Spatial and temporal analyses of bark beetle population dynamics in southern British Columbia: Stand-level studies of the bole-infesting assemblage during eruptive transitions of mountain pine beetle, Dendroctonus ponderosae Hopkins.
Bibliographic record
Abstract
Factors that trigger population transitions of mountain pine beetle from endemic to incipient-epidemic levels are poorly understood. The population dynamics of this insect may be influenced by associations with trees colonized by other bark beetles. This study explores the spatial and temporal relationships between mountain pine beetle and non-eruptive bark beetle species in lodgepole pine stands of southern British Columbia. Increasing populations of non-eruptive bark beetles were positively correlated with each other, and with endemic mountain pine beetle. Endemic and incipient-epidemic levels of mountain pine beetle were often positively spatially associated with the bark beetles Pseudips mexicanus, Orthotomicus latidens, Ips pini, and Hylurgops species, which themselves frequently colonized the same host trees. As populations grew, mountain pine beetle shifted from attacking injured/previously colonized hosts to uncolonized hosts. Identifying these potential triggers of population phase transitions may help prevent future epidemics in areas of economic importance. --P.ii.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".