Soil Spatial Dependence in Three Arctic Ecosystems
Bibliographic record
Abstract
We examined the spatial variability of 13 soil physicochemical attributes and their correlation with soil gravimetric moisture content (θ g ) in 279 soil samples collected from three high arctic ecosystems. The observed correlations between θ g and pH, NH 4 , NO 3 , total organic C, dissolved organic C, and dissolved organic N contents in the Arctic are considerably higher than temperate agricultural and tropical grassland soils, which suggests that θ g plays a critical role in arctic soil ecosystems. We found that, despite the climatic extremities, arctic soil attributes are spatially well structured and their spatial dependency is consistent within and between the studied ecosystems. The range of spatial dependency, however, is considerably smaller, which can be ascribed to the environmental extremities and other periglacial features. Based on the results, we recommend that, to obtain independent samples, the minimum distance between samples should be 10 m in Haplorthels or Haploturbels and 45 m in Histels.
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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 | 0.000 | 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".