upscaleSAR: upscale SAR

Description

Based on information at an anchor scale (A0) calcuate predicted species area relationship at larger scales

Usage

upscaleSAR(x, A0, Aup, EAR = FALSE)

Arguments

an object of class meteESF

the anchor scale at which community data are availible.

Aup

the larges area to which to upscale

EAR

logical. TRUE computes the endemics area relatinship; currently not supported

Value

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

Details

Currently only doublings of area are supported and only the SAR (not EAR) is supported. Upscaling works by iteratively solving for the constraints ($S$ and $N$ at larger scales) that would lead to the observed data at the anchor scale. See references for more details on this approach.

References

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

Examples

Run this code

data(anbo)
anbo.sar <- meteSAR(anbo$spp, anbo$count, anbo$row, anbo$col, Amin=1, A0=16)
anbo.sar
plot(anbo.sar, xlim=c(1, 2^10), ylim=c(3, 50), log='xy')

## get upscaled SAR and add to plot
anbo.esf <- meteESF(spp=anbo$spp, abund=anbo$count) # need ESF for upscaling
anbo.sarUP <- upscaleSAR(anbo.esf, 16, 2^10)
plot(anbo.sarUP, add=TRUE, col='blue')

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