Article Sidebar

Download
PDF
Statistic
Read Counter : 56 Download : 48

Downloads

Download data is not yet available.

Main Article Content

Abstract

This research looked at the basic information about Thunnus albacares found in the northern part of Oman's Sea, and give useful information on how correctly manage of this resource. During the years of this study) 1992 and 2022(, over 6000 fish were measured and the average length (range) of Yellowfin tuna fish in 1992 and 2022 was 93±26 (21-157) cm and 77±18 (24-175) cm, respectively. The average weight (range) of this species was 9127±1251 (3500-55000) grams in 1992 and 10639±1450 (1100-85000) grams in 2022. The relationship between fork length and total body weight for the year 1992, W=0.014×L2.51 (R2=0.83, N=750) and the year 2022, W=0.019×L2.46 (R2=0.89, N=703) was obtained. Vonbertalanffy equation for this species in the northern waters of the Oman Sea (Iran) was calculated in 1992 and 2022 respectively as: Lt= 182 (1-exp (-0.39 (t +0.25)) and Lt= 177(1-exp (-0.55 (t +0.18))). The ratio of spawning potential based on length (LBSPR) in 1992 and 2022 were 0.22 (0.20-0.25) and 0.10 (0.09-0.12), respectively. Based on ratio of Pmega < 0.1, Lmean/ Lopt <1 and Lmean /LF=M <1 show considered undesirable. Decrease of the average length, LBSPR index and increase of fishing and total mortality can be a reason for overfishing. The present study showed that the Yellowfin tuna stock has reached 'overfished' status. The findings of this study can assist management and sustainable harvest of this species stocks.

Keywords

Overfishing Spawning potential ratio Vonbertalanffy equation Sustainable harvest

Article Details

License
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The authors transfer the copyrights of their papers to the Iranian Society of Ichthyology. However, the information could be used in accordance with the Creative Commons licence (Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

How to Cite
HASHEMI, S. A., DARVISHI, M., KESHAVARZIFARD, M., & DOUSTDAR, M. (2023). Changes in length-base demographic parameters of Yellowfin tuna (Thunnus albacares Bonnaterre, 1788) during two periods of time in the northern waters of the Oman Sea. Iranian Journal of Ichthyology, 10(2), 138–149. https://doi.org/10.22034/iji.v10i2.967
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX

