Co-planting vascular and nonvascular boreal species to promote belowground biomass on mine-impacted substrates
Bibliographic record
Abstract
Species interactions play a critical role in structuring early revegetation communities and co-planting may help to promote species interactions that facilitate plant establishment. However, further research is needed to predict outcomes from co-planting and to identify the conditions that elicit facilitative interactions among boreal species. We evaluated the influence of co-planting on aboveground and belowground biomass and root:shoot ratios of four boreal vascular plants ( Picea glauca, Salix discolor, Chamerion angustifolium, Calamagrostis canadensis) using two greenhouse trials. The vascular co-planting trial involved vascular species grown in pairs under mean decadal precipitation conditions. The nonvascular co-planting trial consisted of vascular species grown with or without moss mats ( Ceratodon purpureus) under decadal mean maximum or minimum precipitation conditions. In the vascular co-planting trial, P. glauca and Chamerion angustifolium showed variable biomass responses to co-plant identity while S. discolor and Calamagrostis canadensis were unresponsive. In the nonvascular co-planting trial, moss mats were associated with higher volumetric water content 48 and 72 h post-watering and P. glauca exhibited increased belowground biomass under the minimum water regime. Our results suggest that responses to vascular co-planting are species-specific and that soil moisture may mediate belowground biomass responses of P. glauca to nonvascular co-planting.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 | 0.001 |
| 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".