## Self-Organization in Complex Ecosystems. (MPB-42) |

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. 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. " "There is no book like this in the canonical line of textbooks on theoretical ecology: Self-Organization in Complex Ecosystems views ecosystems from the perspective of self-organization and the emergence of their large-scale complex features. It does this from a largely mathematical perspective and, surprisingly, draws on several methods from theoretical physics." "Throughout the volume, the authors provide examples of rigorous mathematical treatment and ecological problems of local and global significance using concepts and tools of statistical physics. These examples, as well as a solid background on the applicability of fundamental laws of physics in ecology, could provide excellent supplemental formation for theoretical ecology courses."
"A great book. "This book is an outstandingly good summary of where we currently stand in the field of ecology. It draws together, in a clear and synoptic way, a large variety of new ideas and supporting them where possible and appropriate by data."
- Monographs in Population Biology
Simon A. Levin and Henry S. Horn, Series Editors
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