marindicators (version 1.0.0)

landings: Calculates the Landings per fished group

Description

This function calculates the commercial landings of predefined species groups for \(j\) areas and \(i\) years.

Usage

landings(land, groups, species.table = NULL, years)

Arguments

land

A dataframe of commercial landings data with columns YEAR, ID, SPECIES and CATCH. YEAR indicates the year the landing was recorded, ID is an area code indicating where the landing was recorded, SPECIES is a numeric code indicating the species landed, and CATCH is the corresponding landed weight.

groups

A vector indicating the species group(s) for which to calculate the indicator. If groups = "ALL", all species will be included; otherwise, each entry must be a character string matching the name of a column in species.table.

species.table

A table with at least one column, where the column names match the entries in groups, and the column entries are species codes from land indicating which species are included that group. species.table may also include columns for other species groups; these will be ignored. If group = "ALL", this table is not required. Default is species.table = NULL.

years

A vector of years for which to calculate indicator.

Value

Returns a dataframe with columns ID and YEAR, and a column landings_group for each entry in groups.

If there is no data for a given year, the indicator value is set to 0.

Details

Calculates the Landings of predefined species groups.

References

Bundy A, Gomez C, Cook AM. 2017. Guidance framework for the selection and evaluation of ecological indicators. Can. Tech. Rep. Fish. Aquat. Sci. 3232: xii + 212 p.

See Also

Other fishing pressure indicators: allPressure, fishingPressure, meanTLLandings, speciesRichness

Examples

# NOT RUN {
# Compile data
data(land)
data(species.table)

# Species of interest
landings.groups <- c("ALL", "CLUPEIDS.L", "FLATFISH.L", "GROUNDFISH.L")

# Calculate indicators
landings(land, groups = landings.groups, species.table = species.table, 
   years = c(2014:2019))
# }