Compute Functional Richness (FRic)Source:
Functional Richness is computed as the volume of the convex hull from all included traits.
The matrix dataset for which you want to compute the index
Site-species matrix with sites as rows and species as columns if not provided, the function considers all species with equal abundance in a single site. This can be either a
data.frame, or a
a boolean indicating whether to standardize FRic values over the observed maximum over all species (default:
FALSE). This scales FRic between 0 and 1. NB: The maximum FRic values only considers species that are present in both site-species and trait matrices. If you want to consider species that are absent in the site-species matrix, add corresponding columns of 0s.
a data.frame with two columns:
sitethe names of the sites as the row names of the input
FRicthe values of functional richness at each site.
NB: FRic is equal to
NA when there are strictly less species in a site
than the number of provided traits.
By default, when loading fundiversity, the functions to
compute convex hulls are
memoised through the
package if it is installed. To deactivate this behavior you can set the
FALSE by running the following line:
options(fundiversity.memoise = FALSE). If you use it interactively it will
only affect your current session. Add it to your script(s) or
file to avoid toggling it each time.
The computation of this function can be parallelized thanks to
future::plan(). To get more information on how to parallelize your
computation please refer to the parallelization vignette with:
vignette("parallel", package = "fundiversity")
Cornwell W. K., Schwilk D. W., Ackerly D. D. (2006), A trait-based test for habitat filtering; convex hull volume, Ecology 84(6), doi: 10.1890/0012-9658(2006)87[1465:ATTFHF]2.0.CO;2
data(traits_birds) fd_fric(traits_birds) #> site FRic #> 1 s1 230967.7