References

  1. Bartulovic, V.; Glamuzina, B.; Conides, A.; Dulcic, J.; Lucic, D.; Njire, J. & Kozul, V. 2004. Age, Growth, Mortality and Sex Ratio of Sand Smelt, Atherinaboyeri, Risso, 1810 (Pisces: Atherinidae) in the Estuary of the Mala Neretva River (Middle-Eastern Adriatic, Croatia). Journal of Applied Ichthyology 20(1): 427-430.
  2. Beverton, R.J.H. & Holt, S.J. 1957. On the Dynamics of Exploited Fish Populations. Ministry of Agriculture, Fisheries and food, London (republished by Chapman and Hall, 1993).
  3. Biswas, S.P. 1993. Manuel of methods in fish biology, fish biology & Ecology laboratory, Dibruyarh University, Dibrugarh. 157 p.
  4. Carruthers, T.R. & Hordyk, A. R. 2018. The Data‐Limited Methods Toolkit (DLM tool): An R package for informing management of data‐limited populations. Methods in Ecology and Evolution 9(12): 2388-2395.
  5. Chantawong, P. 1998. Tuna fisheries in the East Indian Ocean, 1993-1998. Working paper TWS/98/1/9 presented to 7th Expert Consultation on Indian Ocean Tunas, 9-14 November, Victoria, Seychelles.
  6. Cheung, W.; Pitcher, T. & Pauly, D. 2004. A fuzzy logic expert system to estimate intrinsic extinction vulnerabilities of marine fishes to fishing. Biological Conservation 124(97-111).
  7. Collette, B.B. & Nauen, C.E. 1983. FAO species catalogue. Vol. 2. Scombrids of the world. An annotated and illustrated catalogue of tuna, mackerel’s bonitos and related species known to date. FAO Fish. Synop., (125) Vol. 2:137 p.
  8. Cope, J.M. & Punt, A.E. 2009. Length-Based Reference Points for Data-Limited Situations: Applications and Restrictions. Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science 1: 169-186.
  9. Cousido-Rocha, M.; Cervi˜no, S.; Alonso-Fern´andez, A.; Gil, J.; Gonz´alezHerraiz, I.; Rinc´on, M.; Ramos, F.; Rodríguez-Cabello, C.; Sampedro, P.; Vila, P. & Grazia Pennino, P. 2022. Applying length-based assessment methods to fishery resources in the Bay of Biscay and Iberian Coast ecoregion: Stock status and parameter sensitivity. Fisheries Research 248(1): 1-15.
  10. FAO. 2019. FAO Yearbook. Rome: Fishery and Aquaculture Statistics, 20 p.
  11. FAO. 2022. The State of World Fisheries and Aquaculture 2022. Towards Blue Transformation. Rome, FAO.
  12. Froese, R. & Binohlan, C. 2000. Empirical relationships to estimate asymptotic length, length at first maturity and length at maximum yield per recruit in fishes, with a simple method to evaluate length frequency data. Journal of Fish Biology 56(4): 758-773.
  13. Froese, R. & Pauly, D. eds., 2022. FishBase. World Wide Web electronic publication. www.fishbase.org, version. (10/2022), accessed at www.fishbase.org in November/December 2022.
  14. Froese, R.; Winker, H.; Gascuel, D.; Sumaila, U. R.; & Pauly, D. 2016. Minimizing the impact of fishing. Fish and Fisheries 17(3): 785-802.
  15. Haruna, A.; Mallawa, A.; Musbir, M. & Zainuddin, M. 2018. Population dynamic indicator of the Yellowfin tuna Thunnus albacares and its stock condition in the Banda Sea, Indonesia. AACL Bioflux 11(4), 1323-1333.
  16. Hashemi, S.; Doustdar, M.; Ghasemzade, J. & Gholampor, A. 2021. Length-based fishery status of skipjack tuna, Katsuwonus pelamis (Linnaeus, 1758) (Teleostei: Scombridae: Scombrinae) in the northern waters of the Oman Sea (Iran). Iranian Journal of Ichthyology 8(3): 160-169.
  17. Hashemi, S.A.R. & Doustdar, M. 2022. Stock Assessment of Indo-Pacific King Mackerel, Scomberomorus guttatus (Bloch & Schneider, 1801) in the Persian Gulf and Oman Sea, southern Iranian waters, using CMSY and DBSRA. International Journal of Aquatic Biology 10(1): 12-20.
  18. Hashemi, S.A.R.; Doustdar, M. & MohebiDerakhsh, P. 2022. Stock assessment of Yellowfin tuna, Thunnus albacares (Bonnaterre, 1788) using the LBB and LB-SPR methods in the northern Oman Sea, Iran. International Journal of Aquatic Biology 11(4): 313-320.
  19. Hashemi, S.A.R.; Doustdar, M.; Gholampour, A. & Khanehzaei, M. 2020. Length-based fishery status of yellowfin tuna (Thunnus albacares Bonnaterre, 1788) in the northern waters of the Oman Sea. Iranian Journal of Fisheries Sciences 19(6): 2790-2803.
  20. Hordyk, A.; Ono, K.; Valencia, S.; Loneragan, N. & Prince, J. 2015. A novel length-based empirical estimation method of spawning potential ratio (SPR), and tests of its performance, for small-scale, data-poor fisheries. ICES Journal of Marine Science 72: 217-231.
  21. IFO. 2019. Iran Fisheries Organization (IFO). Bureau of Statistics; Yearbook of Fisheries Statistics. 25 p.
  22. IOTC, 2020. Report of the 24th Session of the Indian Ocean Tuna Commission. IOTC–2020–SC23–R[E], 55 p.
  23. Jenning, S.; Kasier, M. & Reynold, J. 2000. Marine Fisheries Ecology. Black well Science. 391 p.
  24. John, M.E. & Reddy, K.S.N. 1989. Some considerations on the population dynamics of yellowfin tuna, Thunnus albacares (Bonnaterre) in Indian Seas. Studies on fish stock assessment in Indian waters. Foreign Service Institute Special Publication 2: 33- 54.
