The photosynthetic characteristics of red coralline algae, determined using pulse amplitude modulation (PAM) fluorometry
Bibliographic record
Abstract
Abstract Interest in red coralline algae is increasing due to their projected sensitivity to ocean acidification and their utility as palaeoenvironmental proxies. Thus, it is crucial to obtain a thorough understanding of their basic photosynthetic characteristics and appropriate techniques for use in both laboratory and in situ studies. This study provides fluorescence methodology and data for the ecologically important red coralline alga Lithothamnion glaciale using pulse amplitude modulation (PAM) fluorometry. Lithothamnion glaciale was sufficiently dark-acclimated for in situ work following 10 s of quasi-darkness, attaining 95–98% of the maximum photochemical efficiency (F v/F m). Rapid light curves conducted in situ and in the laboratory determined a low light adaptation, with a saturation intensity of 4.45–54.6 μmol photons m-2 s-1. Intra-thallus heterogeneity was observed between branch tips and bases (i.e., within the thallus) using a custom-made 2 mm fibre optic probe (the heterogeneity could not be detected using the standard 5 mm probe). Branch bases were lower light acclimated than the tips, with higher maximum effective quantum yield (F q′/F m′max) and lower non-photochemical quenching. Samples measured in May were higher light acclimated than in March, which suggests a degree of seasonal acclimation. Light history and photon irradiance levels were thus found to significantly affect the photosynthetic characteristics of L. glaciale.
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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".