An extension of presence/absence coefficients to abundance data: A new look at absence

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

Alternative community analyses, based on quantitative and presence/absence data, are comparable logically if the data type is the only factor responsible for differences among results. For presence/absence indices that consider mutual absences, no quantitative alternatives are known. To facilitate such comparisons, a new family of similarity coefficients is proposed for abundance data. Formally, this extension is achieved by generalizing the four cells of the usual 2 × 2 contingency table to the quantitative case. This implies an expanded meaning of absence: For a given species at a given site it is understood as the difference between the actual value and the maximum detected in the entire study. The correspondence between 10 presence/absence coefficients and their quantitative counterparts is evaluated by graphical comparisons based on artificial data. The behaviour of the new functions is also examined using field data representing post-fire regeneration processes in grasslands and a chronosequence pertaining to forest regeneration after clear-cut. The examples suggest that the new coefficients are most informative for data sets with low beta-diversity and temporal background changes.

Original languageEnglish
Pages (from-to)401-410
Number of pages10
JournalJournal of Vegetation Science
Volume12
Issue number3
Publication statusPublished - 2001

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forest regeneration
new family
chronosequences
grasslands
cells
regeneration
chronosequence
grassland

Keywords

  • Binary data
  • Mutual absence
  • Ordered comparison case series
  • Ordination
  • Resemblance
  • Site dissimilarity

ASJC Scopus subject areas

  • Forestry
  • Plant Science
  • Ecology

Cite this

An extension of presence/absence coefficients to abundance data : A new look at absence. / Tamás, J.; Podaní, J.; Csontos, P.

In: Journal of Vegetation Science, Vol. 12, No. 3, 2001, p. 401-410.

Research output: Contribution to journalArticle

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