Description Usage Arguments Value References Examples
This function uses a data.frame resulting from the function FCSc_mean and computes a conservation indicator across taxa.
1 | indicator(FCSc_mean_df)
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FCSc_mean_df |
A data frame object result of the function FCSc_mean |
This function returns a data frame object with the following columns:
opt | Final conservation score option |
count_HP | Count of taxa high priority for conservation action |
count_MP | Count of taxa medium priority for conservation action |
count_LP | Count of taxa low priority for conservation action |
count_SC | Count of taxa sufficiently conserved |
count_LP_SC | Count of taxa low priority for conservation action or sufficiently conserved |
proportion_HP | Proportion of taxa high priority for conservation action |
proportion_MP | Proportion of taxa medium priority for conservation action |
proportion_LP | Proportion of taxa low priority for conservation action |
proportion_SC | Proportion of taxa sufficiently conserved |
proportion_LP_SC | Proportion of taxa low priority for conservation action or sufficiently conserved (indicator) |
Khoury et al. (2019) Ecological Indicators 98:420-429. doi: 10.1016/j.ecolind.2018.11.016
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | ##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)
##Obtaining ecoregions shapefile
data(ecoregions)
#Running all three ex situ gap analysis steps using FCSex function
FCSex_df <- FCSex(Species_list=Cucurbita_splist,
Occurrence_data=CucurbitaData,
Raster_list=CucurbitaRasters,
Buffer_distance=50000,
Ecoregions_shp=ecoregions)
#Running all three in situ gap analysis steps using FCSin function
FCSin_df <- FCSin(Species_list=Cucurbita_splist,
Occurrence_data=CucurbitaData,
Raster_list=CucurbitaRasters,
Ecoregions_shp=ecoregions,
Pro_areas=ProtectedAreas)
## Combine gap analysis metrics
FCSc_mean_df <- FCSc_mean(FCSex_df = FCSex_df,FCSin_df = FCSin_df)
#Running indicator function
indicator_df <- indicator(FCSc_mean_df)
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