Ecological Model Types

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 problemsHelps readers understand complex ecosystems by walking through the best modeling options to analyze and predict environmental effectsProvides 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