Temporal dynamics of nutrition, parasitism, and stress in colobus monkeys: Implications for population regulation and conservation
Bibliographic record
Abstract
The need to develop conservation plans calls for the ability to identify ecological factors that influence population density. Because stress is known to affect fecundity and mortality, increasing stress may provide a warning of potential population declines. We examined the effects of temporal variation in nutrition and parasitism on stress in endangered red colobus monkeys in Kibale National Park, Uganda. First, we tested the hypothesis that parasitism and nutrition would individually affect stress levels. We found that periods of poor-quality diet corresponded with an increase in cortisol. Similarly, increases in parasite infections were associated with increased cortisol. Next, we predicted that a poor-quality diet would facilitate increased parasite infections, and that together, they would lead to amplified stress. However, we found no support for such amplification, likely because the quality of the diet had little effect on parasite infections. Third, we tested whether individuals in a larger group were subject to food stress due to greater within-group competition, which would intensify nutritional stress and parasitism, and lead to reduced reproduction. Although we found no evidence to support a group size effect on parasites, cortisol levels in the large group tended to be higher than those in the small group, and the large group had fewer infants per female. The results suggest that parasitism and poor nutrition lead to increased stress which, because they are known to be associated with reduced fecundity and increased mortality, may lead to population declines.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".