Long-term fishing impact on the Senegalese coastal demersal resources: diagnosing from stock assessment models

Ecosystem Approach to the management of fisheries and the marine environment in West African waters conference

Free Access

Table 3

Outputs of the dynamic production models computed in a Bayesian framework. All extracted parameters are median posterior estimate: intrinsic growth rate (r in year⁻¹), catchability (q), carrying capacity (K in tons), maximum sustainable yield (MSY in tons), Biomass at MSY (B_MS_Y in tons), Fishing mortality at MSY (F_MS_Y in year⁻¹), Current fishing mortality per fishing sector (F_I_F and F_A_F for industrial and artisanal, respectively), ratio of initial biomass to carrying capacity (B_star_t/K), ratio of current biomass to carrying capacity (B₂₀₁₃/K), deviance information criterion (DIC) and coefficient of determination for the dynamic biomass production model fitted to abundance indices (R² dyn).

Stock	r	q (*10⁻²)	K	MSY	B_MSY	F_MSY	F_IF	F_AF	B_start/K	B₂₀₁₃/K	DIC	R²dyn
African lesser	2.51	1.08	47900	4111	17620	0.23	0.19	0.09	0.83	0.33	431.7	0.49
Bluespotted seabream	2.59	1.09	40510	3635	14900	0.24	0.09	0.24	0.83	0.33	312.7	0.45
Goatfish	2.50	1.16	17720	1668	6519	0.26	0.17	0.01	0.83	0.41	399	0.80
Other groupers	1.86	1.09	44040	2811	16200	0.17	4 × 10⁻⁴	0.04	0.83	0.41	222.4	0.85
Red pandora	2.44	1.15	89100	7017	32780	0.21	0.04	0.13	0.84	0.40	452	0.81
Rubberlip grunt	2.20	1.09	50270	3762	18490	0.20	0.02	0.07	0.83	0.44	287.6	0.71
Smooth-mouth sea catfishes	2.40	1.11	115300	8738	42410	0.21	0.03	0.23	0.82	0.28	341.5	0.30
Snappers	1.20	1.15	11660	550	4289	0.13	0.01	0.09	0.82	0.34	170.3	0.61
Tonguesoles	2.61	1.11	77050	6562	28350	0.23	0.09	0.13	0.82	0.32	497.8	0.60
White grouper	1.93	1.10	25130	1764	9245	0.19	0.02	0.09	0.84	0.43	245.5	0.85

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