Influences of habitat composition, plant phenology, and population density on autumn indices of body condition in a northern white‐tailed deer population
Bibliographic record
Abstract
ABSTRACT Body condition has a strong influence on reproduction and survival. Consequently, understanding spatiotemporal variation in body condition may help identify processes that determine life history, and thus demography. The effect of environmental variables on individuals' body condition, although widely documented, is generally achieved by investigating habitat, plant phenology, or density separately, such that cumulative or interactive effects can rarely be considered. We investigated how spatial and annual variation in habitat composition, deer density, and vegetation productivity influenced white‐tailed deer ( Odocoileus virginianus ) body condition during the breeding period. We detailed changes in body condition using several indices, including body mass, peroneus muscle mass, rump fat, kidney fat index, and antler size in >4,000 male and female deer of different ages harvested during September–December, 2002–2006 on Anticosti Island, Québec, Canada. Overall, females and yearlings harvested in fir forests were in poorer condition than those harvested in peatlands or spruce forests, whereas body condition of adult males was greater when open habitats were highly available. High deer density reduced autumn gains in fat, muscle mass, and body mass in males and yearlings, and in fat for females. Surprisingly, density positively affected the size of male antlers. High density at birth favored fat accumulation in adult females, suggesting strong selective pressure that removed low‐quality individuals in early age at high deer density. Low Normalized Difference Vegetation Index (NDVI) in spring was associated with delayed but rapid spring green‐up, and favored higher body condition in autumn. Reproduction affected most parameters of body condition; lactating females had less mass, fat, and muscle than non‐lactating females, whereas mass and fat of males >4 years old steeply declined during the rut. Body mass and fat reserves showed a stronger response to density, habitat, NDVI, and reproduction than muscle mass. Body mass was a good integrating measure of fat and muscle mass, although allocation between muscle growth and energy storage was confounded. Our study highlighted the influence of environmental conditions on individual fat reserves, muscle mass, and body mass in autumn, with potential effects on reproduction and winter survival. Appropriate monitoring of body‐condition indices in the fall can track the effect of environmental variables and management practices on animal populations. © 2014 The Wildlife Society
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".