Computer Research and Modeling
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Computer Research and Modeling:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Computer Research and Modeling, 2017, Volume 9, Issue 4, Pages 609–620
DOI: https://doi.org/10.20537/2076-7633-2017-9-4-609-620
(Mi crm86)
 

This article is cited in 4 scientific papers (total in 4 papers)

ANALYSIS AND MODELING OF COMPLEX LIVING SYSTEMS

The stabilizing role of fish population structure under the influence of fishery and random environment variations

A. I. Abakumov, Yu. G. Izrailsky

Institute of Automation and Control Processes, Far Eastern Branch of the Russian Academy of Sciences, Radio st. 5, Vladivostok, 690041, Russia
Full-text PDF (484 kB) Citations (4)
References:
Abstract: We study the influence of fishery on a structured fish population under random changes of habitat conditions. The population parameters correspond to dominant pelagic fish species of Far-Eastern seas of the north-western part of the Pacific Ocean (pollack, herring, sardine). Similar species inhabit various parts of the Word Ocean. The species body size distribution was chosen as a main population feature. This characteristic is easy to measure and adequately defines main specimen qualities such as age, maturity and other morphological and physiological peculiarities. Environmental fluctuations have a great influence on the individuals in early stages of development and have little influence on the vital activity of mature individuals. The fishery revenue was chosen as an optimality criterion. The main control characteristic is fishing effort. We have chosen quadratic dependence of fishing revenue on the fishing effort according to accepted economic ideas stating that the expenses grow with the production volume. The model study shows that the population structure ensures the increased population stability. The growth and drop out of the individuals due to natural mortality smoothens the oscillations of population density arising from the strong influence of the fluctuations of environment on young individuals. The smoothing part is played by diffusion component of the growth processes. The fishery in its turn smooths the fluctuations (including random fluctuations) of the environment and has a substantial impact upon the abundance of fry and the subsequent population dynamics. The optimal time-dependent fishing effort strategy was compared to stationary fishing effort strategy. It is shown that in the case of quickly changing habitat conditions and stochastic dynamics of population replenishment there exists a stationary fishing effort having approximately the same efficiency as an optimal time-dependent fishing effort. This means that a constant or weakly varying fishing effort can be very efficient strategy in terms of revenue.
Keywords: mathematical model, population, size of individual, environment fluctuation, optimal harvesting, fishery, fishing effort, profit.
Funding agency Grant number
Far Eastern Branch of the Russian Academy of Sciences 15-I-4-006 o (0262-2015-0067)
The work was supported by Complex Program of Fundamental Researching of Far Eastern Branch of the Russian Academy of Sciences “Far East”, project no. 15-I-4-006 o (0262-2015-0067)
Received: 05.04.2017
Revised: 23.06.2017
Accepted: 24.07.2017
Document Type: Article
UDC: 519.8
Language: Russian
Citation: A. I. Abakumov, Yu. G. Izrailsky, “The stabilizing role of fish population structure under the influence of fishery and random environment variations”, Computer Research and Modeling, 9:4 (2017), 609–620
Citation in format AMSBIB
\Bibitem{AbaIzr17}
\by A.~I.~Abakumov, Yu.~G.~Izrailsky
\paper The stabilizing role of fish population structure under the influence of fishery and random environment variations
\jour Computer Research and Modeling
\yr 2017
\vol 9
\issue 4
\pages 609--620
\mathnet{http://mi.mathnet.ru/crm86}
\crossref{https://doi.org/10.20537/2076-7633-2017-9-4-609-620}
Linking options:
  • https://www.mathnet.ru/eng/crm86
  • https://www.mathnet.ru/eng/crm/v9/i4/p609
  • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Research and Modeling
    Statistics & downloads:
    Abstract page:318
    Full-text PDF :121
    References:43
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024