AGE DETERMINATION AND GROWTH OF HUDSON RIVER ATLANTIC STURGEON, ACIPENSER OXYRINCHUS
Bibliographic record
Abstract
Atlantic sturgeon (Acipenser oxyrinchus) are a large anadromous fish which is especially vulnerable to overharvesting owing to its late age of maturity and low rate of reproduction. Age determination methods and growth rates are poorly described for this spe- cies. Pectoral-fin spine sections and sag- ittal otolith sections were examined to determine whether one of these struc- tures would be useful in estimating the age and growth of Atlantic sturgeon. Otoliths have been difficult to collect, process, and interpret. Interpretation of annuli in sectioned pectoral spines has proven to be an unbiased method for aging juvenile and adult Hudson River Atlantic sturgeon. Marginal incre- ment analysis has indicated an annual cycle of annulus deposition. Microchem- ical analysis with an electron micro- probe of the periphery of fin spines has shown seasonal patterns of calcium and phosphorus concentrations related to the translucent and opaque zones of the annuli. Formation of yearly annuli was verified in 4-year-old laboratory-reared sturgeon. Von Bertalanffy growth models (based upon fin-spine interpretations) were fitted for the Hudson River popu- lation. Models predicted a more rapid growth rate for males than for females (females: K=0.07, L∞=251 cm; males: K=0.25, L∞=180 cm). Females, however, attained a greater maximum age (42 yr) and size (TL=277 cm). We believe that exploitation has had a large but unquan- tifiable bias on growth estimates for male and female Atlantic sturgeon. As the Hudson River population recovers, age structure and growth rate estimates should be refined to predict population recovery rates more accurately in the absence of a directed fishery. Atlantic sturgeon (Acipenser oxyrin- chus) are a large anadromous fish that ranges the East Coast of North America and spawns in rivers from Florida to Canada. Population levels throughout the range of the species declined appreciably in the late 19th
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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 | 0.000 | 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) | 0.017 | 0.001 |
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".