Estimates Beta Diversity as the instantaneous rate of change at any gradient point.

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Description

The function betadiversity estimates the beta diversity as the instantenous rate of change at any gradient point.

Usage

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betadiversity(object, x, ...)
## S3 method for class 'betadiversity'
plot(x, type="b", xlab, ylab, splines = FALSE,  ...)

Arguments

object

A response frame object: Fitted models for species.

x

Gradient values.

type

Type of graph.

xlab, ylab

Axis labels; defaults provided if these are missing.

splines

Use interpolating spline to draw smooth lines.

...

Other parameters.

Details

The function finds the instantenous rate of change along the gradient from the fitted response functions for species.

Currently the function is implemented for HOF models only.

The function has a plot method.

Value

The function returns an object of class "betadiversity" with the following items:

x

Used gradient values.

beta

Beta diversity at the gradient points.

...

Author(s)

Jari Oksanen

References

Oksanen, J. & Tonteri, T. (1995). Rate of compositional turnover along gradients and total gradient length. Journal of Vegetation Science 6, 815-824.

See Also

HOF.

Examples

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data(mtf01)
data(mtf.alt)
attach(mtf.alt)
mod <- HOF(mtf01, Altitude, 1)
x <- seq(min(Altitude), max(Altitude), len=101)
beta <- betadiversity(mod, x)
plot(beta)