Systems Science and Modeling for Ecological Economics

Other | July 27, 2010

byAlexey A. Voinov, Alexey A. Voinov

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Modeling is a key component to sciences from mathematics to life science, including environmental and ecological studies. By looking at the underlying concepts of the software, we can make sure that we build mathematically feasible models and that we get the most out of the data and information that we have. This book shows how models can be analyzed using simple math and software to generate meaningful qualitative descriptions of system dynamics. This book shows that even without a full analytical, mathematically rigorous analysis of the equations, there may be ways to derive some qualitative understanding of the general behavior of a system. By relating some of the modeling approaches and systems theory to real-world examples the book illustrates how these approaches can help understand concepts such as sustainability, peak oil, adaptive management, optimal harvest and other practical applications.

* Relates modeling approaches and systems theory to real-world examples
* Teaches students to build mathematically feasible models and get the most out of the data and information available
* Wide range of applications in hydrology, population dynamics, market cycles, sustainability theory, management, and more

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From the Publisher

Modeling is a key component to sciences from mathematics to life science, including environmental and ecological studies. By looking at the underlying concepts of the software, we can make sure that we build mathematically feasible models and that we get the most out of the data and information that we have. This book shows how models ...

Format:OtherDimensions:432 pages, 1 × 1 × 1 inPublished:July 27, 2010Publisher:Elsevier Science & TechLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0080886175

ISBN - 13:9780080886176

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Extra Content

Table of Contents

Preface

Acknowledgments

1 Models and Systems

1.1 Model

1.2 System

1.3 Hierarchy

1.4 The Modeling Process

1.5 Model Classifications

1.6 Systems Thinking

2 The Art of Modeling

2.1 Conceptual Model

2.2 Modeling Software

2.3 Model Formalization

3 Essential Math

3.1 Time

3.2 Space

3.3 Structure

3.4 Building Blocks

4 Model Analysis

4.1 Sensitivity Analysis

4.2 Model Calibration

4.3 Model Testing

4.4 Conclusions

5 Simple Model, Complex Behavior

5.1 Classic Predator-Prey Model

5.2 Modifications of The Classic Model

5.3 Trophic Chains

5.4 Spatial Model of a Predator-Prey System

5.5 Conclusions

6 Water

6.1 Modeling as a Hydrology Primer

6.2 Unit Model

6.3 Spatial Model

6.4 Conclusions

7 Adding Socio-Economics

7.1 Demographics

7.2 Dynamics on the Market

7.3 Corporate Rule

7.4 Sustainability

7.5 The End of Cheap Oil

7.6 The World

8 Optimization

8.1 Introduction

8.2 Resource Management

8.3 Fishpond

8.4 Landscape Optimization

8.5 Optimality Principles

9 The Practice of Modeling

9.1 Why Models Don't Work

9.2 Participatory and Adaptive Modeling

9.3 Open-Source, Web Technologies and Decision Support

9.4 Conclusions

To Conclude

Index