Breeding out of water: life history adaptations of endemic Andean–Patagonian caddisflies in temporary wetlands
Bibliographic record
Abstract
The association between certain life history traits and species that inhabit temporary aquatic environments is a common pattern among invertebrates. This study examines the life history traits of two endemic genera of Patagonian limnephilid caddisflies that breed in temporary habitats: Verger Navas, 1918 and Austrocosmoecus Schmid. I studied reproductive phenology and egg mass characteristics across five wetlands in northwest Patagonia. A set of experiments was conducted to assess the desiccation tolerance of egg masses. Oviposition occurred between early February and late March; egg masses were found in microhabitats where relative air humidity was at least 50%, temperatures being lower in Austrocosmoecus than Verger microhabitats. Verger egg masses were often observed beneath herbaceous vegetation, while Austrocosmoecus masses were typically found under leaf litter. Egg masses of Verger were smaller than those of Austrocosmoecus but contained more eggs, which were smaller in size; newly hatched Verger larvae were also smaller than those of Austrocosmoecus. The egg masses of both genera demonstrated a degree of desiccation tolerance, but Austrocosmoecus exhibited higher survival rates across all desiccation treatments. Egg masses and early larval stages were found in the dry sediments of all wetlands, suggesting that the latter may act as refuges for these life cycle stages.
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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".