Analysing associations among more than two species

Research output: Contribution to journalArticle

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Abstract

Although the existence of higher order associations has been proved, interspecific association is generally treated as a pair-wise phenomenon. Its possible reason is that although pair-wise association is only an imperfect description of the relationships among species, its methods are simple and well known. Unfortunately, the complexity of vegetation can not be described by such simplex methods. This paper shows two methods which enable detailed analysis of higher-order associations: Juhász-Nagy's information theory functions and the log-linear contingency table analysis. From mathematical point of view, the two methods are closely related (both methods measure the non-randomness in the multi-way contingency tables). On the other hand, their theoretical backgrounds are different. The log-linear contingency table analysis was developed by statisticians to solve general statistical problems, while Juhász-Nagy's approach was developed by a biologist to solve biological problems. The aim of this paper is to show how these two approaches decompose the total association, to point at the similarities and differences between the two approaches, and by this way to facilitate the analysis of higher order associations.

Original languageEnglish
Pages (from-to)1-19
Number of pages19
JournalApplied Ecology and Environmental Research
Volume4
Issue number2
Publication statusPublished - 2006

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methodology
biologists
method
vegetation
analysis

Keywords

  • 3rd-order association
  • Associatum
  • Diversity of species combinations
  • Pattern analysis

ASJC Scopus subject areas

  • Ecology
  • Environmental Science(all)

Cite this

Analysing associations among more than two species. / Botta-Dukát, Z.

In: Applied Ecology and Environmental Research, Vol. 4, No. 2, 2006, p. 1-19.

Research output: Contribution to journalArticle

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