Photosynthetic pathway alters xylem structure and hydraulic function in herbaceous plants
Bibliographic record
Abstract
ABSTRACT Plants using the C 4 photosynthetic pathway have greater water use efficiency (WUE) than C 3 plants of similar ecological function. Consequently, for equivalent rates of photosynthesis in identical climates, C 4 plants do not need to acquire and transport as much water as C 3 species. Because the structure of xylem tissue reflects hydraulic demand by the leaf canopy, a reduction in water transport requirements due to C 4 photosynthesis should affect the evolution of xylem characteristics in C 4 plants. In a comparison of stem hydraulic conductivity and vascular anatomy between eight C 3 and eight C 4 herbaceous species, C 4 plants had lower hydraulic conductivity per unit leaf area ( K L ) than C 3 species of similar life form. When averages from all the species were pooled together, the mean K L for the C 4 species was 1.60 × 10 −4 kg m −1 s −1 MPa −1 , which was only one‐third of the mean K L of 4.65 × 10 −4 kg m −1 s −1 MPa −1 determined for the C 3 species. The differences in K L between C 3 and C 4 species corresponded to the two‐ to three‐fold differences in WUE observed between C 3 and C 4 plants. In the C 4 species from arid regions, the difference in K L was associated with a lower hydraulic conductivity per xylem area, smaller and shorter vessels, and less vulnerable xylem to cavitation, indicating the C 4 species had evolved safer xylem than the C 3 species. In the plants from resource‐rich areas, such as the C 4 weed Amaranthus retroflexus , hydraulic conductivity per xylem area and xylem anatomy were similar to that of the C 3 species, but the C 4 plants had greater leaf area per xylem area. The results indicate the WUE advantage of C 4 photosynthesis allows for greater flexibility in hydraulic design and potential fitness. In resource‐rich environments in which competition is high, an existing hydraulic design can support greater leaf area, allowing for higher carbon gain, growth and competitive potential. In arid regions, C 4 plants evolved safer xylem, which can increase survival and performance during drought events.
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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) | 0.000 | 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".