Description Usage Arguments Value References Examples
This function creates a final combined conservation score by averaging the FCSex and FCSin It also assigns priority categories based on quantitative results
1 | FCSc_mean(FCSex_df, FCSin_df)
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FCSex_df |
A data frame or a list object result of the function FCSex |
FCSin_df |
A data frameor a list object result of the function FCSin |
This function returns a data frame object with the following columns:
species | Species name |
FCSex | Final conservation score ex situ |
FCSin | Final conservation score in situ |
FCS_min | Final conservation score (mininum value among FCSin and FCSex) |
FCS_max | Final conservation score (maximum value among FCSin and FCSex) |
FCSc_mean | Final conservation score combined (average value between FCSin and FCSex) |
FCS_min_class | Final conservation category using FCS_min value |
FCS_max_class | Final conservation category using FCS_max value |
FCSc_mean_class | Final conservation category using FCSc_mean value |
Khoury et al. (2019) Diversity and Distributions 26(2): 209-225. doi: 10.1111/DDI.13008
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 28 | ##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,
Gap_Map=FALSE)
#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,
Gap_Map=FALSE)
## Combine gap analysis metrics
FCSc_mean_df <- FCSc_mean(FCSex_df = FCSex_df,FCSin_df = FCSin_df)
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