Understanding Complex Ecosystem Dynamics A Systems and Engineering Perspective 1st Edition by William Yackinous ISBN 0128020636 9780128020630

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ISBN 10:      0128020636
ISBN 13: 978-0128020630
Author:      William S. Yackinous

Understanding Complex Ecosystem Dynamics A Systems and Engineering Perspective 1st  Table of contents:

Chapter 1: A Systems Engineer’s Perspective

• Abstract

• 1.1 Introduction

• 1.2 Definitions

• 1.3 Systems Engineering Skills Framework

• 1.4 Technical Rationality and Reflective Rationality

---

Chapter 2: More Views on Systems Thinking

• Abstract

• 2.1 Origin and Evolution of Systems Thinking Movements

• 2.2 Weaver’s Ranges of System Complexity

• 2.3 The Many Ways of Knowing

• 2.4 A Debate on the Integration of the Sciences and the Humanities

---

Chapter 3: The Major Elements of the Systems Approach

• Abstract

• 3.1 A Blend of Synthesis and Analysis

• 3.2 Network Thinking

• 3.3 The Systems Triad

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Chapter 4: Reductionism and Information Loss

• Abstract

• 4.1 Introduction

• 4.2 Networks and Connections

• 4.3 Short Paths and Power-Law Distributions

• 4.4 Information Theory

• 4.5 Information Loss from Broken Connections

---

Part II: A Function-Structure-Process Framework for Ecological System Dynamics

• Introduction

---

Chapter 5: Overview of an Ecological System Dynamics Framework

• Abstract

• 5.1 Two Essential Questions

• 5.2 Developing the Framework

• 5.3 The Three Core Functions of the Framework

• 5.4 Self-organization and Thermodynamic Entropy in Ecological Systems

---

Chapter 6: Regulation/Adaptation: Control Aspects of Ecological Systems

• Abstract

• 6.1 Introduction

• 6.2 General Principles and Control of Human-Made Systems

• 6.3 Control of Biological/Ecological Systems

• 6.4 Core Function Relationships and the Nature of the Resulting Dynamics

---

Chapter 7: Evolution and Universal Development Concepts

• Abstract

• 7.1 Evolution: Spatial and Temporal Perspectives

• 7.2 Formulating an Evolution Process Model

• 7.3 The Evolution Model as a Universal Development Model

• 7.4 Summary Observations and the Path Forward

---

Part III: Complex Systems Theory: Networks, Nonlinear Dynamics, Cellular Automata, and Fractals (Roughness)

• Introduction

---

Chapter 8: Network Theory: The Structure of Complex Networks

• Abstract

• 8.1 Network Structure Concepts, Properties, and Characteristics

• 8.2 Empirical View of Real-World Networks

• 8.3 Theoretical View of Model Networks

---

Chapter 9: Network Theory: The Dynamics of Complex Networks

• Abstract

• 9.1 Introduction

• 9.2 Scaling, Power Laws, and Fractals

• 9.3 The Dynamics of Network Phase Transitions

• 9.4 Network Dynamics: Processes Taking Place on Networks

• 9.5 Concluding Remarks

---

Chapter 10: Fundamentals of Nonlinear Dynamics

• Abstract

• 10.1 Introduction

• 10.2 Fundamental Concepts

• 10.3 Starting Simple

• 10.4 Types of Attractors

• 10.5 Bifurcation and Complex Nonlinear Behavior

• 10.6 Unpredictability

• 10.7 Universality

---

Chapter 11: Cellular Automata Investigations and Emerging Complex System Principles

• Abstract

• 11.1 Introduction

• 11.2 Some Cellular Automata History

• 11.3 Explicit Experimentation via Cellular Automata

• 11.4 Simple Programs/Simple Rules and Highly Complex Behavior

• 11.5 Cellular Automata Classes

• 11.6 All Kinds of Systems

• 11.7 A Computational View of Systems

• 11.8 The Principle of Computational Equivalence

• 11.9 Summary of My Perspectives on These Complex System Principles

---

Chapter 12: Fractals: The Theory of Roughness

• Abstract

• 12.1 Introduction

• 12.2 Fractals and Roughness

• 12.3 Fractal Geometry

• 12.4 The Mandelbrot Set

• 12.5 My Perspectives

---

Part IV: A View of the Characteristics of Ecological Network Dynamics

• Introduction

---

Chapter 13: Issues of Human Perception

• Abstract

• 13.1 Introduction

• 13.2 Is Reality Knowable?

• 13.3 Limitations of Human Perception

• 13.4 Roughness vs. Smoothness

• 13.5 Modeling and Human Perception

---

Chapter 14: The Nature of Order and Complexity in Ecological Systems

• Abstract

• 14.1 Introduction

• 14.2 Thinking about Order, Complexity, and Systems

• 14.3 The Myth of Persistence

• 14.4 Chance and Change: Probabilistic Aspects of Natural Systems

• 14.5 Optimal or Good Enough?

---

Chapter 15: Characteristics of Ecological Network Dynamics

• Abstract

• 15.1 Introduction

• 15.2 Flickering Networks

• 15.3 Punctuated Dynamics

• 15.4 Fractal Behavior

• 15.5 Local-to-Global Interaction

• 15.6 Indirect Effects

• 15.7 The Characteristics Hypothesis

---

Part V: Modeling Ecological Network Dynamics and the Generation and Analysis of Results

• Introduction

---

Chapter 16: A New Approach to Modeling Ecological Network Dynamics

• Abstract

• 16.1 Introduction

• 16.2 Overview of Model Features

• 16.3 Cellular Automata-Based Model

• 16.4 Propagation Neighborhoods and Preferences

• 16.5 Underlying Ecological Network Compartment Model

• 16.6 Simple Rules

• 16.7 Summary of Analysis Requirements

• 16.8 Comment on Intention

---

Chapter 17: Model Software Design and Development

• Abstract

• 17.1 Introduction

• 17.2 Model Network Structure, Parameters, and Relationships

• 17.3 Ecological Network Propagation Process

• 17.4 Analysis Activities

• 17.5 Graphics Generation

• 17.6 A Note about Results

---

Chapter 18: Ecological Network Dynamics Results

• Abstract

• 18.1 Introduction

• 18.2 Operational Propagation Flow Results

• 18.3 Network Propagation Event Results

• 18.4 Path Length Results

• 18.5 Indirect Effects Results

• 18.6 Network Connectivity Results

---

Part VI: Pulling It All Together

• Introduction

---

Chapter 19: An Increased Understanding of Complex System Dynamics

• Abstract

• 19.1 Summary of the Work

• 19.2 An Advantageous Perspective

• 19.3 The Mechanism of Complexity

• 19.4 The Characteristics of Complex Ecosystem Dynamics

• 19.5 Complex System Universal Behavior

• 19.6 A Going-Forward Integrated View of Complex System Dynamics

 

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