 . These results are the first to illustrate high BT BCFs and BMFs in human‐edible macroalgae and urchins sampled from northern coastal areas with a low TBT contamination level. Copyright © 2003 John Wiley & Sons, Ltd.
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.005 | 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 teacher head, 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".