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Record W6945033523 · doi:10.25316/ir-19796

The Effect of Seasonal Vegetation Changes on Habitat Suitability and Predation Risk of the Vancouver Island Marmot

2024· dissertation· en· W6945033523 on OpenAlexaboutno aff

Bibliographic record

VenueVIUSpace (Vancouver Island University Library) · 2024
Typedissertation
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
Fundersnot available
KeywordsMarmotHabitatVegetation (pathology)PredationEndangered speciesThreatened speciesPopulationHabitat destructionShrub

Abstract

fetched live from OpenAlex

Vancouver Island marmots (Marmota vancouverensis) are a critically endangered species with a small and fragmented population. They live in subalpine meadows, exclusively on Vancouver Island, Canada, but will also colonize logged habitats at lower elevations, which become population sinks for the species. Tree encroachment and vegetation shifts in these habitats are likely affecting seasonal vegetation cover and reducing the ability of marmots to visually detect predators, thereby increasing their risk of predation. Most marmot mortalities occur during the late summer, which may be related to peak vegetation growth during that period. This study assessed how these seasonal changes to vegetation in Vancouver Island marmot habitat is affecting habitat suitability and predation risk and involved the quantitative analysis of field data collected at the Mt. Washington marmot colony. Seasonal growth of herbaceous plant species significantly decreased line of sight visibility throughout active periods, likely decreasing marmots’ ability to detect predators. Climate change and shifts in alpine ecosystems are expected to reduce suitable habitat and increase predation risk for this threatened species.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.739
Threshold uncertainty score1.000

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)0.0010.000

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 head0.004
GPT teacher head0.185
Teacher spread0.181 · 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.

Study designNot applicable
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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