r4ss (version 1.36.1)

SS_ForeCatch: Create table of fixed forecast catches

Description

Processing values of dead or retained biomass from timeseries output to fit the format required at the bottom of the forecast file. This can be used to map the catches resulting from forecasting with a particular harvest control rule into a model representing a different state of nature. This is a common task for US west coast groundfish but might be useful elsewhere.

Usage

SS_ForeCatch(replist, yrs = 2019:2030, average = FALSE,
  avg.yrs = 2014:2018, total = NULL, digits = 2, dead = TRUE,
  zeros = FALSE)

Arguments

replist

List created by SS_output

yrs

Range of years in which to fill in forecast catches from timeseries

average

Use average catch over a range of years for forecast (as opposed to using forecast based on control rule)

avg.yrs

Range of years to average over

total

Either single value or vector of annual total forecast catch used to scale values (especially if values are from average catches). For west coast groundfish, total might be ACL for next 2 forecast years

digits

Number of digits to round to in table

dead

TRUE/FALSE switch to choose dead catch instead of retained catch.

zeros

Include entries with zero catch (TRUE/FALSE)

See Also

SS_readforecast, SS_readforecast

Examples

# NOT RUN {
  
# }
# NOT RUN {
    # create table based on average over past 5 years
    SS_ForeCatch(base,                # object created by SS_output
                 yrs = 2019:2020,     # years with fixed catch
                 average = TRUE,      # catch by fleet from average catch
                 avg.yrs = 2014:2018) # use average of catches over past 5 years

    # create table with pre-defined totals where the first 2 years
    # are based on current harvest specifications and the next 10 are set to some
    # new value (with ratio among fleets based on average over past 5 years)
    SS_ForeCatch(base,                # object created by SS_output
                 yrs = 2019:2020,     # years with fixed catch
                 average = TRUE,      # catch by fleet from average catch
                 avg.yrs = 2014:2018, # use average of catches over past 5 years
                 total = c(rep(241.3, 2), rep(300, 10))) # total 

    # create table based on harvest control rule projection in SS
    # that can be mapped into an alternative state of nature
    SS_ForeCatch(low_state,          # object created by SS_output for low state
                 yrs=2019:2030,      # forecast period after fixed ACL years
                 average=FALSE)      # use values forecast in SS, not historic catch

  
# }
# NOT RUN {
# }