Species richness counts the number of potential species intersecting with a polygon grouped by the IUCN threat categorization. Note, that this indicator function requires the manual download of the respective raster files.
Value
A function that returns an indicator tibble with IUCN layers with specified statistics as variable and respective species richness (count) as value.
Details
The specific meaning of the species richness indicator depends on the supplied raster file.
The required resources for this indicator are:
Examples
# \dontrun{
library(sf)
library(mapme.biodiversity)
outdir <- file.path(tempdir(), "mapme-data")
dir.create(outdir, showWarnings = FALSE)
mapme_options(
outdir = outdir,
verbose = FALSE
)
iucn_dir <- system.file("res", "iucn", package = "mapme.biodiversity")
sr_rasters <- list.files(iucn_dir, pattern = "*_SR_*", full.names = TRUE)
aoi <- system.file("extdata", "sierra_de_neiba_478140_2.gpkg",
package = "mapme.biodiversity"
) %>%
read_sf() %>%
get_resources(get_iucn(sr_rasters)) %>%
calc_indicators(calc_species_richness(stats = "median")) %>%
portfolio_long()
aoi
#> Simple feature collection with 2 features and 8 fields
#> Geometry type: POLYGON
#> Dimension: XY
#> Bounding box: xmin: -71.80933 ymin: 18.57668 xmax: -71.33201 ymax: 18.69931
#> Geodetic CRS: WGS 84
#> # A tibble: 2 × 9
#> WDPAID ISO3 assetid indicator datetime variable unit value
#> <dbl> <chr> <int> <chr> <dttm> <chr> <chr> <dbl>
#> 1 478140 DOM 1 species_richness 2023-01-01 00:00:00 amphibi… count 15
#> 2 478140 DOM 1 species_richness 2023-01-01 00:00:00 birds_t… count 27
#> # ℹ 1 more variable: geom <POLYGON [°]>
# }