A review of <i>Agrilus cuprescens</i> (Ménétries, 1832), the rose stem girdler, in North America
Bibliographic record
Abstract
Abstract Agrilus cuprescens (Ménétries, 1832), the rose stem girdler, is a Palearctic Buprestidae (Coleoptera) pest of Rosa and Rubus species. Its introduction and consequent spread across North America may now make it the most widely distributed Agrilus species, globally. No evidence reviewed indicated A. cuprescens was present in North America long before it was first reported on Rosa in New Jersey, USA, in 1913. The species incrementally progressed westward, reaching the Pacific coast in Washington, USA, 101 years later. Future spread is most likely within the northern Canadian prairies and the Pacific Northwest regions. Its presence in the latter region poses a contemporary threat to epicentres of Rubus production in both the United States and Canada. As of 2022, confirmed spread within the region extended nearly to the Canadian border in Washington and the southern Willamette Valley in Oregon. The most comprehensive, foundational investigations of A. cuprescens in North America were conducted in the late 1930s and early 1940s in New York, USA, and in Utah, USA, during the late 1950s and early 1960s following damaging outbreaks on Rubus . Ongoing research in the Pacific Northwest is attempting to refine information on this pest as it progresses towards naturalization within a new North American ecological and agricultural context. This review aggregates and clarifies the geographical progression, biological understandings and management of this species in North America, which has been fraught with a convoluted history of misidentifications, and varying degrees of consideration given to it as a pest of concern.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".