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This dataset contains values for six functional traits of Western Europe mammals species. These values were extracted from the PanTHERIA database (Jones 2009), a database on World mammals traits available at: https://esapubs.org/archive/ecol/E090/184/metadata.htm. In respect to the IUCN license, species names have been anonymized.

Usage

species_traits

Format

A matrix with 149 rows (species) and the following seven columns:

species

species name corresponding to the columns of site_species

adult_body_mass

adult body mass (in grams)

gestation_length

length of time of non-inactive fetal growth (in days)

litter_size

number of offspring born per litter per female

max_longevity

maximum adult age (in months)

sexual_maturity_age

age when individuals are first physically capable of reproducing (in days)

diet_breadth

number of dietary categories eaten

Details

See https://github.com/frbcesab/eumammals for a complete description of the workflow used to create this dataset.

This dataset shows the format of the argument species_traits used in several functions of funbiogeo.

Note that species names (species) is the first column of this dataset.

References

Jones KE et al. (2009) PanTHERIA: A species-level database of life history, ecology, and geography of extant and recently extinct mammals. Ecology, 90, 2648. DOI: 10.1890/08-1494.1.

Examples

data("species_traits")
class(species_traits)
#> [1] "data.frame"
dim(species_traits)
#> [1] 149   7
head(species_traits)
#>   species adult_body_mass gestation_length litter_size max_longevity
#> 1  sp_001       461900.76           235.00        1.25         324.0
#> 2  sp_002           21.11            19.89        5.64          48.0
#> 3  sp_003              NA               NA          NA            NA
#> 4  sp_004              NA               NA          NA            NA
#> 5  sp_005           31.60            24.50        4.94          48.0
#> 6  sp_006           21.90            23.68        5.16          52.8
#>   sexual_maturity_age diet_breadth
#> 1              668.20            1
#> 2               76.04           NA
#> 3                  NA           NA
#> 4                  NA           NA
#> 5               43.27           NA
#> 6               57.93            4