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 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
Chapter 1. Introduction: An Overview
Chapter 2. Biogeochemical Models
Chapter 3. Dynamic Population Models
Chapter 4. Steady State Models
Chapter 5. Earth's Surface Modeling
Chapter 6. Application of Structurally Dynamic Models (SDMs)
Chapter 7. Artificial Neural Networks: Multilayer Perceptron for Ecological Modeling
Chapter 8. Ecotoxicological Models
Chapter 9. Fugacity Models
Chapter 10. Fuzzy Adaptive Management of Coupled Natural and Human Systems
Chapter 11. Coastal Ecosystem Modeling in the Context of Climate Change: An Overview With Case Studies