The observation of stock abundance by CPUE series from commercial fleets is an important step in the generation of management advice that needs to replicated on an Operating Model during any simulation exercise. This method gemnerates an observation of biomass or numbers-at-age from an FLstock being used as OM.
Arguments
- object
The object from which to generate the observation.
- effort
Units of index to use to mimic effort series in the fishery, "f" or "hr"
- sel
The selectivity of the survey, defaults to be 1 for all ages.
- mass
Is the index to be in weight at age?
Examples
data(ple4)
cpue(ple4)
#> An object of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#>
#> year
#> age 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966
#> all 78051 83671 94547 105473 107196 114773 131736 135215 136997 160535
#> year
#> age 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976
#> all 149615 142493 138212 127121 132826 141951 140378 140683 152634 170196
#> year
#> age 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986
#> all 158271 167408 160092 175025 179501 184034 198791 215973 229085 242239
#> year
#> age 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996
#> all 274837 303250 276689 238235 205251 181311 173349 146356 122400 120744
#> year
#> age 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006
#> all 141943 153857 164072 142703 118790 134722 148192 143316 110487 114377
#> year
#> age 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
#> all 106431 118495 120210 121111 115815 128030 135992 133361 129688 121409
#> year
#> age 2017
#> all 108121
#>
#> units: t
# Am aggregated biomass CPUE
quantSums(cpue(ple4))
#> An object of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#>
#> year
#> age 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966
#> all 78051 83671 94547 105473 107196 114773 131736 135215 136997 160535
#> year
#> age 1967 1968 1969 1970 1971 1972 1973 1974 1975 1976
#> all 149615 142493 138212 127121 132826 141951 140378 140683 152634 170196
#> year
#> age 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986
#> all 158271 167408 160092 175025 179501 184034 198791 215973 229085 242239
#> year
#> age 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996
#> all 274837 303250 276689 238235 205251 181311 173349 146356 122400 120744
#> year
#> age 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006
#> all 141943 153857 164072 142703 118790 134722 148192 143316 110487 114377
#> year
#> age 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
#> all 106431 118495 120210 121111 115815 128030 135992 133361 129688 121409
#> year
#> age 2017
#> all 108121
#>
#> units: t
if (FALSE) {
plot(FLQuants(om=stock(ple4), cpue=quantSums(cpue(ple4)),
hr=quantSums(cpue(ple4, effort="hr"))))
}