Chlorophyll fluorescence response of red spruce and balsam fir to a watershed calcium fertilization experiment in New Hampshire
Bibliographic record
Abstract
Decreases in soil exchangeable calcium (Ca) due to acid deposition have been linked with declines of forest species in the northeastern United States, particularly red spruce (Picea rubens Sarg.). In 2005, chlorophyll fluorescence measurements were taken on red spruce and balsam fir (Abies balsamea (L.) Mill.) trees growing on two watersheds at the Hubbard Brook Experimental Forest (HBEF) in New Hampshire. One watershed had been fertilized with CaSiO3 in 1999 to replace the soil Ca losses of the past 50 years, and the other was a reference watershed. In March, there were no differences in any chlorophyll fluorescence parameter between sites or species. In August, however, dark-adapted ratios of variable fluorescence to maximum fluorescence (Fv/Fm) were significantly greater (p = 0.05) in the Ca-treated watershed for both spruce and fir, and spruce values were significantly greater than fir. No differences were found in the light-adapted fluorescence parameters. These results suggest that both spruce and fir respond to increases in Ca availability, even though fir does not exhibit the decline symptoms seen in spruce. It is unclear what physiological effect is responsible for the observed differences in Fv/Fm. The Fv/Fm values appear to respond to differences in Ca availability in forest tree species; thus, the ratio has the potential to be used in these two watersheds at HBEF to determine if other forest species are also responding to Ca additions.
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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) | 0.001 | 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".