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The relationship between offspring size and performance in the sea
Dustin J Marshall1, Michael J Keough
1School of Integrative Biology/Centre for Marine Studies, University of Queensland, Queensland 4076, Australia. d.marshall1@uq.edu.au
Offspring size variation in marine invertebrates is influenced by local conditions, not just broad regions. The optimal offspring size dynamically changes, adapting to environmental factors across populations and time.
Area of Science:
- Marine Biology
- Evolutionary Ecology
- Quantitative Biology
Background:
- Offspring size variation historically explained population differences, with less focus on within-population scales.
- Offspring size variation is often considered an adaptive trait, but direct empirical tests are scarce.
Purpose of the Study:
- To investigate the spatial and temporal scales of offspring size variation in the marine invertebrate Watersipora subtorquata.
- To test if offspring size variation is adaptive by linking it to offspring performance across different populations and times.
- To model optimal offspring size predictions based on observed relationships between offspring size and performance.
Main Methods:
- Partitioning natural variation in offspring size across spatial and temporal scales in southeastern Australia.
- Estimating the relationship between offspring size and performance at the population level for each sampling time.
- Utilizing an optimality model parameterized with empirical data to predict offspring size.
Main Results:
- Significant offspring size variation was observed among populations, but regional factors explained only ~25% of this variation.
- Local population and temporal factors were more influential on offspring size variation than broad regional differences.
- Differences in the offspring size-performance relationship across populations and times correlated with observed offspring sizes.
Conclusions:
- Interpopulation variation in offspring size can be an adaptive strategy responding to local environmental conditions.
- The optimal offspring size is not static but is dynamically influenced by local factors.
- Future research should prioritize understanding small-scale variation in offspring size for a comprehensive view of adaptive strategies.
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