ASSESSING SOIL RESPIRATION AS AN INDICATOR OF SOIL MICROBIAL ACTIVITY IN RECLAIMED METAL CONTAMINATED LANDS
Bibliographic record
Abstract
Mining, roasting as well as smelting of these elements have caused sulphur dioxide fumigations and metal particulate depositions which have led to various detrimental effects on the overall environmental quality of the Greater Sudbury region. Soil amendment and revegetation within the Greater Sudbury Region were initiated to restore the damage land. Several methods have been used to assess the progress made toward full ecosystem recovery. Soil respiration rates are particularly critical in the assessment of soil health. They reflect the complete extent of biological activity of living microorganisms in the soil. Bacterial and fungal the main biological soil components are functionally important and must be properly determined. The objective of the present study was to measure soil respiration and health in limed and unlimed areas in the Northern Ontario (Canada) region. The results confirm that the liming did maintain an increase in soil pH from extremely acid to slightly acid, even 30 to 40 years after dolostone applications. Fungi were more abundant in limed sites compared to unlimed areas. Soil respiration based on CO2 rate followed the same trend. Respiration rates for the reference sites were similar to those documented for the limed areas. Summer soil respiration rates were associated (r = 0.50) with total fungal abundance in the targeted sites. Overall, the Solvita test of assessing soil respiration and determining microbial mass and soil quality is a reliable and cost effective method.
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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 | 0.000 | 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 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".