Complexity And Complex Ecological Systems


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Complexity and Complex Ecological Systems


Complexity and Complex Ecological Systems

Author: Stanislaw Sieniutycz

language: en

Publisher: Elsevier

Release Date: 2023-03-22


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Complexity and Complex Ecological Systems is an extension of Elsevier's 2021 book Complexity and Complex Chemo-Electric Systems directed toward the analysis and synthesis of diverse ecological processes running in heterogeneous macrosystems. Contemporary advanced techniques such as averaged analysis, food webs approaches, and classical optimization results along with some numerical algorithms are commonly used in ecosystems. This book treats ecological systems as specific functional integrities. In Complexity and Complex Ecological Systems, one can observe how various types of ecological heterogeneities can contribute to flows of living and inanimate parts of the moving pseudo-continuum. This book is a valuable reference for scientists, engineers, and graduate students of environmental, chemical, and biological engineering, helping them better understand complex macroscopic systems and enhance their technical skills in theoretical and practical research. - Covers the basic aspects of modeling, analysis, synthesis, and optimization of ecological systems - Contains theory of selected ecosystems and explanations of how it can be used in applications - Includes original drawings and drafts that illustrate the properties of diverse ecosystems - Written by an expert in advanced methods of biophysics and macroscopic physics

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


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

Author: Ricard V. Solé

language: en

Publisher: Princeton University Press

Release Date: 2006-03-26


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Describing a theoretical view of ecosystems based on how they self-organise to produce complex patterns, this book focuses on very simple models that despite their simplicity encapsulate fundamental properties of how ecosystems work.

Complexity Theory for a Sustainable Future


Complexity Theory for a Sustainable Future

Author: Jon Norberg

language: en

Publisher: Columbia University Press

Release Date: 2008-07-11


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Complexity theory illuminates the many interactions between natural and social systems, providing a better understanding of the general principles that can help solve some of today's most pressing environmental issues. Complexity theory was developed from key ideas in economics, physics, biology, and the social sciences and contributes to important new concepts for approaching issues of environmental sustainability such as resilience, scaling, and networks. Complexity Theory for a Sustainable Future is a hands-on treatment of this exciting new body of work and its applications, bridging the gap between theoretical and applied perspectives in the management of complex adaptive systems. Focusing primarily on natural resource management and community-based conservation, the book features contributions by leading scholars in the field, many of whom are among the leaders of the Resilience Alliance. Theoreticians will find a valuable synthesis of new ideas on resilience, sustainability, asymmetries, information processing, scaling, and networks. Managers and policymakers will benefit from the application of these ideas to practical approaches and empirical studies linked to social-ecological systems. Chapters present new twists on such existing approaches as scenario planning, scaling analyses, and adaptive management, and the book concludes with recommendations on how to manage natural resources, how to involve stakeholders in the dynamics of a system, and how to explain the difficult topic of scale. A vital reference for an emerging discipline, this volume provides a clearer understanding of the conditions required for systems self-organization, since the capacity of any system to self-organize is crucial for its sustainability over time.