Description Slots Objects from the Class Author(s)

A Management Strategy Evaluation object that contains information about simulation conditions and performance of data-limited methods

`Name`

Name of the MSE object. Single value. Character string

`nyears`

The number of years for the historical simulation. Single value. Positive integer

`proyears`

The number of years for the projections - closed loop simulations. Single value. Positive integer

`nMPs`

Number of management procedures simulation tested. Single value. Positive integer.

`MPs`

The names of the MPs that were tested. Vector of length nMPs. Character strings.

`nsim`

Number of simulations. Single value. Positive integer

`OM`

A table of sampled parameter of the operating model. Table object of nsim rows. Real numbers

A: abundance (biomass) updated in each management update of projection

AC: autocorrelation in recruitment

ageM: age at 50 per cent maturity

Asp: abundance (spawning biomass) updated in each management update of projection

Blow: SSB where it takes MGThorizon x MGT to reach Bfrac of BMSY (spawning biomass)

BMSY: NA

BMSY_B0: ratio of BMSY to unfished total biomass in last historical year

CurrentYr: The last historical year

D: stock depletion (spawning biomass / unfished spawing biomass) in the final historical year (prior to projection)

dFfinal: gradient in fishing mortality rate over final five years of the historical simulation

DR: the fraction of caught fish that are discarded

Esd: inter-annual variability in fishing mortality rate

Fdisc: fraction of discarded fish that die

FinF: F in last historical year

FMSY: fishing mortality at MSY in last historical year

FMSY_M: ratio of FMSY to M in last historical year

Frac_area_1: fraction of the unfished biomass in stock 1

hs: steepness of the stock recruitment relationship (the fraction of unfished recruitment at a fifth of unfished stock levels)

K: maximum growth rate (von Bertalanffy K parameter)

Ksd: interannual variability in maximum growth rate (log normal CV)

L5: length at 5/% selectivity

L50: length at 50/% maturity

L50_95: increment between L50 and L95

L95: length at 95/% maturity

LenCV: CV of length-at-age

LFR: first length at full retention

LFS: first length at full selection

Linf: asymptotic length

Linfsd: interannual variability in maximum length (log normal CV)

LR5: first length at 5/% retention

M: instantaneous natural mortality rate

maxF: NA

maxlen: NA

Mexp: exponent of Lorezen M-weight relationship

MGT: mean generation time

Msd: interannual variability in natural mortality rate (lognormal CV)

MSY: maximum sustainable yield in last historical year

OFLreal: A * FMSY the true simulated Over Fishing Limit in last historical year

Prob_staying: probability of inviduals in area 1 remaining in area 1 over the course of one year

procmu: NA

procsd: process error - CV in log-normal recruitment deviations

qcv: interannual variability in future fishing efficiency (catchability) in projected years (input controls only)

qinc: mean percentage increase in fishing efficiency (catchability) in projected years (input controls only)

R0: NA

RefY: reference yield, the highest long-term yield (mean over last five years of projection) obtained from a fixed F strategy. This is a useful reference point for framing performance of MPs because it standardizes for starting point and future productivity.

Rmaxlen: retention of fish at asymptotic length

Size_area_1: size of Area 1 relative to Area 2

SizeLimFrac: fraction of average implementation error of size regulations

SizeLimSD: log-normal coefficient of variation controlling mismatch between a minimum size limit and the real minimum size retained.

Spat_targ: distribution of fishing in relation to spatial biomass: fishing distribution is proportional to B^Spat_targ

SRrel: NA

SSB0: unfished spawning biomass

SSBMSY: NA

SSBMSY_SSB0: ratio of SSB_MSY/SSB0 in last historical year

t0: theoretical length at age zero (von Bertalanffy t0 parameter)

TACFrac: mean fraction of TAC taken

TACSD: log-normal coefficient of variation in the fraction of Total Allowable Catch (TAC) taken

TAEFrac: mean fraction of TAE taken

TAESD: log-normal coefficient of variation in the fraction of TAE

UMSY: MSY exploitation rate

Vmaxlen: selection of fish at asymptotic length

`Obs`

A table of sampled parameters of the observation model. Table of nsim rows. Real numbers

