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Related Experiment Videos

Estimating selection on neonatal traits in red deer using elasticity path analysis.

T Coulson1, L E B Kruuk, G Tavecchia

  • 1Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, United Kingdom. tnc20@cam.ac.uk

Evolution; International Journal of Organic Evolution
|February 6, 2004
PubMed
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This study applies a new method to estimate selection on red deer traits, revealing that selection acts through multiple fitness components and varies annually. This approach enhances understanding of evolutionary dynamics in natural populations.

Area of Science:

  • Evolutionary Biology
  • Quantitative Genetics
  • Population Ecology

Background:

  • Selection gradients link phenotypic traits to fitness components.
  • Estimating simultaneous selection across multiple fitness components is challenging.
  • Population growth rate (mean absolute fitness) integrates fitness components.

Purpose of the Study:

  • To apply a novel method for estimating simultaneous selection gradients across multiple fitness components.
  • To investigate selection on birth date and birth weight in a wild red deer population.
  • To understand how selection varies across years and fitness components.

Main Methods:

  • Application of Van Tienderen's method linking selection gradients to fitness components.
  • Analysis of a long-term red deer population dataset from the Isle of Rum, Scotland.

Related Experiment Videos

  • Estimation of selection on birth date and birth weight through multiple fitness components.

    • Main Results:

    • Selection on birth date and birth weight operates through multiple fitness components simultaneously.
    • Estimated response to selection aligns with observed trait changes not explained by covariates.
    • Selection intensity and direction fluctuated over the study period.
    • Different fitness components responded to selection differently across years.
    • No direct correlation found between environmental covariates and selection due to contrasting fitness component responses.

    Conclusions:

    • The applied method successfully estimates simultaneous selection across multiple fitness components.
    • Selection on red deer traits is complex, varying by year and fitness pathway.
    • Environmental factors influence selection indirectly through differential responses of fitness components.