Variation in microbial biomass and enzymatic activities in metal contaminated soils during storage at low temperature (4°C)
Bibliographic record
Abstract
Microbial response to soil storage at low temperature in limed and unlimed samples has not been investigated. For this study, soil samples were kept at 4°C for six weeks. Soil microbial biomass was determined using phospholipid fatty acid analysis (PLFA). Nine enzymes were targeted including β-glucosidase (BG), cellobiohydrolase (CBH), β-N-acetylglucosaminidase (NAGase), aryl sulfatase (AS), acid phosphatase (AP), alkaline phosphatase (AlP), glycine aminopeptidase (GAP), leucine aminopeptidase (LAP), and peroxidase (PER). PLFA results revealed a significant increase in total microbial biomass in limed area compared to unlimed soil samples. Microbial biomass decreased during the first two weeks of storage and remained unchanged thereafter for both limed and unlimed samples. Analysis of microbial activities revealed that most enzymes inconsistently decreased over time during storage at 4°C. Activities of BG, CBH, NAGase, AlP, AS, GAP, LAP were significantly higher in limed compared to the unlimed samples. Overall, the levels of activities of most enzymes in limed soils decreased significantly after the second week of storage and remained unchanged thereafter. The reduction of enzyme activity in the unlimed soil samples varied over time, with some enzymes such as LAP increasing on the sixth week. PER activity decreased after two weeks and increased thereafter.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".