The maximum reservoir capacity of global vegetation for persistent organic pollutants : implications for global cycling.
Bibliographic record
Abstract
The concept of maximum reservoir capacity (MRC) or “equilibrium capacity ratio,” the ratio of the capacities of the vegetation and of the atmospheric mixed layer (AML) to hold chemical under equilibrium conditions, is applied to selected persistent organic pollutants (POPs) in vegetation in order to assess its importance for the global cycling of POPs. Vegetation is found to have a significant storage capacity, and because of its intimate contact with the atmosphere may play an important role in global cycling of POPs. The vegetation MRC is calculated for some representative PCB congeners (PCB-28; −152; −180) at the global scale with a spatial resolution of 0.25° × 0.25°. It is shown to be comparable to that of the skin layer of the soil and to vary over many orders of magnitude, between compounds, locations, and time (seasonally/diurnally), depending on the vegetation type and on the temperature. The highest MRC values are observed in areas with low temperatures and coniferous forests (e.g., Siberia, Canada, Scandinavia), while the lowest values are typically located in warm and desert areas (e.g., Sahara). Large differences were also observed at the regional scale. Implications for the global cycling and long-range atmospheric transport (LRAT) of POPs are discussed, including comparisons with soil and ocean MRCs, which will drive net transfers of POPs between media and regions.
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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) | 0.000 | 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".