Ultralight or Heavyweight? The Interactive Effects of Gear Strength and Air Exposure on Reflex Impairment in Largemouth Bass
Bibliographic record
Abstract
Abstract Although much is known about the factors that influence the effects of catch‐and‐release angling on fish condition and survival, relatively little is known about the effects of fishing gear strength on fight time and, hence, fish condition. Moreover, little is known about how gear strength and fight time interact with air exposure duration to ultimately influence the level of exhaustion experienced by fish at time of release. Here we systematically varied fishing gear strength (ultralight versus medium‐heavy) and air exposure duration (0 versus 120 s) when targeting Largemouth Bass Micropterus salmoides. We relied on reflex impairment (using five different reflexes) as a real‐time indicator of fish condition. Largemouth Bass fight durations were highly variable between fishing gear types and across fish sizes. Largemouth Bass captured on ultralight fishing gear experienced longer fight times, and there was a stronger positive relationship between fish length and fight time than for those captured on heavier fishing gear. However, fish captured using ultralight gear were easier to handle upon landing and thus experienced shorter hook removal times, which may result in less air exposure in actual angling scenarios. Fish captured with ultralight gear had significantly higher reflex impairment than those captured with heavy gear with no air exposure, while fish captured with both gear types had similarly high reflex impairment when exposed to the air. These results indicate that gear strength does influence the level of exhaustion experienced by Largemouth Bass. However, fish that are landed quickly are so vigorous that handling and hook removal are challenging. We submit that there is likely a compromise where neither ultralight nor ultraheavy gear (always relative to the size and species targeted) is appropriate. Moreover, our findings emphasize the importance of minimizing air exposure, particularly for fish that are exhausted already from a protracted fight. Received December 29, 2015; accepted June 24, 2016 Published online September 30, 2016
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".