CC1 {DLMtool} | R Documentation |
The TAC is the average historical catch over the last yrsmth
(default 5) years,
multiplied by (1-xx
)
CC1(x, Data, reps = 100, plot = FALSE, yrsmth = 5, xx = 0) CC2(x, Data, reps = 100, plot = FALSE, yrsmth = 5, xx = 0.1) CC3(x, Data, reps = 100, plot = FALSE, yrsmth = 5, xx = 0.2) CC4(x, Data, reps = 100, plot = FALSE, yrsmth = 5, xx = 0.3) CC5(x, Data, reps = 100, plot = FALSE, yrsmth = 5, xx = 0.4) CurC(x, Data, reps = 100, plot = FALSE, yrsmth = 1, xx = 0)
x |
A position in the data object |
Data |
A data object |
reps |
The number of stochastic samples of the MP recommendation(s) |
plot |
Logical. Show the plot? |
yrsmth |
Years over which to calculate mean catches |
xx |
Parameter controlling the TAC. Mean catches are multiplied by
(1- |
The TAC is calculated as:
\textrm{TAC} = (1-x)C_{\textrm{ave}}
where x lies between 0 and 1, and C_{\textrm{ave}} is average historical
catch over the previous yrsmth
years.
The TAC is constant for all future projections.
An object of class Rec-class
with the TAC
slot populated with a numeric vector of length reps
CC1
: TAC is average historical catch from recent yrsmth
years
CC2
: TAC is average historical catch from recent yrsmth
years reduced by 10\
CC3
: TAC is average historical catch from recent yrsmth
years reduced by 20\
CC4
: TAC is average historical catch from recent yrsmth
years reduced by 30\
CC5
: TAC is average historical catch from recent yrsmth
years reduced by 40\
CurC
: TAC is fixed at last historical catch
See Data-class
for information on the Data
object
CC1
: Cat, LHYear, Year
See Online Documentation for correctly rendered equations
T. Carruthers
Geromont, H. F., and D. S. Butterworth. 2015. Generic Management Procedures for Data-Poor Fisheries: Forecasting with Few Data. ICES Journal of Marine Science: Journal Du Conseil 72 (1). 251-61.
Other Constant Catch MPs:
GB_CC()
CC1(1, MSEtool::Cobia, plot=TRUE) CC2(1, MSEtool::Cobia, plot=TRUE) CC3(1, MSEtool::Cobia, plot=TRUE) CC4(1, MSEtool::Cobia, plot=TRUE) CC5(1, MSEtool::Cobia, plot=TRUE) CurC(1, MSEtool::Cobia, plot=TRUE)