Spatial distribution and hazard of halogenated flame retardants and polychlorinated biphenyls to common kingfisher (Alcedo atthis) from a region of South China affected by electronic waste recycling
Bibliographic record
Abstract
Numerous studies have reported bioaccumulation of halogenated flame retardants (HFRs) and polychlorinated biphenyls (PCBs) in wildlife from electronic waste (e-waste) recycling sites. However, the concentrations and hazards of HFRs and PCBs in wildlife from non–e-waste sites which were not involved in any known e-waste recycling activities in the e-waste–impacted region are still unclear. Polybrominated diphenyl ethers (PBDEs), alternative HFRs (AHFRs; including dechlorane plus, decabromodiphenyl ethane, and 1,2-bis(2,4,6-tribromophenoxy) ethane), and PCBs were quantified in common kingfishers (Alcedo atthis) from a region affected by e-waste recycling in South China, and potential adverse effects were evaluated. Concentrations of ∑PBDEs and ∑PCBs in kingfishers ranged from 2.1 × 103–1.3 × 105 ng/g lipid mass (lm) and 2.1 × 103–1.5 × 106 ng/g lm, respectively. At e-waste recycling sites, these concentrations were 100- to 1000-fold greater than those in kingfishers from non–e-waste areas, where concentrations of ∑PBDEs and ∑PCBs were 16–1.2 × 103 and 39–3.0 × 103 ng/g lm, respectively. Concentrations of ∑AHFRs in kingfishers from e-waste sites and non–e-waste sites ranged from 8.5 to 3.6 × 102 and 0.8–2.9 × 102 ng/g lm, respectively. The greatest concentrations of PCBs in kingfishers were measured from the e-waste sites. Additionally, kingfishers from four non–e-waste sites in the vicinity of e-waste sites had greater PCB concentrations compared to the other six non-e-waste sites. Concentrations of AHFRs were negatively and significantly correlated with distance from an e-waste site, which indicated that AHFRs from non–e-waste sites might be influenced by point sources. Further, a significant (r2 = 0.53, p = 0.02) positive correlation between human population density and concentrations of ∑PBDEs in kingfishers from non–e-waste sites was observed. Concentrations of either PBDEs or PCBs from e-waste sites might pose severe, adverse reproductive effects to kingfishers, while the potential for adverse effects of PBDEs and PCBs to kingfishers from most non–e-waste sites seemed minimal.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".