Effects of a one-time application of bentonite on soil enzymes in a semi-arid region
Bibliographic record
Abstract
Soil enzymes play a key role in many soil processes that affect soil health and which may be adversely affected under a changing climate. We investigated the short- and long-term effects of bentonite amendments on soil catalase, invertase, urease, and alkaline phosphatase activity in a field experiment in a semi-arid region in northern China. Treatments included six rates of bentonite amendments (0, 6, 12, 18, 24, and 30 Mg ha−1) applied only once in 2011. Addition of bentonite had a significant (P < 0.01) effect on the activity of each enzyme at different layers and days after millet sowing. Observed increases in catalase, invertase, urease, and alkaline phosphatase activities were up to 42%, 46%, 58%, and 50%, respectively, and they were approximately linear with increasing bentonite rate up to 24 Mg ha−1 over the 5 yr experimental period. Averaged over 5 yr, the 24 Mg ha−1 rate of bentonite amendment led to the largest effect on soil enzyme activity in all soil layers at five growth stages over the growing season. The observed increased enzyme activity suggests that bentonite can help maintain and improve soil health to support plant growth and contribute to sustainable agriculture production in a semi-arid environment.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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; 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".