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DOPA provides an array of information on species and protected area (PA)
occurrence within the borders (or in some cases the Exclusive Economic Zone
boundary) of a given country. country_list()
can be used to list all the
countries available in the DOPA database:
library(rdopa) # We'll also be using package dplyr for data manipulation library(dplyr) cl <- country_list() head(cl)
There are also few convience function to retrieve species information on
conuntry-level. To list species included in a particular
IUCN status category
within a given country, use function country_species_list()
. For example, if
you're interested in all (globally) threatened species (i.e. those in IUCN
categories CR, EN, or VU) that occur in Finland, do the following:
threatened.fin <- country_species_list('Finland', status=c("CR", "EN", "VU")) # Select only part of the columns (using dplyr) select(threatened.fin, iucn_species_id, taxon, class, status, commonname)
Function country_species_count()
returns the total number of species within
a given country that belong to a specific status categories. For example, to
get the number of threatened species in Brazil:
country_species_count('Brazil', rlstatus=c("CR", "EN", "VU"))
This - and breakdown into individual categories - can of course be achieved by working with the complete country-specific species list:
threatened.bra <- country_species_list('Brazil', status=c("CR", "EN", "VU")) # Total number nrow(threatened.bra) # Per category (using dplyr) threatened.bra %>% group_by(status) %>% summarise(count = n())
Protected area (PA) statistics are available per country according to IUCN PA categories:
country_stats("Sweden")
Within a given country, statistics for individual PAs can be retrieved using
pa_country_stats()
. Let's find out all the PAs within Uganda:
uganda_pa_stats <- pa_country_stats("Uganda") nrow(uganda_pa_stats)
So Uganda has 28 individual PAs in the WDPA.
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