Nutrient supply rates in a boreal extreme‐rich fen using ion exchange membranes
Bibliographic record
Abstract
Abstract Plant Root Simulator (PRS®) probes have been widely used to assess soil nutrients in the Athabasca Oil Sands Region of northern Alberta, Canada, but their optimum method of use and functionality in natural boreal fens and reclaimed wetlands needs to be determined. A PRS probe consists of an anion or cation exchange resin membrane that is housed in a plastic support. We assessed nutrient adsorption by PRS probes over three incubation periods (2, 24, and 384 hr) in a boreal extreme‐rich fen, a system with moderately high pore water electrical conductivity and a peatland site type that has been targeted in oil sand wetland reclamation. Ion adsorption by PRS probes was similar at 24 and 384 hr for ammonium, nitrate, phosphate, calcium, and magnesium, indicating that a stable or dynamic equilibrium was reached. However, potassium declined from 24 to 384 hr, likely due to displacement by more strongly held cations, while iron and manganese increased, likely due to increasingly anaerobic conditions. The finding that most nutrients were close to equilibrium on PRS probes within 24 hr has important implications for implementation and interpretation of PRS probe data in wetlands with moderately high pore water electrical conductivity.
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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 | 0.000 | 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 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".