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Updated: Jun 3, 2026

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

Published on: February 13, 2020

Functional complexity can mitigate performance trade-offs.

Roi Holzman¹, David C Collar, Rita S Mehta

¹Department of Evolution and Ecology, University of California, Davis, 95616, USA. holzman@post.tau.ac.il.

The American Naturalist

|April 5, 2011

Summary

This summary is machine-generated.

Performance trade-offs in evolution can be overcome by complex traits. Compensatory changes in multiple traits allow organisms to improve performance in one area without sacrificing another, promoting diversification.

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Last Updated: Jun 3, 2026

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

A Computerized Functional Skills Assessment and Training Program Targeting Technology Based Everyday Functional Skills

Published on: February 13, 2020

Area of Science:

Evolutionary Biology
Biomechanics
Functional Morphology

Background:

Trade-offs are a fundamental constraint in adaptive evolution, where improving one performance aspect incurs a cost in another.
The complexity of traits determining performance is often overlooked as a factor mitigating these trade-offs.

Purpose of the Study:

To investigate how performance trade-offs can be mitigated by complex trait interactions.
To explore the role of trait complexity in enabling organisms to meet competing selective demands.

Main Methods:

Numerical simulations to model the effect of trait number on trade-off strength.
Hydrodynamic modeling and experimental data analysis in centrarchid fishes.
Analysis of diet data to correlate feeding performance with prey types.

Main Results:

Increased number of performance-determining traits reduces the strength of performance trade-offs.
Centrarchid fishes exhibit evolved trait combinations for suction feeding, balancing performance on attached and evasive prey.
Hydrodynamic modeling and diet data confirm weak trade-offs, supporting the role of complexity.

Conclusions:

Functional complexity in traits like suction feeding allows for the evolution of high-performance behaviors that appear to defy trade-offs.
This complexity can drive morphological, functional, and ecological diversification by enabling organisms to adapt to diverse selective pressures.