Seasonal changes in surface bulk density and saturated hydraulic conductivity of natural landscapes
Why this work is in the frame
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Bibliographic record
Abstract
Soil surface bulk density ( ρ b ) and saturated hydraulic conductivity ( K s) control many land‐surface processes such as water flow, chemical transport and soil erosion. The objective of this study was to examine seasonal changes in surface ρ b and K s in natural landscapes with few human activities. Measurements of ρ b and K s were made on undisturbed soil samples taken from the soil surface (0–0.05 m) five times from October 2007 to March 2009 along four natural transects in a small watershed on the Chinese Loess Plateau. The transects represented four landscapes with different vegetation and soil typical in this region. Results showed that ρ b and K s varied seasonally. Temporal changes in K s generally followed the temporal patterns of ρ b . According to the mean values of all landscapes, bulk density decreased by 1.6 and 1.1% and log 10 ‐transformed K s (Log 10 K s) increased by 11.0 and 5.8% from October 2007 to March 2008 and from October 2008 to March 2009, respectively; bulk density increased by 2.1% and Log 10 K s decreased by 4.9% from March to June in 2007; from June to October in 2007, bulk density decreased by 1.3% while a slight increase (1.4%) in Log 10 K s was observed. Both landscape and time significantly influenced ρ b and K s, and K s was more susceptible to temporal change than ρ b . Spatial patterns of ρ b and K s did not change significantly with time. Saturated hydraulic conductivity measurements taken in different seasons can affect runoff simulation results, and K s data measured in spring may result in underestimation of runoff in a rainy season.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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