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Optimal harvest strategy based on a discrete age-structured model with monthly fishing effort for chub mackerel, Scomber japonicus, in South Korea

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  • Jang, Geunsoo
  • Cho, Giphil

Abstract

Currently, the catch of fishery resources in South Korea has fallen more than 40%, from 1.73 million tons in 1986 to 1.01 million tons in 2018. In particular, the amount of chub mackerel, one of the most favored fish species by South Koreans, caught in 2017 was 103,870 tons, which was only 25% of the total catch, compared with 415,003 tons in 1996. The total allowable catch system and the closed season are currently in place as a countermeasure to the continued decline in fishery resources; however, their effectiveness is questionable. Our study aims to maximize fishing profits by controlling the monthly fishing effort while maintaining the amount of chub mackerel. Discrete age-structured mathematical model was established with an optimal harvest control system. Density-dependent mortality was applied at the juvenile stage to reflect fish mortality because it is highly dependent on population density in the underage phase. The conditions of the parameters guaranteeing the existence of optimal harvest strategies were demonstrated and obtained using Pontryagin's maximum principle. We compared an optimal harvest strategies and the actual harvest strategies of fishing effort from July 2010 to June 2020. In addition, we compared the profit and biomass of the optimal harvest strategies when designating one month in a year as closed season. We also conducted sensitivity analysis by varying the price of chub mackerel and cost of fishing effort. As a result, the optimal harvest strategies are to have the highest amount of fishing effort from August to September and gradually reduce the amount of effort. The optimal harvest strategies could improve the maximum economic yield and the maximum sustainable yield by 11.9% and 10.9%, respectively, over the observed strategy. To the best of our knowledge, forecasting analysis of the maximum economic yield and closed season conducted based on optimal harvest control system for Chub mackerel in South Korea. The appropriate allocation of monthly fishing effort can increase sustainable catch and profit. In addition, it is better to implement a closed season in July to maximize the profit of fishing and in June to the resource recovery.

Suggested Citation

  • Jang, Geunsoo & Cho, Giphil, 2022. "Optimal harvest strategy based on a discrete age-structured model with monthly fishing effort for chub mackerel, Scomber japonicus, in South Korea," Applied Mathematics and Computation, Elsevier, vol. 425(C).
  • Handle: RePEc:eee:apmaco:v:425:y:2022:i:c:s009630032200145x
    DOI: 10.1016/j.amc.2022.127059
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    References listed on IDEAS

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    1. Anders Skonhoft & Niels Vestergaard & Martin Quaas, 2012. "Optimal Harvest in an Age Structured Model with Different Fishing Selectivity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 51(4), pages 525-544, April.
    2. Messaoud Bounkhel & Lotfi Tadj, 2015. "Optimal Harvesting Effort for Nonlinear Predictive Control Model for a Single Species Fishery," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-8, February.
    3. Qiu, Hong & Deng, Wenmin, 2018. "Optimal harvesting of a stochastic delay competitive Lotka–Volterra model with Lévy jumps," Applied Mathematics and Computation, Elsevier, vol. 317(C), pages 210-222.
    4. Bairagi, Nandadulal & Bhattacharya, Santanu & Auger, Pierre & Sarkar, Biswajit, 2021. "Bioeconomics fishery model in presence of infection: Sustainability and demand-price perspectives," Applied Mathematics and Computation, Elsevier, vol. 405(C).
    5. Qiu, Hong & Deng, Wenmin, 2018. "Optimal harvesting of a stochastic delay tri-trophic food-chain model with Lévy jumps," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1715-1728.
    6. Dou, Jiawei & Li, Shundong, 2017. "Optimal impulsive harvesting policies for single-species populations," Applied Mathematics and Computation, Elsevier, vol. 292(C), pages 145-155.
    7. Olli Tahvonen & Martin Quaas & Jörn Schmidt & Rudi Voss, 2013. "Optimal Harvesting of an Age-Structured Schooling Fishery," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(1), pages 21-39, January.
    8. Liu, Guodong & Chang, Zhengbo & Meng, Xinzhu & Liu, Siyu, 2020. "Optimality for a diffusive predator-prey system in a spatially heterogeneous environment incorporating a prey refuge," Applied Mathematics and Computation, Elsevier, vol. 384(C).
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