Nutrient availability and invader density regulate the diversity–invasibility relationship mediated by soil microbes
Bibliographic record
Abstract
This dataset accompanies a study examining how native plant diversity, nutrient availability, and invader density interact to influence the growth of the invasive plant Phytolacca americana via soil microbial mechanisms in a temperate forest ecosystem. The dataset includes (1) aboveground biomass data of P. americana grown in soils conditioned by varying native plant diversity levels (1, 3, or 6 species), under different nutrient conditions (fertilized vs. non-fertilized) and invader planting densities (1, 2, or 4 individuals); and (2) soil fungal community data derived from high-throughput sequencing, including taxonomic profiles (from phylum to genus) and functional classifications assigned using FUNGuild (e.g., saprotrophs, pathogens, symbionts). These data support analyses of how plant–soil feedbacks and soil microbial composition mediate invasion success, and are valuable for researchers in the fields of invasion ecology, soil microbiology, and plant–microbe interactions.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.059 | 0.038 |
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".