Developmental progression of photosystem II electron transport and CO<sub>2</sub> uptake in <i>Spartina alterniflora</i>, a facultative halophyte, in a northern salt marsh
Bibliographic record
Abstract
Leaves of Spartina alterniflora Loisel, a halophytic salt marsh grass, show rapid changes in photosynthetic performance and allocation of carbon and nitrogen resources to key macromolecules during the growing season. Photo system II (PSII) electron transport correlated primarily with the developmental state of the plants and less with the ambient temperature. The ratio of gross CO2 uptake to PSII electron transport showed high interleaf variation but rose steeply to about 0.22 mol CO2·mol PSII electrons1 through June to late July, with subsequent decline. Seasonal variation in CO2 per PSII electrons correlated with the pattern of maximum capacity for CO2 uptake. RuBisCO (ribulose-1,5-bisphosphate carboxylase-oxygenase) and chlorophyll (Chl) (µmol·m2) peaked in early June, before the period of maximum leaf elongation. RuBisCO then declined through net dilution as the leaves elongated to maximal length in mid-July. RuBisCO and Chl levels stabilized once leaf elongation stopped in mid-July, but from mid-August onward the leaves showed net loss of RuBisCO and Chl. The plants thus show a developmental program of early remobili zation of nitrogenous macromolecules from leaves even though the plants thereby forego maximal photo synthetic performance during 75 d in late summer and early autumn, when temperature and light are near optimal. Key words: electron transport, photosynthesis, PSII, RuBisCO, Spartina.
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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".