Effects of elevated temperature and [CO<sub>2</sub>] on photosynthesis, leaf respiration, and biomass accumulation of <i>Pinus taeda</i> seedlings at a cool and a warm site within the species’ current range
Bibliographic record
Abstract
We examined the influence of elevated temperature (ambient +2 °C) and atmospheric CO2 concentration ([CO2]) (700 µmol·mol–1), applied singly and in combination, on biomass accumulation and the temperature response of net photosynthesis (Anet) and leaf respiration (Rd) of loblolly pine ( Pinus taeda L.) seedlings grown simultaneously at a northern and a southern site within the species’ range. We used this experimental approach to determine if the response to future climate conditions would differ between a warm and cool location within a species’ range. Seedling biomass accumulation and the temperature responses of Anet and Rd were measured throughout the growing season. Biomass accumulation was substantially greater at the warmer site compared with the cooler site regardless of treatment. At each site, biomass accumulation was greater in the elevated temperature treatment compared with the ambient treatment. There was substantial acclimation of Rd, but not Anet, to site and to temperature treatment at each site. Elevated [CO2] increased biomass accumulation and Anet at both sites and in both temperature treatments. Our study provides an indication that future projected increases in [CO2] and air temperature of 700 µmol·mol–1 and +2 °C, respectively, are likely to increase loblolly pine growth in most, if not all, of its current range.
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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 | 0.001 |
| 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".