GRSin: Geographical representativeness score in situ

In GapAnalysis: Conservation Indicators using Spatial Information

Description

The GRSin process provides a geographic measurement of the proportion of a species’ range that can be considered to be conserved in protected areas. The GRSin compares the area of the distribution model located within protected areas versus the total area of the model, considering comprehensive conservation to have been accomplished only when the entire distribution occurs within protected areas.

Usage

GRSin(
  Species_list,
  Occurrence_data,
  Raster_list,
  Pro_areas = NULL,
  Gap_Map = FALSE
)

Arguments

Species_list	A vector of characters with the species names to calculate the GRSex metrics.
Occurrence_data	A data frame object with the species name, geographical coordinates, and type of records (G or H) for a given species
Raster_list	A list of rasters representing the species distribution models for the species list provided in Species_list. The order of rasters in this list must match the same order as Species_list.
Pro_areas	A raster file representing protected areas information. If Pro_areas=NULL the function will use a protected area raster file provided for your use after run GetDatasets()
Gap_Map	logical, if TRUE the function will calculate gap maps for each species analyzed and will return a list with two slots ERSin and gap_maps

Value

This function returns a data frame with two columns:

species	Species name
GRSin	GRSin value calculated

References

Khoury et al. (2019) Ecological Indicators 98:420-429. doi: 10.1016/j.ecolind.2018.11.016

Examples

##Obtaining occurrences from example
data(CucurbitaData)
##Obtaining species names from the data
Cucurbita_splist <- unique(CucurbitaData$species)
##Obtaining Raster_list
data(CucurbitaRasters)
CucurbitaRasters <- raster::unstack(CucurbitaRasters)
##Obtaining protected areas raster
data(ProtectedAreas)
#Running GRSin
GRSin_df <- GRSin(Species_list = Cucurbita_splist,
                    Occurrence_data = CucurbitaData,
                    Raster_list = CucurbitaRasters,
                    Pro_areas=ProtectedAreas,
                    Gap_Map=FALSE)

GapAnalysis documentation built on June 14, 2021, 9:07 a.m.