Carbon dynamics of pristine and hydrologically modified fens in the southern Rocky Mountains
Bibliographic record
Abstract
We measured water table levels, above- and below-ground plant production, and CO 2 and CH 4 emissions for five fens in Rocky Mountain National Park, Colorado, to determine whether a water diversion project was adversely affecting carbon cycling. Two fens were located beneath the water diversion, and three fens were located in an adjacent pristine watershed. The diversion lowered water table levels in one fen, while the other fen was not hydrologically modified. Total NPP (net primary production) for all sites ranged from 130 to 316 g C·m 2 ·year 1 , with a mean of 217 g C·m 2 ·year 1 , and belowground NPP accounted for ~60% of the total. Maximum CO 2 emissions for pristine fens ranged between 170 and 273 mg CO 2 -C·m 2 ·h 1 , with annual emissions of 230388 g CO 2 -C·m 2 ·year 1 . However, the hydrologically modified fen had maximum CO 2 emissions of 457 mg CO 2 -C·m 2 ·h 1 and had an annual flux of 573 g CO 2 -C·m 2 ·year 1 . Maximum CH 4 emissions ranged from 3 to 25 mg CH 4 -C·m 2 ·h 1 , with annual emissions of 961 g CH 4 -C·m 2 ·year 1 . The water diversion structure lowered water tables, increased CO 2 , decreased CH 4 and NPP, and resulted in the site likely becoming a net source of carbon.Key words: peatlands, fens, CO 2 , CH 4 , hydrology, Rocky Mountains, Rocky Mountain National Park, plant production.
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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 | 0.001 | 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) | 0.000 | 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".