Context-dependent life-history variation in a pond snail (<i>Lymnaea elodes</i>) exposed to desiccation and a sterilizing parasite
Bibliographic record
Abstract
:In this study we used a combination of field monitoring and laboratory experimentation to investigate the effects of desiccation and Echinostoma revolutum infection on life-history traits of the pond snail, Lymnaea elodes. Field-collected snails demonstrated a sharp decline in survivorship within 8 weeks of pond drying. Results from a corresponding laboratory experiment, where snails were exposed to parasites prior to aestivation, demonstrated that desiccation played a more important role in snail survival than E. revolutum infection. However, infection influenced host growth patterns as aestivated-infected snails were significantly larger at the end of the experiment relative to aestivated controls. In a second laboratory experiment, exposure after a period of aestivation resulted in higher levels of infection compared to snails that were continuously hydrated. Moreover, exposed-uninfected snails demonstrated higher mortality than either control or infected snails regardless of aestivation treatment. Results from this work 1) demonstrate the importance of incorporating multiple variables into life-history studies and 2) provide insight into the factors underlying host-parasite dynamics in the field.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".