Diagnostic report for Operating Model

Objective Function Values

Overall

The total and component overall likelihood values.
TOTAL 3151.3300000
Catch 0.0000000
Equil_catch 0.0000000
Survey -458.7690000
Length_comp 2393.5100000
Age_comp 1249.6900000
Recruitment -33.4708000
InitEQ_Regime 0.0000000
Forecast_Recruitment 0.0000000
Parm_priors 0.0514976
Parm_softbounds 0.0084174
Parm_devs 0.0000000
F_Ballpark 0.3112560
F_Ballpark(info_only)_1995_estF_tgtF 0.0908598
Crash_Pen 0.0000000

By fleet

The total and component likelihood values for each fleet.
Fleet Catch_like Init_equ_like Surv_like Length_like Age_like
ALL 0 0 -458.7690 2393.5100 1249.690
1_PS_ESFR_6585 0 0 0.0000 133.4400 281.341
2_PS_ESFR_8690 0 0 0.0000 54.3688 0.000
3_PS_ESFR_FS_9122 0 0 239.6900 130.3980 114.908
4_PS_ESFR_FOB_9122 0 0 -40.4869 166.8590 0.000
5_BB_PS_Ghana_6522 0 0 0.0000 372.4660 0.000
6_BB_area2_Sdak 0 0 0.0000 161.8300 0.000
7_BB_DAKAR_6280 0 0 0.0000 193.4560 0.000
8_BB_DAKAR_8122 0 0 0.0000 442.8080 0.000
9_North_BB_Azores 0 0 0.0000 0.0000 0.000
10_Japan_LL_N 0 0 -29.8332 185.1170 0.000
11_Japan_LL_TRO 0 0 -65.7972 416.0020 0.000
12_Japan_LL_S 0 0 -10.7057 80.3841 0.000
13_Other_LL_N 0 0 0.0000 674.4870 122.722
14_Other_LL_TRO 0 0 0.0000 534.5680 0.000
15_Other_LL_S 0 0 0.0000 220.9210 0.000
16_HL_Braz_N 0 0 0.0000 0.0000 0.000
17_US_RR 0 0 0.0000 243.4120 1126.960
18_PS_WEST 0 0 0.0000 361.0760 0.000
19_OTH_OTH 0 0 0.0000 415.4350 0.000

Model Fits

Catch

Fits (blue line) to the catch data (black dots) for all the fleets.

CPUE

Fits to the CPUE data. Each row corresponds with an index. The left-hand panels show the observed (dots) and model predicted (blue line) index in log-scale. The right-hand panels show the log deviations (the observation model is log-normal).

Length Compositions

Model predicted length composition (green line) and observed length composition (grey area) aggregated over all years for each fleet.

Model predicted length composition (green line) and observed length composition (grey area) aggregated over all years for each fleet.

Length composition Pearson residuals showing residuals over time for each fleet. Closed bubbles are positive residuals (observed proportion is higher than expected) and open bubbles are negative residuals. The area of the bubble is proportional to the residual error.

Length composition Pearson residuals showing residuals over time for each fleet. Closed bubbles are positive residuals (observed proportion is higher than expected) and open bubbles are negative residuals. The area of the bubble is proportional to the residual error.

Length composition Pearson residuals showing residuals over time for each fleet. Closed bubbles are positive residuals (observed proportion is higher than expected) and open bubbles are negative residuals. The area of the bubble is proportional to the residual error.

Length composition Pearson residuals showing residuals over time for each fleet. Closed bubbles are positive residuals (observed proportion is higher than expected) and open bubbles are negative residuals. The area of the bubble is proportional to the residual error.

Conditional Age-At-Length

CAAL Pearson residuals showing residuals over time by fleet. Closed bubbles are positive residuals (observed proportion is higher than expected) and open bubbles are negative residuals. The area of the bubble is proportional to the residual error.

CAAL Pearson residuals showing residuals over time by fleet. Closed bubbles are positive residuals (observed proportion is higher than expected) and open bubbles are negative residuals. The area of the bubble is proportional to the residual error.

CAAL Pearson residuals showing residuals over time by fleet. Closed bubbles are positive residuals (observed proportion is higher than expected) and open bubbles are negative residuals. The area of the bubble is proportional to the residual error.

CAAL Pearson residuals showing residuals over time by fleet. Closed bubbles are positive residuals (observed proportion is higher than expected) and open bubbles are negative residuals. The area of the bubble is proportional to the residual error.

CAAL Pearson residuals showing residuals over time by fleet. Closed bubbles are positive residuals (observed proportion is higher than expected) and open bubbles are negative residuals. The area of the bubble is proportional to the residual error.

CAAL Pearson residuals showing residuals over time by fleet. Closed bubbles are positive residuals (observed proportion is higher than expected) and open bubbles are negative residuals. The area of the bubble is proportional to the residual error.

CAAL Pearson residuals showing residuals over time by fleet. Closed bubbles are positive residuals (observed proportion is higher than expected) and open bubbles are negative residuals. The area of the bubble is proportional to the residual error.

CAAL Pearson residuals showing residuals over time by fleet. Closed bubbles are positive residuals (observed proportion is higher than expected) and open bubbles are negative residuals. The area of the bubble is proportional to the residual error.

Stock-Recruitment

Time series of spawning biomass and recruitment estimated by the model (upper figures). The lower figures show the stock-recruitment relationship (Beverton-Holt) and the estimated log recruitment deviates.

Selectivity

The estimated selectivity-at-length for all the fleets in the terminal year of the assessment model. The x-axis represents the fish length (cm) and the y-axis is the selectivity value.

Stock Status

Reference Points

The biological reference points.
\(SSB_{MSY}\) \(F_{MSY}\) \(MSY\) \(SSB_{2022}/SSB_{MSY}\) \(F_{2022}/F_{MSY}\)
582679.00 0.15 130741.00 1.48 0.74

Kobe Plot

Kobe Plot