Exploring plant community dynamics in abstract coenostate spaces

Research output: Contribution to journalArticle

33 Citations (Scopus)

Abstract

The paper addresses a fundamental issue of plant ecology: how to find the links between the analysis of spatial pattern and community dynamics. It is demonstrated that temporal processes can be effectively illustrated in abstract spaces with coenostate descriptors as dimensions. If these descriptors are based on Juhasz-Nagy's information theory methodology, then a new approach results which treats spatial and temporal aspects, spatial dependence (species associations) and spatial variability (diversity) simultaneously, providing a promising tool at the hand of plant eologists. The new method is illustrated by actual and simulated data.

Original languageEnglish
Pages (from-to)49-66
Number of pages18
JournalAbstracta Botanica
Volume22
Issue number1-2
Publication statusPublished - Dec 1 1998

Keywords

  • Chronoseries
  • Diversity
  • Information theory
  • Quadrat size
  • Scale
  • Simulations
  • Spatiotemporal pattern
  • Species associations
  • Succession

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)

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