Disturbance and chronic levels of cortisol in boreal woodland caribou
Bibliographic record
Abstract
ABSTRACT Disturbance by anthropogenic activities may cause chronic (long‐term) stress in wildlife and contribute to population declines. Although declines of boreal woodland caribou ( Rangifer tarandus caribou ) across Canada have been attributed to anthropogenic disturbance, the physiological stress response of caribou to disturbance is not well understood. As a measure of chronic stress, we assessed cortisol concentrations in guard hair from 89 female caribou between 2009 and 2011 in eastern Manitoba. We compared cortisol concentrations among 5 caribou populations occupying areas with varying levels of disturbance, and estimated home ranges of 55 collared caribou to examine how home range size varied with cortisol concentrations. Within each home range, we quantified disturbance characteristics (roads, transmission lines, cottages, and logged and burned areas) and landscape features (lakes, black spruce [ Picea mariana ], and jack pine [ Pinus banksiana ]), and used model selection to determine the combination of disturbance features that best explained variation in caribou cortisol concentrations. Hair cortisol concentrations differed among the 5 caribou populations and increased with decreasing home range size. The proportion of the home range logged in the previous 6–21 years best explained variation in cortisol concentrations. Our results suggest that caribou respond negatively to logging, and caribou occupying the southern extent of their range could be vulnerable to disturbance. Although disturbance affects caribou cortisol concentrations, the consequences of increased cortisol concentrations on caribou survival and reproduction are unknown and need to be examined for effective management of populations. © 2017 The Wildlife Society.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".