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Nonlinear Dynamics

, Volume 95, Issue 2, pp 1529–1548 | Cite as

Optimal harvesting strategy of a stochastic inshore–offshore hairtail fishery model driven by Lévy jumps in a polluted environment

  • Yu Zhao
  • Liang You
  • Daniel Burkow
  • Sanling YuanEmail author
Original Paper
  • 103 Downloads

Abstract

With the increasing demand for aquatic products all over the world, exploring the interactions between inshore and offshore fisheries is one of the meaningful issues to help boost yield and meet immediate protein needs. However, pollution and environmental fluctuations (fishery trading market, ocean meteorological factors) may seriously affect the optimal harvesting strategy of the interaction between inshore and offshore components of the fishery. In response to this problem, we present a stochastic inshore–offshore fishery model in a polluted environment, which incorporates harvesting efforts subjected to Lévy jumps and environmental toxicant influence. By virtue of the ergodic methods, the optimal harvesting effort and maximum expectation of sustainable yields are established. Using the hairtail fisheries in the East China Sea as a case study, numerical simulations are carried out to support the theoretical results. These results show that the diffusion between inshore and offshore fisheries, Lévy jumps noise and environmental toxicant input may significantly affect the optimal harvesting strategy, which can provide suggestions for effective measures to increase the aquatic products and guide harmonious development of inshore and offshore aquaculture.

Keywords

Inshore–offshore fishery Environmental fluctuation Pollution Ergodic method Optimal harvesting policy 

Notes

Acknowledgements

Research is supported by the National Natural Science Foundation of China (11601250, 11671260) and the Scientific Research Project of Ningxia Medical University (XT2017002).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

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Copyright information

© Springer Nature B.V. 2018

Authors and Affiliations

  1. 1.School of Mathematica and Computer ScienceNingxia Normal UniversityGuyuanChina
  2. 2.School of Public Health and ManagementNingxia Medical UniversityYinchuanChina
  3. 3.School of International TradeShanxi University of Finance and EconomicsTaiyuanChina
  4. 4.Simon A. Levin Mathematical, Computational and Modeling Sciences CenterArizona State UniversityTempeUSA
  5. 5.College of ScienceUniversity of Shanghai for Science and TechnologyShanghaiChina

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