Regional variation in the distribution of patterned fens in the montane-boreal regions of Alberta, Canada
Bibliographic record
Abstract
Abstract Peatlands represent an important part of the landscape of boreal western Canada, occupying some 365,157 km 2 . Sixty-three percent of these are minerogenous fens. Scattered among these fens are landscape features that have unique and distinctive patterns—pools and carpets (flarks) separated by raised linear ‘strings’. These patterned fens harbor rare and uncommon species and serve as habitats for endangered wildlife (e.g., woodland caribou, whooping cranes). In this study, utilizing Google Earth Pro (1) we documented 1083 ribbed fens and 250 reticulate fens in the province of Alberta, Canada; (2) determined the regional variation in patterned fen occurrences; (3) described the various morphological forms of patterned fens; and (4) recognized these as six distinctive peatland site-types. Patterned fens are not randomly arranged on the landscape. Ribbed fens are concentrated on regional high elevational uplands and montane benchlands with morainal deposits, while reticulate fens are more numerous on low elevation plains with glacial-fluvial and glacial-lacustrine deposits. Patterned fens vary along minerotrophic vegetation and chemical gradients and have a complex set of morphological types. To our knowledge, this is the first study that provides base line information on the abundance and distribution of patterned fens in Alberta and associates morphological patterned fen types with environmental or geological characteristics. The digital files and maps provide a permanent record against which future change can be compared.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".