Systems Science and Modeling for Ecological Economics
Published on 4. July 2008
Book
Hardback
432 pages
978-0-12-372583-7 (ISBN)
Description
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. Systems Science and Modeling for Ecological Economics 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.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Primary: researchers and students in ecological economics and environmental modeling; Secondary: researchers/students in natural resource management.
Product notice
sewn/stitched
Paper over boards
Dimensions
Height: 267 mm
Width: 194 mm
Thickness: 28 mm
Weight
1238 gr
ISBN-13
978-0-12-372583-7 (9780123725837)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Content
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
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