Influence of Expansiveness of Select Plant Species on Floristic Diversity of Meadow Communities
Bibliographic record
Abstract
The aim of our investigations conducted on grasslands situated in the region of Wielkopolska was to analyze changes in the occurrence of selected plant species in the sward of meadow communities, to determine causes of their expansion and the impact on natural and useful values of these plant complexes. The occurrence of Deschampsia caespitosa, Holcus lanatus and Cirsium arvense from meadow communities was subject to comparative analysis. The behaviour of the above species, described as aggressive, was analyzed on the basis of changes in the frequency of their occurrence (i.e. constancy degree) in communities and the achieved ground covering coefficient. In addition, causes and consequences of the expansive behaviour of the analyzed plant species were assessed. The expansive behaviour of Deschampsia caespitosa, Holcus lanatus and Cirsium arvense is associated, on the one hand, with the occupation of new sites and, on the other, with a significant increase in the proportion of these species in the sward as evidenced by the obtained values of the ground-covering coefficient. The spreading the analyzed plant species results from the direct or indirect anthropo-pressure on sites and vegetation type of meadow communities. The discussed expansive species – course hairgrass, velvet grass and Canadian thistle – occurring in grass communities, especially during longer time intervals, exert unfavourable influence on their natural and use values.
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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 | 0.001 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".