Assessment of exploitation status and estimation of length indicators for the management of the Jinga shrimp (Metapenaeus affinis) fishery using the LBB model in the northwestern waters of the Persian Gulf

Document Type : Research Paper

Authors

1 M.Sc. student, Department of Fisheries, Faculty of Marine Natural Resources, Khorramshahr University of Marine Science and Technology, Khorramshahr, Iran

2 Assistant Professor, Department of Fisheries, Faculty of Marine Natural Resources, Khorramshahr University of Marine Science and Technology, Khorramshahr, Iran

3 Assistant Professor, Fishing and Exploitation Department, College of Fisheries and Environment, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran

10.22059/jfisheries.2023.353197.1359

Abstract

In terms of catch, Jinga shrimp (Metapenaeus affinis) occupies the first place in the waters of Khuzestan province, and the livelihood and economy of the local fishing community of this province depend on that. To this end, this study used LBB model as a new and powerful method based on length data to obtain length indicators for management of Jinga shrimp fishery in coastal waters of Khuzestan province in 2021. The estimated B/BMSY value of Jinga shrimp stock of 1.3 indicates that the stock of these shrimp is in a relatively healthy condition but is on the verge of overfishing. The values of F/M (reference value below 1) and B/B0 (reference value 0.4-0.5) also confirm this. The B/B0 value was estimated to be 0.47, which means that the exploitation rate of the stock is 53%. The ratios M/K, F/K and Z/K were also estimated to be 0.65, 1.7, 1.11 and 2.81, respectively. The results related to the length in the first catch (Lc), the optimal length in the first catch (Lc-opt) and the optimal length of the catch (Lopt) showed that their values were 13.24, 0.24 and 0.30 mm, respectively. In this study, the ratio of Lc/Lc-opt was greater than 1, and the indices Lmax5%/Linf and L95%/Linf were calculated with values greater than or equal to 0.8, respectively. However, the ratios of Lmean/Lopt and Lmean/ LF=M were almost less than 1, showing that the harvest is not optimal. According to the results of this study, although the stock of Jinga shrimp is healthy, in order to ensure the maximum biomass of the cohort and prevent overfishing of Jinga shrimp in the long term, a proper management approach should be adopted based on the important length indicators.

