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Record W7045990118

Conservation and Ecological Genetics of White Sturgeon in the Upper Columbia River

2024· other· en· W7045990118 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship (California Digital Library) · 2024
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
FundersBonneville Power AdministrationGenome Center, University of California, DavisNational Institutes of HealthUniversity of California, DavisBC Hydro
KeywordsSturgeonOverfishingHabitatPopulationSan JoaquinPredationEndangered speciesHabitat destructionApex predatorWildlife conservation
DOInot available

Abstract

fetched live from OpenAlex

Sturgeons (Acipenseridae) comprise an ancient fish lineage, appearing in the fossil record with their current morphology in the Cretaceous period (~100 mya). There are 25 extant species, which inhabit rivers and estuaries across Eurasia and North America. They are large and long-lived fish, with most species exhibiting adult lengths beyond two meters and lifespans on the order of a century, and display varying levels of polyploidy across (and to a lesser extent within) species. Sturgeons are slow growing, with the onset of reproductive maturity occurring well past ten years of age in most species. They are among the most imperiled groups of animals, with all species being of conservation concern and 16 being critically endangered, a result of anthropogenic pressures being especially detrimental to taxa with long reproductive cycles. Pressures driving sturgeon declines include overfishing for caviar and meat, dam-induced habitat fragmentation and degradation, predation of early life stages by invasive species, and pollution of watersheds. Extirpation has been prevented in multiple species through conservation aquaculture, in which captive-reared offspring, usually produced from broodstock, are released to bolster wild populations.Conservation aquaculture is conducted for multiple populations of the white sturgeon (Acipenser transmonstanus), which inhabits the Columbia, Fraser, and Sacramento-San Joaquin River basins of western North America. For this species, this measure largely addresses insufficient recruitment resulting from excess mortality in early life stages, which has been linked to dam-induced habitat impacts and predation by invasive species. A conservation aquaculture program targeting the Upper Columbia River population transitioned from broodstock-produced offspring to offspring collected as embryos and larvae from wild spawning events, as the latter approach can potentially represent more parents and greater genetic diversity than the former. Here I present my analysis of this program to evaluate genetic diversity preservation and identify practices that maximize such preservation. First, I demonstrate best practices for sibship inference with polyploid taxa so that spawners represented by wild-origin offspring cohorts can be accurately quantified. Next, I display my genetic evaluation of the conservation aquaculture program, establishing that its utilization of wild-origin offspring has represented far more spawners than its previous broodstock approach and has effectively captured the wild population’s level of genetic heterozygosity. In this evaluation, I further show that mortality of offspring in aquaculture has caused mild to moderate declines in spawner representation and that downstream larval dispersal resulted in little redundancy in sibling families collected from different sites. Finally, I present parentage analysis between wild-origin aquaculture offspring and wild adults, identifying individual adults as having contributed to recorded spawning events from which offspring were collected. Through this approach, I document incomplete spawning site fidelity and females spawning significantly less frequently and for much shorter durations than males, illustrating the significance of collecting offspring across spawning sites, spawning periods, and years to maximize spawner representation in conservation aquaculture. These results directly inform adaptive management of this program and highlight practices maximizing genetic diversity preservation that can be applied to conservation aquaculture of imperiled populations of sturgeons across the world.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score0.558

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.012
GPT teacher head0.225
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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