Nonlinear Physics of Ecosystems

Ehud Meron

April 15, 2015 by CRC Press
Reference - 359 Pages - 146 B/W Illustrations
ISBN 9781439826317 - CAT# K11267

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  • Links pattern formation to spatial ecology, providing a deep understanding of dryland ecosystems’ responses to environmental changes
  • Presents a concise introduction to the concepts and mathematical methods of pattern formation theory necessary in ecological research
  • Discusses recent developments, such as pattern-forming systems subjected to external periodic forcing, not covered in similar books
  • Uses a common language accessible to readers from diverse disciplines, including nonlinear and interdisciplinary physics, geophysics, biomathematics, ecology, and physical geography


Nonlinear Physics of Ecosystems introduces the concepts and tools of pattern formation theory and demonstrates their utility in ecological research using problems from spatial ecology. Written in language understandable to both physicists and ecologists in most parts, the book reveals the mechanisms of pattern formation and pattern dynamics. It also explores the implications of these mechanisms in important ecological problems.

The first part of the book gives an overview of pattern formation and spatial ecology, showing how these disparate research fields are strongly related to one another. The next part presents an advanced account of pattern formation theory. The final part describes applications of pattern formation theory to ecological problems, including self-organized vegetation patchiness, desertification, and biodiversity in changing environments.

Focusing on the emerging interface between spatial ecology and pattern formation, this book shows how pattern formation methods address a variety of ecological problems using water-limited ecosystems as a case study. Readers with basic knowledge of linear algebra and ordinary differential equations will develop a general understanding of pattern formation theory while more advanced readers who are familiar with partial differential equations will appreciate the descriptions of analytical tools used to study pattern formation and dynamics.