Ecological Tables Triplet

This data set is a list of information about 51 sites : bird species and environmental variables.
A data frame contains biological traits for each species.

Usage

data(aviurba)

Format

This list contains the following objects:

fau

is a data frame 51 sites 40 bird species.

mil

is a data frame 51 sites 11 environmental variables (see details).

traits

is a data frame 40 species 4 biological traits (see details).

species.names.fr

is a vector of the species names in french.

species.names.la

is a vector of the species names in latin.

species.family

is a factor : the species families.

Details

aviurba$mil contains for each site, 11 habitat attributes describing the degree of urbanization. The presence or absence of farms or villages, small buildings, high buildings, industry, fields, grassland, scrubby areas, deciduous woods, coniferous woods, noisy area are noticed. At least, the vegetation cover (variable 11) is a factor with 8 levels from a minimum cover (R5) up to a maximum (R100).

aviurba$traits contains four factors : feeding habit (insectivor, granivore, omnivore), feeding stratum (ground, aerial, foliage and scrub), breeding stratum (ground, building, scrub, foliage) and migration strategy (resident, migrant).

Source

Dolédec, S., Chessel, D., Ter Braak,C. J. F. and Champely S. (1996) Matching species traits to environmental variables: a new three-table ordination method. Environmental and Ecological Statistics, 3, 143–166.

Examples

data(aviurba)
a1 <- dudi.coa(aviurba$fau, scan = FALSE, nf=4)
a2 <- dudi.acm(aviurba$mil, row.w = a1$lw, scan = FALSE, nf = 4)
plot(coinertia(a1, a2, scan = FALSE))
#> Error in s.corcircle(dfxy = coinertia(a1, a2, scan = FALSE)$aX, xax = 1,     yax = 2, plot = FALSE, storeData = TRUE, pos = -3, psub = list(        text = "Unconstrained axes (X)"), pbackground = list(        box = FALSE), plabels = list(cex = 1.25)): non convenient selection for dfxy (can not be converted to dataframe)