The genesis of three podzol-like soils occurring over a climatic gradiant on Vancouver Island
Bibliographic record
Abstract
Three soils occurring on a climosequence were studied to clarify certain aspects of Podzol genesis and Podzol classification. Data on physical, chemical, and soil solution characteristics of the three soils were collected and analysed. All measures of iron and aluminum were analysed and presented as mass per horizon. Rates of movement for calcium, magnesium, sodium, potassium, iron and aluminum between the canopy, forest floor, B₁ and B₂ horizons were also measured. The interpretations of different measures of iron and aluminum as an index of Podzol expression were shown to be inconsistent. A simple linear model was developed and applied to data from the three soils. The model defined the balance of additions, losses, transformations, and translocations within and between horizons for each site. The model results supported the following hypotheses: 1) The balance of additions, losses, translocations, and transformations vary across the climosequence. 2) The three soils studied can be identified by the balance of processes acting to produce sesquioxide rich B horizons. 3) Current Podzol classification criteria do not reflect differences in the balance of these processes. The model did not support the hypothesis that rates of biochemical cycling would be reflected in Podzol B horizon expression. Two distinct balances of processes forming iron and aluminum rich B horizons were shown to occur. In one site iron and aluminum accumulate primarily as a result of preferential loss of other soil constituents; in the other sites iron and aluminum are dominantly the product of eluviation from the Ae horizon and deposition in the B horizons. Current classification criteria grouped the two soils showing the most strongly contrasting genetic processes together as Brunisols while the intermediate balance was classified as a Podzol. The reasons for this inconsistency are discussed.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".