Abias: bias in observed current absolute stock biomass

Aerr: error in observed current absolute stock biomass

betas: hyper-stability/hyper-depletion parameter

BMSY_B0bias: bias in ratio of most productive stock size relative to unfished

Brefbias: bias in BMSY stock levels (target or reference biomass levels)

CAA_ESS: the effective sample size of multinomial catch-at-age observation model (number of independent draws)

CAA_nsamp: the number of catch-at-age observations per time step

CAL_ESS: the effective sample size of multinomial catch-at-length observation model (number of independent draws)

CAL_nsamp: the number of catch-at-length observations per time step

Cbias: bias in observed catches

Crefbias: bias in MSY prediction (target or reference catch)

Csd: observation error in observed catches (lognormal CV)

Dbias: bias in observed stock depletion (also applies to depletion Dt for DCAC)

Derr: error in observed stock depletion

FMSY_Mbias: bias in ratio of FMSY to natural mortality rate

hbias: bias in observed steepness of the stock recruitment relationship

Irefbias: bias in abundance index corresponding to BMSY stock levels

Isd: observation error in relative abundance index (lognormal CV)

Kbias: bias in maximum growth rate (von Bertalanffy K parameter)

lenMbias: bias in length at 50 per cent maturity

LFCbias: bias in length at first capture

LFSbias: bias in length at full selection

Linfbias: bias in maximum length (von Bertalanffy Linf parameter)

Mbias: bias in observed natural mortality rate

Recsd: error in observed recruitment

t0bias: bias in theoretical length at age zero (von Bertalanffy t0 parameter)

`B_BMSY`

Simulated spawning biomass relative to spawning BMSY over the projection. An array with dimensions: nsim, nMPs, proyears. Non-negative real numbers

`F_FMSY`

Simulated fishing mortality rate relative to FMSY over the projection. An array with dimensions: nsim, nMPs, proyears. Non-negative real numbers

`B`

Simulated stock biomass over the projection. An array with dimensions: nsim, nMPs, proyears. Non-negative real numbers

`SSB`

Simulated spawning stock biomass over the projection. An array with dimensions: nsim, nMPs, proyears. Non-negative real numbers

`VB`

Simulated vulnerable biomass over the projection. An array with dimensions: nsim, nMPs, proyears. Non-negative real numbers

`FM`

Simulated fishing mortality rate over the projection. An array with dimensions: nsim, nMPs, proyears. Non-negative real numbers

`C`

Simulated catches (taken) over the projection. An array with dimensions: nsim, nMPs, proyears. Non-negative real numbers

`TAC`

Simulated Total Allowable Catch (prescribed) over the projection (this is NA for input controls). An array with dimensions: nsim, nMPs, proyears. Non-negative real numbers

`SSB_hist`

Simulated historical spawning stock biomass. An array with dimensions: nsim, nages, nyears, nareas. Non-negative real numbers

`CB_hist`

Simulated historical catches in weight. An array with dimensions: nsim, nages, nyears, nareas. Non-negative real numbers

`FM_hist`

Simulated historical fishing mortality rate. An array with dimensions: nsim, nages, nyears, nareas. Non-negative real numbers

`Effort`

Simulated relative fishing effort in the projection years. An array with dimensions: nsim, nMPs, proyears. Non-negative real numbers

`PAA`

Population at age in last projection year. An array with dimensions: nsim, nMPs, nages. Non-negative real numbers

`CAA`

Catch at age in last projection year. An array with dimensions: nsim, nMPs, nages. Non-negative real numbers

`CAL`

Catch at length in last projection year. An array with dimensions: nsim, nMPs, nCALbins. Non-negative real numbers

`CALbins`

Mid-points of the catch-at-length bins. Vector of length nCALbins. Positive real numbers.

`Misc`

Miscellanenous output such as posterior predictive data

Objects can be created by calls of the form
```
new('MSE', Name, nyears, proyears, nMPs, MPs, nsim, OMtable, Obs,
B_BMSYa, F_FMSYa, Ba, FMa, Ca, OFLa, Effort, PAA, CAA, CAL, CALbins)
```

T. Carruthers

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