Published July 3, 2023 | Version v1
Dataset Open

Reproductive phenology is a repeatable, heritable trait linked to the timing of other life history events in a migratory marine predator

  • 1. University of Cape Town
  • 2. Nelson Mandela University
  • 3. University of Pretoria

Description

Population-level shifts in reproductive phenology in response to environmental change are common, but whether individual-level responses are modified by demographic and genetic factors remains less well understood. We used mixed models to quantify how reproductive timing varied across 1,755 female southern elephant seals (Mirounga leonina) breeding at Marion Island in the Southern Ocean (1989–2019) and to identify the factors that correlate with phenological shifts within- and between individuals. We found strong support for covariation in the timing of breeding arrival dates and the timing of the preceding moult. Breeding arrival dates were more repeatable at the individual-level, as compared to the population-level, even after accounting for individual traits (wean date as a pup, age and breeding experience) associated with phenological variability. Mother-daughter similarities in breeding phenology were also evident, indicating that additive genetic effects may contribute to between-individual variation in breeding phenology. Over 30 years, elephant seal phenology did not change towards earlier or later dates, and we found no correlation between annual fluctuations in phenology and indices of environmental variation. Our results show how maternal genetic (or non-genetic) effects, individual traits and linkages between cyclical life-history events can drive within- and between-individual variation in reproductive phenology.

Notes

Data were processed in R 4.1.3 and later versions (R Core Team 2022). Anyone interested in using this long-term data is encouraged to collaborate with the authors, as their understanding of the data collection methods and availability of other meta-data is likely to enhance future analysis and interpretation.

Funding provided by: National Research Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001321
Award Number:

Files

daylength.csv

Files (513.8 kB)

Name Size Download all
md5:295eada3c3be8ed29ff72e53c2736e2f
2.6 kB Preview Download
md5:ee8f92c4419834d1485d7698500f64c1
43.3 kB Preview Download
md5:4cd8eb09b8e0fb8cca0d74338348f186
263.9 kB Download
md5:73202d648ccd84299b86ec0d73843524
87.7 kB Download
md5:9380a7c4ad239ab9265fa5a95db130a5
6.9 kB Preview Download
md5:72eae848d70e2dfe48eaf600afd03080
109.4 kB Download