, Volume 78, Issue 1, pp 31–44

Prediction of macrofungal occurrence in Swedish beech forests from soil and litter variable models

  • Poul Anker Hansen

DOI: 10.1007/BF00045637

Cite this article as:
Hansen, P.A. Vegetatio (1988) 78: 31. doi:10.1007/BF00045637


The spatial distribution of 49 macrofungal species in Swedish beech forests was related to the statistical variation in 31 edaphic variables. In order to reduce the multicollinearity problem, the variables were transformed into eight principal components, PCs, which are used in two-group discriminant analysis (on absence/presence patterns) and multiple regression analysis (on number of fruit-bodies). The results suggested that base saturation and organic matter content are of outstanding importance. However, significant relationships were also found with other variables, i.e. Cd or Zn in soil and litter, soil nitrogen mineralization rate, and Na or S in litter. One interesting interpretation of the results is that fungi do not only respond to the main variables of a gradient (soil pH, organic mater, base saturation) but also to other variables. Attempts were made to interpret the PCs to characterize fungal occurrence from the models they formed.


Edaphical variable Macrofungus Multiple regression analysis Principal components analysis Two-group discriminant analysis 

Copyright information

© Kluwer Academic Publishers 1988

Authors and Affiliations

  • Poul Anker Hansen
    • 1
  1. 1.Department of Ecology, Plant EcologyUniversity of LundLundSweden