Phenotypic evolution in stochastic environments: The contribution of frequency- and density-dependent selection.

Area of Science:

• Evolutionary biology
• Quantitative genetics
• Ecology

Background:

• Environmental variation significantly impacts phenotypic evolution.
• Existing models often lack ecologically realistic assumptions regarding population size and selection mechanisms.
• Understanding environmentally induced stochastic selection is crucial for accurate evolutionary predictions.

Purpose of the Study:

• To generalize quantitative genetic theory for stochastic selection.
• To incorporate frequency- and density-dependent selection into evolutionary models.
• To explore the relationship between population dynamics and phenotypic evolution under environmental variation.

Main Methods:

• Generalization of quantitative genetic theory for environmentally induced stochastic selection.
• Inclusion of general forms of frequency- and density-dependent selection.
• Development of models where density regulation is resource-based.

Main Results:

• A constant adaptive topography for expected evolution was identified.
• The expected factor restricting population growth is maximized in the long run.
• The study explains why slow-living species often have low carrying capacities.

Conclusions:

• Joint analysis of density- and frequency-dependent selection clarifies the link between population dynamics and phenotypic evolution.
• The generalized models provide a broader framework for eco-evolutionary analyses.
• This research offers insights into evolution under environmental variability.