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Related Experiment Video

Updated: Jun 2, 2026

Visualizing Visual Adaptation

Visualizing Visual Adaptation

Published on: April 24, 2017

Balancing sampling and specialization: an adaptationist model of incremental development.

Willem E Frankenhuis¹, Karthik Panchanathan

¹UCLA Department of Anthropology, 341 Haines Hall, Box 951553, Los Angeles, CA 90095-1553, USA. wfrankenhuis@gmail.com

Proceedings. Biological Sciences

|April 15, 2011

Summary

This study introduces a new model where natural selection shapes developmental systems to guide adaptive phenotypic development. Organisms sample environments more when cues are moderately informative, influencing developmental timing and plasticity.

Related Experiment Videos

Last Updated: Jun 2, 2026

Visualizing Visual Adaptation

Visualizing Visual Adaptation

Published on: April 24, 2017

Area of Science:

Evolutionary biology
Developmental biology
Ecology

Background:

Phenotypic development is typically viewed as an incremental adaptation to local environments.
Understanding the evolutionary pressures shaping developmental systems remains a key challenge.

Purpose of the Study:

To present a novel model where natural selection shapes developmental systems based on evolutionary ecology.
To investigate how these systems adaptively guide phenotypic development.

Main Methods:

Developed a computational model of developmental systems.
Assumed incremental phenotypic construction with trade-offs in environmental cue sampling.
Computed optimal developmental programs across various evolutionary ecological conditions.
Simulated mature phenotype distributions using these programs.

Main Results:

Organisms sample the environment most extensively when cues are moderately informative.
Developmental sampling strategies influence the timing of transition from sampling to specialization in ontogeny.
Stochastic sampling can lead to individual differences in phenotypic plasticity.
Convergent selection pressures may favor similar developmental mechanisms.
Inaccurate developmental calibration can occur even in stable environments.

Conclusions:

The model provides a framework for understanding how evolutionary ecology shapes developmental systems.
Findings suggest that environmental cue informativeness and consistency critically influence developmental strategies and plasticity.
The research highlights the potential for individual variation in plasticity arising from developmental sampling processes.
The study encourages further adaptationist research into the constructive processes underlying development.