Growth and productivity of the moss <i>Sphagnum fuscum</i> in bogs of northeastern North America
Bibliographic record
Abstract
Peatlands store about one-third of the global soil carbon pool. Improved understanding of drivers of Sphagnum productivity can improve models of carbon dynamics under future climate regimes. Studies of Sphagnum growth were undertaken to investigate rates of Sphagnum growth and productivity for ombrotrophic bogs across eastern North America. Growth of Sphagnum fuscum was measured at eight bogs along a transect from Newfoundland to Minnesota between 1981 and 1983, and short cores were collected from S. fuscum hummocks at 20 bogs along the transect. Shoot elongation ranged from 3 mm year−1 in Newfoundland to 11.2 mm year−1 in western Québec, with values of 7 mm year−1 for sites in the southern maritimes. Productivity ranged from 103 to 307 g m−2 year−1. Shoot elongation was negatively correlated with bulk density ( r2 = 0.93, p < 0.0002). Bulk density decreased from maritime to mid-continental sites consistent with existing classifications of maritime, transitional, and continental sites based on landforms, vegetation, and stratigraphy. Productivity was positively correlated with GDD5 and negatively correlated with precipitation and vascular plant cover. These data fill an important gap in measurement of Sphagnum growth and patterns of productivity in this region.
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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 | 0.000 | 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 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".