Recruitment Pattern, Virtual Population Analysis (VPA) and Exploitation Status of <i>Coilia nasus</i> Exploited in the Poyang Lake through the Yangtze River Waterway, Jiangxi Province, China
Bibliographic record
Abstract
In order to ascertain the population dynamics of Coilia nasus , a study was conducted to investigate the growth parameters, mortality and recruitment pattern of C. nasus collected in the Poyang Lake through the Yangtze River Waterway fish landing site, northern part of the Poyang Lake. C. nasus were collected from April to July ( C. nasus Only can be fished in reproductive season in the Poyang Lake through the Yangtze River Waterway, and our investigation including the whole breeding season) three years in a row, 2012-2014. Individuals of C. nasus were collected from locations, the length-frequency data was analyzed using FAO-ICLARM Stock Assessment Tools (FiSAT) software. Bhattacharya’s plot produced one group of C. nasus at modal length 25.00 ± 1.32 cm. Population parameters were estimated by using various models including Powell-Wetherall plot, ELEFAN I, growth performance index, mortality estimation and recruitment pattern. Overall, growth parameters, asymptotic length (L∞) = 40.95cm and growth coefficient (K) = 0.25 year-1. Growth performance index(O′) =2.62, total mortality (Z) = 1.58 year-1, natural mortality (M) = 0.54 year-1, fishing mortality (F) = 1.04 year-1 and exploitation rate (E) = 0.66year-1. The length at first capture at 50%, (Lc) was 22.84cm. The observation of the annual recruitment of C. nasuswas found to occur from March to July. The Y′/R analysis showed that Epresent > E 0.5 , which exceeded the optimization (Eopt) criterion of 0.5 for sustainable exploitation of fisheries, so this species was over-exploited in Poyang Lake.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".