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Stock assessment for Atlantic yellowfin tuna based on Bayesian state-space production model
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Zhipan Tian1, Siquan Tian1, 2, 3, Libin Dai1, Qiuyun Ma1, 2, 3, *
Haiyang Xuebao | 2021, 43(2) : 67 - 77
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Haiyang Xuebao | 2021, 43(2): 67-77
Article
Stock assessment for Atlantic yellowfin tuna based on Bayesian state-space production model
Full
Zhipan Tian1, Siquan Tian1, 2, 3, Libin Dai1, Qiuyun Ma1, 2, 3, *
Affiliations
  • 1College of Marine Science, Shanghai Ocean University, Shanghai 201306, China
  • 2National Engineering Research Center for Oceanic Fisheries, Shanghai 201306, China
  • 3Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai 201306, China
Published: 2021-02-25 doi: 10.12284/hyxb2021002
Outline
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Yellowfin tuna (Thunnus albacares) is an important fishing target for offshore fisheries worldwide. Stock assessment is essential for its fishery management of sustainable exploitation. According to catch and catch per unit effort (CPUE) data from the International Commission for Conservation of Atlantic Tunas (ICCAT), the Bayesian state space model was conducted to make stock assessment in an open environment (Just Another Bayesian Biomass Assessment) and to compare the effects of different surplus production forms and CPUE data on the assessment. The results showed that the model performed best with the Fox surplus production form and CPUE data of four fleets (United States, Venezuela, Japan and Chinese Taipei). The median and 95% confidence intervals for carrying capacity, intrinsic growth rate were 178 (140, 229)×104 t and 0.210 (0.159, 0.274), respectively. The current stock was not overfished (B/BMSY=1.109) and was not subject to overfishing (F/FMSY=0.893). Sensitivity analysis revealed that when the rates of reported catch divided by the actual catch were 70%, 80%, 90%, 110%, 120%, and 130%, the current biomass assessment results were higher with lower fishing rate, but the stock was still in a healthy status. When the total allowable catch (TAC) was set at 11×104 t, the stock would remain basically healthy until 2024. The results from this stock assessment is generally consistent with ICCAT's current stock assessment results, so it is recommended to set a TAC of 11×104 t to keep the stock status healthy and sustainable exploitation of this important fishery.

Atlantic Ocean  /  yellowfin tuna  /  stock assessment  /  surplus production model  /  sensitivity analysis
Zhipan Tian, Siquan Tian, Libin Dai, Qiuyun Ma. Stock assessment for Atlantic yellowfin tuna based on Bayesian state-space production model[J]. Haiyang Xuebao, 2021 , 43 (2) : 67 -77 . DOI: 10.12284/hyxb2021002
Year 2021 volume 43 Issue 2
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doi: 10.12284/hyxb2021002
  • Receive Date:2019-12-11
  • Online Date:2026-02-26
  • Published:2021-02-25
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  • Received:2019-12-11
  • Revised:2020-05-09
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Affiliations
    1College of Marine Science, Shanghai Ocean University, Shanghai 201306, China
    2National Engineering Research Center for Oceanic Fisheries, Shanghai 201306, China
    3Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Ministry of Education, Shanghai 201306, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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