Diagnostic report for Operating Model

Objective Function Values

Overall

The total and component overall likelihood values.
TOTAL 3178.0800000
Catch 0.0000000
Equil_catch 0.0000000
Survey -457.1360000
Length_comp 2407.1300000
Age_comp 1247.3600000
Recruitment -25.3014000
InitEQ_Regime 0.0000000
Forecast_Recruitment 0.0000000
Parm_priors 5.6185900
Parm_softbounds 0.0081899
Parm_devs 0.0000000
F_Ballpark 0.3968990
F_Ballpark(info_only)_1995_estF_tgtF 0.0820523
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 -457.13600 2407.1300 1247.360
1_PS_ESFR_6585 0 0 0.00000 132.0880 299.584
2_PS_ESFR_8690 0 0 0.00000 53.9175 0.000
3_PS_ESFR_FS_9122 0 0 240.35000 131.3300 120.388
4_PS_ESFR_FOB_9122 0 0 -39.80980 167.7030 0.000
5_BB_PS_Ghana_6522 0 0 0.00000 374.1530 0.000
6_BB_area2_Sdak 0 0 0.00000 163.1670 0.000
7_BB_DAKAR_6280 0 0 0.00000 193.3060 0.000
8_BB_DAKAR_8122 0 0 0.00000 442.9580 0.000
9_North_BB_Azores 0 0 0.00000 0.0000 0.000
10_Japan_LL_N 0 0 -26.46900 184.1740 0.000
11_Japan_LL_TRO 0 0 -65.76760 420.2720 0.000
12_Japan_LL_S 0 0 -6.22476 80.4049 0.000
13_Other_LL_N 0 0 0.00000 669.2410 127.021
14_Other_LL_TRO 0 0 0.00000 559.8180 0.000
15_Other_LL_S 0 0 0.00000 220.6000 0.000
16_HL_Braz_N 0 0 0.00000 0.0000 0.000
17_US_RR 0 0 0.00000 243.5270 1120.340
18_PS_WEST 0 0 0.00000 360.6120 0.000
19_OTH_OTH 0 0 0.00000 416.9960 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.
\(SSB_{MSY}\) \(F_{MSY}\) \(MSY\) \(SSB_{2022}/SSB_{MSY}\) \(F_{2022}/F_{MSY}\)
949021.000 0.089 111134.000 0.980 1.253

Kobe Plot

Kobe Plot