Effects of phosphorus fertilization and liming on growth, mineral nutrition, and gas exchange of <i>Alnus rubra</i> seedlings grown in soils from mature alluvial <i>Alnus</i> stands
Bibliographic record
Abstract
In southern coastal British Columbia, red alder (Alnus rubra Bong.) is recommended for reforestation on some low-elevation, fertile, and moist sites (e.g., alluvial sites). Correlative data indicate that P deficiencies limit the growth of alder in low-pH soils; deficiencies of P and other elements may also develop in the presence of an alder stand. Because alder may be grown in repeated rotations on alluvial sites, we sought to determine whether elemental deficiencies were likely in soils from mature stands. We examined the effects of P additions (as triple super phosphate) and liming (as dolomitic limestone) on potted red alder seedlings grown in soils from mature alluvial alder stands. Four soils were "low-pH" (mean = 4.5) and two were "high-pH" (mean = 5.5); all were classified as very rich. Growth of unfertilized seedlings was greatest in the soil with the highest soil Bray-P levels. Growth rates increased with P supply, but the response decreased with increasing Bray-P and was less in the high-pH soils. Liming increased soil pH and uptake of Mg, but did not increase growth. Phosphorus additions increased growth mainly by increasing P uptake, leaf size, and biomass allocation to branches. Photosynthetic rates were highest in the intermediate P treatment, but instantaneous water use efficiency increased with P rate. Phosphorus deficiencies may limit the growth of alder seedlings in alluvial soils previously containing mature alder stands.
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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) | 0.001 | 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 | 0.001 | 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".