Make an empty vulnerability factor table that can be filled in with the appropriate value for each vulnerability factor. The Code corresponds to the questions in the NatureServe Guidelines and Question is an abbreviated version of the question. See the NatureServe Guidelines for detailed instructions on how to score species. Values can be -1: Unknown, 0: Neutral, 1: Somewhat Increase, 2: Increase, 3: Greatly Increase.
make_vuln_df(
sp_nm,
val1 = -1,
val2 = NA,
val3 = NA,
val4 = NA,
cave = 0,
mig = 0,
use_spatial = TRUE
)Species name
A single number to fill the first column with. The default -1 for Unknown should be used in most cases.
Additional values. Use default NA
0 or 1 For whether the species is cave or ground water dependent. See Guidelines.
0 or 1 is the species migratory?
if TRUE then values for factors that are calculated in
analyze_spatial will be set to -1 for Unknown so that they do not
override the results of the spatial analysis
a data.frame that can be edited and used as input for vuln_df
in calc_vulnerability
make_vuln_df("sfa", cave = 1, mig = 0)
#> Species Code
#> 1 sfa Z2
#> 2 sfa Z3
#> 3 sfa B1
#> 4 sfa B2a
#> 5 sfa B2b
#> 6 sfa B3
#> 7 sfa C1
#> 8 sfa C2ai
#> 9 sfa C2aii
#> 10 sfa C2bi
#> 11 sfa C2bii
#> 12 sfa C2c
#> 13 sfa C2d
#> 14 sfa C3
#> 15 sfa C4a
#> 16 sfa C4b
#> 17 sfa C4c
#> 18 sfa C4d
#> 19 sfa C4e
#> 20 sfa C4f
#> 21 sfa C4g
#> 22 sfa C5a
#> 23 sfa C5b
#> 24 sfa C5c
#> 25 sfa C6
#> 26 sfa D1
#> 27 sfa D2
#> 28 sfa D3
#> 29 sfa D4
#> Question
#> 1 Is the species an obligate of caves or groundwater systems
#> 2 Is the species migratory
#> 3 Exposure to sea level rise
#> 4 Natural barriers
#> 5 Anthropogenic barriers
#> 6 Predicted impact of land use changes resulting from human responses to climate change
#> 7 Dispersal and movements
#> 8 Historical thermal niche
#> 9 Physiological thermal niche
#> 10 Historical hydrological niche
#> 11 Physiological hydrological niche
#> 12 Dependence on a specific disturbance regime likely to be impacted by climate change
#> 13 Dependence on ice, ice-edge, or snow-cover habitats
#> 14 Restriction to uncommon landscape/geological features or derivatives
#> 15 Dependence on other species to generate required habitat
#> 16 Dietary versatility (animals only)
#> 17 Pollinator versatility (plants only)
#> 18 Dependence on other species for propagule dispersal
#> 19 Sensitivity to pathogens or natural enemies
#> 20 Sensitivity to competition from native or non-native species
#> 21 Forms part of an interspecific interaction not covered by 5a-f
#> 22 Measured genetic variation
#> 23 Occurrence of bottlenecks in recent evolutionary history (use only if 5a is "unknown")
#> 24 Reproductive system (plants only; use only if c5a and c5b are unknown)
#> 25 Phenological response to changing seasonal temperature and precipitation dynamics
#> 26 Documented response to recent climate change
#> 27 Modeled future (2050) change in population or range size
#> 28 Overlap of modeled future (2050) range with current range
#> 29 Occurrence of protected areas in modeled future (2050) distribution
#> Max_Value is_spatial Value1 Value2 Value3 Value4
#> 1 <NA> <NA> 1 NA NA NA
#> 2 <NA> <NA> 0 NA NA NA
#> 3 3 0 -1 NA NA NA
#> 4 3 0 -1 NA NA NA
#> 5 3 0 -1 NA NA NA
#> 6 2 0 -1 NA NA NA
#> 7 3 0 -1 NA NA NA
#> 8 3 1 -1 NA NA NA
#> 9 3 1 -1 NA NA NA
#> 10 3 1 -1 NA NA NA
#> 11 3 0 -1 NA NA NA
#> 12 2 0 -1 NA NA NA
#> 13 3 0 -1 NA NA NA
#> 14 2 0 -1 NA NA NA
#> 15 2 0 -1 NA NA NA
#> 16 2 0 -1 NA NA NA
#> 17 2 0 -1 NA NA NA
#> 18 2 0 -1 NA NA NA
#> 19 2 0 -1 NA NA NA
#> 20 2 0 -1 NA NA NA
#> 21 2 0 -1 NA NA NA
#> 22 2 0 -1 NA NA NA
#> 23 2 0 -1 NA NA NA
#> 24 2 0 -1 NA NA NA
#> 25 2 0 -1 NA NA NA
#> 26 3 0 -1 NA NA NA
#> 27 3 1 -1 NA NA NA
#> 28 3 1 -1 NA NA NA
#> 29 2 0 -1 NA NA NA