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Record W6997132825

Understanding species life-history and ecology for improved conservation and recovery of the threatened Silver Shiner, Notropis photogenis

2022· dissertation· en· W6997132825 on OpenAlexaboutno aff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2022
Typedissertation
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsThreatened speciesNotropisSpawn (biology)PopulationEndangered speciesConservation statusOverexploitation
DOInot available

Abstract

fetched live from OpenAlex

Conservation and recovery strategies are typically developed with the best available information. However, for many imperilled small-bodied freshwater fish species there is often a lack of basic information available on species life-history and ecology, which limits the ability to assess threats and develop comprehensive conservation actions. One species with a paucity of information pertaining to its life-history and ecology is Silver Shiner, Notropis photogenis, a small-bodied freshwater fish species listed as Threatened under Canada’s Species at Risk Act. The goal of this thesis was to provide an in-depth examination of several life-history traits and ecological parameters of Silver Shiner, to better inform conservation and recovery efforts for the species. To achieve this goal, Silver Shiner were collected from Sixteen Mile Creek, Oakville, Ontario, Canada during 2017-2019 and studies were conducted on the growth, survival, fecundity, spawning phenology, thermal occupancy, and diet of the species. Chapter 2 determined that the probable maximum age of Silver Shiner is four years of age. Moreover, the species experienced altered growth and increased adult mortality when occupying urban (0.71 ± 0.05, average mortality ± standard error) compared to non-urban (0.61 ± 0.06) reaches of Sixteen Mile Creek. In chapter 3, logistic regression models were developed that predict spawning phenology in relation to a cumulative thermal cue and indicated a 50% probability that the population initiated and ceased spawning when cumulative growing degrees > 5oC reached 68 °C•days and 368 °C•days, respectively. These models can be used to understand the impact of alterations in the thermal regime on spawn timing. In chapter 4, the first fecundity estimates for Silver Shiner in Canada were provided, ranging from 311-2768 eggs, and previously undocumented parasite infections were observed and quantified during the reproductive period. Chapter 5 developed a species-specific otolith thermometry equation that facilitates future examinations into the thermal occupancy of the species. In Chapter 6, the diet of Silver Shiner was quantified. The species was found to exhibit a generalist diet and consume a wide range of aquatic and terrestrial prey. Based on stomach contents Silver Shiner consumed more terrestrial prey in fall (41.53 ± 32.35 %, average ± standard deviation) compared to summer (20.45 ± 20.45) and exploited more terrestrial prey at reaches with intact riparian vegetation. \nOverall, the project highlighted urbanization as an important threat, with knowledge of the extent and type of urbanization effects as necessary for better ecological understanding of Silver Shiner. The project also provided an assessment of the potential implications of alterations in the thermal regime on the reproductive dynamics of Silver Shiner. Moreover, results most notably point to the importance of intact riparian habitat for the species. Together, the thesis chapters provide valuable information on the life-history and ecology of Silver Shiner that will facilitate the development of more comprehensive, well-informed conservation and recovery action for the species in Canada.

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 score0.859
Threshold uncertainty score0.279

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.182
Teacher spread0.155 · 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
Published2022
Admission routes1
Has abstractyes

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