Main Article Content
Abstract
This study presents a length-based stock assessment of Wahoo (Acanthocybium solandri) in the northern Oman Sea, revealing critical overexploitation signals. Biological data from 415 Wahoo specimens collected between 2021 and 2024 in the northern Oman Sea were analyzed using bootstrapped ELEFAN approaches. The present study provides key growth and mortality parameters for Wahoo (A. solandri) in the Oman Sea (Iran), estimated using the bootstrapped ELEFAN_SA approach. The asymptotic length (L∞) was 170 (range: 146–181cm), with a growth coefficient (K) of 0.26 yr⁻¹ (range: 0.17–0.54yr⁻¹) and a theoretical age at zero length (t₀) of -0.72yr (range: 0.06–1.03yr). The growth performance index (Φ′) was 3.91 (range: 3.76–4.11), indicating consistent growth characteristics. The ensemble natural mortality rate, integrating estimates from nine independent methods, yielded a mean (±SD) of 0.35±0.13 year⁻¹ (95% CI: 0.27–0.43), while fishing mortality (F) was considerably higher at 1.20yr⁻¹, leading to a total mortality (Z) of 1.55±0.22yr⁻¹. The exploitation rate (E= F/Z) was 0.77, suggesting that the Wahoo population in this region is under fishing pressure, potentially nearing overexploitation. These findings highlight the need for improved fisheries management to ensure sustainable stock levels. The SPR, B/B0, B/BMSY and F/FMSY indices with uncertainty estimates calculated using bootstrap for Wahoo (A. solandri) in the northern Oman Sea 0.45 (95% CI: 0.35-0.55), 0.56(95% CI: 0.42-0.69), 1.10(95% CI: 0.90-1.30) and 3.42(95% CI: 2.82-4.01), respectively. The results indicate severe overexploitation, with an exploitation rate (E= 0.81) and F/FMSY ratio (3.42) significantly exceeding sustainable thresholds. Immediate management interventions—including fishing effort reduction, strengthened Monitoring, Control and Surveillance (MCS) systems, and implementation of ecosystem-based fisheries management (EBFM)—are urgently required to comply with global sustainability targets, particularly SDG 14.4. Proactive measures are essential to restore the stock, safeguard marine biodiversity, and ensure the long-term viability of fisheries-dependent communities in the region. This assessment establishes the first comprehensive baseline for Wahoo management in the northern Oman Sea, demonstrating the efficacy of length-based methods for data-poor fisheries while underscoring the necessity of regional cooperation to facilitate species recovery.
Keywords
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References
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References
Alverson, D.L. & Carney, M.J. 1975. A graphic review of the growth and decay of population cohorts. ICES Journal of Marine Science 36(2): 133-143.
Amini Rad, T. 2018. Stock assessment and determination of distribution pattern of dominant Babylonia snail species in coastal waters of Sistan and Baluchestan Province. Iranian Fisheries Science Research Institute - Offshore Fisheries Research Center (Chabahar). 155 p.
Anderson, S.C.; Branch, T.A.; Ricard, D. & Lotze, H.K. 2012. Assessing global marine fishery status with a revised dynamic catch-based method and stock-assessment reference points. Journal of Marine Science 1(2): 20-26.
Arrizabalaga, H.; Murua, M. & Majkowski, J. 2012. Global status of tuna stocks: summary sheets. Revista de Investigación Marina, AZTI-Tecnalia 19(8): 645–676.
Bartulovic, V.; Glamuzina, B.; Conides, A.; Dulcic, J.; Lucic, D.; Njire, J. & Kozul, V. 2004. Age, growth, mortality and sex ratio of sand smelt, Atherina boyeri, Risso, 1810 (Pisces: Atherinidae) in the estuary of the Mala Neretva River (Middle-Eastern Adriatic, Croatia). Journal of Applied Ichthyology 20: 427-430.
Brodziak, J.; Ianelli, J.; Lorenzen, K. & Methot, R.D. 2011. Estimating natural mortality in stock assessment applications. NOAA Technical Memorandum NMFS-F/SPO-119, 38 p.
Branch, T.A.; Jensen, O.P.; Ricard, D.; Ye, Y. & Hilborn, R. 2011. Contrasting global trends in marine fishery status obtained from catches and from stock assessments. Conservation Biology 25(1): 777-786.
Castellano-Mendez, M.; Gonzalez-Manteiga, W.; Febrero-Bande, M.; Prada-Sanchez, J. M. & Lozano-Calderon, R. 2004. Modelling of monthly and daily behavior of the run off the Xallas River using Box-Jenkins and neural networks methods. Journal of Hydrology 296: 38-58.
Chen, S. & Watanabe, S. 1989. Age dependence of natural mortality coefficient in fish population dynamics. Nippon Suisan Gakkaishi 55(2): 205-208.
