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Complexity in natural landform patterns

Werner1

  • 1Complex Systems Laboratory, Cecil and Ida Green Institute of Geophysics and Planetary Physics, University of California-San Diego, La Jolla, CA 92093-0225, USA.

Science (New York, N.Y.)
|April 2, 1999
PubMed
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Natural systems like rivers and dunes exhibit complex patterns. A new modeling approach, based on self-organization in temporal hierarchies, offers an alternative to reductionism and universality for understanding these natural landforms.

Area of Science:

  • Geomorphology
  • Complex Systems Science
  • Theoretical Ecology

Background:

  • Natural patterns, such as meandering rivers and sand dunes, exhibit complex behaviors.
  • Current modeling approaches (reductionism, universality) are inadequate for nonlinear, open natural systems.

Purpose of the Study:

  • Introduce an alternative methodology for modeling natural landform patterns.
  • Address the limitations of existing reductionist and universalist approaches.

Main Methods:

  • Describe a novel modeling methodology.
  • Focus on the self-organization tendency of natural systems.
  • Utilize temporal hierarchies as a framework.

Main Results:

  • The proposed methodology provides a framework for understanding complex natural patterns.

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  • Demonstrates compatibility with the nonlinear, open nature of natural systems.
  • Offers a new perspective beyond reductionism and universality.

    • Conclusions:

    • Self-organization in temporal hierarchies offers a viable alternative for modeling natural landforms.
    • This approach better reflects the inherent complexity and dynamics of natural systems.
    • Highlights the potential for new insights into pattern formation in nature.