Adaptive Cycle

Adaptive Cycle

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The adaptive cycle model by CS Holling is discussed, emphasizing its application to various complex adaptive systems for understanding nonlinear processes of change.

Adaptive Cycle Model Overview

  • The adaptive cycle model is a heuristic model developed by CS Holling for comprehending macro processes of change in ecosystems. It is equally relevant to any complex adaptive system.
  • The model describes how complex adaptive systems evolve through four phases: exploitation, conservation, release, and reorganization.
  • In the exploitation stage, a system experiences growth and increasing complexity due to abundant resources and positive feedback mechanisms.
  • The conservation stage signifies equilibrium and stability in a mature system where negative feedback dominates over positive feedback.
  • Release phase involves crisis and collapse triggered by external disturbances leading to dramatic changes as the system moves out of its stability domain.
  • Reorganization marks the recovery phase post-collapse where the system can take various directions towards new stability domains based on initiated courses during this phase.
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Take the full course: https://bit.ly/SiCourse Download booklet: https://bit.ly/SiBooklets The adaptive cycle is a heuristic model developed by C.S. Holling for understanding macro processes of change in ecosystems, however, the adaptive cycle is equally applicable to any complex adaptive system. It can be used to identify structural patterns in both ecosystems as well as social systems as they go through nonlinear processes of change. Systems change is about changing complex adaptive systems - i.e. living systems - so understanding these inherent processes of change in living dynamical systems will be of great value. The model describes how complex adaptive systems evolve in terms of four phases, with these four phases being exploitation, conservation, release, and reorganization. Twitter: http://bit.ly/2JuNmXX LinkedIn: http://bit.ly/2YCP2U6 facebook: http://bit.ly/31Et5p5