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A quantitative model of the Simpson-Baldwin Effect

¹Department of Biological Sciences, Stanford University, CA 94305, USA. ancel@charles.stanford.edu

Journal of Theoretical Biology

|February 17, 1999

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The Simpson-Baldwin Effect explains how natural selection can genetically favor adaptive traits. This study models how environmental changes interact with phenotypic plasticity and mutation to drive this evolutionary phenomenon.

Area of Science:

Evolutionary Biology
Quantitative Genetics

Background:

The Baldwin Effect, first fully explained by G. G. Simpson, describes how learned behaviors can become genetically ingrained over generations.
This process involves natural selection acting on the predisposition for adaptive traits, not solely on the traits themselves.

Purpose of the Study:

To present a quantitative model of the Simpson-Baldwin Effect.
To investigate the role of phenotypic plasticity and environmental stochasticity in this evolutionary mechanism.

Main Methods:

Developed a quantitative model simulating organisms with mutable phenotypic plasticity.
Analyzed how environmental fluctuation rates influence phenotype distribution and the emergence of the Simpson-Baldwin Effect.

Main Results:

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The Simpson-Baldwin Effect arises under intermediate environmental fluctuation rates.
This effect results from the interplay between natural selection, mutation, and norms of reaction.
High environmental volatility favors plasticity, inhibiting the channeling of phenotypic possibilities.

Conclusions:

The quantitative model supports Simpson's explanation of the Baldwin Effect within natural selection theory.
Environmental dynamics are crucial in shaping the manifestation of the Simpson-Baldwin Effect.
The study highlights the genetic assimilation of adaptive traits through evolutionary processes.