The water relation of seedlings of <i>Picea jezoensis</i> on fallen logs
Bibliographic record
Abstract
We examined whether fallen logs without moss (FLB) are more drought-stressful sites for Picea jezoensis Carr. seedlings than are logs with moss (FLM) and whether drought affects the mortality of seedlings on logs. We measured the water potential of the log humus layer (ΨH) and needles of seedlings on the logs (ΨN) in a natural forest and a greenhouse under various drought conditions. We also determined the critical ΨN from the relationship between seedling mortality, ΨN, and chlorophyll fluorescence, Fv/Fm. The ΨH on both moss-covered and bare logs in the forest was 0~MPa, regardless of the number of days without precipitation. In the forest, the mean predawn ΨN of FLB and FLM measured 11 days after a rainfall was 0.8 and 0.7 MPa, respectively, in the driest season. The ΨN for P. jezoensis seedlings of FLB reached the critical value earlier than those of FLM in the greenhouse, but this occurred after a long period (>30 days) with no irrigation. We conclude that drought does not cause mortality of P. jezoensis seedlings on fallen logs in natural forests.
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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 | 0.000 |
| 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".