مدل سازی رشد و مرگ و میر ماهی کفال طلائی Chelon auratus (Risso, 1810) درآب های سواحل استان گلستان

نوع مقاله : مقاله کامل علمی - پژوهشی

نویسندگان

1 دانشجوی دکتری گروه تولید و بهره برداری آبزیان، دانشکده علوم کشاورزی و منابع طبیعی، دانشگاه گنبدکاووس، گنبدکاووس، ایران

2 نویسنده مسئول، دانشیار گروه شیلات، دانشکده علوم کشاورزی و منابع طبیعی، دانشگاه گنبدکاووس، گنبدکاووس، ایران.

3 استادیار گروه شیلات، دانشکده علوم کشاورزی و منابع طبیعی، دانشگاه گنبدکاووس، گنبدکاووس، ایران

4 دانشیار، سازمان آموزش و تحقیقات وزارت جهاد کشاورزی، مؤسسه تحقیقات علوم شیلاتی کشور، پژوهشکده اکولوژی آبزیان دریای‌خزر، ساری، ایران.

5 استادیار گروه شیلات، دانشکده علوم کشاورزی و منابع طبیعی، دانشگاه گنبدکاووس، گنبدکاووس، ایران.

چکیده

در این مطالعه، بررسی سن و رشد ماهی کفال‌طلائی (C. auratus) طی سال‌های 1397-1394 در آب‌های سواحل استان گلستان صورت گرفت. این مطالعه اولین بررسی روی مدل‌سازی و پیاده کردن سه مدل برآورد پارامترهای رشد ماهی کفال‌طلائی (C. auratus) در محدوده آب‌های ایران (استان گلستان) بود. درطول دوره نمونه‌برداری از صید تجاری با اندازه چشمه 27-33 و در خارج از فصل صید از تور با چشمه 20 و 30 استفاده شد. زیست‌سنجی ماهیان شامل طول چنگالی با دقت یک میلی‌متر، وزن کل با دقت 1 گرم صورت گرفت. دامنه طولی برای ماهی کفال‌طلائی 15 تا 5/59 سانتی‌متر و دامنه وزنی 5/52 تا 1401گرم بود. رابطه نمایی طول چنگالی و وزن کل (69/2L0023/0W=) به‌دست آمد. براساس رویکرد چندمدلی بهترین مدل برای نمایش نحوه رشد در این ماهی، مدل رشد گامپرتز (71/1= ∆AIC، 13/46 AIC=) بود، مدل لجستیک نیز برای ترسیم رشد این ماهی باتوجه به ضریب اطلاعاتی AIC بهترین مدل به‌دست آمد (27/1∆AIC = ، 71/50 AIC=). باتوجه به فشار صید قانونی و غیرقانونی بر روی این گونه ارزشمند نشان می‌دهد که جمعیت و میزان صید آن در سواحل جنوبی شرقی دریای خزر درحال افزایش است. نتایج این مطالعه می‌تواند به‌عنوان اطلاعات پایه‌ای برای صید و بهره‌برداری این گونه در آینده استفاده شود.

کلیدواژه‌ها

موضوعات


عنوان مقاله [English]

Age and growth of Golden Grey Mullet Chelon auratus (Risso, 1810) in coastal waters of Golestan province

نویسندگان [English]

  • Eisa Hajiradkouchak 1
  • Rahman Patimar 2
  • Hadi Raeisi 3
  • Hasan Fazli 4
  • Mohammad Gholizadeh 5
1 Ph.D. Student in Aquaculture Production and Exploitation, Faculty of Agricultural Sciences and Natural Resources, Gonbadkavos University, Gonbadkavos, Iran.
2 Corresponding Author, Associate Prof., Dept. of Fisheries, Faculty of Agricultural Sciences and Natural Resources, Gonbadkavos University, Gonbadkavos, Iran.
3 Assistant Prof., Dept. of Fisheries, Faculty of Agricultural Sciences and Natural Resources, Gonbadkavos University, Gonbadkavos, Iran
4 Associate Prof., Education and Research Organization of the Ministry of Agricultural Jihad, National Fisheries Science Research Institute, Caspian Sea Aquatic Ecology Research Institute, Sari, Iran.
5 Assistant Prof., Dept. of Fisheries, Faculty of Agricultural Sciences and Natural Resources, Gonbadkavos University, Gonbadkavos, Iran.
چکیده [English]

In this study, age and growth of Golden Grey Mullet (C. auratus) was investigated during the years 1394-1397 in the coastal waters of Golestan province. This study was the first study on the modeling and implementation of three models for estimating growth parameters of golden mullet (C. auratus) in Iranian waters (Golestan province). During the sampling period, commercial fishing with a size of 27-33 springs was used, and outside of the fishing season, a net with a size of 20 and 30 was used. Biometry of fish was done including fork length with an accuracy of 1 mm, total weight with an accuracy of 1 gram. The length range for golden mullet was 15 to 59.5 cm and the weight range was 52.5 to 1401 grams. The exponential relationship of fork length and total weight (W=0.69L0023) was obtained. Based on the multi-model approach, the best model to show the growth of this fish was the Gumpertz growth model (∆AIC = 1.71, AIC = 46.13), and the logistic model was the best model to depict the growth of this fish according to the AIC information coefficient ( ∆AIC = 1.27, AIC = 50.71). Considering the pressure of legal and illegal fishing on this valuable species, it shows that the population and the amount of fishing in the south-eastern coast of the Caspian Sea are increasing. The results of this study can be used as basic information for catching and exploiting this species in the future.

