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Oribatid mites

Source of data

Used as example dataset in Borcard et al. (2011); first used in Borcard et al. (1992).

Description of the dataset (from Borcard et al. 2011)

Oribatida (zdroj: wikipedia.org) Oribatid mites (Acari: Oribatida) are a very diversified group of small (0.2–1.2 mm) soil-dwelling, mostly microphytophagous and detritivorous arthropods. A well aerated soil or a complex substrate like Sphagnum mosses present in bogs and wet forests can harbour up to several hundred thousand (105) individuals per square metre. Local assemblages are sometimes composed of over a hundred species, including many rare ones. This diversity makes oribatid mites an interesting target group to study community–environment relationships at very local scales.

The example data set is composed of 70 cores of mostly Sphagnum mosses collected on the territory of the Station de biologie des Laurentides of Université de Montréal, Québec, Canada in June 1989. The data set comprises three files that contain the abundances of 35 morphospecies, 5 substrate and micritopographic variables, and the x-y Cartesian coordinates of the 70 cores.

Locality

Station de biologie des Laurentides, Université de Montréal, Quebec, Canada.

Environmental variables

CodeDescription of variable
SubsDensSubstrate density (dry matter) [g dm-3]
WatrContWater content [g dm-3]
SubstrateSubstrate [7 unordered classes]
ShrubShrubs [3 ordered classes]
TopoMicrotopography [Blanket - Hummock]

R script for direct import of data to R

mite <- read.delim ('http://www.sci.muni.cz/botany/zeleny/wiki/anadat-r/data-download/mite.txt')
mite.env <- read.delim ('http://www.sci.muni.cz/botany/zeleny/wiki/anadat-r/data-download/mite_env.txt')
mite.xy <- read.delim ('http://www.sci.muni.cz/botany/zeleny/wiki/anadat-r/data-download/mite_xy.txt')

or - data are in vegan package:

# install.packages ('vegan')  # install vegan if not installed yet on your computer
library (vegan)
data (mite)
data (mite.env)

References

  • Borcard, D., Legendre, P. & Drapeau, P. (1992) Partialling out the spatial component of ecological variation. Ecology 73: 1045-1055.
  • Borcard, D., Gillet, F. & Legendre, P. (2011) Numerical Ecology with R. Springer, UseR! Edition.
en/data/mite.1386228007.txt.gz · Last modified: 2017/10/11 20:36 (external edit)