Meta-analysis of the effects of soil warming on soil respiration in forest ecosystems.
Bibliographic record
Abstract
No consensus has emerged on the sensitivity of soil respiration to increasing temperatures under global warming due partly to the lack of data and unclear feedbacks. our objective was to investigate the general trends of warming effects on soil respiration. this study used meta-analysis as a means to synthesize data from eight sites with a total of 140 measurements taken from published studies. the results presented here suggest that average soil respiration in forest ecosystems was increased approximately by 22.5% with escalating soil temperatures while soil moisture was decreased by 16.5%. the decline in soil moisture seemed to be offset by the positive effects of increasing temperatures on soil respiration. therefore, global warming will tend to increase the release of carbon normally stored within forest soils into the atmosphere due to increased respiration. KeY worDs: forest ecosystem, meta-analysis, soil respiration, soil warming
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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 | 0.027 | 0.033 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.027 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".