Peatlands in a eutrophic world - assessing the state of a poor fen-bog transition in southern Ontario, Canada, after long term nutrient input and altered hydrological conditions
Bibliographic record
Abstract
Abstract Excessive nutrient supply may threaten the carbon storage function of nutrient limited peatlands. We conducted a detailed study in a bog ecosystem (Wylde Lake peatland, Canada), which was once ombrotrophic and since AD 1954 borders a water reservoir, which is enriched with nutrients. Our objective was to elucidate whether the inner peatland parts maintain typical characteristics of a pristine bog. To achieve this goal, along a transect of study sites, we dated peat cores, determined nutrient concentrations and N input and mapped the vegetation. The peatland's central part showed large N input rates of ∼4.3 g N•m −2 •y −1 , but even greater rates of 5.90 ± 0.10 g N•m −2 •y −1 , were found in the periphery. Elements essential for plant growth, such as N, P, S, Ca, Mg, Mn, Fe, Cu and Zn were increased in concentration upwards in the profile of all peat cores, especially near the reservoir, presumably due to supply by the reservoir water. Also, a more graminoid dominated vegetation near the reservoir indicated a transformation of the once ombrotrophic bog into a poor fen. To our surprise and in contrast to previous studies the peatland did not seem to decay after long-term excessive nutrient load, instead it accelerated peat accumulation, leading to maximum growth rates of up to 500 g C•m −2 •y −1 immediately after flooding of the reservoir. Peatland functioning in terms of carbon storage appeared maintained.
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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 | 0.001 | 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".