Acidity of and the concentrations of major and minor metals in the surface waters of bryophyte assemblages from 20 North American bogs and fens
Bibliographic record
Abstract
One hundred and thirty-five samples of surface water, associated with bryophyte plots distributed across 20 wetlands in Newfoundland, Nova Scotia, Ontario, Alaska, Maine, Minnesota, and New York, were analyzed for pH and 11 elements, several of them seldom measured in wetlands. The overall order of elemental abundance was the following: Ca, Si, Na, Mg, Fe, K, Al, Mn, Sr, Ba, and Ti. Principal-components analysis of the pH and elemental chemistries of the water samples revealed seven subcategories that could be recognized as belonging to maritime and continental ombrotrophic bogs and poor, rich, and calcareous rich fens. The primary axis related to pH and the concentrations of alkaline earths, as well as to Si. The secondary axis segregated an unusual group of Alaskan fens; it was related mainly to Fe and Mn, and to a lesser degree Al and K. The tertiary axis separated maritime from continental bogs and was related chiefly to Na. The distribution of bryophyte species, most of them widespread in bogs and fens elsewhere, was most clearly related to pH and Ca concentration. As expected, many species exhibited narrow ranges of these chemical properties, whereas many others were widely distributed.Key words: mosses, peatlands, species diversity, water chemistry.
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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 | 0.000 |
| 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".