A Generalized Model for the Light Response of the Nonphotochemical Quenching of Chlorophyll Fluorescence of Diatoms
Bibliographic record
Abstract
As photoautotrophs, diatoms have developed photoprotective mechanisms to deal with excessive ambient light and to minimize photodamage to the photosynthetic apparatus. Most of these mechanisms rely on energy-dissipation processes, collectively named non-photochemical quenching of fluorescence (NPQ). The functioning of these photoprotective processes is commonly characterized by generating light-response curves of NPQ (“NPQ light curves”), which provide a detailed and ecologically relevant description of how the energy dissipating pathways are activated or relaxed as ambient light intensity varies. The light curves (LCs) are constructed by evaluating NPQ at different light intensities, by measuring the emission of chlorophyll a fluorescence in vivo , typically using a noninvasive technique called pulse amplitude modulation (PAM) fluorometry. NPQ LCs have been quantitatively described by the three-parameter mathematical model of Serôdio and Lavaud (2011), which adequately describes the monotonic rise of NPQ with light intensity, observed in many conditions and for a wide range of taxa. However, in some diatoms (also in other groups of algae, although less frequently), the NPQ LC is not always monotonic but shows an initial decrease, reaching a minimum under low-intermediate light intensities, before increasing under high light, a pattern not describable by the existing model. This work presents a new model, which generalizes the previous one of Serôdio and Lavaud and permits the description of the type of low light-response pattern observed in some diatom species and growth conditions. The study further illustrates the general applicability of the model by fitting it to a wide range of data sets measured on diatoms, both grown in unialgal cultures or as part of natural communities.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".