Biodiversity And Seasonality Of Pyraloidea (Lepidoptera) In The Woody Savannah Belt In Mali
Bibliographic record
Abstract
Seventy-nine species of Pyraloidea moths were collected from light traps in the vicinity of Bamako in Mali during 2014. Thirty-one species—for which over 10 specimens each had been trapped—were chosen for analysis of their seasonal dynamics. According to the similarity in their patterns of seasonal flight, three clusters were recognized by non-metric MDS ordination: (1) The beginning of the rain season was associated with a peak in several multivoltine, widespread, and highly abundant species, thus reducing to a minimum both the effective number of species index and index of evenness. In the middle of the rain season, the number of both species and specimens was low, probably reflecting the period of larval development for most of the species; (2) The first half of the wet–dry (transitional) season featured the highest diversity and highest evenness in the representation of species. More than half of 31 species are univoltine in the study region, and thus were found only during this period. All the species are Afrotropical or Paleotropical in their general distribution; (3) A group of 10 species peaked during the dry season. Five of these also occurred earlier, while the other five were specific to the dry season: A. simplella, B. asialis, P. phoenicealis, A. calligrammalis, and P. pictalis.
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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 | 0.001 |
| 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".