Chen, Y.; Song, L.; Liu, Y.; Yang, L. & Li, D. 2020. A review of the artificial neural network models for water quality prediction. Applied Sciences 10(5776): 2-49.
Cheung, W.W.L.; Reygondeau, G. & Frölicher, T. L. 2016. Large benefits to marine fisheries of meeting the 1.5°C global warming target. Science 354(6319): 1591-1594.
Collette, B.B. & Nauen, C.E. 1983. FAO Species Catalogue. Vol. 2. Scombrids of the World. An annotated and illustrated catalogue of tunas, mackerels, bonitos and related species known to date. Rome: FAO. FAO Fish. Synop. 125(2): 137.
DiCiccio, T.J. & Efron, B. 1996. Bootstrap confidence intervals. Statistical Science 11(3): 189-212.
Dietterich, T.G. 2000. Ensemble methods in machine learning. In: Multiple Classifier Systems. MCS 2000. Lecture Notes in Computer Science. Springer, Berlin, Heidelberg, 1857.
Dowling, N.A.; Wilcox, C.; Mangel, M. & Pascoe, S. 2019. Assessing opportunity and flexibility in data-limited fisheries. Fish and Fisheries 20(2): 198-214.
Eagderi, S.; Mouludi-Saleh, A.; Fricke, R.; Alavi-Yeganeh, M. S.; Mousavi-Sabet, H. & Çiçek, E. 2026. Fishes of the Sea of Oman. Iranian Journal of Ichthyology, 13 (Special Issue): 1-152.
FAO. 2024. The State of World Fisheries and Aquaculture 2022 - Meeting the sustainable development goals. Rome. 227 p.
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: 758-773.
Froese, R.; Demirel, N. & Sampang, A. 2015. An overall indicator for the good environmental status of marine waters based on commercially exploited species. Marine Policy 51(1): 230-237.
Froese, R.; Demirel, N.; Gianpaolo, C.; Kleisner, K.M. & Winker, H. 2016. Estimating fisheries reference points from catch and resilience. Fish and Fisheries 18(3): 506-526.
Froese, R.; Winker, H.; Coro, G.; Demirel, N.; Tsikliras, A.C.; Dimarchopoulou, D.; Scarcella, G.; Probst, W.N.; Dureuil, M. & Pauly, D. 2019. Estimating stock status from relative abundance and resilience. ICES Journal of Marine Science 77(2): 527-538.
Froese, R. & Pauly, D. eds. 2024. FishBase. World Wide Web electronic publication. www.fishbase.org, version (10/202024), accessed at www.fishbase.org in November/December 2015.
Gabriel, W.L. & Mace, M.M. 1999. A review of biological reference points in the context of the precautionary approach. 5th NMFS NSAW. NOAA Tech. Memo. NMFS-F/SPO-40: 35-45.
Gislason, H.; Daan, N.; Rice, J. C. & Pope, J. G. 2010. Size, growth, temperature and the natural mortality of marine fish. Fish and Fisheries 11(2): 149-158.
Han, Q.; Shan, X.; Jin, X.; Gorfine, H.; Yang, T. & Su, C. 2021. Data-limited stock assessment for fish species devoid of catch statistics: Case studies for Pampus argenteus and Setipinna taty in the Bohai and Yellow Seas. Frontiers in Marine Science 8: 766499.
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.
Hewitt, D.A. & Hoenig, J.M. 2005. Comparison of two approaches for estimating natural mortality based on longevity. Fishery Bulletin 103(2): 433-437.
Hilborn, R.; Hively, D.; Baker Loke, N.; de Moor, C.L.; Kurota, H.; Kathena, J.; Mace, P. M.; Minto, C.; Parma, A. M.; Quiroz, L.C. & Melnychuk, M. 2021. Global status of groundfish stocks. Fish and Fisheries 1(1): 22-911-928.
Hogarth, W.T. 1976. Life-history aspects of the wahoo Acanthocybium solandri (Cuvier and Valenciennes) from the coast of North Carolina. PhD Dissertation. North Carolina State University, Raleigh, NC, USA.
Hoenig, J.M. 1983. Empirical use of longevity data to estimate mortality rates. Fishery Bulletin 82(1): 898-903.
ICES. 2021. Workshop on Data-Limited Methods (WKLIFE). ICES Scientific Reports 3: 53. 194 p.
ICES. 2023. ICES (International Council for the Exploration of the Sea) Advice on Fishing Opportunities. Available at: https://www.ices.dk/ . Available at: https://academic.oup.com/icesjms.
