Adaptation of the Developmental Process of <I>Anaphes victus</I> (Hymenoptera: Mymaridae) to Local Climatic Conditions across North America
Bibliographic record
Abstract
Anaphes victus Huber (Hymenoptera: Mymaridae), an egg parasitoid of weevils (Curculionidae), has a North American distribution and displays genetic variability among populations from different locations. Local adaptation to temperature was compared among three A. victus ecotypes originating from different latitudes: Texas, Michigan, and Québec. Development occurred between 11.5 and 34.0°C for all ecotypes and was accurately described by sigmoid curves. Some adaptations of A. victus to local climatic conditions were found, because the Texas ecotype had a higher developmental rate at the temperature of maximal developmental rate (Tm) than both northern temperate ecotypes and it developed faster at high temperatures. In contrast, the ecotypes from Michigan and Québec displayed faster developmental rates at low temperatures. In contrast to the Texas ecotype, both northern ecotypes have Tm values above the average maximum temperatures of their original habitat. These results are discussed in the context of evolutionary constraint that could have restricted the adaptation of the developmental process in A. victus. Lower developmental thresholds were similar across ecotypes and sexes, an indication that this parameter may not be subjected to local adaptation. For each ecotype, males required fewer degree-days than females to complete their immature development.
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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".