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Abstract
The length-Based Spawning Potential Ratio (LB-SPR) model and Length Based Indicators (LBI) were applied to describe the stock status of Bullet tuna, Auxis rochei in the Oman Sea. From April 2021 to March 2022, a total of 254 specimens were collected from fish landing sites monthly, and their length (FL) and weight were measured. The maximum length recorded for this species in the area was 43 cm FL with mean length of 32±4cm. The relationship between length and weight was calculated as, W= 0.0095×L3.12 (R2= 0.92). The t –test showed not significant differences between estimated b and b= 3 at the level of 0.05 (P>0.05), which means Isometric growth pattern for Bullet tuna species in the northern waters of the Oman Sea. Length Based Indicators (LBI) of Bullet tuna catches were (Linf= 45cm, Lopt= 28cm, LF=M= 25cm, Lmat= 32cm). Also, length-based reference point was percentage of mature fish in the catch (Lmat= 32cm, Pmat= 0.85), percentage of fish caught at the optimum length for harvest (Lopt= 28 cm, Popt=0.19), and percentage of mega-spawners in the catch (Lmega= 40cm, Pmega= 0.26) and Pobj= 1.79, respectively. Based on ratio of the Pobj value is >1, Pmega>0.1, Lmean/Lopt> and Lmean/LF=M>1 show considered desirable. The range of annual SPR for Bullet tuna stock in the Oman sea (Iranian waters), estimated to be 0.66 (0.56-0.79) which is upper than the threshold value 0.2. Based on time series analysis of SPR, it means that the study indicated that Bullet tuna stock exploitation ratio in Iranian southern waters (Oman Sea) is below sustainable levels (under exploitation/green color), suggesting the need to increase exploitation ratio and fishing effort.
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References
- Agustina, B.; Ariasari, A.; Satriyo, T. & Eko Setyobudi, E. 2023. Food Preference of Bullet Tuna (Auxis rochei
- Risso, 1810) in Prigi Coast of Trenggalek Regency, East Java. Journal of Tropical Biodiversity and Biotechnology 8(1): 1-11.
- Asrial, E.; Arapat, Y.; Hadi, U. K.; Kalih, L. A.; Liliyanti, M. A.; Rosadi, E.; Khasanah, R. I. &
- Rathnayake,I.N. 2021a. The Length-Weight Relationship and Condition Factors of Bullet Tuna Landed at the Tanjung Luar Fishing Port, Indonesia. Journal of Ilmiah Perikanan Dan Kelautan 13(1): 1-10.
- Asrial, E.; Fathurriadi, Y.; Hadi, U.K.; Kalih, L.A.T.T.W.S.; Rizal, L.S.; Liliyanti, M.A.; Rosadi, E.; Khasanah, R.I.; Setyohadi, D.; Junaidi, M. & Rathnayake, I.N. 2021b. Population Dynamics of Bullet Tuna (Auxis rochei Risso1881) from the Indian Ocean, West Nusa Tenggara, Indonesia. Jurnal Ilmiah Perikanan dan Kelautan 13(2): 116-123.
- Beverton, R. & Holt, S. 1959. A review of the lifespans and mortality rates of fish in nature, and their relation to growth and other physiological characteristics in: CIBA Foundation colloquia on ageing: Wiley Online Library pp. 142-180.
- Bök, T. & Oray, K. 2001. Age and growth of bullet tuna Auxis rochei (Risso, 1810) in Turkish waters. Collective Volume of Scientific Papers ICCAT 52(1): 708-718.
- Buchanan, J.R.; Ralph, G.M.; Krupp, F.; Harwell, H.; Abdallah, M.; Abdulqader, E. 2019. Regional extinction risks for marine bony fishes occurring in the Persian/Arabian Gulf. Biological Conservation 230(1): 10-19.
- 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.
- 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(1): 169-186.
- Dowling, N.A.; Smith, A.D.; Smith, D.C.; Parma, A.M.; Dichmont, C.M. & Sainsbury, K. 2019. Generic solutions for data‐limited fishery assessments are not so simple. Fish and Fisheries 20(1): 174-188.
