Size matters: systematic and ecological implications of allometry in the responses of chironomid midge morphological ratios to experimental temperature manipulations
Bibliographic record
Abstract
Separated populations of wide-ranging ectothermic species may be subjected to differing ambient environmental regimes, with consequences for adult size and related allometric characteristics. We investigated effects of environmentally induced size variation in freshwater Australian Chironomidae (Diptera) on several morphometric ratios used to account for such variation in taxonomic classification. Echinocladius martini Cranston, 2000 (Orthocladiinae) and Australopelopia prionoptera Cranston, 2000 (Tanypodinae) larvae were sampled from tropical and temperate populations separated by approximately 1800 km, and reared to adult at temperatures representing the continent-wide range encountered by these species. Additionally, adults were sampled regularly from a field population to assess seasonal variation. Body size was related inversely to rearing temperature for both species. Nonlinear (allometric) relationships were observed consistently between body size and ratios pertaining to the antennae (AR, the ratio of the terminal to subapical flagellomeres) and legs (BV, the ratio of proximal segments to distal tarsomeres), demonstrating that these ratios inadequately factor out within-species, size-related divergence. Responses of other ratios varied erratically with sex, species, and population. We advocate cautious use of these ratios in taxonomy and phylogenetic reconstruction. We discuss possible adaptive significance of allometry in the male antennae related to the "tuning" of sound-sensitive structures to the expected terrestrial environment encountered at emergence.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".