Chapter 8. Static Explanatory Modelling

  1. Otto Wildi

Published Online: 14 JUL 2010

DOI: 10.1002/9780470664971.ch8

Data Analysis in Vegetation Ecology

Data Analysis in Vegetation Ecology

How to Cite

Wildi, O. (2010) Static Explanatory Modelling, in Data Analysis in Vegetation Ecology, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470664971.ch8

Author Information

  1. WSL Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland

Publication History

  1. Published Online: 14 JUL 2010
  2. Published Print: 9 APR 2010

ISBN Information

Print ISBN: 9780470661024

Online ISBN: 9780470664971

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Keywords:

  • static explanatory modelling;
  • logical and theoretical models - strength in universality of validity;
  • correlative relationships - as tools for ‘forecasting’;
  • models assuming Gaussian response of species - to environmental factors;
  • Bayes probability model - theoretical framework handling multiple probabilities;
  • predicting wetland vegetation;
  • real-world examples, testing of methodological and practical questions;
  • mean and standard deviation within groups of pH and water level - in Bayes model of ‘Schlaenggli’ data set

Summary

This chapter contains sections titled:

  • Predictive or explanatory?

  • The Bayes probability model

  • Predicting wetland vegetation (example)