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Fourth-corner generation of plant functional response groups

In English

Författare

Summary, in English

Plant functional response groups (PFGs) are now widely established as a tool to investigate plant-environment relationships. Different statistical methods to form PFGs are used in the literature. One way is to derive emergent groups by classifying species based on correlation of biological attributes and subjecting these groups to tests of response to environmental variables. Another way is to search for associations of occurrence data, environmental variables and trait data simultaneously. The fourth-corner method is one way to assess the relationships between single traits and habitat factors. We extended this statistical method to a generally applicable procedure for the generation of plant functional response groups by developing new randomization procedures for presence/absence data of plant communities. Previous PFG groupings used either predefined groups or emergent groups i.e. classifications based on correlations of biological attributes (Lavorel et al Trends Ecol Evol 12:474-478, 1997), of the global species pool and assessed their functional response. However, since not all PFGs might form emergent groups or may be known by experts, we used a permutation procedure to optimise functional grouping. We tested the method using an artificial test data set of virtual plants occurring in different disturbance treatments. Direct trait-treatment relationships as well as more complex associations are incorporated in the test data. Trait combinations responding to environmental variables could be clearly distinguished from non-responding combinations. The results are compared with the method suggested by Pillar (J Veg Sci 10:631-640) for the identification of plant functional groups. After exploring the statistical properties using an artificial data set, the method is applied to experimental data of a greenhouse experiment on the assemblage of plant communities. Four plant functional response groups are formed with regard to differences in soil fertility on the basis of the traits canopy height and spacer length.

Publiceringsår

2009

Språk

Engelska

Sidor

561-584

Publikation/Tidskrift/Serie

Environmental and Ecological Statistics

Volym

16

Issue

4

Dokumenttyp

Artikel i tidskrift

Förlag

Springer

Ämne

  • Physical Geography

Nyckelord

  • Null models
  • Functional response groups
  • Functional groups
  • Fourth-corner method
  • Canopy height
  • Plant
  • Plant traits
  • Seed weight
  • Spacer length

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 1352-8505