Pyrogenic carbon in native grassland soils along a climosequence in North America
Why this work is in the frame
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Bibliographic record
Abstract
Elucidating the role of pyrogenic carbon (C pyr ) as a global pool for CO 2 sequestration in temperate ecosystems requires information on the contribution of C pyr to soil organic carbon (SOC) across different climatic regions. We investigated the effect of climate and basic soil properties on the accumulation of C pyr in surface soils across the native North American prairies. Topsoil samples (0–10 cm) of 18 native grassland sites along temperature and precipitation transects from central Saskatoon, Canada, to south Texas, USA, were analyzed for benzenecarboxylic acids as molecular markers for C pyr after nitric acid oxidation in the bulk soil (<2 mm), clay‐ (<2 μm) and silt‐sized (2–20 μm) separates. C pyr contributed between 4 and 18% to SOC, the major proportions of C pyr being mostly found in the clay and silt fractions. C pyr in soil did not correlate with basic inorganic soil properties such as pH or clay content, but it increased significantly as SOC contents increased (r 2 = 0.78; P < 0.001). Obviously, C pyr co‐accumulated with dead biomass. Since this accumulation depends on climate, also C pyr contents in soil depend on climate and may be predicted by the logarithm of the ratio of mean annual temperature (MAT) to mean annual precipitation (MAP) (P < 0.05). We conclude that the natural potential of soils to sequester C pyr reflects both, (1) higher C pyr production at sites with high plant biomass in moist climates, and (2) lower C pyr residence time at soils acting as a CO 2 source in warm climates.
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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 | 0.000 | 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 it