Measure the distribution of narrow-ranged or endemic species.
weighted_endemism
is species richness inversely weighted by species ranges.
weighted_endemism(x)
x
: A (sparse) community matrix.A data frame of species traits by site.
library(terra) data(africa) p <- vect(system.file("ex/sa.json", package = "phyloregion")) Endm <- weighted_endemism(africa$comm) m <- merge(p, data.frame(grids=names(Endm), WE=Endm), by="grids") m <- m[!is.na(m$WE),] plot(m, "WE", col = hcl.colors(20), type="continuous")
Crisp, M.D., Laffan, S., Linder, H.P. & Monro, A. (2001) Endemism in the Australian flora. Journal of Biogeography 28 : 183–198.
Daru, B.H., Farooq, H., Antonelli, A. & Faurby, S. (2020) Endemism patterns are scale dependent. Nature Communications 11
: 2115.
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