coldspots and hotspots map areas or grid cells with lowest or highest values, respectively, of a biodiversity metric e.g. species richness, species endemism or degree of threat.
prob: The threshold quantile for representing the lowest (coldspots) or highest (hotspots) proportion of biodiversity in an area. By default, the threshold is set to prob = 2.5 percent.
na.rm: logical; if true, any NA and NaN's are removed from x before the quantiles are computed.
...: Further arguments passed to or from other methods.
Returns
A vector of integers of 1s and 0s with 1 corresponding to the coldspots or hotspots
Examples
library(terra)data(africa)p <- vect(system.file("ex/sa.json", package ="phyloregion"))Endm <- weighted_endemism(africa$comm)C <- coldspots(Endm)# coldspotsH <- hotspots(Endm)# hotspots## Merge endemism values to shapefile of grid cells.DF <- data.frame(grids=names(C), cold=C, hot=H)m <- merge(p, DF, by ="grids", all =TRUE)plot(p, border ="grey", col ="lightgrey", main ="Weighted Endemism Hotspots and Coldspots")plot(m[(m$cold ==1),], col ="blue", add =TRUE, border =NA)plot(m[(m$hot ==1),], col ="red", add =TRUE, border =NA)legend("bottomleft", fill = c("blue","red","yellow","green"), legend = c("coldspots","hotspots"), bty ="n", inset =.092)
References
Myers, M., Mittermeier, R.A., Mittermeier, C.G., da Fonseca, G.A.B. & Kent, J. (2000) Biodiversity hotspots for conservation priorities. Nature 403 : 853–858.
Ceballos, G. & Ehrlich, P.R. (2006) Global mammal distributions, biodiversity hotspots, and conservation. Proceedings of the National Academy of Sciences USA 103 : 19374–19379.
Orme, C.D., Davies, R.G., Burgess, M., Eigenbrod, F., Pickup, N. et al. (2005) Global hotspots of species richness are not congruent with endemism or threat. Nature 436 : 1016–1019.
Daru, B.H., Van der Bank, M. & Davies, T.J. (2015) Spatial incongruence among hotspots and complementary areas of tree diversity in southern Africa. Diversity and Distributions 21 : 769-780.