Ecological Model Types
- 1st Edition, Volume 28 - October 28, 2016
- Editor: Sven Erik Jørgensen
- Language: English
- Hardback ISBN:9 7 8 - 0 - 4 4 4 - 6 3 6 2 3 - 2
- eBook ISBN:9 7 8 - 0 - 4 4 4 - 6 3 6 2 6 - 3
Ecological Model Types brings an understanding on how to quantitatively analyze complex and dynamic ecosystems with the tools available today. Ecosystem studies widely use the n… Read more

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Request a sales quoteEcological Model Types brings an understanding on how to quantitatively analyze complex and dynamic ecosystems with the tools available today. Ecosystem studies widely use the notions of order, complexity, randomness, and organization, and are used interchangeably in literature, which causes much confusion.
Better models synthesize our knowledge on ecosystems and their environmental problems, in contrast to statistical analysis, which only reveal the relationships between the data. This book brings together experts on ecological models to create a definitive work on how to understand our complex Earth.
- Bridges the gap between statistical analysis and synthesis of data, enhancing our understanding about ecosystems and their environmental problems
- Helps readers understand complex ecosystems by walking through the best modeling options to analyze and predict environmental effects
- Provides a detailed review of 14 model types, covering the breadth of options available for analysis at this time
- List of Contributors
- Acknowledgements
- Chapter 1. Introduction: An Overview
- 1.1. Application of Ecological Modeling
- 1.2. Model Classification and Model Types
- 1.3. Application of the 14 Model Types
- 1.4. The Ecosystem as an Object for Modeling
- Chapter 2. Biogeochemical Models
- 2.1. Advantages and Properties of Biogeochemical Models
- 2.2. Modeling Elements
- 2.3. The Modeling Procedure
- 2.4. Ecological and Environmental Biogeochemical Models
- Chapter 3. Dynamic Population Models
- 3.1. A Definition of a Population Model
- 3.2. The First Law (Model) of Population Dynamics: Malthus Law
- 3.3. The Second Law of Population Dynamics: Verhulst Law
- 3.4. A Logistic Population in Periodic Environment
- 3.5. A Logistic Population in a Random Environment
- 3.6. Prey–Predator Models
- 3.7. Models of Competition
- 3.8. Models of Cooperation
- 3.9. Food Chains
- 3.10. Cycling of Matter
- 3.11. Conclusions
- 3.12. A Brief History of Population Modeling
- Chapter 4. Steady State Models
- 4.1. Steady State Model: Ecopath as an Example
- 4.2. Ecopath Model for a Large Chinese Lake: A Case Study
- 4.3. Conclusions
- Chapter 5. Earth's Surface Modeling
- 5.1. Introduction
- 5.2. Equivalent Indexes
- 5.3. High Accuracy Surface Modeling
- 5.4. The Fundamental Theorem of Earth's Surface Modeling and Its Corollaries
- 5.5. Conclusions
- Chapter 6. Application of Structurally Dynamic Models (SDMs)
- 6.1. Introduction
- 6.2. Ecosystem Properties
- 6.3. Development of Structurally Dynamic Models
- 6.4. Overview of Structurally Dynamic Models Using Work Energy as Goal Function
- 6.5. Development of Structurally Dynamic Model for Darwin's Finches
- 6.6. Application of Structurally Dynamic Model for the Assessment of Ecological Changes Due to Climate Changes
- 6.7. Conclusions
- Chapter 7. Artificial Neural Networks: Multilayer Perceptron for Ecological Modeling
- 7.1. Introduction
- 7.2. Multilayer Perceptron
- 7.3. MLPs in Ecological Modeling
- 7.4. Advantages and Disadvantages of MLPs
- 7.5. Example of MLP Usage in Ecological Modeling
- Chapter 8. Ecotoxicological Models
- 8.1. Application of Ecotoxicological Models
- 8.2. Characteristics of Ecotoxicological Models
- 8.3. An Overview: The Application of Models in Ecotoxicology
- 8.4. Estimation of Ecotoxicological Parameters
- 8.5. Ecotoxicological Case Study I: Contamination of Agricultural Products by Cadmium and Lead
- 8.6. Illustrations of Ecotoxicological Models Used as Experimental Tools
- Chapter 9. Fugacity Models
- 9.1. Fugacity Models: Development and Applications
- 9.2. Fugacity Model for PAHs in Lake Small Baiyangdian, Northern China: A Case Study
- 9.3. Conclusions
- Chapter 10. Fuzzy Adaptive Management of Coupled Natural and Human Systems
- 10.1. Introduction
- 10.2. Methods
- 10.3. Discussion
- 10.4. Conclusions
- Chapter 11. Coastal Ecosystem Modeling in the Context of Climate Change: An Overview With Case Studies
- 11.1. Models as Tools for Assessing the Effects of Climate Change on Coastal Ecosystems
- 11.2. Case Studies
- 11.3. Challenges in Predicting the Effects of Climate Change on Coastal Ecosystems
- 11.4. Conclusions
- Index
- No. of pages: 278
- Language: English
- Edition: 1
- Volume: 28
- Published: October 28, 2016
- Imprint: Elsevier
- Hardback ISBN: 9780444636232
- eBook ISBN: 9780444636263
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