Hierarchy: Perspectives for Ecological Complexity
Although complexity surrounds us, its inherent uncertainty, ambiguity, and contradiction can at first make complex systems appear inscrutable. Ecosystems, for instance, are nonlinear, self-organizing, seemingly chaotic structures in which individuals interact both with each other and with the myriad biotic and abiotic components of their surroundings across geographies as well as spatial and temporal scales. In the face of such complexity, ecologists have long sought tools to streamline and aggregate information. Among them, in the 1980s, T. F. H. Allen and Thomas B. Starr implemented a burgeoning concept from business administration: hierarchy theory. Cutting-edge when Hierarchy was first published, their approach to unraveling complexity is now integrated into mainstream ecological thought.

This thoroughly revised and expanded second edition of Hierarchy reflects the assimilation of hierarchy theory into ecological research, its successful application to the understanding of complex systems, and the many developments in thought since. Because hierarchies and levels are habitual parts of human thinking, hierarchy theory has proven to be the most intuitive and tractable vehicle for addressing complexity. By allowing researchers to look explicitly at only the entities and interconnections that are relevant to a specific research question, hierarchically informed data analysis has enabled a revolution in ecological understanding. With this new edition of Hierarchy, that revolution continues.
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Hierarchy: Perspectives for Ecological Complexity
Although complexity surrounds us, its inherent uncertainty, ambiguity, and contradiction can at first make complex systems appear inscrutable. Ecosystems, for instance, are nonlinear, self-organizing, seemingly chaotic structures in which individuals interact both with each other and with the myriad biotic and abiotic components of their surroundings across geographies as well as spatial and temporal scales. In the face of such complexity, ecologists have long sought tools to streamline and aggregate information. Among them, in the 1980s, T. F. H. Allen and Thomas B. Starr implemented a burgeoning concept from business administration: hierarchy theory. Cutting-edge when Hierarchy was first published, their approach to unraveling complexity is now integrated into mainstream ecological thought.

This thoroughly revised and expanded second edition of Hierarchy reflects the assimilation of hierarchy theory into ecological research, its successful application to the understanding of complex systems, and the many developments in thought since. Because hierarchies and levels are habitual parts of human thinking, hierarchy theory has proven to be the most intuitive and tractable vehicle for addressing complexity. By allowing researchers to look explicitly at only the entities and interconnections that are relevant to a specific research question, hierarchically informed data analysis has enabled a revolution in ecological understanding. With this new edition of Hierarchy, that revolution continues.
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Hierarchy: Perspectives for Ecological Complexity

Hierarchy: Perspectives for Ecological Complexity

Hierarchy: Perspectives for Ecological Complexity

Hierarchy: Perspectives for Ecological Complexity

Paperback(Second Edition)

$51.00 
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Overview

Although complexity surrounds us, its inherent uncertainty, ambiguity, and contradiction can at first make complex systems appear inscrutable. Ecosystems, for instance, are nonlinear, self-organizing, seemingly chaotic structures in which individuals interact both with each other and with the myriad biotic and abiotic components of their surroundings across geographies as well as spatial and temporal scales. In the face of such complexity, ecologists have long sought tools to streamline and aggregate information. Among them, in the 1980s, T. F. H. Allen and Thomas B. Starr implemented a burgeoning concept from business administration: hierarchy theory. Cutting-edge when Hierarchy was first published, their approach to unraveling complexity is now integrated into mainstream ecological thought.

This thoroughly revised and expanded second edition of Hierarchy reflects the assimilation of hierarchy theory into ecological research, its successful application to the understanding of complex systems, and the many developments in thought since. Because hierarchies and levels are habitual parts of human thinking, hierarchy theory has proven to be the most intuitive and tractable vehicle for addressing complexity. By allowing researchers to look explicitly at only the entities and interconnections that are relevant to a specific research question, hierarchically informed data analysis has enabled a revolution in ecological understanding. With this new edition of Hierarchy, that revolution continues.

Product Details

ISBN-13: 9780226489681
Publisher: University of Chicago Press
Publication date: 11/10/2017
Edition description: Second Edition
Pages: 352
Product dimensions: 6.00(w) x 8.90(h) x 1.10(d)

About the Author

T. F. H. Allen is professor emeritus of botany and environmental studies at the University of Wisconsin‒Madison. He is coauthor, most recently, of Supply-Side Sustainability. Thomas B. Starr is adjunct associate professor of environmental sciences and engineering at the University of North Carolina at Chapel Hill.

Table of Contents

Introduction

Part I. A Theory for Medium Number Systems

Chapter 1. Hierarchies
Chapter 2. The Janus-Faced Holon
Chapter 3. Scales and Filters
Chapter 4. Sirens of Certainty

Part II. Origins of Life as a Complex Medium Number System

Chapter 5. A Wrinkle in Time: Evolution by Preadaptation
Chapter 6. Functional and Structural Boundaries
Chapter 7. The Self-Replicating Hierarchy
Chapter 8. Scaling Strategies

Part III. Scale and Complex Systems

Chapter 9. Identifying the Scale in Community Ecology
Chapter 10. Hierarchy as a Context for Modeling and Simulation.
Chapter 11. Diversity and Connectedness
Chapter 12. Scale as an Investigative Tool
Acknowledgments
Notes
Glossary
References
Index

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