Non-instrumental Real-time Soil Respiration Rate and Soil Microbial Biomass Carbon Determinations
Bibliographic record
Abstract
Soil microbial property is one of the fundamental indicators of soil health and quality, yet it has not been routinely examined in most soil testing protocols most likely due to the inconvenience of the current procedures. This study was initiated to validate a microrespirometry (MicroRes) method on real-time soil microbial respiration rate determinations with an infrared gas analyzer (IRGA) respirometer. The results showed that the two were agreeable (slope = 0.971, r2 = 0.977, n = 24). We then used the MicroRes, in place of an IRGA respirometer, to determine the substrate-induced-maximum-initial-respiration (SIR) microbial biomass carbon (SMBC) on the 63 soil samples collected from 28 states of the US and three provinces of Canada. We also determined the10-day incubation mineralized carbon after rewetting the dried soils on the 63 soil samples. The SIR-SMBC determined correlated well with the 10-day incubation mineralized carbon (slope = 0.688, r2 = 0.816, n = 63). MicroRes is a much simpler and cost-effective alternative to IRGA respirometers in real-time soil respiration rate and SIR-SMBC determinations. Its application makes routine real-time soil microbial property examinations possible under laboratory or filed conditions.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".