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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Jopp, Fred (Επιμελητής έκδοσης), Reuter, Hauke (Επιμελητής έκδοσης), Breckling, Broder (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.