Limited effects of simulated acidic deposition on seedling survivorship and root morphology of endemic plant taxa of the Athabasca Sand Dunes in well-watered greenhouse trials
Bibliographic record
Abstract
The Athabasca Sand Dunes of northern Saskatchewan support 10 endemic vascular plant taxa listed under the Species at Risk Act (SARA). The Athabasca Sand Dunes are subject to acidic deposition; the potential impacts of which are a significant knowledge gap to a comprehensive reassessment of the conservation status of these taxa. We used a greenhouse experiment to assess the potential effects of acidic deposition on the root system morphology of the following three endemic species: Armeria maritima (P. Mill) Willd. ssp. interior (Raup) Porsild, Deschampsia mackenzieana Raup, and Stellaria arenicola Raup. We found limited effects of three pH treatments on root diameter, root length, surface area, and branching. Although acidic deposition is likely not a short-term threat, current and future deposition still may be a significant long-term threat. The Athabasca Sand Dune soils are considered highly sensitive, and acidification and nutrient leaching can take several decades to manifest. This should be considered when assessing the conservation status of these endemic taxa, particularly A. maritima, as this species may be more sensitive than the other species to acidic deposition owing to a small population size and limited habitat breadth.
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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 | 0.001 |
| 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 | 0.001 | 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".