کلیدواژه‌ها [English]

  • Growth parameters
  • multi-model approach
  • information coefficient
  • C. auratus
1.King, M. (1996). Fisheries Biology Assessment and Management. Fishing News Book. 341p.2.Pitcher, T. J., & Hart P. J. B. (1982). Fisheries Ecology. Croom Helm, London, UK. 414p.3.Mann, R. H. K. (1991). Growth and Production. In: (I.J .9 Winfield & J.S. Nelson J.S. eds.), Cyprinid Fishes; Systematics, Biology and Exploitation. Chapman & Hall, London, UK.
pp: 456-482.4.Haddon, M. (2011). Modelling and Quantitative Methods in Fisheries. Second Edition, Taylor and Francis press. 449 p.5.Katsanevakis, S., & Maravelias, C. D., (2008). Modelling fish growth: multi-model inference as a better alternative to a priori using von Bertalanffy equation. Fish and Fisheries. 9, 178-187.6.Thorson, J. T., & Simpfendorfer, C. A. (2009). Gear selectivity and sample size effects on growth curve selection in shark age and growth studies. Fisheries Research. 98, 75-84.7.Harry, A. V., Andrew, J., & Simpfendorfer, C. A. (2013). Age, growth and reproductive biology of the spot-tail shark, Carcharhinus sorrah, and the Australian blacktip shark, C. tilstoni, from the Great Barrier Reef World Heritage Area, north-eastern Australia. Marine and freshwater research. 64, 277-293.8.Raeisi, H. (2016). Stock assessment and management of Carcharhinus dussumieri (Valenciennes, 1839) by using stochastic modeling from fishing grounds in the Persian Gulf and Oman Sea. Ph.D. Thesis, Hormozgan University, Hormozgan, Iran. [In Persian]
9.Sattari, M., Shahsavani, D., & Shafii, Sh. 2003. Systematic Ichthiology, vol. 2. Rasht, Publication of Haghshenas. 502 p. [In Persian]
10.Karpevitch, A. F. (1975). The theory
and practice of acclimatization of water organisms. IZD Pischevaya Promyshlonnosti, Moscow. 432 p. [In Russian]
11.Razavi Sayad, B. (1999). Introduction to Ecology of the Caspian Sea Iranian. Fisheries Science Research Institute, Tehran, Research Project Report Number: 0-73-12-91116. 90 p. [In Persian]
12.Daryanabard, Gh. R., Shabani, A., Kaymaram, F., & Gorgin, S. (2009). Reproductive and sexual maturity Golden Grey mullet Liza auratus (Risso1810) in Iranian waters of the Caspian Sea. Journal of Agricultural Sciences and Natural Resources,
16 (2): 77-88.13.Abdolmalaki, Sh., & Ghaninejad, D. (2015). Bony Fishes of the Caspian Sea (Biology, Dispersion, Fisheries, Restocking, Strength and Weakness). Iranian Fisheries Science Research Institute, Research Project Report. [In Persian]
14.Statistical Yearbook of Iranian Fisheries, 1400-1395. Planning and Budget Office, Planning and Statistics Department. Tehran Iran. 29 p.15.Abdolmalaki, Sh., Pourghlami, A., Daryanabard, G. R., Bandani, G. A., Khedmati, K., Fazli, H., Nahravar,
M. R., Nikpour, M., Keymaram, F., Parafkandeh, F., & Rastin, R. (2014). Survey on stocks of Caspian Sea mullets (Liza auratus & Liza saliens) in Iranian coastal waters of the Caspian Sea. Bandar Anzali Inland Waters Aquaculture Research Institute, Research Project Report. [In Persian]
16.Thomson, J. M. (1957). Interpretation of the scales of the Yellow-eye mullet, Aldrichetta forsteri (Cuvier & Valenciennes) (Mugilidae). Marine and Freshwater Research, 8 (1), 14-28.17.Hotos, G. N. (2003). A study on the scales and age estimation of the grey golden mullet, Liza auratus (Risso, 1810), in the lagoon of Messolonghi (W. Greece). Journal of Applied Ichthyology, 19 (4), 220-228.18.Froese, R. (2006). Cube law, condition factor and weight-length relationships: history, meta-analysis and recommendations. J. Appl. Ichthyol. 22, 241-253.19.Pauly, D., & Munro, J. L. (1984). Once more on the comparison of growth in fish and vertebrates, ICLARM Fishbyte, 2 (1), 21.20.Burnham, K. P., & Anderson, D. R. (2001). Kullback–Leibler information as a basis for strong inference in ecological studies. Wildlife Research. 28, 111-119.21.King, M. (2007). Fisherises Biology, Assessment and management. Blackwell Scientific Publication. 