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Modelling Complex Ecological Dynamics An Introduction into Ecological Modelling for Students, Teachers & Scientists /

Model development is of vital importance for understanding and management of ecological processes. Identifying the complex relationships between ecological patterns and processes is a crucial task. Ecological modelling-both qualitatively and quantitatively-plays a vital role in analysing ecological...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Jopp, Fred (Editor ), Reuter, Hauke (Editor ), Breckling, Broder (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011.
Edición:1st ed. 2011.
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction; Theoretical backgrounds: Scope and general definitions used in ecological modelling; What are the general conditions, under which models can be applied?; History of ecological modelling, and modern developments
  • Modelling Techniques and Approaches; Context assessment and Systems analysis; Steady State Models of Ecological Systems; Ordinary Differential Equations; Partial Differential Equations Cellular Automata; Leslie-Matrices; Fuzzy Sets; L-Systems, and Fractals; Agent- and Individual-based Models; Modelling landscape dynamics and Habitat Suitability; Decision trees and data mining
  • Application fields, case studies and examples; Conceptual and theoretical models (Analysing Landscape Structure using Neutral Models); Case Studies: Application of ecological models in management (Coral-Algae-Interaction; Stage-structured invasion models; Trophic Cascades and Food Web Stability in Fish Communities of the Everglades); Case Studies: Model Coupling and Multi-scale issues (Bio-Physical Models: An Evolving Tool in Marine Ecological Research; Potentials of GIS - Model Coupling; Modelling the Everglades Ecosystem)
  • Strategies of model development; Model validation, Parameter estimation, Sensitivity Analysis.