The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

Compute functional dendogram from the ecological parameters.

Functional dendrograms measure functional diversity (Petchey & Gaston, 2007). The dendograms cluster species with similar traits in the same or closely linked clusters, a precursor to under the species interactions at the species-species level. In fwtraits, these interactions can be examined by providing the species’ ecological parameters or traits.

library(fwtraits)

Data collation

The data was obtained from the www.freshwaterecology.info database using the fw_fetchdata function.


data("speciesdata")

set.seed(1135)
speciesdata$abund <- rnorm(n = nrow(speciesdata), 4.3, 1.2)

#species with geographical coordinates

geospdata <- speciesdata |> 
  sf::st_as_sf(coords = c('decimalLongitude', 'decimalLatitude'), 
               crs = sf::st_crs(4326))

Data retrieval from the database


fishtraits <- fw_fetchdata(data = speciesdata, 
                         ecoparams = c('rheophily habitat', 'spawning habitat',
                                       'feeding diet adult'), 
                         taxonomic_column = 'scientificName',
                         organismgroup = 'fi')

Data visualistion and compute the functional dendogram.



fdendoclust <- fw_fdendro(fwdata = fishtraits, plot = TRUE)

head(fdendoclust, 3)

table(fdendoclust$cluster)

References

Petchey, O. L., & Gaston, K. J. (2007). Dendrograms and measuring functional diversity. Oikos, 116(8), 1422-1426.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.