Natural History of<i>Tetrapedia diversipes</i>(Hymenoptera: Apidae) in an Atlantic Semideciduous Forest Remnant Surrounded by Coffee Crops,<i>Coffea arabica</i>(Rubiaceae)
Bibliographic record
Abstract
Exotic plants can alter habitat composition and reduce the diversity of pollinators by competing with native species for resources. In a forest fragment surrounded by coffee crops, Coffea arabica L. (Rubiaceae), in southeastern Brazil, the life history of the oil-collecting bee Tetrapedia diversipes Klug (Apidae) was studied. Besides providing data on the phenology, nesting biology, and natural enemies of this bee species, we aimed to investigate if the intense mass flowering of coffee trees would attract T . diversipes specimens rather than native plants in bloom. As T. diversipes females nest in preexisting cavities, we displayed in the study site two types of trap-nests: bamboo canes and 5.8- by 0.6-cm black cardboard tubes. The trap-nests were inspected once a month from June 2011 to May 2013 and 494 nests were collected. Tetrapedia diversipes is a multivoltine species. Prepupal diapause occurred in nests collected at the end of the hot and wet season and during the cold and dry season. Nests were attacked by 14 species of natural enemies, and the most abundant species were the cuckoo bee Coelioxoides waltheriae Ducke (Apidae); the bee fly Anthrax oedipus F. (Bombyliidae); and the beetle Nemognatha cf. plaumanni Borchmann (Meloidae). Despite the mass flowering of coffee trees, pollen grains of C . arabica were not found in the pollen analysis. Our study reveals that even in the presence of an abundant source of floral resources of exotic origin, the studied population of T . diversipes preferred to use the native plant species to obtain the necessary resources for their survival.
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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 | 0.000 | 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".