- Expósito, P.M. 2015. Assessing the atmospheric oscillations effects on the biology of the bullet tuna (Auxis rochei) and its possible linkage with global warming. Ph.D. thesis.
- FAO 1999. The Strategic Framework for FAO, 2000-2015. Food and Agriculture Organization of the United Nations. 5p.
- Froese, R. 1998. Length-weight relationships for 18 less-studied Fish Species. Journal Name 14(2): 117-118.
- Froese, R. & Pauly, D. 2024. FishBase. World Wide Web electronic publication. www.fishbase.org, (02/2024).
- Goodyear, C.P. 1993. Spawning stock biomass per recruit in fisheries management: foundation and current use. Canadian Special Publication of Fisheries and Aquatic Sciences, pp. 67-82.
- Halim, A.; Wiryawan, B.; Loneragan, N.R.; Hordyk, A.; Sondita, M.F.A. & White, A.T. 2019. Developing a functional definition of small-scale fisheries in support of marine capture fisheries management in Indonesia. Marine Policy 100(1): 238-248.
- Harrison, T.D. 2001. Length-weight relationships of fishes from South African estuaries. Journal Name 17(1): 46-48.
- Hicks, C.C. & McClanahan, T.R. 2012. Assessing gear modifications needed to optimize yields in a heavily exploited, multi-species, seagrass and coral reef fishery. PLoS One 7(5): e36022.
- Hommik, K.; Fitzgerald, C.J.; Kelly, F. & Shephard, S. 2020. Dome-shaped selectivity in LB-SPR: length-based assessment of data-limited inland fish stocks sampled with gillnets. Fisheries Research 229(2): 105574.
- Hordyk, A.; Ono, K.; Sainsbury, K.; Loneragan, N. & Prince, J. 2015a. Some explorations of the life history ratios to describe length composition, spawning-per-recruit, and the spawning potential ratio. ICES Journal of Marine Science 72(1): 204-216.
- Hordyk, A.; Ono, K.; Valencia, S.; Loneragan, N. & Prince, J. 2015b. 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(1): 217-231.
- IOTC. 2017. Bullet Tuna: Supporting Information, in Indian Ocean Tuna Commission, viewed 31 Agustus 2020, from https://iotc.org/ node/3379#nt
- IOTC. 2019. Report of The 9th Session of The IOTC Working Party on Neritic Tunas. Mahe, Seychelles, 1-5 July 2019. IOTC –2019–WPNT09–R[E], pp.1-80
- Jasmine, S.; Rohit, P.; Abdussamad, E.M.; Said Koya, K.P.; Joshi, K.K.; Kemparaju, S.; Prakasan, D.; Elayathu, M.N.K. & Sebastine, M. 2013. Biology and fishery of the bullet tuna, Auxis rochei (Risso, 1810) in Indian waters. Indian Journal of Fisheries 60(2): 13-20.
- Kahraman, A.E.; Göktürk, D. & Karakulak, F.S. 2011. Age and growth of bullet tuna, Auxis rochei (Risso), from the Turkish Mediterranean coasts. African Journal of Biotechnology 15(1): 3009-3013.
- Lart, W.B. 2019. Guide to Data-limited stock assessment. Sea Fish Industry Authority, 20 p.
- Lelono, T. & Bintoro, G. 2019. Population dynamics and feeding habits of Euthynnus affinis, Auxis thazard, and Auxis rochei in South Coast of East Java waters. The 2nd International Symposium on Marine Science and Fisheries (ISMF2) – 2019. IOP Conf. Series: Earth and Environmental Science 370(2019): 012054.
- Mace, P.M. 1994. Relationships between common biological reference points used as thresholds and targets of fisheries management strategies. Canadian Journal of Fisheries and Aquatic Sciences 51(1): 110-122.
- Macías, D.; Lema, L.; Gómez-Vives M.J. & de la Serna, J.M. 2006. A preliminary approach to the bullet tuna (Auxis rochei) fecundity in the Spanish Mediterranean. Collective Volume of Scientific Papers ICCAT 59(2): 571-578.
