DAI: Estimate the index of dominance of the principal axis: DAI.

Description Usage Arguments Details Value References See Also Examples

Description

Estimate the index of dominance of the principal axis (DAI) from an aRchi object.

Usage

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DAI(aRchi)

## S4 method for signature 'aRchi'
DAI(aRchi)

Arguments

aRchi

an object of class aRchi with at least the QSM and the Paths table

Details

The idea of DAI is to disentangle architectures of trees with a strong apical dominance, i.e. with a central main stem growing more strongly than other side axes (such as in most conifers, for instance), from those having a spread out branching pattern with similar axes and no obvious main stem.

The higher the index the more dominant the principal axis. DAI is computed based on the indices A0 which is an index of the probability of being the principal axis for each path of the tree (see function Compute_A0). More information are given in Martin-Ducup et al 2020

Value

Numeric. The value of DAI.

References

Martin-Ducup, O. et al. Terrestrial laser scanning reveals convergence of tree architecture with increasingly dominant crown canopy position. Functional Ecology (2020).

See Also

Compute_A0 to identify the principal axis (i.e max(A0)).

Examples

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# Read an aRchi file with at least the QSM and the paths table
file=system.file("extdata","Tree_1_aRchi.aRchi",package = "aRchi")
Tree1_aRchi=read_aRchi(file)

DAI(Tree1_aRchi)

aRchi documentation built on April 16, 2021, 5:08 p.m.

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