Changes in the bee fauna (Hymenoptera: Apoidea) of an old field site in southern Ontario, revisited after 34 years
Bibliographic record
Abstract
Abstract We investigated changes in a wild bee community by repeating a detailed historical study of bee biodiversity in Ontario. In 1968 and 1969 (period 1), an inventory of bee species was taken from an old field habitat in southern Ontario. We resampled the bee fauna in 2002 and 2003 (period 2), following the same methods. Bee species richness, diversity, and evenness were significantly greater in period 2, and this was observed in all functional guilds except wood-nesting, pollen specialist, and nonnative bees. In period 2, a total of 150 bee species were found (2002, 98 species; 2003, 143 species), whereas in period 1, a total of 105 species were found (1968, 98 species; 1969, 76 species). Although 90 bee species collected in period 1 were re-collected in period 2, bee community composition was remarkably different between periods, with an estimated community similarity of only 7.5%. Changes in the bee fauna, specifically the increase in the proportions of pollen specialist and wood-nesting bees, might be best explained by changes in the habitat as a result of succession over the intervening 34 years. We compare and contrast our findings of bee community change with the published literature and discuss the possible factors driving the change.
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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 | 0.001 |
| 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".