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This dataset describe the distribution of 82 species of Alpine plants in 75 sites. Species traits and environmental variables are also measured.

Usage

data(aravo)

Format

aravo is a list containing the following objects :

spe

is a data.frame with the abundance values of 82 species (columns) in 75 sites (rows).

env

is a data.frame with the measurements of 6 environmental variables for the sites.

traits

is data.frame with the measurements of 8 traits for the species.

spe.names

is a vector with full species names.

Details

The environmental variables are:

AspectRelative south aspect (opposite of the sine of aspect with flat coded 0)Slope
Slope inclination (degrees)FormMicrotopographic landform index: 1 (convexity); 2 (convex slope); 3 (right slope); 4 (concave slope); 5 (concavity)
SnowMean snowmelt date (Julian day) averaged over 1997-1999PhysD
Physical disturbance, i.e., percentage of unvegetated soil due to physical processesZoogDZoogenic disturbance, i.e., quantity of unvegetated soil due to marmot activity: no; some; high

The species traits for the plants are:

HeightVegetative height (cm)
SpreadMaximum lateral spread of clonal plants (cm)
AngleLeaf elevation angle estimated at the middle of the lamina
AreaArea of a single leaf
ThickMaximum thickness of a leaf cross section (avoiding the midrib)
SLASpecific leaf area
NmassMass-based leaf nitrogen content
SeedSeed mass

Source

Choler, P. (2005) Consistent shifts in Alpine plant traits along a mesotopographical gradient. Arctic, Antarctic, and Alpine Research, 37,444--453.

Examples

data(aravo)
coa1 <- dudi.coa(aravo$spe, scannf = FALSE, nf = 2)
dudienv <- dudi.hillsmith(aravo$env, scannf = FALSE, nf = 2, row.w = coa1$lw)
duditrait <- dudi.pca(aravo$traits, scannf = FALSE, nf = 2, row.w = coa1$cw)
rlq1 <- rlq(dudienv, coa1, duditrait, scannf = FALSE, nf = 2)
plot(rlq1)