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Plant species cover, traits and environmental parameters recorded around livestock watering points in different habitats of central Namibian farmlands. See the Wesuls et al. (2012) paper for a full description of the data set.

Usage

data(piosphere)

Format

piosphere is a list of 4 components.

veg

is a data frame containing plant species cover

traits

is a data frame with plant traits

env

is a data frame with environmental variables

habitat

is a factor describing habitat/years for each site

Source

Wesuls, D., Oldeland, J. and Dray, S. (2012) Disentangling plant trait responses to livestock grazing from spatio-temporal variation: the partial RLQ approach. Journal of Vegetation Science, 23, 98–113.

Examples

data(piosphere)
names(piosphere)
#> [1] "veg"     "traits"  "env"     "habitat"
afcL <- dudi.coa(log(piosphere$veg + 1), scannf = FALSE)
acpR <- dudi.pca(piosphere$env, scannf = FALSE, row.w = afcL$lw)
acpQ <- dudi.hillsmith(piosphere$traits, scannf = FALSE, row.w = afcL$cw)
rlq1 <- rlq(acpR, afcL, acpQ, scannf = FALSE)
plot(rlq1)
#> Error in s.label(dfxy = rlq1$lR, xax = 1, yax = 2, plot = FALSE, storeData = TRUE,     pos = -3, psub = list(text = "R row scores"), plabels = list(        cex = 1.25)): non convenient selection for dfxy (can not be converted to dataframe)