Diagnostic report for Operating Model

Objective Function Values

Overall

The total and component overall likelihood values.
TOTAL 3154.4100000
Catch 0.0000000
Equil_catch 0.0000000
Survey -459.0010000
Length_comp 2389.3000000
Age_comp 1253.1300000
Recruitment -35.2030000
InitEQ_Regime 0.0000000
Forecast_Recruitment 0.0000000
Parm_priors 5.6034200
Parm_softbounds 0.0093983
Parm_devs 0.0000000
F_Ballpark 0.5744310
F_Ballpark(info_only)_1995_estF_tgtF 0.0684743
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 -459.0010 2389.3000 1253.130
1_PS_ESFR_6585 0 0 0.0000 133.3430 274.782
2_PS_ESFR_8690 0 0 0.0000 54.5853 0.000
3_PS_ESFR_FS_9122 0 0 241.1810 129.6190 112.722
4_PS_ESFR_FOB_9122 0 0 -41.8456 166.5740 0.000
5_BB_PS_Ghana_6522 0 0 0.0000 371.8890 0.000
6_BB_area2_Sdak 0 0 0.0000 162.3080 0.000
7_BB_DAKAR_6280 0 0 0.0000 193.1110 0.000
8_BB_DAKAR_8122 0 0 0.0000 444.2600 0.000
9_North_BB_Azores 0 0 0.0000 0.0000 0.000
10_Japan_LL_N 0 0 -32.2719 185.6170 0.000
11_Japan_LL_TRO 0 0 -65.8336 414.9250 0.000
12_Japan_LL_S 0 0 -14.1300 80.3734 0.000
13_Other_LL_N 0 0 0.0000 678.9040 121.310
14_Other_LL_TRO 0 0 0.0000 523.6800 0.000
15_Other_LL_S 0 0 0.0000 221.0620 0.000
16_HL_Braz_N 0 0 0.0000 0.0000 0.000
17_US_RR 0 0 0.0000 242.7730 1131.820
18_PS_WEST 0 0 0.0000 360.8610 0.000
19_OTH_OTH 0 0 0.0000 414.7210 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.
\(SSB_{MSY}\) \(F_{MSY}\) \(MSY\) \(SSB_{2022}/SSB_{MSY}\) \(F_{2022}/F_{MSY}\)
759137.00 0.13 145926.00 1.53 0.64

Kobe Plot

Kobe Plot