Returns the computed yearly production

Usage

production(object, ...)

# S4 method for class 'FLStock'
production(object, what = "ssb", ...)

Arguments

object: An object with biomass and catch data.
what: One of the production options: "ssb", "biomass", or "exploitation".

Value

The production by year, of class FLQuant.

Details

Production can be calculated for an FLStock based on the spawning stock biomass ("ssb"), total biomass ("biomass"), or exploitation ("exploitation").

Author

Laurie Kell (Sea++), Iago Mosqueira (WMR)

Examples

data(ple4)
# For SSB
production(ple4, "ssb")
#> An x of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#> 
#>      year
#> age   1957   1958   1959   1960   1961   1962   1963   1964   1965   1966  
#>   all  91512  95530 123119 129308 210400  84703 130632 100648 172340 231689
#>      year
#> age   1967   1968   1969   1970   1971   1972   1973   1974   1975   1976  
#>   all 139513  93708 113785 127757 145745  85625 147244 161657 192360 176272
#>      year
#> age   1977   1978   1979   1980   1981   1982   1983   1984   1985   1986  
#>   all 164270 152893 189471 156381 177925 247466 240644 255680 260378 342209
#>      year
#> age   1987   1988   1989   1990   1991   1992   1993   1994   1995   1996  
#>   all 262223 338779 240262 211093 172667 161222 133093 139970 113817 133277
#>      year
#> age   1997   1998   1999   2000   2001   2002   2003   2004   2005   2006  
#>   all 185109 152527 182415 149306 115799 170217 139195 160315 145261 120747
#>      year
#> age   2007   2008   2009   2010   2011   2012   2013   2014   2015   2016  
#>   all 183276 194586 216921 140039 161798 224281 254384  90631 199634 208053
#>      year
#> age   2017  
#>   all     NA
#> 
#> units:  t 
# For total biomass
production(ple4, "biomass")
#> An x of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#> 
#>      year
#> age   1957   1958   1959   1960   1961   1962   1963   1964   1965   1966  
#>   all  97058 124336 134194 131624 195831  84314 156283 106621 184772 168397
#>      year
#> age   1967   1968   1969   1970   1971   1972   1973   1974   1975   1976  
#>   all 135624 103681 116318 135302 137681  98870 177708 199230 182734 171714
#>      year
#> age   1977   1978   1979   1980   1981   1982   1983   1984   1985   1986  
#>   all 160913 160718 182691 144394 236823 256091 250806 257466 367166 307643
#>      year
#> age   1987   1988   1989   1990   1991   1992   1993   1994   1995   1996  
#>   all 241039 255693 216386 200280 151335 142126 122293 150908 118295 198090
#>      year
#> age   1997   1998   1999   2000   2001   2002   2003   2004   2005   2006  
#>   all 158178 143119 145741 159858 160431 150073 156416 123679 164461 123874
#>      year
#> age   2007   2008   2009   2010   2011   2012   2013   2014   2015   2016  
#>   all 198507 214558 221034 134975 172571 232425 263438   3241 198078 219445
#>      year
#> age   2017  
#>   all     NA
#> 
#> units:  t