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Record W4415393626 · doi:10.24124/2025/30587

Indicators of nutrition and reproduction in female woodland caribou receiving supplemental feed in British Columbia

2025· dissertation· W4415393626 on OpenAlexaboutno aff
Lauren Elviss

Bibliographic record

Venuenot available
Typedissertation
Language
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsWoodland caribouReproductionPopulationReproductive successHerdThreatened speciesHabitatWoodlandAnimal ecology

Abstract

fetched live from OpenAlex

,Adequate nutrition is closely associated with animal survival, reproduction, and population growth. Supplementary feeding, the provisioning of food to offset reduced availability of natural food and / or improve individual and population attributes, is often used as a conservation tool to reverse the decline of threatened populations. Most woodland caribou (Rangifer tarandus caribou) populations in British Columbia are declining throughout their range due to habitat alterations caused by human activities. In response to these declines, various management strategies have been employed to halt population declines and increase the number of caribou in BC. Supplemental feeding for caribou conservation began in 2014, with highquality food pellets provided to free-ranging caribou in the Kennedy Siding herd each fall. The goal of this program is to improve body condition, increase winter survival, and improve reproductive outcomes. Feeding combined with predator reduction appears to have had a positive effect on caribou, with the herd growing by approximately 16% per year. I used multiple indicators of nutritional condition and reproduction to investigate the effects of supplemental feeding on body condition and population growth among female caribou in the Kennedy Siding herd. I used body mass, visual body condition scores, fecal and hair cortisol, fecal triiodothyronine, and hair δ15N to evaluate the changes in physiological and nutritional condition over the feeding period and to assess interannual variation in condition. I compared indicators measured in female caribou with a weaned calf in the fall to those without a calf to assess the effects of lactation and calf rearing on condition. I used a combination of fecal progesterone measurements and GPS collar movement data to assess the potential effects of fall supplemental feeding on ovulation, parturition, and calf survival. My results suggest that females with calves may be more vulnerable to nutritional limitation compared to females without calves due to the nutritional costs of lactation and calf rearing. Furthermore, I found differences in indicators of condition between years, highlighting the need to account for environmental conditions when considering nutrition. Indicators of nutrition suggested that all caribou had the capacity to become pregnant, regardless of age, body condition, or whether they had a calf at heel or not. Total parturition rate was 87.5% and calf survival was 74.3% in the Kennedy Siding herd, which are at the high end of comparable rates reported in unfed caribou herds in BC. Combined, my findings suggest the mechanism that in which supplemental feeding contributes to population growth is by supporting the deposition of body fat and protein reserves, thus increasing the proportion of females that have successful pregnancies and potentially also the proportion of calves that survive until the fall. My research represents some of the first longitudinal monitoring of endocrine activity in woodland caribou and contributes to understanding the role of nutrition in caribou conservation.

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)0.001
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 score0.087
Threshold uncertainty score0.174

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.018
GPT teacher head0.332
Teacher spread0.314 · 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
Published2025
Admission routes1
Has abstractyes

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