Climate‐Dependent Hydrogen Isotopic Offset of Stem Water and Its Effect on Quantification of Plant Water Sources
Bibliographic record
Abstract
Abstract Increasing evidence reports hydrogen isotopic offset (HIO) between plant stem and source soil water, which introduces considerable uncertainties in estimating plant water sources. However, it remains unknown how HIO varies along precipitation gradients and its effect on quantification of plant water sources. We sampled soil water and apple tree samples at five sites along a precipitation gradient (420–610 mm) on China's Loess Plateau to characterize HIO's climatic drivers and hydrological implication. Clear and negative stem‐soil water HIO was observed at all sites, with magnitude increasing with mean annual precipitation (MAP). The overestimation of deep soil water use caused by HIO was clearly higher in sites with MAP > 500 mm (14.42%) than those with MAP < 500 mm (0.76%), indicating overestimation of deep soil water use by stable water isotopes is more susceptible in wetter regions. This study emphasizes the necessity of incorporating climate‐related HIO for accurate regional ecohydrological assessments.
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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 | 0.001 | 0.001 |
| 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 | 0.000 | 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".