Phosphorus concentration and pH in decaying wood affect establishment of the red-listed moss <i>Buxbaumia viridis</i>
Bibliographic record
Abstract
Many red-listed species grow on decaying wood in the boreal forest, and their persistence depends on dispersal to new patches. To investigate whether substrate quality could affect establishment and distribution of the red-listed moss Buxbaumia viridis (DC) Moug. & Nestl., cultivation experiments as well as a field investigation of wood quality were performed. Spore germination was negatively affected by low pH and phosphorus (P) concentration in cultivation media, while nitrogen (N) concentration did not significantly affect germination. Results from the experiments were supported by the field investigation, where the probability of sporophyte occurrence increased with increasing pH. In addition, the interaction between substrate type (wood or humus) and P was significant. Occurrence of sporophytes was not significantly affected by N concentration in the wood. The results from the cultivation experiments and the field study imply that the safe site for germination and establishment of Buxbaumia viridis is either a substrate with continuously high moisture or a substrate with lower moisture but with increased pH and (or) P content, attained, e.g., by throughfall and litterfall from deciduous trees, and that non-optimal pH, P, and moisture conditions could restrict establishment and distribution of the species.Key words: bryophyte, decaying wood, germination, protonema, safe site, substrate quality.
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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".