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Record W7045957500

Bridging Knowledge Gaps for Protection and Recovery: Habitat Use and Threats of Blanding’s Turtles in an Understudied Region of The Great Lakes

2023· dissertation· en· W7045957500 on OpenAlexfundaboutno aff

Bibliographic record

VenueMacSphere (McMaster University) · 2023
Typedissertation
Languageen
FieldEnvironmental Science
TopicTurtle Biology and Conservation
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaMcMaster University
KeywordsHabitatEndangered speciesCritical habitatWetlandClimate changeHabitat destructionOverwinteringThreatened species
DOInot available

Abstract

fetched live from OpenAlex

Ontario is home to 8 species of freshwater turtles, all of which are federally at-risk of extirpation. To conserve declining populations, the government turns to recovery strategies for each species that are listed as threatened, endangered, or extirpated. These recovery strategies require previous field studies to identify critical habitats to be protected and threats that need to be mitigated. Because the majority of this information relies on field studies, there are still many knowledge gaps that need to be investigated, particularly in regions such as eastern Georgian Bay of the Laurentian Great Lakes, where little research has been done. This region contains relatively abundant populations of 6 species of freshwater turtle, including the federally endangered Blanding’s turtle (Emydoidea blandingii), which acts as an umbrella species for the conservation of other species that share its habitat. This thesis aims to fill knowledge gaps related to the critical habitat that needs to be protected in this region, as well as potential threats to Blanding’s turtles that may require mitigation efforts, such as human development or climate change. In the first chapter, we determine the habitats used by 22 Blanding’s turtles over the active, nesting, and overwintering seasons among coastal and inland wetlands. We also identify site-specific threats due to preferences for nesting near built-up areas rather than rock barrens. In the second chapter, we determine a significant loss in functional aquatic wetland habitat for Blanding’s turtles due to changes in annual water levels and infer associated impacts due to climate change. This was achieved by classifying satellite imagery between 2002 (lower water level) and 2019 (higher water level) and conducting change detection analyses. This research is the first to occur along the eastern coast of Georgian Bay and will advance our understanding of the threats and habitat requirements of freshwater turtles. The findings will be used to implement recovery strategies aimed at protecting and mitigating threats to imperiled freshwater turtles.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.250
Threshold uncertainty score0.962

Codex and Gemma teacher scores by category

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

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 head0.042
GPT teacher head0.227
Teacher spread0.185 · 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 teacher head, 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
Published2023
Admission routes2
Has abstractyes

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