meteR (version 1.1)

downscaleSAR: Downscale the species area relationship (SAR) or endemics area relationship (EAR)

Description

Compute METE SAR by downscaling from some larger area A0 to a smaller areas.

Usage

downscaleSAR(x, A, A0, EAR = FALSE)

Arguments

x

an object of class meteESF

A

numerical vector of areas (<= A0) for which the METE prediction is desired

A0

total study area

EAR

logical. TRUE computes the endemics area relatinship

Value

• an object of class sar inheriting from data.frame with columns A and S giving area and species richness, respectively

Details

Unlike the other SAR functions, downscaling can be computed for any arbitrary scale $\leq A_0$.

References

Harte, J. 2011. Maximum entropy and ecology: a theory of abundance, distribution, and energetics. Oxford University Press.

See Also

meteESF, meteSAR, empiricalSAR, upscaleSAR

Examples

data(anbo)
anbo.esf <- meteESF(spp=anbo$spp, abund=anbo$count)
anbo.thr.downscale <- downscaleSAR(anbo.esf, 2^(seq(-3, 4, length=7)), 16)
plot(anbo.thr.downscale)

## theoretical SARs from state variables only
thr.downscale <- downscaleSAR(meteESF(S0=40, N0=400), 2^seq(-1,4,by=1), 16)
thr.downscaleEAR <- downscaleSAR(meteESF(S0=40, N0=400), 2^seq(-1, 4, by=1), 16, EAR=TRUE)
plot(thr.downscale, ylim=c(0, 40), col='red')
plot(thr.downscaleEAR, add=TRUE, col='blue')