Moss cellulose 18O applied to reconstruct past changes in water balance of a boreal wetland complex, northeastern Alberta
Bibliographic record
Abstract
A water and vegetation sampling program including peat coring was carried out within the McClelland Wetland, a boreal peatland complex situated within the rapidly developing oil sands mining region of northeastern Alberta, Canada. This study investigated both the current and past hydrology of the site to improve understanding of the spatiotemporal evolution of water sources, pathways, and vegetation succession prior to impending oil sands development in the western half of the watershed. The study used vegetation surveys and isotopic tracers (18O, 2H) for contemporary characterization of water sources and evaporation gradients, whereas flark orientation was used to identify general flow directions. Use of 18O preserved in α-cellulose within moss macrofossils and wood, combined with evidence from vegetation successions in several cores, provided detailed information on historical changes in the peatland as far back as 11,300 cal. years BP. Reliability of 18O archives from moss cellulose to reconstruct 18O in source water was confirmed in a sub-survey conducted at 227 sites where water and moss were both sampled and analyzed to quantify isotopic fractionation in dominant moss species. Overall, the study established existence of long-term groundwater source areas around the margins of the peatland, as well as contemporary permafrost thaw zones within the peatland itself. Both contemporary (spatial) and historical (temporal) 18O gradients reflect precipitation-derived origins for shallow groundwater sources with strong evaporative enrichment along the direction of flow. Historical reconstruction suggests persistence of open wet areas at the site amid several episodes of regional climatic and associated hydrologic changes.
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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 | 0.001 | 0.001 |
| 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) | 0.000 | 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 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".