betadiversity: Estimates Beta Diversity as the instantaneous rate of change...
In gravy: Gradient Analysis of Vegetation

Description Usage Arguments Details Value Author(s) References See Also Examples

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

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

`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.

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.

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

`x`	Used gradient values.
`beta`	Beta diversity at the gradient points.

...

Jari Oksanen

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

HOF.

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)