Translocation as a mitigation tool: Demographic and genetic analysis of a reintroduced lake sturgeon (<i>Acipenser fulvescens</i>Rafinesque, 1817) population
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Bibliographic record
Abstract
This study assessed the establishment success of a translocation of adult lake sturgeon (Acipenser fulvescens) upstream of a hydroelectric dam in northern Ontario, Canada, using demographic and genetic data from juveniles and adults. The objectives of this study were to (i) assess the size and demographic structure of the reintroduced population; (ii) determine if juveniles are present; (iii) assess the genetic diversity of the reintroduced and source populations; and (iv) determine whether translocated adults are related to juveniles within the population. Gillnet and trotline sampling in multiple years (2002–2003; 2011–2016) resulted in the capture of many juveniles (n = 126) and some adults (n = 13) at the release site and downstream. The first fin ray of the left pectoral fin was collected for ageing and genetic analysis, and individuals were genotyped at 15 microsatellite loci. Age interpretations from the juvenile samples showed consistent cohorts starting in 2007 (2006–2012). Successful reproduction and recruitment by translocated adults was confirmed through genetic parentage analysis of microsatellite data, which linked juveniles to parents that had retained tags from the original translocation. Based on the microsatellite data, the genetic diversity of the reintroduced population (HO) was comparable to its source (HO = 0.57 ± 0.07 and 0.53 ± 0.06, respectively), although its estimated effective population size (Ne) was lower (Mattagami = 20.4 [13.5–30.5]; Adam's Creek = ∞ [72.0–∞]). These results suggest that the experimental translocation of wild adult lake sturgeon was successful, and highlight the value of treating translocation efforts as experimental reintroductions.
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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) | 0.000 | 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 it