- Ollé-Vilanova, J. 2022. Larval Retention and Homing Behaviour Shape the Genetic Structure of the Bullet Tuna (Auxis rochei) in the Mediterranean Sea. Fishes 7(5): 300.
- Prince, J. 2017. Length based assessment of the spawning potential of reef fish from iQoliqoli Cokovata in Macuata: A case study in Fiji. WWF-Pacific, Suva, Fiji, 35.
- Prince, J.; Hordyk, A.; Valencia, S.R.; Loneragan, N. & Sainsbury, K. 2015a. Revisiting the concept of Beverton–Holt life-history invariants with the aim of informing data-poor fisheries assessment. ICES Journal of Marine Science 72(1): 194-203.
- Prince, J.; Victor, S.; Kloulchad, V. & Hordyk, A. 2015b . Length based SPR assessment of eleven Indo-Pacific coral reef fish populations in Palau. Fisheries Research 171(1): 42-58.
References
Agustina, B.; Ariasari, A.; Satriyo, T. & Eko Setyobudi, E. 2023. Food Preference of Bullet Tuna (Auxis rochei
Risso, 1810) in Prigi Coast of Trenggalek Regency, East Java. Journal of Tropical Biodiversity and Biotechnology 8(1): 1-11.
Asrial, E.; Arapat, Y.; Hadi, U. K.; Kalih, L. A.; Liliyanti, M. A.; Rosadi, E.; Khasanah, R. I. &
Rathnayake,I.N. 2021a. The Length-Weight Relationship and Condition Factors of Bullet Tuna Landed at the Tanjung Luar Fishing Port, Indonesia. Journal of Ilmiah Perikanan Dan Kelautan 13(1): 1-10.
Asrial, E.; Fathurriadi, Y.; Hadi, U.K.; Kalih, L.A.T.T.W.S.; Rizal, L.S.; Liliyanti, M.A.; Rosadi, E.; Khasanah, R.I.; Setyohadi, D.; Junaidi, M. & Rathnayake, I.N. 2021b. Population Dynamics of Bullet Tuna (Auxis rochei Risso1881) from the Indian Ocean, West Nusa Tenggara, Indonesia. Jurnal Ilmiah Perikanan dan Kelautan 13(2): 116-123.
Beverton, R. & Holt, S. 1959. A review of the lifespans and mortality rates of fish in nature, and their relation to growth and other physiological characteristics in: CIBA Foundation colloquia on ageing: Wiley Online Library pp. 142-180.
Bök, T. & Oray, K. 2001. Age and growth of bullet tuna Auxis rochei (Risso, 1810) in Turkish waters. Collective Volume of Scientific Papers ICCAT 52(1): 708-718.
Buchanan, J.R.; Ralph, G.M.; Krupp, F.; Harwell, H.; Abdallah, M.; Abdulqader, E. 2019. Regional extinction risks for marine bony fishes occurring in the Persian/Arabian Gulf. Biological Conservation 230(1): 10-19.
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.
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(1): 169-186.
Dowling, N.A.; Smith, A.D.; Smith, D.C.; Parma, A.M.; Dichmont, C.M. & Sainsbury, K. 2019. Generic solutions for data‐limited fishery assessments are not so simple. Fish and Fisheries 20(1): 174-188.
Expósito, P.M. 2015. Assessing the atmospheric oscillations effects on the biology of the bullet tuna (Auxis rochei) and its possible linkage with global warming. Ph.D. thesis.
FAO 1999. The Strategic Framework for FAO, 2000-2015. Food and Agriculture Organization of the United Nations. 5p.
Froese, R. 1998. Length-weight relationships for 18 less-studied Fish Species. Journal Name 14(2): 117-118.
Froese, R. & Pauly, D. 2024. FishBase. World Wide Web electronic publication. www.fishbase.org, (02/2024).
Goodyear, C.P. 1993. Spawning stock biomass per recruit in fisheries management: foundation and current use. Canadian Special Publication of Fisheries and Aquatic Sciences, pp. 67-82.
