R/PRE_FATE.speciesDistanceOverlap.R
PRE_FATE.speciesDistanceOverlap.RdThis script is designed to create a distance matrix between species, based on co-occurrence of species.
PRE_FATE.speciesDistanceOverlap(mat.overlap.option, mat.overlap.object)a string corresponding to the way to
calculate the distance between species based on niche overlap (either
PCA or raster, see
Details)
two options, depending on the value of
mat.overlap.option :
(PCA option) a list with 2 elements :
tab.dom.PAa matrix or data.frame with
sites in rows and species in columns, containing either NA,
0 or 1 (see PRE_FATE.selectDominant)
tab.enva matrix or data.frame with
sites in rows and environmental variables in columns
(raster option) a data.frame with 2 columns :
speciesthe ID of each studied species
rasterpath to raster file with species distribution
A matrix containing overlap distances between each pair
of species, calculated as 1 - Schoeners D.
This function allows to obtain a distance matrix between species (1 - Schoeners D), based on niche overlap information :
If PCA option is selected, the degree of niche overlap will
be computed using the ecospat.niche.overlap.
If raster option is selected, the degree of niche overlap will
be computed using the niche.overlap.
ecospat.niche.overlap,
niche.overlap
## Load example data
Champsaur_PFG = .loadData('Champsaur_PFG', 'RData')
## Prepare sites x species table
## Add absences in community sites
sites = Champsaur_PFG$sp.observations
tab.dom.PA = Champsaur_PFG$tab.dom.PA
for (si in sites$sites[which(sites$TYPE == "COMMUNITY")])
{
ind = which(rownames(tab.dom.PA) == si)
tab.dom.PA[ind, which(is.na(tab.dom.PA[ind, ]))] = 0
}
## Prepare environmental table
tab.env = Champsaur_PFG$tab.env
## Calculate niche overlap distances -----------------------------------------
list.over = list(tab.dom.PA[, 1:10], tab.env)
DIST.overlap = PRE_FATE.speciesDistanceOverlap(mat.overlap.option = "PCA"
, mat.overlap.object = list.over)
(DIST.overlap[1:5, 1:5])