CO2 elevation improves photosynthetic performance in progressive warming environment in white birch seedlings
Bibliographic record
Abstract
White birch (Betula paperifera Mash) seedlings were exposed to progressively warming in greenhouses under ambient and elevated CO 2 concentrations for 5 months to explore boreal tree species' potential capacity to acclimate to global climate warming and CO 2 elevation. In situ foliar gas exchange, in vivo carboxylation characteristics and chlorophyll fluorescence were measured at temperatures of 26 (o)C and 37 (o)C. Elevated CO 2 significantly increased net photosynthetic rate (Pn) at both measurement temperatures, and Pn at 37 (o)C was higher than that at 26 (o)C under elevated CO 2. Stomatal conductance (gs) was lower at 37 (o)C than at 26 (o)C, while transpiration rate (E) was higher at 37 (o)C than that at 26 (o)C. Elevated CO 2 significantly increased instantaneous water-use efficiency (WUE) at both 26 (o)C and 37 (o)C, but WUE was markedly enhanced at 37 (o)C under elevated CO 2. The effect of temperature on maximal carboxylation rate (Vcmax), PAR-saturated electron transport rate (Jmax) and triose phosphate utilization (TPU) varied with CO 2, and the Vcmax and Jmax were significantly higher at 37 (o)C than at 26 (o)C under elevated CO 2. However, there were no significant interactive effects of CO 2 and temperature on TPU. The actual photochemical efficiency of PSII (DF/ Fm'), total photosynthetic linear electron transport rate through PSII (JT) and the partitioning of JT to carboxylation (Jc) were higher at 37 (o)C than at 26 (o)C under elevated CO 2. Elevated CO 2 significantly suppressed the partitioning of JT to oxygenation (Jo/JT). The data suggest that the CO 2 elevation and progressive warming greatly enhanced photosynthesis in white birch seedlings in an interactive fashion.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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 teacher head, 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".