  25. Kaymaram, F.; Emadi, H. & Kiabi, B. 2000. 2nd IOTC proceedings, Victoria, pp. 23-27 September, Seychelles pp. 283-285.
  26. Kaymaram, F.; Hosseini, A.; Darvishi, M. & Talebzadeh, A. 2009. Report on the Study of Population Changes of large pelagic fish (yellowfin tuna, skipjack tuna, longtail tuna, narrow-barred Spanish mackerel, etc.) for optimal harvesting of resources in the Persian Gulf and Oman Sea. Iranian Fisheries Science and Research Institute in collaboration with Chabahar Offshore Fisheries Research Center and Persian Gulf and Oman Sea Ecological Research Institute, 126 p.
  27. Kaymaram, F.; Hosseini, S.A. & Darvishi, M. 2014. Estimates of Length-Based Population Parameters of yellowfin tuna (Thunnus albacares) in the Oman Sea. Turkish Journal of Fisheries and Aquatic Sciences 14(1): 101-111.
  28. King, M.G. 2007. Fisheries biology assessment and management. Second edition published by Blackwell Publishing Ltd., ISBN. 978-1-4051-5831-2, pp. 189-194.
  29. Lalèyè, P.A. 2006. Length-weight and length-length relationships of fish from the Ouémé River in Bénin (West Africa). Journal of Applied Ichthyology 22(4): 330-333.
  30. Maldeniya, R. & Joseph, L. 1986. On the distribution and biology of yellowfin tuna from the western and southern coastal waters of Sri Lanka. Collective Volume of working documents presented at the Expert Consultation on Stock Assessment of Tunas in the Indian Ocean, held in Colombo, Sri Lanka: 28 Nov.-2 Dec. 1985. 51-61.
  31. Mallawa, A.; Amir, F.; Musbir, A. & Susianti W. 2015. Assessment of Katsuwonus pelamis conditions in Flores Sea waters, South Sulawesi. Proceedings of the National Symposium on Marine and Fisheries II, pp. 299-307, Hasanuddin University Press, 513 p. [In Indonesian].
  32. Mateus, A. & Estupina, B. 2002. Fish stock assessment of Piraputanga (Brycon microlepis) in the Cuiaba Basin. Brazilian Journal of Biology 62: 165-170.
  33. Mildenberger, T. K.; Taylor, M. H. & Wolff, M. 2017. TropFishR: An R package for fisheries analysis with length-frequency data. Methods in Ecology and Evolution, 8: 1520–1527.
  34. Nurdin, E.; Sondita, M. F. A.; Yusfiandayani, R. & Baskoro, M. S. 2016. Growth and mortality parameters of yellowfin tuna (Thunnus albacares) in Palabuhanratu waters, west Java (eastern Indian Ocean). AACL Bioflux 9(3): 741-747.
  35. Pillai, P.P.; Pillai, N.G.; Muthiah, C.; Yohannan. T.M.; Mohamad kasim, H.; Gopakumar, G.; SaidKoya, K.P.; Manojkumar, M.; Sivads, M.; Nasser, A.K.V.; Ganga, U.; Dhokia, H.K.; Kemparaju, S.; Bhaskaran, M.N.K.; Elayathu, M. N. K.; Balasubramaniam, T.; Manimaran, C.; Kunhikoya, V.A. & Ajith Kumar, T.T. 2002. Stock assessment of coastal tuna in the Indian seas. In: N.G.K. Pillai, N.G. Menon, P.P. Pillai, and U. Ganga, (Eds.) Management Scombroids Fisheries, Central Marine Fishery Research Institute, Kochin.pp. 240-250.
  36. Prathibha, R.; Syda Rao, G. & Rammohan, K. 2012. Age, growth and population structure of the yellowfin tuna Thunnus albacares (Bonnaterre, 1788) exploited along the east coast of India. Indian Journal of Fisheries 59(1): 1-6.
  37. Ramalingam, A.B.; Kar, L.; Govindaraj, K. & Prasad, G.V.A. 2012. Study of the growth and population parameters of yellowfin tuna (Thunnus albacares) in the Andaman and Nicobar waters based on the length frequency data. Report of14th IOTC proceedings. 24– 29 October. Mauritius: 17 p.
  38. Shi, Y.; Zhang, X.; He, Y.; Fan, W. & Tang, F. 2022. Stock Assessment Using Length-Based Bayesian Evaluation Method for Three Small Pelagic Species in the Northwest Pacific Ocean. Frontiers in Marine Science 9: 775180.
  39. Somvanshi, V.S.; Bhargava, A.K.; Gulati, D.K.; Varghese, S. & Varghese, S.P. 2003. Growth parameters estimated for yellowfin tuna occurring in the Indian EEZ. 6th IOTC proceedings. Victoria, 3-12 June, Seychelles, 191-193.
  40. Sparre, P. & Venema, S. C. 1998. Introduction to tropical fish stock assessment, FAO Fisheries technical paper, Roma, 450 p.
  41. Tantivala, C. 2000. Some biological study of yellowfin tuna (Thunnus albacares) and bigeye tuna (Thunnus Obesus) in the eastern Indian Ocean. 2nd IOTC proceedings. Victoria, 23-27 September, Seychelles, pp. 436-440.
  42. Then, A.Y.; Hoenig, J.M.; Hall, N.G.; Hewitt, D.A. & Handling editor: Ernesto, J. 2015. Evaluating the predictive performance of empirical estimators of natural mortality rate using information on over 200 fish species. ICES Journal of Marine Science 72(1): 82-92.
  43. Vivekanandan, E. 2005. Stock assessment of tropical marine fishes. Indian Council of Agricultural Research, New Delhi, 115 p.
  44. Zar, J.H. 1996. Biostatistical analysis. 3rd edition. Prentice-Hall Inc., New Jersey, USA. 662 p.
  45. Zhou, S.; Punt, A. E.; Smith, A. D. M.; Ye, Y.; Haddon, M.; Dichmont, C. M. & Smith, D. C. 2017. An optimized catch-only assessment method for data poor fisheries. ICES Journal of Marine Science 75(3): 964-976.