Temporal and Regional Trends in Black Bass Release Rates in Minnesota
Bibliographic record
Abstract
Abstract Determining the prevalence of voluntary catch and release occurring in recreational fisheries for black bass Micropterus spp. is important in selecting and evaluating harvest regulations. Voluntary release rates of black bass have increased in some southern U.S. fisheries, but release rates could vary spatially. We used angler interviews from 245 open-water creel surveys conducted on 167 Minnesota bodies of water during 1984–2006 to determine whether black bass release rates differed among anglers specifically targeting black bass and anglers that were not targeting black bass, among geographic regions within the state, and among time periods. Ranked values of release rate did not significantly differ between anglers targeting black bass and anglers not targeting them for any of the four time periods. Before 1990, median black bass release rates were similar in northern and southern regions of the state and did not exceed 80% in either region. During 1990–1994 and 1995–1999, median release rates in the southern region exceeded 85% and the mean ranked release rate observed for 1995–1999 (92%) was significantly higher than during 1984–1989 (76%). Median release rates of black bass also increased in the northern region of Minnesota, but rates did not exceed 85% in any time period and were not significantly different among time periods based on ranked values. Anglers in Minnesota released most of the black bass they caught, but angler harvest of black bass was more prevalent in the northern region of Minnesota; this pattern may reflect regional differences in angler attitudes regarding black bass harvest. Changes in harvest regulations may not affect black bass populations in many waters because anglers voluntarily release most of the black bass they catch, but regulation changes may be more effective in regions where harvest of black bass is more prevalent. Received July 9, 2012; accepted December 26, 2012
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".