Survey of Shoot Damage Caused by the Exotic Pine Shoot Beetle in Michigan Pine Stands
Bibliographic record
Abstract
Abstract The exotic pine shoot beetle, Tomicus piniperda [L.] (Coleoptera: Scolytidae) is a Eurasian pest of pines that was first discovered in North America in 1992 near Cleveland, Ohio. It has since been found in at least 72 counties in Michigan, 285 additional counties in 11 other north central and eastern states, and the provinces of Ontario and Quebec. We counted injured shoots along linear transects in ten stands of Scotch (Pinus sylvestris L.), red (Pinus resinosa Aiton), and jack pine (Pinus banksiana Lambert) in lower Michigan (30 stands total) to estimate the frequency of shoot damage attributable to pine shoot beetle, other shoot-feeding insects, weather, and other damaging agents from 1997 to 1999. Fifteen of the stands were located in southwestern counties where pine shoot beetle has been established for at least 8 to 10 yr. The other 15 stands were in northern counties where pine shoot beetle establishment is more recent. In the southwestern stands, pine shoot beetle killed significantly more shoots in Scotch pine stands than in red or jack pine stands, and injured more shoots in Scotch pine stands than all other insects combined. Two of these Scotch pine stands were near an area with an abundance of Scotch pine brood material available to parent beetles. Damage in these two stands averaged roughly 10 to 12 shoots per m2 in 1998 and 1999, compared with 0.6 to 1.6 shoots per m2 in other Scotch pine stands, and less than 0.2 shoots per m2 in nearby red or jack pine stands. Pine shoot beetle was at very low or undetectable levels in northern stands in all years. Shoots injured by three other shoot-feeding insects were occasionally encountered, most often in red pine stands, but caused an insignificant amount of damage. With the exception of the southwestern Scotch pine stands, most of the shoot damage, particularly in northern jack pine stands, was attributable to squirrels or abiotic factors such as wind, ice or snow. North. J. Appl. For. 18(4):101–109.
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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 | 0.001 | 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".