Disturbance and nutrient availability drive absinthe (<i>Artemisia absinthium</i>) invasion in a native rough fescue grassland
Bibliographic record
Abstract
Understanding plant invasion is a critical issue in the conservation of native grasslands. Diverse and productive plant communities may inhibit invader establishment via biotic resistance, whereas disturbances may facilitate invasion by weakening resistance. These factors may also interact, yet their combined effects on invasion are unclear. Absinthe (Artemisia absinthium) is an invasive herbaceous species of North American grasslands that can impact biodiversity and forage production, yet little is known about its invasion ecology. To fill this gap, we established an experiment manipulating disturbance via herbicide and fire, as well as resources via fertilizer addition, to explore mechanisms of absinthe invasion into native grassland. We transplanted absinthe seedlings into treated plots, then measured survival and growth along with changes in the plant community. Absinthe survival was approximately 65%, except in undisturbed plots with added fertilizer where it was reduced by 50%. High survival also corresponded with the abundance of other invaders suggesting potential facilitation among invaders. Absinthe growth, conversely, was higher in disturbed plots especially when fertilizer was added. Combined, these results indicate that productive communities may have greater biotic resistance to absinthe invasion but that, when disturbed, these communities are at the greatest risk.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".