الگوی بهینه برداشت میگوی دریایی از صیدگاه های قشم با درنظر گرفتن ملاحظات اقتصادی و زیست محیطی
محورهای موضوعی :
توسعه پایدار
محمد جواد سلطانی قلعه
1
,
یعقوب زراعت کیش
2
,
زهرا عابدی
3
1 - دانشجوی دکترای گروه تخصصی اقتصاد محیط زیست، دانشکده منابع طبیعی و محیط زیست، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران.
2 - عضو هیات علمی گروه اقتصاد کشاورزی و صنایع غذایی، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران. *(مسوول مکاتبات)
3 - استادیار دانشکده منابع طبیعی و محیط زیست، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران.
تاریخ دریافت : 1400/07/26
تاریخ پذیرش : 1400/10/01
تاریخ انتشار : 1401/01/01
کلید واژه:
توسعه پایدار,
صیدگاه‌های قشم,
اقتصاد زیستی,
تحلیل سلسله مراتبی,
ذینفعان صید میگو,
چکیده مقاله :
زمینه و هدف: توسعه پایدار به تداوم منابع، حفظ سطح سرمایه و جریان مستمر خدمات آن برای حال و آینده توجه دارد. ازآنجا که اقتصاد دریا محور و برداشت پایدار آبزیان برای تامین توسعه در کشورمان ضرورت دارد، در عرصه صید میگوی دریایی نیز اهداف به صورت" اشتغال، سوددهی، مشارکت و ایمنی شاغلان، به همراه کاهش صید دور ریز و حفظ تنوع زیستی" دنبال می شود. تعداد بهینه ناوگان صید میگو با توجه به ملاحظات زیست محیطی، اقتصادی و اجتماعی در منطقه صیدگاهی قشم مورد نظر است. روش بررسی: ذینفعان و اهداف آنها شناسایی و با تحلیل سلسله مراتبی وزن هر یک از اهداف تعیین و با برنامه‌ریزی خطی مدل‌ها برآورد شد. کل صید مجاز میگو سالانه (از سال 1395 تا 1398) به همراه تخمین‌های مدل خطی و اوزان آن در مدل برنامه‌ریزی چند معیاره و آرمانی تحلیل شد.یافته ها: در این مطالعه ترجیحات گروه های هفتگانه ذینفعان شناسایی شده، شامل صید، کارگری، اعضای سمن های محیط زیستی، دولت، شاغلان شیلات، محققان مراکز تحقیقاتی و فرآوری میگو نشان داد حداکثر کسب سود برای تمام گروه ها اولین اولویت است. کاهش صید ضمنی کمترین ترجیح را دارد.بحث و نتیجه گیری: سهم ناوگان متوسط برای حصول اهداف تحقیق 64 درصد برآورد شد. براساس یافته های تحقیق کاهش سهم ناوگان بزرگ مقیاس و افزایش نوع متوسط برای ایجاد پایداری در برداشت توصیه می شود.
چکیده انگلیسی:
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.
منابع و مأخذ:
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.
_||_
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.
