Learn R Programming

tabula (version 2.0.0)

turnover: Turnover

Description

Returns the degree of turnover in taxa composition along a gradient or transect.

Usage

turnover(object, ...)

index_whittaker(x, ...)

index_cody(x, ...)

index_routledge1(x, ...)

index_routledge2(x, ...)

index_routledge3(x, ...)

index_wilson(x, ...)

# S4 method for matrix turnover( object, method = c("whittaker", "cody", "routledge1", "routledge2", "routledge3", "wilson"), ... )

# S4 method for data.frame turnover( object, method = c("whittaker", "cody", "routledge1", "routledge2", "routledge3", "wilson"), ... )

# S4 method for matrix index_whittaker(x)

# S4 method for matrix index_cody(x)

# S4 method for matrix index_routledge1(x)

# S4 method for matrix index_routledge2(x)

# S4 method for matrix index_routledge3(x)

# S4 method for matrix index_wilson(x)

Value

A numeric vector.

Arguments

object, x

A \(m \times p\) matrix of count data or incidence data.

...

Further arguments to be passed to internal methods.

method

A character string specifying the method to be used (see details). Any unambiguous substring can be given.

Author

N. Frerebeau

Details

The following methods can be used to ascertain the degree of turnover in taxa composition along a gradient (\(\beta\)-diversity) on qualitative (presence/absence) data. This assumes that the order of the matrix rows (from \(1\) to \(n\)) follows the progression along the gradient/transect.

whittaker

Whittaker measure.

cody

Cody measure.

routledge1

Routledge first measure.

routledge2

Routledge second measure.

routledge3

Routledge third measure. This is the exponential form of the second measure.

wilson

Wilson measure.

References

Cody, M. L. (1975). Towards a theory of continental species diversity: Bird distributions over Mediterranean habitat gradients. In M. L. Cody & J. M. Diamond (Eds.), Ecology and Evolution of Communities. Cambridge, MA: Harvard University Press, p. 214-257.

Routledge, R. D. (1977). On Whittaker's Components of Diversity. Ecology, 58(5), 1120-1127. tools:::Rd_expr_doi("10.2307/1936932").

Whittaker, R. H. (1960). Vegetation of the Siskiyou Mountains, Oregon and California. Ecological Monographs, 30(3), 279-338. tools:::Rd_expr_doi("10.2307/1943563").

Wilson, M. V., & Shmida, A. (1984). Measuring Beta Diversity with Presence-Absence Data. The Journal of Ecology, 72(3), 1055-1064. tools:::Rd_expr_doi("10.2307/2259551").

See Also

Other diversity measures: heterogeneity(), occurrence(), plot_diversity, rarefaction(), richness(), similarity(), simulate()

Examples

Run this code
## Data from Magurran 1988, p. 162
trees <- matrix(
  data = c(1, 1, 1, 0, 0, 0,
           1, 1, 1, 1, 1, 1,
           0, 0, 1, 0, 1, 0,
           0, 0, 0, 1, 1, 1,
           0, 0, 0, 0, 1, 1,
           0, 0, 0, 1, 0, 1),
  nrow = 6, byrow = FALSE
)
colnames(trees) <- c("Birch", "Oak", "Rowan", "Beech", "Hazel", "Holly")

## Whittaker's measure
turnover(trees, "whittaker") # 1

## Cody's measure
turnover(trees, "cody") # 3

## Routledge's measures
turnover(trees, "routledge1") # 0.29
turnover(trees, "routledge2") # 0.56
turnover(trees, "routledge3") # 1.75

## Wilson and Shmida's measure
turnover(trees, "wilson") # 1

Run the code above in your browser using DataLab