Ecosystems as adaptive living circuits.

Area of Science:

• Complex Systems Biology
• Theoretical Ecology
• Non-equilibrium Thermodynamics

Background:

• Biological systems dynamically control energy input, a feature absent in traditional non-equilibrium physics models.
• Lack of theoretical frameworks hinders understanding of emergent behavior where structure and energy drive coevolve in living systems.

Purpose of the Study:

• To develop a theoretical framework for adaptive energy dissipation in biological systems.
• To model ecosystems as adaptive systems exhibiting emergent properties.
• To investigate the relationship between system architecture, energy dissipation, and adaptive rules.

Main Methods:

• Development of a "living circuits" framework where architecture adapts to energy dissipation.
• Utilizing ecosystems as a model to study adaptive system behavior.
• Analysis of feedback mechanisms governing energy flow and structural adaptation.

Main Results:

• Living circuits exhibit a phase transition from equilibrium to a non-equilibrium dissipative state.
• A feedback mechanism routes dissipation to weaker edges, preserving the system.
• Systems achieve near-maximal dissipation without global optimization, with complexity increasing with energy drive.

Conclusions:

• Ecosystems serve as a paradigm for living circuits, demonstrating adaptive structure and dissipation tuning via local rules.
• The developed framework offers insights into emergent behavior in adaptive non-equilibrium systems.
• This research bridges the gap between theoretical physics and biological adaptability.