Climatic Effects on Phosphorus Fractions of Native and Cultivated North American Grassland Soils
Bibliographic record
Abstract
Core Ideas Influence of climate on phosphorus dynamics in soil. Regression analyses for climosequence in Great Plains. Influence of cultivation and size fractions on phosphorus dynamics. The climatic regime influences the turnover of P in soils, resulting in shifts in P fractions of different bonding forms. Here, we aimed at (i) identifying possible changes in P fractions as related to mean annual temperature (MAT) and mean annual precipitation (MAP), as well as (ii) elucidating how these patterns change under long‐term agriculture. We analyzed different P fractions after sequential extraction according to the Hedley procedure from the top 10 cm of 18 native grassland sites and adjacent long‐term agricultural fields along a temperature and precipitation transect from central Saskatoon to south Texas. The analyses were performed on bulk soils and clay fractions. The results showed that total P (P tot ) concentrations decreased with increasing MAT but were not clearly related to MAP. The contributions of total inorganic P (Pi tot ) and total organic P (Po tot ) to P tot did neither change with MAT nor with MAP. The proportions of individual soil fractions were shifted from the labile and easily extractable P bonding forms to the more stable, residual P fractions with increasing annual temperature. Arable cropping induced loss of organic P (Po). The relationships to the climatic factors were sustained for the arable soil, but better reflected in the clay fractions than in the bulk soil. We conclude that there is a gross pattern of soil P distribution related to the climate, likely reflecting the increased biological processing as well as and progressing weathering and neoformation of secondary mineral phases as annual temperatures rise.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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; both teacher heads agree on what is shown here.
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".