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Returns the computed yearly production

Usage

production(object, ...)

# S4 method for 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 object 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 object of class "FLQuant"
#> , , unit = unique, season = all, area = unique
#> 
#>      year
#> age   1957     1958     1959     1960     1961     1962     1963     1964    
#>   all  97057.5 124335.9 134193.7 131624.1 195830.9  84314.2 156283.4 106620.6
#>      year
#> age   1965     1966     1967     1968     1969     1970     1971     1972    
#>   all 184772.0 168397.4 135624.4 103680.5 116318.4 135301.9 137680.9  98870.1
#>      year
#> age   1973     1974     1975     1976     1977     1978     1979     1980    
#>   all 177708.0 199229.7 182733.9 171714.1 160913.2 160718.4 182691.4 144393.8
#>      year
#> age   1981     1982     1983     1984     1985     1986     1987     1988    
#>   all 236823.4 256090.8 250806.2 257466.2 367166.4 307643.1 241038.8 255692.8
#>      year
#> age   1989     1990     1991     1992     1993     1994     1995     1996    
#>   all 216385.9 200280.0 151334.7 142125.9 122293.1 150908.2 118295.2 198090.3
#>      year
#> age   1997     1998     1999     2000     2001     2002     2003     2004    
#>   all 158178.3 143119.1 145741.4 159858.4 160431.2 150072.8 156416.2 123678.8
#>      year
#> age   2005     2006     2007     2008     2009     2010     2011     2012    
#>   all 164460.6 123874.2 198506.5 214558.2 221034.4 134974.6 172571.2 232425.2
#>      year
#> age   2013     2014     2015     2016     2017    
#>   all 263438.5   3241.5 198078.0 219445.0       NA
#> 
#> units:  t