Halim, A.; Wiryawan, B.; Loneragan, N.R.; Hordyk, A.; Sondita, M.F.A. & White, A.T. 2019. Developing a functional definition of small-scale fisheries in support of marine capture fisheries management in Indonesia. Marine Policy 100(1): 238-248.
Harrison, T.D. 2001. Length-weight relationships of fishes from South African estuaries. Journal Name 17(1): 46-48.
Hicks, C.C. & McClanahan, T.R. 2012. Assessing gear modifications needed to optimize yields in a heavily exploited, multi-species, seagrass and coral reef fishery. PLoS One 7(5): e36022.
Hommik, K.; Fitzgerald, C.J.; Kelly, F. & Shephard, S. 2020. Dome-shaped selectivity in LB-SPR: length-based assessment of data-limited inland fish stocks sampled with gillnets. Fisheries Research 229(2): 105574.
Hordyk, A.; Ono, K.; Sainsbury, K.; Loneragan, N. & Prince, J. 2015a. Some explorations of the life history ratios to describe length composition, spawning-per-recruit, and the spawning potential ratio. ICES Journal of Marine Science 72(1): 204-216.
Hordyk, A.; Ono, K.; Valencia, S.; Loneragan, N. & Prince, J. 2015b. 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(1): 217-231.
IOTC. 2017. Bullet Tuna: Supporting Information, in Indian Ocean Tuna Commission, viewed 31 Agustus 2020, from https://iotc.org/ node/3379#nt
IOTC. 2019. Report of The 9th Session of The IOTC Working Party on Neritic Tunas. Mahe, Seychelles, 1-5 July 2019. IOTC –2019–WPNT09–R[E], pp.1-80
Jasmine, S.; Rohit, P.; Abdussamad, E.M.; Said Koya, K.P.; Joshi, K.K.; Kemparaju, S.; Prakasan, D.; Elayathu, M.N.K. & Sebastine, M. 2013. Biology and fishery of the bullet tuna, Auxis rochei (Risso, 1810) in Indian waters. Indian Journal of Fisheries 60(2): 13-20.
Kahraman, A.E.; Göktürk, D. & Karakulak, F.S. 2011. Age and growth of bullet tuna, Auxis rochei (Risso), from the Turkish Mediterranean coasts. African Journal of Biotechnology 15(1): 3009-3013.
Lart, W.B. 2019. Guide to Data-limited stock assessment. Sea Fish Industry Authority, 20 p.
Lelono, T. & Bintoro, G. 2019. Population dynamics and feeding habits of Euthynnus affinis, Auxis thazard, and Auxis rochei in South Coast of East Java waters. The 2nd International Symposium on Marine Science and Fisheries (ISMF2) – 2019. IOP Conf. Series: Earth and Environmental Science 370(2019): 012054.
Mace, P.M. 1994. Relationships between common biological reference points used as thresholds and targets of fisheries management strategies. Canadian Journal of Fisheries and Aquatic Sciences 51(1): 110-122.
Macías, D.; Lema, L.; Gómez-Vives M.J. & de la Serna, J.M. 2006. A preliminary approach to the bullet tuna (Auxis rochei) fecundity in the Spanish Mediterranean. Collective Volume of Scientific Papers ICCAT 59(2): 571-578.
Ollé-Vilanova, J. 2022. Larval Retention and Homing Behaviour Shape the Genetic Structure of the Bullet Tuna (Auxis rochei) in the Mediterranean Sea. Fishes 7(5): 300.
Prince, J. 2017. Length based assessment of the spawning potential of reef fish from iQoliqoli Cokovata in Macuata: A case study in Fiji. WWF-Pacific, Suva, Fiji, 35.
Prince, J.; Hordyk, A.; Valencia, S.R.; Loneragan, N. & Sainsbury, K. 2015a. Revisiting the concept of Beverton–Holt life-history invariants with the aim of informing data-poor fisheries assessment. ICES Journal of Marine Science 72(1): 194-203.
Prince, J.; Victor, S.; Kloulchad, V. & Hordyk, A. 2015b . Length based SPR assessment of eleven Indo-Pacific coral reef fish populations in Palau. Fisheries Research 171(1): 42-58.