Main Article Content
Abstract
The purpose of this study was to develop a framework to investigate the catch trend and estimation of the optimized catch limit of the Largehead hairtail, Trichiurus lepturus, stock by collecting catch data in the Iranian part of Persian Gulf and Oman Sea. In this research, catch data was collected for 20 years (1997-2018) and the optimized catch limit was estimated using data-limited approach and R Software. The average catch (Ct) for this period was 11550 tonnes (95% confidence interval 11500-11599 tonnes) and it has significantly increased over the past two decades (R=0.68, P<0.05). The intrinsic growth rate (r), carrying capacity (K), maximum sustainable yield (MSY), biomass of maximum sustainable yield (Bmsy), current biomass (B), fishing mortality of maximum sustainable yield (Fmsy) and present fishing mortality (F) were obtained by Catch-maximum sustainable yield (CMSY) models. The results showed that stock of the Largehead hairtail is suffering from over fishing and thereby, reduction of the fishing mortality and exploitation rate and bring back them to the MSY level are essential to save the stock.
Keywords
Fisheries Management
Catch- maximum sustainable yield (CMSY)
Iranian Waters.
Article Details
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., TAGHAVIMOTLAGH, S. A., & DOUSTDAR, M. (2020). Estimation of fisheries reference points of the Largehead hairtail, Trichiurus lepturus (Teleostei: Trichiuridae) in Iranian waters of Persian Gulf and Oman Sea. Iranian Journal of Ichthyology, 7(3), 202–208. https://doi.org/10.22034/iji.v7i3.426
References
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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 69(8): 1491–1500.
Arrizabalaga, H.; Murua, M. & Majkowski, J. 2012. Global status of tuna stocks: summary sheets. Revista de Investigación Marina, AZTI-Tecnalia 19(8): 645-676.
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: 777-786.
FAO. 2017. FAO Global Capture Production database updated to 2015 - Summary information.
FAO. 2018. The State of World Fisheries and Aquaculture- Meeting the sustainable development goals. Rome. Licenses: CC BY-NC-SA 3.0 IGO. 227 p.
Fisheries Statistical Yearbook, Iranian Area. 2018. Fisheries Administration, Council of Agriculture, Executive Tehran. 20 p.
Froese, R.; Zeller, D.; Kleisner, K. & Pauly, D. 2012. What catch data can tell us about the status of global fisheries. Marine Biology 159: 1283-1292.
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, 230–237.
Froese, R.; Demirel, N.; Gianpaolo, C.; Kleisner, K.M. & Winker, H. 2017. Estimating fisheries reference points from catch and resilience. Fish and Fisheries 18(3): 506-526.
Froese, R. & Pauly, D. 2015. FishBase. World Wide Web electronic publication. www.fishbase.org, version. (10/2015), accessed at www.fishbase.org in November/December 2015.
Kamali, A.; Dehghani, R.; Behzadi, S.; Salarpour, A.; Darvishi, M. & Valinasab, T. 2003. Investigating the Status of Horseshoe Fish in Hormozgan Province. Agricultural Research and Training Organization. Institute of Fisheries Research of Iran. 75 p.
Kaschner, K.; Kesner-Reyes, K.; Garilao, C.; Rius-Barile, J.; Rees, T. & Froese, R. 2016. AquaMaps: predicted range maps for aquatic species. World wideweb electronic publication, www.aquamaps.org, Version 08/2016.
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. pp: 35-45.
Martell, S. & Froese, R. 2013. A simple method for estimating MSY from catch and resilience. Fish and Fisheries 14(4): 504-514.
Muus, B.J. & Nielsen, J.G. 1999. Sea fish. Scandinavian Fishing Year Book, Hedehusene, Denmark. 340 p.
Nakamura, I. 1995. Trichiuridae. Peces sables, cintillas. In: W. Fischer, F. Krupp, W. Schneider, C. Sommer, K.E. Carpenter and V. Niem (eds.) Guia FAO para Identification de Especies para lo Fines de la Pesca. Pacifico Centro-Oriental. 3 Vols. FAO, Rome. pp. 1638-1642.
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. 58 p.
