BAT (version 2.1.1)

raster.beta: Maps of beta diversity (Taxon, Phylogenetic or Functional Diversity - TD, PD, FD).

Description

Observed beta diversity using rasters of species distributions (presence/absence or abundance).

Usage

raster.beta(layers, tree, func = "jaccard", neighbour = 8, abund = FALSE)

Arguments

layers

A Raster* object of species distributions (typically a multi-layer type: RasterStack or RasterBrick).

tree

An hclust or phylo object (used only for PD or FD).

func

Partial match indicating whether the Jaccard or Soerensen family of beta diversity measures should be used. If not specified, default is Jaccard.

neighbour

Either 8 (default) or 4 cells considered to calculate beta diversiy of each focal cell.

abund

A boolean (T/F) indicating whether abundance data should be used (TRUE) or converted to incidence (FALSE) before analysis.

Value

A raster.stack object representing Btotal, Brepl and Brich in space.

Details

The beta diversity measures used here follow the partitioning framework independently developed by Podani & Schmera (2011) and Carvalho et al. (2012) and later expanded to PD and FD by Cardoso et al. (2014), where Btotal = Brepl + Brich. Btotal = total beta diversity, reflecting both species replacement and loss/gain; Brepl = beta diversity explained by replacement of species alone; Brich = beta diversity explained by species loss/gain (richness differences) alone. PD and FD are calculated based on a tree (hclust or phylo object, no need to be ultrametric). The path to the root of the tree is always included in calculations of PD and FD. The number and order of species in layers must be the same as in tree.

References

Cardoso, P., Rigal, F., Carvalho, J.C., Fortelius, M., Borges, P.A.V., Podani, J. & Schmera, D. (2014) Partitioning taxon, phylogenetic and functional beta diversity into replacement and richness difference components. Journal of Biogeography, 41, 749-761.

Carvalho, J.C., Cardoso, P. & Gomes, P. (2012) Determining the relative roles of species replacement and species richness differences in generating beta-diversity patterns. Global Ecology and Biogeography, 21, 760-771.

Gotelli, N.J. & Colwell, R.K. (2001) Quantifying biodiversity: procedures and pitfalls in the measurement and comparison of species richness. Ecology Letters, 4, 379-391.

Podani, J. & Schmera, D. (2011) A new conceptual and methodological framework for exploring and explaining pattern in presence-absence data. Oikos, 120, 1625-1638.

Examples

# NOT RUN {
sp1 <- raster::raster(matrix(c(NA,1,1,1,1,0,0,0,0), nrow = 3, ncol = 3, byrow = TRUE))
sp2 <- raster::raster(matrix(c(0,0,0,0,1,1,1,1,1), nrow = 3, ncol = 3, byrow = TRUE))
sp3 <- raster::raster(matrix(c(0,0,0,1,1,1,0,0,0), nrow = 3, ncol = 3, byrow = TRUE))
spp <- raster::stack(sp1, sp2, sp3)
tree <- hclust(dist(c(1:3), method="euclidean"), method="average")
raster.beta(spp)
raster.beta(spp, tree)
# }