Water-stable aggregates and their organic carbon distribution after five years of chemical fertilizer and manure treatments on eroded farmland of Chinese Mollisols
Bibliographic record
Abstract
Sui, Y.-y., Jiao, X.-g., Liu, X.-b., Zhang, X.-y. and Ding, G.-w. 2012. Water-stable aggregates and their organic carbon distribution after five years of chemical fertilizer and manure treatments on eroded farmland of Chinese Mollisols. Can. J. Soil Sci. 92: 551–557. Water-stable aggregates are the foundation for both water and fertility conservation and nutrient release in the soil. We investigated the effects of 5 yr of different fertilizer treatments (chemical fertilizer and fertilizer+manure) on water-stable aggregates and their organic carbon distribution patterns within five different simulated erosion levels (removal of 0, 5, 10, 20, and 30 cm of topsoil) in an eroded Black soil of northeast China. Water-stable aggregates greater than 0.25 mm in size and aggregate-associated-carbon (AAC) contents in the aggregates were greater in the soils with fertilizer+manure application than those with chemical fertilizers alone. Both water-stable aggregates and AAC contents declined (P<0.05) gradually as soil removal depth increased. The decline in aggregates larger than 1 mm with increased erosion depth was greater in the fertilizer-only application than that in the fertilizer+manure application. The minimum value was found in the case of 30 cm topsoil removal under the fertilizer-only application. Significant correlations (P<0.05) between water-stable aggregates greater than 1 mm and soil organic carbon (SOC) were observed in the soil with fertilizer+manure application. A significant positive correlation was observed between SOC and all different aggregate classes with both chemical fertilizer and fertilizer+manure applications. AAC within large aggregates and SOC contents were significantly higher in the fertilizer+manure treatment than in the fertilizer-only treatment. The study shows that water-stable aggregates (>1 mm) can be used as an indicator in evaluating the influence of carbon transformation on soil quality. The increases in SOC by cattle manure application to eroded Black soil might be responsible for the larger size aggregate formation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".