Reclassify provincial land cover classes into resource types used for caribouHabitat. Resource types are groups of land cover classes expected to be relevant to boreal caribou (Hornseth and Rempel, 2016).

reclassPLC(plc, plcLU = plcToResType)

Source

Hornseth, M.L. and Rempel, R.S., 2016. Seasonal resource selection of woodland caribou (Rangifer tarandus caribou) across a gradient of anthropogenic disturbance. Canadian Journal of Zoology, 94(2), pp.79-93. https://doi.org/10.1139/cjz-2015-0101

Dyson, M., Endicott, S., Simpkins, C., Turner, J. W., Avery-Gomm, S., Johnson, C. A., Leblond, M., Neilson, E. W., Rempel, R., Wiebe, P. A., Baltzer, J. L., Stewart, F. E. C., & Hughes, J. (2022). Existing caribou habitat and demographic models need improvement for Ring of Fire impact assessment: A roadmap for improving the usefulness, transparency, and availability of models for conservation. https://doi.org/10.1101/2022.06.01.494350

Arguments

plc

raster. Provincial land cover

plcLU

Lookup table to convert land cover classes to resource types. Options are: plcToResType for Provincial Land Cover, fnlcToResType for the Ontario Far North Land Cover, or a custom lookup table. See Details.

Value

a SpatRaster with classes matching resTypeCode

Details

The default lookup table plcToResType is provided with the package and assumes Ontario 2001 Provincial Land Cover (PLC) classes. The fnlcToResType table for the Ontario Far North Land Cover (FNLC) is included with the package or you can supply a custom lookup table. The custom lookup table must have two columns with names "PLCCode" and "ResourceType" where "PLCCode" is the value in the land cover raster and "ResourceType" is the corresponding letter code for the resource type. The possible resource types are included in resTypeCode and descriptions of these codes can be found in table S1.3 of supplementary material for Dyson et. al (2022).

Examples

lc <- terra::rast(nrows = 10, ncols = 10, xmin = 0, xmax = 10, ymin = 0,
                  ymax = 10, crs = "EPSG:5070")
lc[] <- 13 # conifer
lc[1:3, 1:3] <- 1 # open water
lc[3:5, 3:5] <- 11 # deciduous
lc[8:10, 8:10] <- 19 # treed bog
lc[6:7, 6:7] <- 21 #treed fen

resTypes <- reclassPLC(lc)
plot(resTypes)