The influence of understory vine maple on forest floor and mineral soil properties in coastal temperate forests
Bibliographic record
Abstract
In coastal forests of the Pacific Northwest, vine maple (Acer circinatum Pursh) is a common understory tree species. We studied the influence of vine maple, growing in the understory of a stand of Douglas-fir [Pseudotsuga menziesii (Mirb.) Franco] and western hemlock [Tsuga heterophylla (RAF.) Sarg.], on forest floor and mineral soil properties. Fifteen (in a 75-yr-old stand) and 12 (in a 130-yr-old stand) plots containing vine maple were compared to paired plots without the influence of vine maple. Mull humus was dominant under vine maples, while mor humus was mainly found under conifers at the 130 yr-old stand. Common to both stands in the upper mineral soil were greater mineralizable N and total exchangeable bases under vine maple. At the 75-yr-old stand, the forest floor had a higher pH and greater total exchangeable base concentration, while the mineral soil had a lower C:N ratio, greater NO3-availability and lower available P concentration and content under vine maple compared to conifers. The 130-yr-old stand had less available P content and greater concentrations of mineralizable N and exchangeable Mg in the forest floor under vine maple. Results suggest that the presence of vine maple may enhance the availability of N and exchangeable bases, but may adversely affect P availability. Key words: Vine maple, soil-plant interactions, forest floor, Acer circinatum
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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) | 0.000 | 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".