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Theoretical Systems Ecology
Advances and Case Studies
1st Edition - January 28, 1979
Author: Efraim Halfon
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 1 4 6 9 2 - 0
Theoretical Systems Ecology: Advances and Case Studies aims to relate systems ecology theory to theoretical systems ecologists and other theoreticians in systems science. The main… Read more
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Theoretical Systems Ecology: Advances and Case Studies aims to relate systems ecology theory to theoretical systems ecologists and other theoreticians in systems science. The main language of systems theory is mathematics. This book somewhat simplifies concepts, advances, and developments of the field to non-mathematicians who lack background in some aspects of systems ecology. It presents examples after every chapter that shows the application of theory to the development and analysis of models. This book generally focuses on three problems. The first problem is the selection of components found in the system model. The definition of the relationships and interactions between the system variables is another concern of this book. It also looks into the model analysis. These problems are thoroughly discussed in each section of the book. The theory of modeling, formalisms, classes, and properties of models are covered in the first two sections of this book. A whole section in this book is dedicated to Systems Identification and deals mostly with the problem of extracting information from data. Other sections cover model analysis with focus on trends in some aspects, such as stability and control theory.
List of Contributors
Preface
Preview: Theory in Ecosystem Analysis
1. Introduction
2. Aggregation and Organization
3. Model Structures, Formalisms, and Theory of Modeling
4. System Identification
5. Model Analysis, Control Theory, and Stability
6. Outlook
References
Part I Aggregation and Organization
Chapter 1 Multilevel Multiformalism Modeling: An Ecosystem Example
1. Introduction
2. The Ecosystem: Questions of Interest and Models
3. Organization of Questions and Models
4. Experimental Frames
5. Constructed Models
6. Organization of Models
7. Applicability of Frames to Models
8. Summary
9. Discussion
Appendix: Some Results on Estimated Parameters and Model Cross Comparison
References
Chapter 2 Concerning Aggregation in Ecosystem Modeling
1. Introduction
2. Modeling: General
3. Modeling: Specific
4. The Aggregation Model
5. Concluding Remarks
Appendix
References
Chapter 3 Use of First-Order Analysis in Estimating Mass Balance Errors and Planning
Sampling Activities
1. Introduction
2. First-Order Analysis
3. Results
4. Applications to Experimental Design
5. Summary
Appendix: Notation
References
Part II Model Structures, Formalisms, and Theory of Modeling
Chapter 4 Prediction, Chaos, and Ecological Perspective
1. Introduction
2. Determinism and Chaos
3. Ecological Perspective
4. Summary
References
Chapter 5 Hierarchical Organization of Ecosystems
1. Introduction
2. Definition of Hierarchy
3. The Hierarchical Organization of Nature
4. Hierarchical Levels of Ecological Interest
5. Application of Hierarchy Theory to Ecosystems
References
Chapter 6 Hierarchical Adaptability Theory and Its Cross-Correlation with Dynamical Ecological Models
1. Introduction
2. Review of Adaptability Theory
3. Hierarchical Adaptability Theory
4. Cross-Correlation with Dynamical Ecological Models
5. Conclusion
References
Chapter 7 Structure and Stability of Model Ecosystems
1. Introduction
2. System Structure
3. Partitions and Condensations
4. Vulnerability of Structure
5. Vulnerability of Stability
6. Conclusion
References
Chapter 8 Systems Approach to Continental Shelf Ecosystems
1. Introduction
2. Causal Theory of Environment
3. Causal Analysis of Ecosystems
4. Flow Analysis of the Ross Sea Pelagic Ecosystem
5. Summary
References
Chapter 9 A Framework for Dynamical System Models: Cause-Effect Relationships and State Representations
1. Introduction
2. Input-Output System
3. Causality
4. State
5. Discussion of Ecological Examples
References
Part III System Identification
Chapter 10 Structural Identifiability of Linear Compartmental Models
1. Introduction
2. Linear Time-Invariant Compartmental Models
3. The Problem of Structural Identifiability
4. Structural Properties Related to Identifiability
5. The Analysis of Structural Identifiability
6. Examples and Conclusions
References
Chapter 11 Model Structure Identification from Experimental Data
1. Introduction
2. System Identification: A Brief Review
3. Model Structure Identification: Black Box Models
4. Model Structure Identification: Internally Descriptive Models
5. Conclusions
References
Chapter 12 Computer-Aided Systems Modeling
1. Introduction
2. Relevant Concepts
3. Systems Modeling
4. Examples of Systems Modeling in Ecology
5. Conclusions
References
Chapter 13 Identification of the Mathematical Model of a Complex System by the Self-Organization Method
1. Introduction
2. Present State of the Theory of Computer-Aided Self-Organization of Mathematical Models
3. Computer-Aided Self-Organization of Models
4. Discovery of Laws with the Aid of GMDH
5. Application of GMDH to Environmental Problems
6. Conclusions
References
Part IV Model Analysis, Control Theory, and Stability
Chapter 14 An Analysis of Turnover Times in a Lake Ecosystem and Some Implications for System Properties
1. Introduction
2. Methods
3. Results
4. Discussion
5. Summary and Conclusions
References
Chapter 15 The Usefulness of Optimal Control Theory to Ecological Problem
1. Introduction
2. Discrete-Time Optimal Control
3. Continuous-Time Optimal Control
4. Conclusions
References
Chapter 16 Toward Optimal Impulsive Control of Agroecosystems
1. Introduction
2. Optimal Single-Impulse Control of S-Shaped Growth
3. Numerical Experiments
4. Comments on the Optimal Impulse Control of J-Shaped Growth
5. Concluding Remarks
References
Chapter 17 Hierarchical Methods in River Pollution Control
1. Introduction
2. Problem Formulation
3. The Three-Level Method of Tamura
4. The Time Delay Algorithm of Tamura
5. The Interaction Prediction Approach
6. River Pollution Control
7. Hierarchical Feedback Control for Linear Quadratic Problems
8. Extension to the Servomechanism Case
9. Conclusions
References
Chapter 18 Ecosystem Stability and the Distribution of Community Matrix Eigenvalues
1. Introduction
2. A Practical Measure of Stability
3. Analysis of the Stability Measure
4. Discussion
Appendix
References
Chapter 19 Robust Stability Concepts for Ecosystems Models
1. Introduction
2. Global and Finite Stability
3. Nonvulnerability
4. Sector Stability
5. Conclusion
References
Chapter 20 Stability of Holistic Ecosystem Models
1. Introduction
2. Holistic Ecosystem Modeling
3. Discussion
4. Conclusion
Appendix
References
Index
- No. of pages: 532
- Language: English
- Published: January 28, 1979
- Imprint: Academic Press
- eBook ISBN: 9780323146920