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Full Description
Ecological Model Types: Theories and Applications, Second Edition presents an understanding of how to quantitatively analyze complex and dynamic ecosystems with the tools available today. Recently, besides process-based models, data driven models such as machine learning methods are popularly applied in ecological and environmental models. This second edition covers both process-based models and data-driven models which are fundamental and popular in ecological modeling studies with theories and applications. It also explains how ecological modeling can assist the implementation of sustainable development as well as how mathematical models and systems analysis can describe ecological processes, which can support sustainable management of resources.
Contents
1. Introduction: An Overview
Section 1: Process-based models
2. Biogeochemical models
3. Dynamic Population Models
4. Ecotoxicological Models
5. Structurally Dynamic Models (SDMs)
6. Steady State Models
7. Spatially Explicit Models
8. Fugacity Models
9. Network model: Econet
10. Process-based Modelling in Ecology
Section 2: Data-driven models
11. Artificial Neural Networks (Multilayer Perceptron) in Ecology
12. Decision Tree Models
13. Ensemble Models
14. Support Vector Machines for Ecological Modelling
15. Deep learning: Long short-term memory networks
16. Automated Machine Learning



