Carbon and nitrogen mineralization in wetland soils of the Canadian Prairies
Bibliographic record
Abstract
Wetland soils form an integral part of the agricultural hummocky landscape in the Canadian Prairies.These soils sequester carbon and can serve as sources of greenhouse gases.Three distinctly different but contiguous soils -Humic Luvic Gleysols (HLG), Eluviated Dark Brown Chernozems (EDBC) and Calcareous Dark Brown Chernozems (CDBC)located in the St.Denis National Wildlife Area (SDNWA) in four wetlands were selected for study with the aim of comparing the carbon (C) and nitrogen (N) mineralization parameters and determining soilrelated factors that influence C and N mineralization in these soils.A short-term aerobic incubation study (16 d) was conducted to determine C mineralization.Nitrogen mineralization was examined using two soil N availability indices: nutrient supply rate (NSR) in a short-term incubation study (14 d) and aerobic leaching-incubation in a long-term study (16 wk).A first order model using non-linear least squares regression was fitted to cumulative C and N curves to determine C and N mineralization parameters (C mineralization potential, C o and C mineralization rate constant, k C ; N mineralization potential, N o and N mineralization rate constant, k N ) for each soil type.Mean cumulative C mineralization, C o , mean cumulative N mineralization and N o were highest in the surface horizons and decreased with depth in all the soils.The mean cumulative CO 2 production values for the surface horizons were > 150 mg CO 2 -C kg -1 soil while the lower horizon values were < 80 mg CO 2 -C kg -1 soil.Surface mean cumulative N mineralization values were between 5 mg N kg -1 soil and 10 mg N kg -1 soil with the lower horizons being < 5 mg N kg -1 soil.The pattern was similar for C o and N o in the surface horizons with values ranging from 200 mg CO 2 -C kg -1 soil to > 300 mg CO 2 -C kg -1 soil and from 8 mg N kg -1 soil to 28 mg N kg -1 soil, respectively.Nutrient supply rate also showed a similar pattern.The clay fraction showed a stronger negative correlation with the C mineralization parameters in the CDBC than in the other two soils.Organic C and N showed a highly significant positive correlation with almost all the mineralization parameters in all the soils.Overall, notwithstanding the differences in pedogenetic characteristics of the three soils, few significant differences were observed when their C and N mineralization assays were compared.The similarity in the biochemical characteristics of the soils suggests that the observed pedogenic differences do not reflect significantly in the C and N mineralization.Although the pedogenic differences are large, the effects of these differences on soil management are not agronomically significant and the soils can be managed together.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".