<i>Salix</i> species variation in leaf gas exchange, sodium, and nutrient parameters at three levels of salinity
Bibliographic record
Abstract
Leaf gas exchange, Na+, and nutrient parameters were quantified under control (CTL), medium (MST), and high (HST) saline treatments for Salix discolor Muhl. (DIS), Salix eriocephala Michx. (ERI), and Salix interior Rowlee (INT). Net photosynthesis (Pn) increased from CTL to MST for all species but remained unchanged between MST and HST for surviving INT plants in HST. Salix interior had greater water-use efficiency (WUE) than DIS and ERI. Under CTL, INT had 13× the leaf Na+ concentration of DIS and ERI, but INT Na+ only increased by 17% across each saline treatment, whereas DIS and ERI leaf Na+ increased 6.0× from CTL to MST. Salix discolor and ERI had greater cation to Na+ ratios than INT; however, INT ratios were stable across saline treatments, whereas the DIS and ERI ratios dropped precipitously. Across species and treatments, Pn had a significant positive relationship to total aboveground dry mass, supporting the sink regulation of Pn theory. Also, Pn showed a significant positive relationship to WUE and leaf N and to leaf Na+, which probably reflects greater energy expenditure required to mitigate the higher levels of Na+. The saline tolerance of INT may be due to natural selection pressure in the arid regions of the southwestern United States, where it is believed to have its evolutionary origins.
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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 | 0.001 | 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) | 0.001 | 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".