Seral changes in ant (Hymenoptera: Formicidae) assemblages in the sub‐boreal forests of British Columbia
Bibliographic record
Abstract
Abstract Despite their ubiquity, ant assemblages in the sub‐boreal forests of British Columbia, Canada, are largely unknown. Ant assemblages and area densities of species colonies were characterised in lodgepole pine‐leading forests through strip‐plot hand sampling of coarse woody debris ( CWD ), with species richness supplementation through pitfall trapping and mini‐Winkler sampling of forest floor litter, over five seral ages. Seventeen species of ants were identified across all seral ages. Ant assemblage dissimilarity (non‐metric multidimensional scaling) determined from CWD (i.e. ordination separation between sites) decreased through early seral ages then began to increase in later seral ages. Despite a species richness curve superficially consistent with competitive exclusion developing in later seral ages, the overall decline in all species abundances with advancing seral age, the low colony densities, and the persistence of only an ecologically subordinate species in the oldest seral age, argued against competitive exclusion and for a thermally based hypothesis of evolved species tolerance. Successional facilitation and examples of the role of individual life history characteristics were also noted with seral progression.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".