IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v392y2021ics0096300320306962.html
   My bibliography  Save this article

Optimal harvesting strategy for hairtail, Trichiurus Lepturus, in Korea Sea using discrete-time age-structured model

Author

Listed:
  • Jeong, Yong Dam
  • Kim, Sangil
  • Jung, Il Hyo
  • Cho, Giphil

Abstract

Hairtail, Trichiurus Lepturus, is the major fishery resource in Korea and so has been occupying a large portion of total catches for a longtime. However, since the 1980s, the catch has fallen sharply. A climatic change and over-fishing of immature hairtails have decreased the resource in Korea Sea, which caused reduction in the catch. So, we should analyze this phenomenon and need to manage them. Thus, in this study, we first propose a discrete time age-structured model of hairtails from their biological features. Especially, since hairtail is the representative fish with characteristics of cannibalism in the marine ecosystem, we set the recruitment as Ricker type. Furthermore, for the environmental effect on its spawning, the sea surface temperature in the spawning ground is included in the model. Next, we find an optimal harvesting strategy for preserving the immature hairtails while simultaneously maximizing the corresponding profit of the fishing. The discrete-time optimal control problem is conducted as the extension of Pontryagin’s Maximum Principle to discrete system. Moreover, to suggest the optimal harvesting strategy in the future, the forecast of sea surface temperature should be accompanied. This is carried out by wavelet-ARIMA forecasting method. By using numerical simulations, we obtain that in the perspective of conservation, the limited fishing is the best for management of hairtails. On the other hand, in terms of balance between the conservation and economic profits, the optimal harvesting strategy is better than the limited fishing.

