Maternal Care Strategies Differentially Optimize the Health and Immunity of Male and Female South American Fur Seal Pups
Bibliographic record
Abstract
Pinnipeds face increasing challenges that affect how maternal foraging and nursing strategies transfer key resources for immune function and ultimately the survival of their offspring. We evaluated how foraging strategies and maternal care in South American fur seals (Arctocephalus australis) affect male and female pup growth, physiology, and immune health. We used capture and recapture data for mothers and their pups and daily monitoring during the austral summers of 2015–2016, 2021–2022, and 2022–2023 to assess maternal care. We collected pup morphometric data, blood, and vibrissae to assess their growth rates, health, and immune competence. We found that mothers shifted their diet from demersal to more pelagic prey between 2015 and 2023 because of a decrease in their main demersal prey item, the southern hake (Merluccius australis). This shift in diet was associated with reduced maternal foraging time and increased nursing time, which differentially affected the health of male and female pups. Male pups grew faster, emphasizing energy reserves, especially in years with a higher abundance of demersal prey, while slower-growing female pups prioritized the development of the immune system, especially during years with a decline in demersal fish and an increase in the use of pelagic fish by their mothers, suggesting sex-specific adaptation for the long-term survival of offspring. This study suggests that prey scarcity could differentially impact the development and immune health of male and female offspring of marine top predators.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".