Evolution, Complexity, and Life History Theory

Area of Science:

• Evolutionary Biology
• Theoretical Biology
• Life History Theory

Background:

• The debate on whether evolution trends towards increased organismal complexity is ongoing.
• Current discussions are hampered by the absence of a quantitative measure for complexity linked to the goal-directed nature of life.
• Life history theory provides a potential avenue for developing such a measure.

Purpose of the Study:

• To propose a quantitative measure of biological complexity rooted in life history theory.
• To outline a framework for testing the hypothesis of increasing complexity in evolution.
• To establish an agenda for future research on measuring and comparing evolutionary complexity.

Main Methods:

• Revisiting the debate on evolutionary complexity using an interdisciplinary approach.
• Identifying life history strategies as a proxy for quantifying biological complexity.
• Proposing mathematical methods for measuring complexity and comparative analyses across species.

Main Results:

• Life history strategies, encompassing schedules of survival and reproduction, can serve as a quantitative measure of biological complexity.
• This measure is directly linked to the teleonomic (goal-directed) nature of living systems.
• The proposed framework allows for the investigation of evolutionary forces driving changes in complexity.

Conclusions:

• Life history theory offers a robust framework for quantifying biological complexity.
• Measuring complexity via life history strategies can advance the study of evolutionary patterns.
• Future research should focus on mathematical quantification and cross-species comparative analyses of teleonomic complexity.