Suggested Citation

  • Jeong, Yong Dam & Kim, Sangil & Jung, Il Hyo & Cho, Giphil, 2021. "Optimal harvesting strategy for hairtail, Trichiurus Lepturus, in Korea Sea using discrete-time age-structured model," Applied Mathematics and Computation, Elsevier, vol. 392(C).
  • Handle: RePEc:eee:apmaco:v:392:y:2021:i:c:s0096300320306962
    DOI: 10.1016/j.amc.2020.125743
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300320306962
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2020.125743?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Killick, Rebecca & Eckley, Idris A., 2014. "changepoint: An R Package for Changepoint Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i03).
    2. Katsumata, Yuki & Uehara, Takashi & Ito, Hiromu & Yoshimura, Jin & Tainaka, Kei-ichi & Ichinose, Genki, 2018. "Density-dependent population model of effective release policy for Ayu fish," Ecological Modelling, Elsevier, vol. 388(C), pages 80-87.
    3. Pal, D. & Samanta, G.P. & Mahapatra, G.S., 2017. "Selective harvesting of two competing fish species in the presence of toxicity with time delay," Applied Mathematics and Computation, Elsevier, vol. 313(C), pages 74-93.
    4. 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.
    5. Brochier, Timothée & Auger, Pierre & Thiam, Ndiaga & Sow, Momar & Diouf, Sidiya & Sloterdijk, Hans & Brehmer, Patrice, 2015. "Implementation of artificial habitats: Inside or outside the marine protected areas? Insights from a mathematical approach," Ecological Modelling, Elsevier, vol. 297(C), pages 98-106.
    6. Kumar, Vijay & Kumari, Beena, 2015. "Mathematical modelling of the seasonal variability of plankton and forage fish in the Gulf of Kachchh," Ecological Modelling, Elsevier, vol. 313(C), pages 237-250.
    7. Liu, Meng & Bai, Chuanzhi, 2016. "Optimal harvesting of a stochastic mutualism model with Lévy jumps," Applied Mathematics and Computation, Elsevier, vol. 276(C), pages 301-309.
    8. Li, Junmin & Huang, Ping & Zhang, Renduo, 2010. "Modeling the refuge effect of submerged macrophytes in ecological dynamics of shallow lakes: A new model of fish functional response," Ecological Modelling, Elsevier, vol. 221(17), pages 2076-2085.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ibrahima DIEDHIOU & Salimata DIAGNE & Ndiaga THIAM & Coumba DIOP & Gabriel NDIAYE & Fambaye SOW & Aissatou NDOYE, 2018. "Optimization of Sampling of Small Pelagic Fishes in the Exclusive Economic Zone of Senegal under the Climate Impact," Journal of Mathematics Research, Canadian Center of Science and Education, vol. 10(4), pages 107-115, August.
    2. Ni, Yuanming & Steinshamn, Stein I. & Kvamsdal, Sturla F., 2022. "Negative shocks in an age-structured bioeconomic model and how to deal with them," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 15-30.
    3. Jana, Debaldev & Pathak, Rachana & Agarwal, Manju, 2016. "On the stability and Hopf bifurcation of a prey-generalist predator system with independent age-selective harvesting," Chaos, Solitons & Fractals, Elsevier, vol. 83(C), pages 252-273.
    4. Petter Arnesen & Odd A. Hjelkrem, 2018. "An Estimator for Traffic Breakdown Probability Based on Classification of Transitional Breakdown Events," Transportation Science, INFORMS, vol. 52(3), pages 593-602, June.
    5. Dehler-Holland, Joris & Schumacher, Kira & Fichtner, Wolf, 2021. "Topic Modeling Uncovers Shifts in Media Framing of the German Renewable Energy Act," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 2(1).
    6. Martin F. Quaas & Till Requate, 2013. "Sushi or Fish Fingers? Seafood Diversity, Collapsing Fish Stocks, and Multispecies Fishery Management," Scandinavian Journal of Economics, Wiley Blackwell, vol. 115(2), pages 381-422, April.
    7. Malte Willmes & Katherine M Ransom & Levi S Lewis & Christian T Denney & Justin J G Glessner & James A Hobbs, 2018. "IsoFishR: An application for reproducible data reduction and analysis of strontium isotope ratios (87Sr/86Sr) obtained via laser-ablation MC-ICP-MS," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-15, September.
    8. Da Rocha, José María & García-Cutrín, Javier & Gutiérrez Huerta, María José & Touza, Julia, 2015. "Reconciling yield stability with international fisheries agencies precautionary preferences: the role of non constant discount factors in age structured models," DFAEII Working Papers 1988-088X, University of the Basque Country - Department of Foundations of Economic Analysis II.
    9. Zhang, Yan & Fan, Kuangang & Gao, Shujing & Liu, Yingfen & Chen, Shihua, 2019. "Ergodic stationary distribution of a stochastic SIRS epidemic model incorporating media coverage and saturated incidence rate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 671-685.
    10. Salvatore Fasola & Vito M. R. Muggeo & Helmut Küchenhoff, 2018. "A heuristic, iterative algorithm for change-point detection in abrupt change models," Computational Statistics, Springer, vol. 33(2), pages 997-1015, June.
    11. Tasadduq Imam, 2021. "Model selection for one‐day‐ahead AUD/USD, AUD/EUR forecasts," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1808-1824, April.
    12. Raputsoane, Leroi, 2018. "Temporal homogeneity between financial stress and the economic cycle," MPRA Paper 91119, University Library of Munich, Germany.
    13. Liu, Meng & Bai, Chuanzhi, 2020. "Optimal harvesting of a stochastic mutualism model with regime-switching," Applied Mathematics and Computation, Elsevier, vol. 373(C).
    14. Melstrom, Richard T., 2015. "Cyclical harvesting in fisheries with bycatch," Resource and Energy Economics, Elsevier, vol. 42(C), pages 1-15.
    15. Pal, D. & Samanta, G.P. & Mahapatra, G.S., 2017. "Selective harvesting of two competing fish species in the presence of toxicity with time delay," Applied Mathematics and Computation, Elsevier, vol. 313(C), pages 74-93.
    16. Hui Zhang & Minna Väliranta & Graeme T. Swindles & Marco A. Aquino-López & Donal Mullan & Ning Tan & Matthew Amesbury & Kirill V. Babeshko & Kunshan Bao & Anatoly Bobrov & Viktor Chernyshov & Marissa , 2022. "Recent climate change has driven divergent hydrological shifts in high-latitude peatlands," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    17. Subhashis Chatterjee & Ankur Shukla, 2016. "Change point–based software reliability model under imperfect debugging with revised concept of fault dependency," Journal of Risk and Reliability, , vol. 230(6), pages 579-597, December.
    18. Josephine R. Paris & James R. Whiting & Mitchel J. Daniel & Joan Ferrer Obiol & Paul J. Parsons & Mijke J. Zee & Christopher W. Wheat & Kimberly A. Hughes & Bonnie A. Fraser, 2022. "A large and diverse autosomal haplotype is associated with sex-linked colour polymorphism in the guppy," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    19. C Jara-Figueroa & Amy Z Yu & César A Hidalgo, 2019. "How the medium shapes the message: Printing and the rise of the arts and sciences," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-14, February.
    20. Dehler-Holland, Joris & Okoh, Marvin & Keles, Dogan, 2022. "Assessing technology legitimacy with topic models and sentiment analysis – The case of wind power in Germany," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:apmaco:v:392:y:2021:i:c:s0096300320306962. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.