Data for: Implications of climate change for biocontrol efficacy across the northern range of the invasive plant Linaria dalmatica
Bibliographic record
Abstract
The effect of insect biological control agents on invasive plant populations can vary spatially, and spatial variation in climate may drive regional variation in herbivory, and thus biocontrol efficacy. Within host plant populations, local plant abundance can also be affected by the spatial distribution of herbivores, but whether local patterns persist at larger scales is less well understood. We examined how infestation and damage of the stem-mining weevil <em>Mecinus janthiniformis</em>, a specialist biocontrol agent of the invasive plant <em>Linaria dalmatica</em>, varied with and among populations across the northern edge of the range in North America. We quantified weevil and invasive plant densities, as well as plant fecundity, stem diameter and height across sites spanning an area of ~39,000 km<sup>2</sup> in British Columbia, Canada. We found that specialist weevils did not respond to host plant density within sites across the study region. Instead, weevil attack and load were most sensitive to among-site variability in climate, with stems at warmer sites have four times as many weevils compared to stems at cooler sites. Weevils also reduced plant fecundity more at warmer sites, when controlled for plant size (stem diameter) with larger effects of weevils in thicker stems, indicating that <em>L. dalmatica</em> suppression is highest in warmer locations where weevils are more abundant and environmental conditions more favorable. Our results suggest that, with climate change, the efficacy of biocontrol for <em>L. dalmatica</em> will improve across the northern edge of the range. We recommend that at cooler sites, where biocontrols are less prevalent and effects on plant fecundity are weaker, alternative management strategies are necessary at this time. Across invasive plant species more generally, future studies that establish the role of climate in variability in biocontrol efficacy long after introduction can improve management of invasive plants under climate change.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| 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".