Can physics be an appropriate framework for the understanding of
ecological science? Most ecologists would probably agree that there
is little relation between the complexity of natural ecosystems and
the simplicity of any example derived from Newtonian physics.
Though ecologists have long been interested in concepts originally
developed by statistical physicists and later applied to explain
everything from why stock markets crash to why rivers develop
particular branching patterns, applying such concepts to ecosystems
has remained a challenge.
"Self-Organization in Complex Ecosystems" is the first book to
clearly synthesize what we have learned about the usefulness of
tools from statistical physics in ecology. Ricard Sole and Jordi
Bascompte provide a comprehensive introduction to complex systems
theory, and ask: do universal laws shape the structure of
ecosystems, at least at some scales? They offer the most compelling
array of theoretical evidence to date of the potential of nonlinear
ecological interactions to generate nonrandom, self-organized
patterns at all levels.
Tackling classic ecological questions--from population dynamics
to biodiversity to macroevolution--the book's novel presentation of
theories and data shows the power of statistical physics and
complexity in ecology. "Self-Organization in Complex Ecosystems"
will be a staple resource for years to come for ecologists
interested in complex systems theory as well as mathematicians and
physicists interested in ecology."
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