Optimization of effects-assessment of greenside darter (<i>Etheostoma blennioides</i>) exposed to tertiary treated municipal wastewater based on seasonal changes of reproductive endpoints
Bibliographic record
Abstract
The present study describes the seasonal changes in reproductive endpoints of the greenside darter (Etheostoma blennioides) and its implications for environmental monitoring. Fish collections conducted at the appropriate time for the site-specific sentinel fish species can provide a wide variety of population-level information including recruitment, reproduction, and energy storage. The objectives of the present study were to: 1) characterize seasonal changes in reproductive endpoints of the greenside darter (both sexes) to determine the appropriate period for monitoring of this sentinel species; and 2) evaluate the effect of exposure of this sentinel species to tertiary treated municipal effluent at the selected monitoring period. Based on the selected parameters (gonadosomatic index [GSI], liver somatic index [LSI], condition factor, and in vitro gonadal steroid production [testosterone (T) in both sexes; estradiol (E2) in females; and 11-ketotestosterone (11KT) in males]), the present study provides evidence for the value of collecting darters during recrudescence (late fall/early winter) to ensure temporal stability, minimum variability, and stable steroid production capacity. Darters exposed to tertiary treated municipal effluent tended to be larger and heavier relative to reference fish but did not demonstrate any consistent responses in terms of condition or relative liver size. No effect on gonadal development was observed, even though these tertiary-effluent-exposed fish demonstrated a significant reduction in the ability to produce hormones. The present study suggests that although fish exposed to tertiary treated effluent demonstrate no population-level effects, they are still responding at a physiological level. Documentation of the reproductive cycle of sentinel species allows for selection of the most appropriate sampling period to reduce variability and greatly enhances the reliability and interpretation of biological responses.
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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".