Network-scale cumulative effects assessments for a single focal species

Assessment of cumulative effects and related metrics using the Beauchesne et al. 2021 method.

Usage

ncea_species(
  focus,
  drivers,
  vc,
  sensitivity,
  metaweb,
  trophic_sensitivity,
  w_d = 0.5,
  w_i = 0.25,
  output = "output/ncea",
  output_format = "geotiff"
)

Arguments

focus: named argument, string with name of valued component on which to perform the assessment.
drivers: distribution and intensity of environmental drivers as stars object
vc: distribution of valued components as stars object
sensitivity: matrix of environmental drivers and valued component, with same name as those used in drivers and vc
metaweb: matrix of valued component by valued component describing the binary interations structuring the network of valued components
trophic_sensitivity: data.frame of trophic sensitivities, default from Beauchesne. Available as data package with data(trophic_sensitivity)
w_d, w_i: weight for the direct (w_d) and indirect (w_i) modules when calculating network-scale cea scores; w_d + 2*w_i should be equal to 1.
output: relative path to export results of assessment.
output_format: output format, one of geotiff or COG.

Examples

# Data
drivers <- rcea:::drivers
vc <- rcea:::vc
sensitivity <- rcea:::sensitivity
metaweb <- rcea:::metaweb
trophic_sensitivity <- rcea::trophic_sensitivity

if (FALSE) {
# Network-scale effects for individual species
ncea_species(focus = "vc1", drivers, vc, sensitivity, metaweb, trophic_sensitivity)
ncea_species(focus = "vc1", drivers, vc, sensitivity, metaweb, trophic_sensitivity, output_format = "COG")
}