mvabund (version 4.2.1)

spider: Spider data

Description

data from spider2 directory, CANOCO FORTRAN package, with trait variables added.

Usage

data(spider)

Format

A list containing the elements

abund

A data frame with 28 observations of abundance of 12 hunting spider species

x

A matrix of six (transformed) environmental variables at each of the 28 sites.

The data frame abund has the following variables

Alopacce

(numeric) Abundance of the species Alopecosa accentuata

Alopcune

(numeric) Abundance of the species Alopecosa cuneata

Alopfabr

(numeric) Abundance of the species Alopecosa fabrilis

Arctlute

(numeric) Abundance of the species Arctosa lutetiana

Arctperi

(numeric) Abundance of the species Arctosa perita

Auloalbi

(numeric) Abundance of the species Aulonia albimana

Pardlugu

(numeric) Abundance of the species Pardosa lugubris

Pardmont

(numeric) Abundance of the species Pardosa monticola

Pardnigr

(numeric) Abundance of the species Pardosa nigriceps

Pardpull

(numeric) Abundance of the species Pardosa pullata

Trocterr

(numeric) Abundance of the species Trochosa terricola

Zoraspin

(numeric) Abundance of the species Zora spinimana

The matrix x has the following variables

soil.dry

(numeric) Soil dry mass

bare.sand

(numeric) Cover bare sand

fallen.leaves

(numeric) Cover fallen leaves / twigs

moss

(numeric) Cover moss

herb.layer

(numeric) Cover herb layer

reflection

(numeric) Reflection of the soil surface with a cloudless sky

These variables have already been log(x+1)-transformed.

The data frame trait was constructed by Googling each species and recording variables from species descriptions and images of specimens:

length

(numeric) Length (log-transformed), averaged across typical lengths (in centimetres) for male and females

colour

(factor) Predominant colour, "yellow" or "dark"

marks

(factor) Whether the spider typically has markings on it: "none", "spots" or "stripes"

Details

The abundance of each species was measured as a count of the number of organisms in the sample.

References

ter Braak, C. J. F. and Smilauer, P. (1998) CANOCO reference manual and user's guide to CANOCO for Windows: software for canonical community ordination (version 4). Microcomputer Power, New York, New York, USA.

van der Aart, P. J. M., and Smeenk-Enserink, N. (1975) Correlations between distributions of hunting spiders (Lycos- idae, Ctenidae) and environmental characteristics in a dune area. Netherlands Journal of Zoology 25, 1-45.

Examples

# NOT RUN {
require(graphics)

data(spider)
spiddat <- as.mvabund(spider$abund)

plot(spiddat)
# }