An experimental study of wetland invasibility by purple loosestrife (<i>Lythrum salicaria</i>)
Bibliographic record
Abstract
We examined the effects of vegetation and herbivores on the seedling establishment, survival, and inflorescence mass of purple loosestrife (Lythrum salicaria L.), a Eurasian plant that invades North American wetlands. The study was conducted in a stand of reed canary grass (Phalaris arundinacea L.). All grass was removed experimentally from 1.2 × 1.2 m plots to simulate a disturbance. The establishment of sown seeds was compared in disturbed and undisturbed plots. Fifty-three percent of seeds became established in disturbed plots, while no seedlings became established in undisturbed plots, suggesting that disturbance is required for wetland invasion by L. salicaria. In plots without grass, the effect of herbivores on Lythrum's survival and inflorescence mass (i.e., sexual reproduction) was assessed by excluding herbivores from some plots but not from others. After two growing seasons, Lythrum's survival did not differ significantly between plots with herbivores excluded (100% plant survival) and plots with herbivores not excluded (60-80% plant survival). However, only plants protected from herbivores produced inflorescences. Mammals such as deer and rodents ate the shoot tips of unprotected plants, which prevented terminal inflorescences from being produced. These results only partly support the claim that North American herbivores are ineffective predators of L. salicaria. One mechanism underlying wetland invasion by L. salicaria is likely a combination of disturbance permitting seedling establishment and insufficient herbivory in disturbed areas to prevent newly established plants from surviving.
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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 | 0.001 |
| 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".