Assessing effects of forest management on microbial community structure in a central European beech forest
Bibliographic record
Abstract
This study aimed to characterize the effects of forest management on soil microbial community structure and function in a European beech (Fagus sylvatica L.) forest. We used community level physiological profiles, phospholipid fatty acid (PLFA) profiles, microbial biomass, culturing, and respiration approaches to quantify soil microbial community structure and activity at two sites in a naturally regenerated beech forest subjected to intermediate and heavy thinning and control (unthinned) in southern Germany. PLFA showed that the northeast-facing (NE) site contained significantly greater bacterial and fungal biomass than the southwest-facing (SW) site. Heavy thinning (tree basal area reduction from 27 to 10 m2·ha–1) significantly reduced microbial biomass in the NE site, measured using fumigation–extraction, but both bacterial and fungal biomass increased with thinning on the SW site. Soil microbial activity was significantly higher in the control plots of the NE compared with the SW site and was significantly reduced by heavy thinning, again only on the NE site. Our findings are consistent with our initial hypotheses that contrasting N uptake by beech on these two sites after thinning may relate to differences in the soil microbial biomass, population structure and function on the two sites.
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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".