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Record W7133272139

Okanagan Sockeye

2024· other· en· W7133272139 on OpenAlexfundno aff
Fisheries and Oceans Canada, Pêches et Océans Canada, Okanagan Nation Alliance

Bibliographic record

VenueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersFisheries and Oceans Canada
KeywordsHabitatEscapementPopulationStock (firearms)Carrying capacityRange (aeronautics)Fish habitat
DOInot available

Abstract

fetched live from OpenAlex

Okanagan Sockeye salmon make up a single stock management unit (SMU), which contains a single conservation unit (CU) with three distinct spawning populations; these rear in Osoyoos Lake, Skaha Lake, and Okanagan Lake. Naturally returning spawners were re-established in Skaha Lake in 2011 and in Okanagan Lake in 2022, due to modifications to access barriers that allowed passage. The current escapement goal for Okanagan Sockeye salmon was set at 35,500 based on Hyatt and Rankin’s (1999) study, but that target has since been exceeded in 12 of the past 20 years for the Osoyoos Lake population alone (2004-2023). Furthermore, improvements in water management, changes in stock assessment, habitat restoration, and range reintroduction due to improved fish passage have fundamentally changed the structure of, and our understanding of, the stock. Therefore, it no longer reflects the capacity of the habitats available to Sockeye salmon in the Okanagan basin. Estimates of current habitat capacity, and potential reference points, were explored using three alternative approaches: (1) spawning habitat capacity estimates based on detailed habitat mapping of flow and gravel sizes (all three lakes); (2) rearing habitat capacity estimates based on in-lake sampling (e.g., stomach contents) and food web modeling (Osoyoos and Skaha Lakes); and (3) estimating reference points based on spawner-recruit models (Osoyoos Lake). Estimates of spawning habitat capacity were found to be the most appropriate approach for determining population status and candidate management reference points, because consistent and reliable estimates could be developed for all three populations. Median spawning habitat capacity for all three populations combined ranged from 180,754 to 205,588. Wild Salmon Policy (WSP) status was evaluated for the combined spawner time series for Osoyoos and Skaha lakes, based on four standard metrics (relative abundance, absolute abundance, long-term trend and percent change over three generations) and associated benchmarks using established methods. The final status was assessed as Amber with high confidence. However, the CU faces serious threats from climate change and is at high risk of declining into Red status in the near future. The Okanagan Sockeye salmon SMU, which contains one CU that is not currently Red status, is considered to be above the Limit Reference Point (LRP) under the Fish Stock Provisions of the modernized Fisheries Act. Habitat-based estimates of the number of spawners that maximizes recruits (SMAX; corresponding to full use of the available spawning habitat) for all three lakes were used to identify candidate management targets for the Okanagan Sockeye SMU. A candidate target range of 96,000-135,000 spawners would approximate an escapement goal based on SMSY (as 50-70% SMAX). A candidate target range of 192,000-231,000 spawners could be used to represent a goal of maximizing total production (100-120% SMAX). Escapement goals specific to each lake population are also estimated and provided. Okanagan Sockeye salmon are already being impacted by climate change. Climate change effects will likely increase the frequency of adverse conditions throughout their lifecycle (e.g., thermal barriers during adult return migration, increased egg mortality due to freezing). Preserving diverse phenotypes may increase long-term resilience and should be considered as part of management planning.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.876
Threshold uncertainty score0.246

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0360.006

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 head0.009
GPT teacher head0.240
Teacher spread0.231 · 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 designNot applicable
Domainnot available
GenreOther

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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Same venueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du CanadaFrench-language works237,207