Degree of invasion of Canada goldenrod ( <i>Solidago canadensis</i> L.) plays an important role in the variation of plant taxonomic diversity and community stability in eastern China
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Understanding the impacts of invaders on plant taxonomic diversity and community stability is significant for understanding the mechanisms underlying successful invasion. This study explored the impacts of the invasive plant Canada goldenrod ( Solidago canadensis L.; goldenrod hereafter) with different degrees of invasion on plant taxonomic diversity and community stability by conducting a comparative study in eastern China. Degree of invasion was divided into the following categories, low (<35%, LDI), moderate (35–75%, MDI), and high (>75%, HDI), on the basis of the relative abundance of goldenrod in the invaded plant communities. Plant diversity, dominance, richness, and plant community stability noticeably decreased under HDI but plant diversity and dominance dramatically increased under LDI compared with the adjacent uninvaded plant communities. Plant diversity, dominance, richness, and community stability markedly declined as the degree of goldenrod invasion increased in the invaded plant communities. The greater plant diversity and dominance observed under LDI may be primarily driven by the passenger effects rather than a driving force of the presence of goldenrod. The greater competitive superiority of goldenrod over coexisting native plants under HDI might allow for invasion and enhance the risk of stochastic local extinction of several native species. A significantly positive diversity‐stability relationship was observed, which may explain the underlying mechanisms for the decreased plant community stability and drastic decline in plant diversity under HDI. Accordingly, the degree of invasion of goldenrod plays an important role in the variation of plant taxonomic diversity and community stability in eastern China.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 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 | 0.001 |
| 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 it