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Record W3111668692 · doi:10.11575/prism/38421

Specifying Caribou Migratory Behaviours to Identify and Preserve Intraspecies Diversity

2020· dissertation· en· W3111668692 on OpenAlexaboutno aff
Jessica L. Theoret

Bibliographic record

VenuePRISM (University of Calgary) · 2020
Typedissertation
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsDiversity (politics)Evolutionary biologyGeographyBiologyEcologySociologyAnthropology

Abstract

fetched live from OpenAlex

Preserving intraspecies diversity, a fundamental conservation goal, strengthens species adaptability. Across most of their range, caribou are declining, with some recent population extirpations. Migratory or sedentary movement behaviours are considered adaptive relative to local ecological conditions of Barren-ground and Woodland Caribou populations (respectively). In addition, these behaviours may be genetically influenced. As populations decline and are lost, local characteristics, including movement ecology and genetic traits (or their links) that may be adaptive, are also at risk of disappearing. In this Thesis, I describe the prevalence of migratory, resident, and other seasonal movement behaviours for Barren-ground and Woodland Caribou in northern and western Canada. I exemplify that caribou behaviour is diverse and complex, requiring a combination of methods to categorize, and I challenge traditional distinctions between, and binary categorization of, migratory and resident behaviour. I also develop an equation for quantifying between-year individual behavioural plasticity to estimate how flexible caribou can be in their movement behaviour. Finally, I assess the potential for reproductive isolation between migratory versus non-migratory caribou in populations where both seasonal behaviours co-occur. I therefore determine the location of, and separation between, migratory and non-migratory individuals during the rutting season to evaluate if individuals exhibiting the same movement behaviour are associated with one another during the period of genetic exchange. Despite the common description of Woodland Caribou as primarily non-migratory, migratory behaviour was found to occur widely in Woodland Caribou populations. Additionally, individuals were flexible in their migratory behaviours between years. Populations may therefore be more behaviourally diverse and perhaps behaviourally adaptable than previously thought. However, I also found that migratory and non-migratory caribou could be separate during the rutting season, indicating potential for reproductive isolation. From these results, correlations of seasonal movement behaviours with environmental conditions and with genetic traits could be determined to evaluate if caribou respond to the environment plastically or if instead, they are limited by their genes. Specifying seasonal migratory behaviours, evaluating between-year behavioural plasticity, and testing for genetic predispositions for seasonal movement patterns may help refine conservation and management strategies to aid caribou recovery.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.845
Threshold uncertainty score0.309

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.015
GPT teacher head0.215
Teacher spread0.200 · 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
Published2020
Admission routes1
Has abstractyes

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