Comparing the effect of habitat on the magnitude of inbreeding depression in the Mediterranean native <i>Senecio malacitanus</i> and the alien <i>S. inaequidens</i>: consequences for invasive ability
Bibliographic record
Abstract
We studied the effects of inbreeding depression and the level of self-compatibility on overall fitness parameters in the invasive species Senecio inaequidens DC. and the native Senecio malacitanus Huter, in plots with and without interspecific competition by natural vegetation. Competition had a stronger effect on fitness parmeters for both species, but it mostly affected the survival of S. malacitanus during the first year, and particularly the survival of individuals issued from inbred crosses. Inbreeding depression decreased the seed production in both species. Summer drought in the second year reduced the fitness of all inbreeding levels, masking the effect of inbreeding.The alien species had a shorter pre-reproductive time, a greater head production, and greater resistance to competition from established vegetation. In addition, a negative relationship was found between inbreeding coefficient and herbivory in the native species only. All these factors may help to explain the invasive ability of S. inaequidens. The magnitude of inbreeding depression and the environmental conditions can thus determine the success or failure of an invasion.
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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 | 0.000 | 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 | 0.000 |
| 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".