Experimental evidence for species‐specific response to turbidity in imperilled fishes
Bibliographic record
Abstract
ABSTRACT The use of non‐lethal experiments to elucidate behavioural and physiological thresholds to environmental stressors can provide valuable data for identifying threats to, and critical habitat of, imperilled species. Increased turbidity contributes to population declines and loss of fish diversity globally, but the complex direct and indirect effects of this stressor on imperilled species are not well understood. Response to turbidity was examined in a group of closely related North American fishes ( Notropis spp.), including four imperilled shiners: pugnose shiner ( N. anogenus ), bridle shiner ( N. bifrenatus ), blacknose shiner ( N. heterolepis ), blackchin shiner ( N. heterodon ), and the more common mimic shiner ( N. volucellus ). Two experiments quantified (i) the behavioural response of each species to progressively increasing turbidity, and (ii) critical swimming speed of fishes acclimated in turbid‐ and clear‐water treatments to provide insights into effects of low turbidity on aerobic performance. Very low levels of turbidity (<10 NTU) altered schooling behaviour of pugnose and bridle shiners, both imperilled. Critical swimming speed was lower in pugnose shiner acclimated to low turbidity than fish acclimated to clear waters, while the opposite pattern was observed in bridle shiner. Low turbidity did not affect behaviour or critical swimming speed in the other three shiner species, suggesting that they are more tolerant of low levels of turbidity. The demonstration of alterations in ecologically significant measures of behaviour and performance in the pugnose and bridle shiners, provides evidence required to identify and implement conservation and recovery actions related to turbidity of human origin. In addition, it is suggested that species‐specific responses should be evaluated, where possible, when defining critical habitat. Copyright © 2014 John Wiley & Sons, Ltd.
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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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".