Impact of poplar shelterbelt plantations on surface soil properties in northeastern China
Bibliographic record
Abstract
The Three-North Shelterbelt Program in China is one of the largest ecological rehabilitation programs in the world, but its impact on soil properties has not been thoroughly investigated. We collected 144 soil samples from soil depths of 0–20 cm in farmlands and neighbouring shelterbelts in Songnen Plain, northeastern China. The sample plots covered six locations in the study area. The analysis of variance (ANOVA) showed that there were significant location-related differences (P < 0.05) among 9 of 10 parameters, while the land use effects were much weaker and smaller. The pooled data statistics showed that shelterbelt establishment caused a 3.5% decrease in soil bulk density, a 10.6% decrease in soil total phosphorus (P), and a 63.1% increase in available potassium (K). To exclude the location effects, forest–farmland ratios were used to find possible associations to climatic conditions and forest characteristics. The poplar-induced changes in soil bulk density, soil moisture, total K, and total P were closely related to mean annual temperature, while the larger variations in available nutrients could be explained by height, diameter at breast height, and tree density. Our findings can help explain soil changes in poplar shelterbelt plantations in degraded farmland in China, especially in the black-soil region in northeastern China.
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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 | 0.001 | 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 | 0.000 |
| 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 teacher head, 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".