Librería Biogea COLOGICAL MODEL TYPES, VOLUME 28

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COLOGICAL MODEL TYPES, VOLUME 28
Título:
COLOGICAL MODEL TYPES, VOLUME 28
Subtítulo:
Autor:
EDITOR: SVEN ERIK JØRGENSEN
Editorial:
ELSEVIER SCIENCE
Año de edición:
2016
Materia
MÉTODOS
ISBN:
978-0-444-63623-2
Páginas:
278
Tamaño:
190 x 235
Disponibilidad:
Disponible
129,00 € Comprar

Sinopsis

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.
Key Features

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

Readership

Environmental scientists and engineers, ecologists, environmental modellers and scientists studying climate change

Índice

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 F