Evidence map›Paper›PMID 42391574›Full record

ArticleEcology letters2026

Lucky To Be Alive, Luckier to Breed: Lifetime Reproduction in Weddell Seals.

Alexis A Diaz, Jay J Rotella, Kaitlin R Macdonald, Wenyun Zuo, Shripad Tuljapurkar

Abstract read
In one paragraph

Article in Ecology letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Alexis A DiazDepartment of Biology, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0003-0749-9580
Jay J RotellaEcology Department, Montana State University, Bozeman, Montana, USA.
Kaitlin R MacdonaldEcology Department, Montana State University, Bozeman, Montana, USA.
Wenyun ZuoDepartment of Biology, Stanford University, Stanford, California, USA.
Shripad TuljapurkarDepartment of Biology, Stanford University, Stanford, California, USA.ORCID https://orcid.org/0000-0001-5549-4245

Funding

Division of Antarctic Sciences 2147553National Science Foundation Graduate Research Fellowship Program 2141410
6 · The paper itself

Abstract

We utilized a long-term study of Weddell seals to compute lifetime reproductive success (LRS) distributions using a theoretical approach and an empirical approach. These comparisons are often difficult to achieve among natural populations but are important for disentangling sources of variation in lifetime measures. We performed three independent analyses: the first compared LRS and age-at-death distributions among populations living under different environmental conditions, the second focused on populations differing in individual heterogeneity (i.e., high or low reproductive strategy), and the third compared a theoretical LRS distribution with an empirical LRS distribution. Iceberg conditions increased the probability of LRS = 0 while individual heterogeneity had little influence on LRS distributions. Age-at-death distributions were also highly skewed and only early life mortality was affected by environmental condition. Our theoretical LRS distribution was strikingly similar to the empirical distribution estimated from females experiencing natural intrinsic trait variability and extrinsic environmental variability. We also examine inequality measures which show that females must be 'lucky' to survive past maturity and of those who do, only 74% breed. These findings contribute to ongoing research that reveals how diversity in lifetime outcomes is largely governed by chance alone.

Indexed as

ReproductionSeals, EarlessAnimalsFemaleModels, Biologicalindividual heterogeneityintegral projection modelslifetime distributionslifetime reproductive successmatrix populations modelsreproductive inequalityWeddell seals

Identifiers

PMID42391574
PMCPMC13327616

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.