Soil Bacterial Community Structure Under Exotic Versus Native Understory Forbs in a Woodland Remnant in Indiana
Bibliographic record
Abstract
Invasions of exotic plants have strong effects on aboveground plant community structure, competitively excluding native plant species and driving down community diversity. Using terminal restriction fragment length polymorphism (TRFLP) analysis of PCR-amplified 16S-rDNA sequences, we characterized eubacterial community structure in soil collected on the Bloomington campus of Indiana University beneath native Canadian wildginger (Asarum canadense L.) and exotic invasive winter creeper (Euonymus fortunei (Turcz.) Hand.-Maz.). Overall indices of eubacterial diversity, richness, and evenness were similar beneath the two plant species. However, multivariate analysis of TRFLP profiles revealed significant differences among plant species in soil eubacterial community composition. Soil pH and water content also varied significantly by plant species. These results are consistent with the hypothesis that invasive exotics can influence belowground community structure, although microbial community composition may be more highly influenced than other aspects of microbial diversity.
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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 | 0.001 | 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".