Quinn, T.J.; & Deriso, R.B. 1999. Quantitative fish dynamics. Oxford: Oxford University Press.
Riede, K. 2004. Global register of migratory species - from global to regional scales. Final Report of the R&D-Projekt 808 05 081. Federal Agency for Nature Conservation, Bonn, Germany. 329 p.
Taghavimotlagh, S.A. 2010. Population dynamics and biology of largehead hairtail on the coasts of Persian Gulf and Oman Sea. National Institute of Fisheries Research. 87 p.
Taghavimotlagh, S.A. & Shojaei, M. 2017. Production model for management of fish stocks in the Persian Gulf and Oman Sea (Hormozgan Province). Iranian Journal of Fisheries Science 26(6): 93-102.
Zhou, S.; Chen, Z.; Dichmont, C.M.; Ellis, A.N.; Haddon, M.; Punt, A.E.; Smith, A.D.M.; Smith, D.C. & Ye, Y. 2016. Catch-based methods for data-poor fisheries. Report to FAO. CSIRO, Brisbane, Australia. 74 p.
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.
References
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 69(8): 1491–1500.
Arrizabalaga, H.; Murua, M. & Majkowski, J. 2012. Global status of tuna stocks: summary sheets. Revista de Investigación Marina, AZTI-Tecnalia 19(8): 645-676.
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: 777-786.
FAO. 2017. FAO Global Capture Production database updated to 2015 - Summary information.
FAO. 2018. The State of World Fisheries and Aquaculture- Meeting the sustainable development goals. Rome. Licenses: CC BY-NC-SA 3.0 IGO. 227 p.
Fisheries Statistical Yearbook, Iranian Area. 2018. Fisheries Administration, Council of Agriculture, Executive Tehran. 20 p.
Froese, R.; Zeller, D.; Kleisner, K. & Pauly, D. 2012. What catch data can tell us about the status of global fisheries. Marine Biology 159: 1283-1292.
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, 230–237.
Froese, R.; Demirel, N.; Gianpaolo, C.; Kleisner, K.M. & Winker, H. 2017. Estimating fisheries reference points from catch and resilience. Fish and Fisheries 18(3): 506-526.
Froese, R. & Pauly, D. 2015. FishBase. World Wide Web electronic publication. www.fishbase.org, version. (10/2015), accessed at www.fishbase.org in November/December 2015.
Kamali, A.; Dehghani, R.; Behzadi, S.; Salarpour, A.; Darvishi, M. & Valinasab, T. 2003. Investigating the Status of Horseshoe Fish in Hormozgan Province. Agricultural Research and Training Organization. Institute of Fisheries Research of Iran. 75 p.
Kaschner, K.; Kesner-Reyes, K.; Garilao, C.; Rius-Barile, J.; Rees, T. & Froese, R. 2016. AquaMaps: predicted range maps for aquatic species. World wideweb electronic publication, www.aquamaps.org, Version 08/2016.
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. pp: 35-45.
Martell, S. & Froese, R. 2013. A simple method for estimating MSY from catch and resilience. Fish and Fisheries 14(4): 504-514.
Muus, B.J. & Nielsen, J.G. 1999. Sea fish. Scandinavian Fishing Year Book, Hedehusene, Denmark. 340 p.
Nakamura, I. 1995. Trichiuridae. Peces sables, cintillas. In: W. Fischer, F. Krupp, W. Schneider, C. Sommer, K.E. Carpenter and V. Niem (eds.) Guia FAO para Identification de Especies para lo Fines de la Pesca. Pacifico Centro-Oriental. 3 Vols. FAO, Rome. pp. 1638-1642.
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. 58 p.
Quinn, T.J.; & Deriso, R.B. 1999. Quantitative fish dynamics. Oxford: Oxford University Press.
Riede, K. 2004. Global register of migratory species - from global to regional scales. Final Report of the R&D-Projekt 808 05 081. Federal Agency for Nature Conservation, Bonn, Germany. 329 p.
Taghavimotlagh, S.A. 2010. Population dynamics and biology of largehead hairtail on the coasts of Persian Gulf and Oman Sea. National Institute of Fisheries Research. 87 p.
