Estimating blue marlin (Makaira nigricans) sustainable yield in the Indian Ocean using a data-poor approach
Blue marlin (Makaira nigricans) is a common bycatch species in the global tuna longline fishery. In this study, we applied a common data-poor approach, i.e., depletion-corrected average catch (DCAC) to assess stock status of the Indian Ocean blue marlin. Sustainable yield (Ysust), one reference poin...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2019-05-01
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| Series: | Aquaculture and Fisheries |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468550X18301874 |
| _version_ | 1797203146852794368 |
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| author | Yuwei Fan Zhe Geng Jiangfeng Zhu Xiaojie Dai Kindong Richard |
| author_facet | Yuwei Fan Zhe Geng Jiangfeng Zhu Xiaojie Dai Kindong Richard |
| author_sort | Yuwei Fan |
| collection | DOAJ |
| description | Blue marlin (Makaira nigricans) is a common bycatch species in the global tuna longline fishery. In this study, we applied a common data-poor approach, i.e., depletion-corrected average catch (DCAC) to assess stock status of the Indian Ocean blue marlin. Sustainable yield (Ysust), one reference point in this case, was estimated, and its uncertainty was integrated by using Monte Carlo simulation. The results revealed the estimate of Ysust by DCAC was lower than MSY of 11,926 t by BSP-SS and is also lower than the provisional reference point of 11,704 t by the management proposal. DCAC is reliable for blue marlin in driving precautionary management quantity based on the CPUE of Japan (1980–2015). This study also implies that DCAC could be applied to other billfish stocks and uncertainty be estimated for sustainable yield. However, data-poor methods could be adjusted with precautionary approaches. Keywords: Blue marlin, Data-poor approach, Stock assessment, Indian Ocean |
| first_indexed | 2024-04-24T08:14:42Z |
| format | Article |
| id | doaj.art-28493dcd223b4835a12b1a1b77b477ac |
| institution | Directory Open Access Journal |
| issn | 2468-550X |
| language | English |
| last_indexed | 2024-04-24T08:14:42Z |
| publishDate | 2019-05-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Aquaculture and Fisheries |
| spelling | doaj.art-28493dcd223b4835a12b1a1b77b477ac2024-04-17T04:29:36ZengKeAi Communications Co., Ltd.Aquaculture and Fisheries2468-550X2019-05-0143122127Estimating blue marlin (Makaira nigricans) sustainable yield in the Indian Ocean using a data-poor approachYuwei Fan0Zhe Geng1Jiangfeng Zhu2Xiaojie Dai3Kindong Richard4College of Marine Sciences, Shanghai Ocean University, Shanghai, 201306, China; Key Laboratory of Oceanic Fisheries Exploration, Shanghai Ocean University, Ministry of Agriculture, Shanghai, 201306, ChinaCollege of Marine Sciences, Shanghai Ocean University, Shanghai, 201306, China; Key Laboratory of Oceanic Fisheries Exploration, Shanghai Ocean University, Ministry of Agriculture, Shanghai, 201306, ChinaCollege of Marine Sciences, Shanghai Ocean University, Shanghai, 201306, China; Key Laboratory of Oceanic Fisheries Exploration, Shanghai Ocean University, Ministry of Agriculture, Shanghai, 201306, ChinaCollege of Marine Sciences, Shanghai Ocean University, Shanghai, 201306, China; Key Laboratory of Oceanic Fisheries Exploration, Shanghai Ocean University, Ministry of Agriculture, Shanghai, 201306, China; Corresponding author. College of Marine Sciences, Shanghai Ocean University, Shanghai, 201306, China.National Engineering Research Center for Oceanic Fisheries, Shanghai, 201306, China; Scientific Observing and Experimental Station of Oceanic Fisheries Resources and Environment, Ministry of Agriculture, Shanghai, 201306, ChinaBlue marlin (Makaira nigricans) is a common bycatch species in the global tuna longline fishery. In this study, we applied a common data-poor approach, i.e., depletion-corrected average catch (DCAC) to assess stock status of the Indian Ocean blue marlin. Sustainable yield (Ysust), one reference point in this case, was estimated, and its uncertainty was integrated by using Monte Carlo simulation. The results revealed the estimate of Ysust by DCAC was lower than MSY of 11,926 t by BSP-SS and is also lower than the provisional reference point of 11,704 t by the management proposal. DCAC is reliable for blue marlin in driving precautionary management quantity based on the CPUE of Japan (1980–2015). This study also implies that DCAC could be applied to other billfish stocks and uncertainty be estimated for sustainable yield. However, data-poor methods could be adjusted with precautionary approaches. Keywords: Blue marlin, Data-poor approach, Stock assessment, Indian Oceanhttp://www.sciencedirect.com/science/article/pii/S2468550X18301874 |
| spellingShingle | Yuwei Fan Zhe Geng Jiangfeng Zhu Xiaojie Dai Kindong Richard Estimating blue marlin (Makaira nigricans) sustainable yield in the Indian Ocean using a data-poor approach Aquaculture and Fisheries |
| title | Estimating blue marlin (Makaira nigricans) sustainable yield in the Indian Ocean using a data-poor approach |
| title_full | Estimating blue marlin (Makaira nigricans) sustainable yield in the Indian Ocean using a data-poor approach |
| title_fullStr | Estimating blue marlin (Makaira nigricans) sustainable yield in the Indian Ocean using a data-poor approach |
| title_full_unstemmed | Estimating blue marlin (Makaira nigricans) sustainable yield in the Indian Ocean using a data-poor approach |
| title_short | Estimating blue marlin (Makaira nigricans) sustainable yield in the Indian Ocean using a data-poor approach |
| title_sort | estimating blue marlin makaira nigricans sustainable yield in the indian ocean using a data poor approach |
| url | http://www.sciencedirect.com/science/article/pii/S2468550X18301874 |
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