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Stock Assessment for Seven Fish Species Using the LBB Method from the Northeastern Tip of the Bay of Bengal, Bangladesh

Author

Listed:
  • Md. Abdullah Al-Mamun

    (College of Fisheries, Ocean University of China, Qingdao 266003, China
    Department of Fisheries, Ministry of Fisheries & Livestock, Dhaka 1217, Bangladesh)

  • Qun Liu

    (College of Fisheries, Ocean University of China, Qingdao 266003, China)

  • Sayedur Rahman Chowdhury

    (Institute of Marine Sciences, University of Chittagong, Chittagong 4331, Bangladesh)

  • Md. Sharif Uddin

    (Department of Fisheries, Ministry of Fisheries & Livestock, Dhaka 1217, Bangladesh)

  • K. M. Shahriar Nazrul

    (Department of Fisheries, Ministry of Fisheries & Livestock, Dhaka 1217, Bangladesh
    Marine Affairs Program, Dalhousie University, Halifax, NS B3H 4R2, Canada)

  • Rokeya Sultana

    (College of Fisheries, Ocean University of China, Qingdao 266003, China
    Directorate of Secondary and Higher Education, Dhaka 1217, Bangladesh)

Abstract

Assessment of fish stock status is generally required for fisheries management, which is difficult when the data are limited. The length-based Bayesian Biomass (LBB) approach is a powerful and new method, where only the length-frequency data are used for estimating the status of fisheries resources. Here, we applied the LBB method to assess the status of seven commercially valuable marine fishes from the northern tip of the Bay of Bengal (BoB), Bangladesh. These species were Lepturacanthus savala , Pampus argenteus, Nemipterus japonicas, Nemipterus randalli, Ilisha filigera, Saurida tumbil, and Upeneus sulphurous . The current relative biomass ( B/B 0 ) ratios were smaller than the B MSY /B 0 in five stocks, except for N. japonicas and N. randalli , and this indicates that, of the seven populations assessed, two are grossly overfished, three are overfished, and two are healthy stocks. Moreover, the length at first capture ( L c ) was lower than the optimal length at first capture ( L c_opt ) in all seven populations, which indicates growth overfishing, suggesting that increasing the mesh sizes would be beneficial. The present findings confirm that Bangladesh’s coastal water fishery resources are declining. More specific targeted management measures should be taken to recover the country’s marine fishery resources.

Suggested Citation

  • Md. Abdullah Al-Mamun & Qun Liu & Sayedur Rahman Chowdhury & Md. Sharif Uddin & K. M. Shahriar Nazrul & Rokeya Sultana, 2021. "Stock Assessment for Seven Fish Species Using the LBB Method from the Northeastern Tip of the Bay of Bengal, Bangladesh," Sustainability, MDPI, vol. 13(3), pages 1-11, February.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1561-:d:491658
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    References listed on IDEAS

    as
    1. Khan, A.A. & Sada, N.U. & Chowdhury, Z.A., 2003. "Status of the demersal fishery resources of Bangladesh," Monographs, The WorldFish Center, number 37729, April.
    2. Pauly, D. & Morgan, G.R. (eds.), 1987. "Length-based methods in fisheries research," Monographs, The WorldFish Center, number 1325, April.
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    Cited by:

    1. Chengpu Jiang & Wenqing Wang & Suzhen Yan & Yipeng Ding & Xuefang Mi & Mao Wang & Daniel Pauly, 2022. "Assessment of Tropical Fish Stocks Using the LBB Method in Dongzhaigang Bay, Hainan Island, China," Sustainability, MDPI, vol. 14(16), pages 1-11, August.
    2. Rizwana Subhani & Shahab E. Saqib & Md. Anishur Rahman & Mokbul Morshed Ahmad & Siriporn Pradit, 2021. "Impact of Cyclone Yaas 2021 Aggravated by COVID-19 Pandemic in the Southwest Coastal Zone of Bangladesh," Sustainability, MDPI, vol. 13(23), pages 1-13, December.
    3. Youwei Xu & Xiaojie Dai & Zirong Huang & Mingshuai Sun & Zuozhi Chen & Kui Zhang, 2022. "Stock Assessment of Four Dominant Shark Bycatch Species in Bottom Trawl Fisheries in the Northern South China Sea," Sustainability, MDPI, vol. 14(7), pages 1-11, March.

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