Taghavimotlagh, S.A. & Shojaei, M. 2017. Production model for management of fish stocks in the Persian Gulf and Oman Sea (Hormozgan Province). Iranian Journal of Fisheries Science 26(6): 93-102.
Zhou, S.; Chen, Z.; Dichmont, C.M.; Ellis, A.N.; Haddon, M.; Punt, A.E.; Smith, A.D.M.; Smith, D.C. & Ye, Y. 2016. Catch-based methods for data-poor fisheries. Report to FAO. CSIRO, Brisbane, Australia. 74 p.
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.
Arrizabalaga, H.; Murua, M. & Majkowski, J. 2012. Global status of tuna stocks: summary sheets. Revista de Investigación Marina, AZTI-Tecnalia 19(8): 645-676.
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: 777-786.
FAO. 2017. FAO Global Capture Production database updated to 2015 - Summary information.
FAO. 2018. The State of World Fisheries and Aquaculture- Meeting the sustainable development goals. Rome. Licenses: CC BY-NC-SA 3.0 IGO. 227 p.
Fisheries Statistical Yearbook, Iranian Area. 2018. Fisheries Administration, Council of Agriculture, Executive Tehran. 20 p.
Froese, R.; Zeller, D.; Kleisner, K. & Pauly, D. 2012. What catch data can tell us about the status of global fisheries. Marine Biology 159: 1283-1292.
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, 230–237.
Froese, R.; Demirel, N.; Gianpaolo, C.; Kleisner, K.M. & Winker, H. 2017. Estimating fisheries reference points from catch and resilience. Fish and Fisheries 18(3): 506-526.
Froese, R. & Pauly, D. 2015. FishBase. World Wide Web electronic publication. www.fishbase.org, version. (10/2015), accessed at www.fishbase.org in November/December 2015.
Kamali, A.; Dehghani, R.; Behzadi, S.; Salarpour, A.; Darvishi, M. & Valinasab, T. 2003. Investigating the Status of Horseshoe Fish in Hormozgan Province. Agricultural Research and Training Organization. Institute of Fisheries Research of Iran. 75 p.
Kaschner, K.; Kesner-Reyes, K.; Garilao, C.; Rius-Barile, J.; Rees, T. & Froese, R. 2016. AquaMaps: predicted range maps for aquatic species. World wideweb electronic publication, www.aquamaps.org, Version 08/2016.
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. pp: 35-45.
Martell, S. & Froese, R. 2013. A simple method for estimating MSY from catch and resilience. Fish and Fisheries 14(4): 504-514.
Muus, B.J. & Nielsen, J.G. 1999. Sea fish. Scandinavian Fishing Year Book, Hedehusene, Denmark. 340 p.
Nakamura, I. 1995. Trichiuridae. Peces sables, cintillas. In: W. Fischer, F. Krupp, W. Schneider, C. Sommer, K.E. Carpenter and V. Niem (eds.) Guia FAO para Identification de Especies para lo Fines de la Pesca. Pacifico Centro-Oriental. 3 Vols. FAO, Rome. pp. 1638-1642.
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. 58 p.
Quinn, T.J.; & Deriso, R.B. 1999. Quantitative fish dynamics. Oxford: Oxford University Press.
Riede, K. 2004. Global register of migratory species - from global to regional scales. Final Report of the R&D-Projekt 808 05 081. Federal Agency for Nature Conservation, Bonn, Germany. 329 p.
Taghavimotlagh, S.A. 2010. Population dynamics and biology of largehead hairtail on the coasts of Persian Gulf and Oman Sea. National Institute of Fisheries Research. 87 p.
Taghavimotlagh, S.A. & Shojaei, M. 2017. Production model for management of fish stocks in the Persian Gulf and Oman Sea (Hormozgan Province). Iranian Journal of Fisheries Science 26(6): 93-102.
Zhou, S.; Chen, Z.; Dichmont, C.M.; Ellis, A.N.; Haddon, M.; Punt, A.E.; Smith, A.D.M.; Smith, D.C. & Ye, Y. 2016. Catch-based methods for data-poor fisheries. Report to FAO. CSIRO, Brisbane, Australia. 74 p.
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.