Optimal pattern of marine shrimp catching from the Qeshm hunting areas by economical and environmental considerations
Subject Areas :
Sustainable Development
mohammad javad soltani ghaleh
1
,
Yaghoub Zaraat Kish
2
,
Zahra Abedi
3
1 - PhD, Student Department of Environmental Economics, Faculty of Natural Resources and Environment, Islamic Azad University, Science and Research Unit, Tehran, Iran.
2 - Member of the academic staff of the Department of Agricultural Economics and Food Industry, Islamic Azad University, Science and Research Unit, Tehran, Iran. *(Corresponding Author)
3 - Assistant Professor, Faculty of Natural Resources and Environment, Islamic Azad University, Science and Research Unit, Tehran, Iran.
Received: 2021-10-18
Accepted : 2021-12-22
Published : 2022-03-21
Keywords:
Bioeconomics,
Analytical hierarchy process,
Shrimp Stakeholders,
Qeshm hunting areas,
Sustainable development,
Abstract :
Background and Objective: Sustainable development focuses on the continuity of resources, the stability of capital and the continuous flow of its services for the present and the future. The Sea-based economy and the optimal yeild for development are important for our country. In marine shrimp fishing, the goals are "employment, profit, participation and safety of employees, as well as the reduction of by-catch fishing and the conservation of biodiversity" are pursued. The goal is to obtain the optimal fleet according to environmental, economic and social considerations in Qeshm fishing area.Material and Methodology: Stakeholders and their objectives were identified and 70 samples were randomly selected. The weight of each goal was determined by Analytic Hierarchy Process (AHP), and the models were estimated by Linear Programming. The total allowable shrimp catch (TAC) along with the linear model estimates and its weights were analyzed through Multi-Criteria Decision Making (MCDM) and the goal programming (GP) model.Findings: In this study the preferences of the seven groups of identified stakeholders, including fisheries, labor, environmental NGOs, government, fisheries workers, researchers and processing centers, showed that maximum profit is the first priority for all groups. Reducing overfishing is the least preferred.Discussion and Conclusion: The share of the average fleet (between 20 and 50 tons) to achieve the research objectives was estimated at 64%. Based on the research findings, reducing the share of large fleet size and increasing the medium size is recommended to create harvest stability.
References:
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Mardle ,S. Pascoe, S.1997. A review of applications to fisheries using multi-objective programming techniques. University of Portsmouth, Centre for the Economics and Management of Aquatic Resources. pp.1-25.
Pascoe ,S. Hutton ,T. Thébaud, O. Deng ,R. Klaer ,N. Vieira, S. 2015.Setting economic target reference points for multiple species in mixed fisheries. FRDC Final Report.pp.
Porchelvi ,RS, Irine J.2018. A Multi-objective Linear Programming model for small-scale fish farmers in Polyculture fish farming. International Journal of Pure and Applied Mathematics.119(7):361-8.
Deputy of Resource Planning and Management - Budget Planning Office - Planning and Statistics Department of Iran Fisheries Organization. (2019) Statistical year book 2013-2018. Chapter One (22-21). Season Two (51-50).
Kjaersgaard, Jens. Andersen ,L,Jesper .2015. Multi-objective management in fisheries: the case of the Danish industrial fisheries in the NoRTH Sea. Pp. 1-90.
Mardle ,S, Pascoe S, Herrero I.2004. Management objective importance in fisheries: an evaluation using the analytic hierarchy process (AHP). Environmental Management.;33(1):1-11.
Gillett ,R.2008. Global study of shrimp fisheries: Food and Agriculture Organization of the United Nations Rome.p.475.
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Karimi, Zahra .Manzar ,Azad. Mohammad ,Ali.2014. Natural Resources Economy - Contrasting of Conventional Approach and Sustainable Development. Tabriz: University of Tabriz.pp.3-5. (In Persian)
Keswani C.2020. Bioeconomy for sustainable development. Springer Singapore; pp. 3-19.
Kaushik ,A. Kaushik ,C. 2010.Basics of environment and ecology: New Age International; New Delhi.pp. 32-36.
Niamaimandi ,Nassir. Noorinejad ,Mohsen. Matinfar, Abbas.2009. Shrimp Biology.tehran:Jahad institiute of applied science technology.pp.5-43. (In Persian)
Niamaimandi, N., Valinassab, T. Dehghani, R. Daryanabard, R.2019. Evaluation of species diversity indices and distribution of bottom trawls species in the Hormozgan province waters. Experimental animal Biology, 8(1): 111-122. (In Persian)
Paighambari ,SY. Ghajarjazi, E. Abbaspoor ,Naderi. 2019.Determination of relative composition and density of invertebrates in shrimp trawler in Persian Gulf (Hormozgan province). Experimental animal Biology.;8(1):89-98. (In Persian)
Paighambar S Y, Daliri M, Khodadoust A.2017. Comparing the By-catch Composition of Shrimp Trawlers in Bushehr and Hormozgan Provinces. joc. 7 (28) :67-73. (In Persian)
Zeraatkish ,Y.2014.The Optimal Exploitation of fishery Resources in Persian Gulf (Application of Linear Programming). Agricultural Economics Research, 6(21): 23-44. (In Persian)
Zeraatkish ,Y. Eslami ,MR. 2015.Application of Multi-criteria Programming of Bushehr Coastal Agricultural Economics Research.7(27):221-41. (In Persian)
Zeraatkish ,SY.2015. Utilization of analytic hierarchy process (AHP) to meet management objectives in fishery industry of the Sea of Oman. Iranian journal of fisheries science. 15(4)1379-1387.
Mardle ,S. Pascoe, S.1997. A review of applications to fisheries using multi-objective programming techniques. University of Portsmouth, Centre for the Economics and Management of Aquatic Resources. pp.1-25.
Pascoe ,S. Hutton ,T. Thébaud, O. Deng ,R. Klaer ,N. Vieira, S. 2015.Setting economic target reference points for multiple species in mixed fisheries. FRDC Final Report.pp.
Porchelvi ,RS, Irine J.2018. A Multi-objective Linear Programming model for small-scale fish farmers in Polyculture fish farming. International Journal of Pure and Applied Mathematics.119(7):361-8.
Deputy of Resource Planning and Management - Budget Planning Office - Planning and Statistics Department of Iran Fisheries Organization. (2019) Statistical year book 2013-2018. Chapter One (22-21). Season Two (51-50).
Kjaersgaard, Jens. Andersen ,L,Jesper .2015. Multi-objective management in fisheries: the case of the Danish industrial fisheries in the NoRTH Sea. Pp. 1-90.
Mardle ,S, Pascoe S, Herrero I.2004. Management objective importance in fisheries: an evaluation using the analytic hierarchy process (AHP). Environmental Management.;33(1):1-11.
Gillett ,R.2008. Global study of shrimp fisheries: Food and Agriculture Organization of the United Nations Rome.p.475.