Iranian Fisheries Organization (IFO). 2024. Statistics Department; Fisheries Statistical Yearbook. 25 p. (In Persian)
James, G.; Witten, D.; Hastie, T. & Tibshirani, R. 2021. An introduction to statistical learning: With applications in R (2nd ed.). Springer.
Jayakody, D. 1991. Fishery, population dynamics and breeding biology of Panulirus homarus on the south coast of Sri Lanka. Theses from Faculty of Natural Sciences legacy departments, University of Stirling. 381 p.
Karp, M.A.; Peter, K.; Kristan, B.; Jon, B.; Felipe, C.; Kiersten, C.E.J. Dick; Dana, H.; Daniel, H.; James, I.; Skyler, S.; Kyle, S. & Ian, T. 2022. Common model diagnostics for fish stock assessments in the United States. NOAA Tech. Memo. NMFS-F/SPO-240A, 27 p.
Kindong, R.; Gao, C. & Tian, S. 2020. Achille Pandong, Qiuyun Ma, Feng Wu & Ousmane Sarr. 2020. Stock status assessments of five small pelagic species in the Atlantic and Pacific Oceans using the Length-Based Bayesian Estimation (LBB) Method. Frontiers in Marine Science 7: 592082.
Kindong, R.; Wu, F.; Sarr, O.; Dai, L.; Tian, S. & Dai, X. 2022. Life history of wahoo, Acanthocybium solandri, in the Tropical Eastern Atlantic Ocean – the importance of applying a suite of methods for fisheries assessment in data-limited situations. Oceanological and Hydrobiological Studies 51(1): 115-132.
Kishore, R. & Chin, X. 2001. Age and growth studies at the CFRAMP/IMA regional age and growth laboratory progress of work done and future approaches. In: SinghRenton, S. (Ed.), CARICOM Fishery Report 9, CARICOM Fisheries Unit, Belize City, Belize, pp. 74-89.
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: 502-510.
Lee, T.M. 2008. Estimation of life history parameters, biological reference points, and associated uncertainties for wahoo (Acanthocybium solandri) in the waters off eastern Taiwan. Master’s thesis, National Taiwan University.
Mashaii, N. 1999. Investigation of commercial exploitation status of spiny wahoo in Sistan and Baluchestan waters. Offshore Fisheries Research Center - Chabahar. 163p. (In Persian)
Mashaii, N.; Rajabipour, F.; Shakouri, A. & Khoddami, S. 2013. An investigation on some ecological aspects of the rock wahoo, Panulirus homarus in Ramin area, south east of Iran. Journal of Marine Science and Technology Research 7(4): 22–34.
Martell, S. & Froese, R. 2013. A simple method for estimating MSY from catch and resilience. Fish and Fisheries 14(4): 504-514.
McBride, R.S.; Richardson, A.K. & Maki, K.L. 2008. Age, growth, and mortality of wahoo, Acanthocybium solandri, from the Atlantic coast of Florida and the Bahamas. Marine and Freshwater Research 59(9): 799-807.
NOAA. 2023. Fish Stock Sustainability Index (FSSI): Status of U.S. Fisheries. National Oceanic and Atmospheric Administration.
Palomares, M.L.D. & Froese, R. 2017. Training on the use of CMSY for the assessment of fish stocks in data-poor environments. Workshop report submitted to the GIZ by Quantitative Aquatics, Inc. Q-quatics Technical Report No. 2. Bay, Laguna, Philippines. p. 58.
Pauly, D. 1980. On the interrelationships between natural mortality, growth parameters, and mean environmental temperature in 175 fish stocks. ICES Journal of Marine Science 39(2): 175-192.
Pauly, D. & Lam, V.W.Y. 2016. Chapter 6.1: The Status of fisheries in large marine ecosystems. In: IOC-UNESCO and UNEP (2016). Large marine ecosystem: Status and trends. United Nations Environmental Programme, Nairobi, pp. 113-137.
Phillips, B.F. & Melville-Smith, R. 2006. Panulirus species: Chapter 11. In: Wahoos: Biology, management, aquaculture and fisheries (BF Phillips ed), Blackwell Scientific Publications, Oxford, pp. 359-384.
Phillips, F.B. 2006. Wahoos: Biology, management, aquaculture and fisheries. Blackwell Publishing Ltd. First edition. 536p.
Phillips, F.B. 2013. Wahoos: Biology, management, aquaculture and fisheries. Blackwell Publishing Ltd. Second edition. 503p.
Psomadakis, P.N.; Osmany, H.B. & Moazzam, M. 2015. Field Identification Guide to the Living Marine Resources of Pakistan. FAO Species Identification Guide for Fishery Purposes. FAO Rome Italy. 386p.
Prince, J.D.; Hordyk, A. & Valencia, S.R. 2015. Revisiting the concept of data-limited fisheries. Fish and Fisheries 16(4): 518-530.
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