In EffetsCumulatifsNavigation/ceanav: Research compendium for project on the assessment cumulative effects of marine vessel activities in the St. Lawrence

Plant and wildlife habitats {#habitat}

meta <- read_yaml("../data/data-metadata/int_cv_habitat.yml")

A data search was conducted to characterize various types of habitats characteristic of the St. Lawrence and Saguenay rivers that could be affected by marine vessel activities. The habitats considered are those for which data have been open and accessible from the federal and provincial platforms Open Government, Données Québec and the St. Lawrence Global Observatory, or data shared by various departments/ministries and partners. This data search enabled us to characterize r length(meta$dataDescription$categories$accronyme) habitat types within the study area (Table \@ref(tab:habitatCat)). The habitats were characterized as presence-absence in the study grid. The following sections provide more information on the characterization of the various habitat types.

tab <- as.data.frame(meta$dataDescription$categories)
tab <- arrange(tab, type, source, francais)
tab$superficie <- round(tab$superficie, 2)

# Remove duplicated names, except for milieu humide subcategory
uid <- tab$francais == "Milieu humide"
tab$francais <- ifelse(tab$francais == tab$type, "", tab$francais)
tab$francais[uid] <- "Milieu humide"

tab <- select(tab, type_en, english, description_en, superficie, source)

tab %>%
  knitr::kable(
    col.names = c("Categories", "Subcategories", "Description", "Area $km^2$", "Source$^*$"),
    row.names = FALSE,
    caption = "Categories of habitats considered for the analysis of the cumulative effects of navigation in the St. Lawrence and the Saguenay river and their total area in the study area. $^*$See [Appendix 1](#annexe1) for more details on data sources."
  )

EffetsCumulatifsNavigation/ceanav documentation built on April 17, 2023, 1:02 p.m.