382 p.22.Zhang, C. I., & Megrey, B. A. (2006). A revised Alverson and Carney model for estimating the instantaneous rate of natural mortality. Transactions of the American Fisheries Society, 135 (3), 620-633.23.Sparre, P., & Venema, S. G. (1998). Introduction to tropical fish stock assessment. Part 1 Manual, FAO Fisheries Technical Paper, No. 306.1, Rome, FAO. 407 p.24.Ghaninejad, D., Abdolmalaki, Sh., & Kuliyev, Z. M. (2010). Reproductive biology of the golden grey mullet, Liza auratus in the Iranian coastal waters of the Caspian Sea. Iranian Journal of Fisheries Sciences, 9 (3), 402-411.25.Kraljević, M., Dulčić, J., Pallaoro, A., & Matić-Skoko, S. (2011). Age and growth determination of the golden grey mullet, Liza auratus (Risso, 1810) from the Adriatic Sea by using scale readings and length frequency analysis. Acta Adriatica, 52 (2), 223-232.26.İlkyaz, A. T., Firat, K., Saka, Ş., & Kinacigil, H. T. (2006). Age, growth, and sex ratio of golden grey mullet, Liza auratus (Risso, 1810) in Homa Lagoon (Izmir Bay, Aegean Sea). Turkish Journal of Zoology, 30 (3), 279-284.27.Wootton, R. J. (2009). Fish Ecology. Springer, 212p.28.Nikolski, G. V. (1969). Theory of Fish Population Dynamics as the Biological Background for Rational Exploration and Management of Fishery Resources. Oliver & Boyd Publication, 1st English Language Edition. 340 p.29.Hajivand, S., Sattari, M., Sajjadi, M. M., & Abdul Maleki, S. (2015). Age structure, growth and mortality rate of golden mullet Liza auratus (Rissa, 1810) in the southwestern shores of the Caspian Sea (Gilan Province). Journal of Applied Fisheries Research. 41-54 (4), 4.30.Porfaraj, V., Karami, M., Nezami, Sh. A., Rafiee, Gh. R., Khara, H., & Hamidoghli, A. 2013. Study of some biological features of Mullets in Iranian coasts of the Caspian Sea. Journal of Utilization and Cultivation of Aquatics, 2 (1), 97-110. [In Persian]
31.Beverton, R. J. H. (1992). Patterns of reproductive strategy parameters in some marine teleost fishes. J. Fish. Biol. 41(supplement B), 137-160.32.Kuliev, Z. M. (1984). Ob izmenchivosti morphometricheskikh priznakov kaspiskoi vobli Rutilus rutilus caspicus (Jakowlew) (Cyprinidae). Voprosi Ikhtiologii. 24 (6), 1984.33.Weatherley, A. H., & Gill, H. S. (1987). The biology of Fish Growth. London: Academic Press Inc. 443 p.34.Aminian Fatideh, B., Bahmani, Z., & Kolbadinejad, A. (2016). Investigating the biological indicators of narrow-nosed mullet (Liza saliens) in the Miankala fishery of the Caspian Sea. Journal of aquaculture exploitation and breeding. 2 (6), 1-9.35.Jenning, S., Kasier, M., & Reynold, J. (2000). Marine Fisheries Ecology. Black well Science. 391p.36.Turkmen, M., Erdogan, O., Haliloglu, H. I., & Yildrim, A. (2001). Age, Growth and reproduction of Acanthalburnus microlepis, Filipi 1863 from the Yagan Region of the Aras River, Turkey. Turkish Journal of Zoology, 25, 127-133.37.Tatar, R. D., Ghorbani, R., Gergin, S., Bandani, G. H., & Yahyai, M. (2017). Evaluation of the exploitation status of the Caspian Sea bream fish (R. caspicus) in the southeast of the Caspian Sea. Scientific Journal of Iranian Fisheries. 27 (4), 67-77.38.Pordelan, A., Raeisi, H., Alijanpour, S., Patimar, R., Haghparast, S., & Bahalkeh, A. (2022). Growth modelling of milk shark, Rhizoprionondon acutus (Ruppel, 1837) from waters of the Persian Gulf and Oman Sea (Hormozgan province). Journal of Applied Ichthyological Research, 10 (1), 38-45. [In Persian]
39.Cardona, L. (1999). Age and growth of leaping grey mullet (Liza saliens (Risso, 1810)) in Minorca (Balearic Islands). Scientia Marina, 2, 93-99.40.Katselis, G., Koutsikopoulos, C., & Kaspiris, P. (2002). Age determination and growth of leaping mullet, (Liza saliens R. 1810) from the messolonghi Etoliko lagoon (western Greece). Mediterranean Marine Science,
2, 147-158.41.Koutrakis, M., & Sinis, A. I. (1994). Growth analysis of grey mullets (Pisces, Mugilidae) as related to age and site. Isr. l J. Zool. 40, 37-53.42.Pauly, D., & David, N. (1981). ELEFAN I, a BASIC program for the objective extraction of growth parameters from Length-Frequency data. Berichte der Deutschen Wissenschaftlichen Kommission fur Meeresforschung, 28 (4), 205-211.