Establishment of bryophytes from indigenous sources after disturbance from oil sands mining
Bibliographic record
Abstract
Reclaiming Alberta's oil sands landscape has many challenges including designing and engineering totally new landscapes, as well as developing unique plant establishment regimes. Fens are a particular concern as no one has attempted to create minerogenous peat-forming wetlands. Key to the success of these peat-forming wetlands is the establishment of a ground layer of bryophytes. We surveyed Syncrude's 17 ha constructed wetland (Sandhill Fen) two years after wet-up for the occurrence of bryophytes, none of which were purposefully introduced. Twenty-one species, including 15 species of natural rich fens were found, along with five ruderal species. Species patterning was framed along a species richness gradient, suggesting that some plots were better than others for establishment. Spatial patterning of the species-rich plots was scattered within the fen with no discernible pattern. By far the most prevalent fen species was Ptychostomum pseudotriquetrum. Seasonally submerged sites had no bryophyte establishment. Here we demonstrate that given a suitable substrate and environmental conditions, bryophytes can establish from indigenous sources and at present, after two growing seasons, numerous key species are present, but not in large abundances.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".