Keywords

Main Subjects

References

Ansari, H., Kodadadi, M., Eskandari G., 2014. Growth and mortality Parameters of Jinga Shrimp (Metapenaeus affinis-H. Milne Edwards, 1837) in western coast of Khoozestan Province. Journal of Marine Biology 6(23), 1-11. (in Persian)
Ansari, H; Mohammdi G.H.; Kashi M.T.; Mayyahi Y., 2012. Investigating and determination exploitation pattern of Jinga shrimp (M. affinis) in the Khouzestan province Waters. Iranian Fisheries Research Organization. 33 p. (In Persian).
Asadi, H., Savari, A., Seyf Abadi, S.J., 2001. Population structure of white shrimp (Metapenaeus affinis) in Mashta of Hormozgan province. Journal of Marine Science and Technology 1(1), 1-15. (In Persian).
Ashiyaneh, M., Gorgin, S., Ghorbani R., Shabani M.J., 2017. Study of local distribution of Jinga shrimp Metapenaeus affinis (H. Milne-Edwards, 1837) in the coastal waters of Bushehr Province by using bottom trawl. Journal of Utilization and Cultivation of Aquatics 6(3), 17-25. (in Persian) DOI: 10.22069/japu.2018.12605.1336
Baldé, B.S., Fall, M., Kantoussan, J., Sow, F.N., Diouf, M., Brehmer, P., 2019. Fish-length based indicators for improved management of the sardinella fisheries in Senegal. Regional Studies in Marine Science 31, 100801. DOI: 10.1016/j.rsma.2019.100801
Beverton, R.J.H., Holt, S.J., 1966. Manual of methods for fish stock assessment. Part 2. Tables of yield functions. Rome: FAO, FAO Fish. Tech. Pap. No. 38 (Rev. 1), 67 p.
Canales, T.M., Wiff, R., Quiroz, J.C., Queirolo, M D., 2019. Estimation of natural mortality in two demersal squat lobster species off Chile. Journal of the Marine Biological Association of the United Kingdom 99(7) 1639-1650. DOI: 10.1017/S0025315419000717
Dehghan Madiseh, S., Eskandari, Gh., Esmaeili, F., Mayahi, Y., Ghasemi, Sh., 2003. Identification and density determination of Persian Gulf shrimps (phase one) in Khuzestan’s creeks. Iranian Fisheries Research Organization, 47 p. (in Persian)
Farokhbin, S., Kamrani, E., Gorgin, S., Naji, A., 2021. Standardization of cod-end mesh size in shrimp trawlers with less than 250 Hp power engine (Case study: Bushehr coastal waters). Journal of Aquatic Ecology 10 (4), 69-76.
Froese, R., 2004. Keep it simple: three indicators to deal with overfishing. Fish and fisheries 5(1), 86-91.  DOI:10.1111/j.1467-2979.2004.00144.x
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.  DOI: 10.1111/j.1095-8649.2000.tb00870.x
Froese, R., Demirel, N., Coro, G., Kleisner, K.M., Winker, H., 2017. Estimating fisheries reference points from catch and resilience. Fish and Fisheries 18(3), 506-526.  DOI: 10.1111/faf.12190
Froese, R., Winker, H., Gascuel, D., Sumaila, U.R., Pauly, D., 2016. Minimizing the impact of fishing. Fish Fisheries 17, 785-802.  DOI: 10.1111/faf.12146
Froese, R., Winker, H., Coro, G., Demirel, N., Tsikliras, A.C., Dimarchopoulou,  D., Scarcella, G., Probst W.N., Dureuil, M., Pauly, D., 2018. A new approach for estimating stock status from length frequency data. ICES Journal of Marine Science 75, 2004-2015.  DOI: 10.1093/icesjms/fsy078
Froese, R., Winker, H., Coro, G., Demirel, N., Tsikliras, A.C., Dimarchopoulou, D., Scarcella, G., Probst, W.N., Dureuil, M., Pauly, D., 2019. On the pile-up effect and priors for Linf and M/K: response to a comment by hordyk et al. on A new approach for estimating stock status from length-frequency data. ICES Journal of Marine Science 76, 461-465.  DOI: 10.1093/icesjms/fsy199
Gerami, M.H., Paighambari, S.Y., Ghorbani, R., Momeni, M., 2012. Population structure, growth and mortality rates of Jinga shrimp, Metapenaeus affinis in fishing grounds of Hormozgan Province, Iran. Caspian Journal of Applied Sciences Research 1, 29-35.
Gerami, M.H., Ghorbani, R., Paighambari, S.Y., Momeni, M., 2013. Reproductive season, maturation size (LM50) and sex ratio of Metapenaeus affinis (Decapoda: Penaeidae) in Hormozgan shrimp fishing grounds, south of Iran. International Journal of Aquatic Biology 1(2), 48-54. DOI: 10.22034/ijab.v1i2.25
Hill, S.L., Hinke, J., Bertrand, S., Fritz, L., Furness, R.W., Ianelli, J.N., Murphy, M., Oliveros‐Ramos, R., Pichegru, L., Sharp, R., Stillman, R.A., 2020. Reference points for predators will progress ecosystem‐based management of fisheries. Fish and Fisheries 21(2), 368-378.  DOI: 10.1111/faf.12434
Holthuis, L.B., 1980. FAO species catalogue. Vol. 1: Shrimp and prawns of the world. An annotated catalogue of species of interest to fisheries, FAO Fish. Synop, 271 p.
Hosseini, A., 2021. Investigation on stock status of Indian shrimp (Penaeus indicus H. Milne Edwards, 1837) stocks in coastal waters of Sistan and Baluchistan province. Iranian Fisheries Research Organization.89 p. (in Persian)
ICES, 2015. Report of the Fifth Workshop on the Development of Quantitative Assessment Methodologies based on Life-history Traits, Exploitation Characteristics and other Relevant Parameters for Data-limited Stocks (WKLIFE V), 5-9 October 2015, Lisbon, Portugal. ICES CM 2015/ACOM 56, 157.
DOI: 10.17895/ices.pub.19283927
Ju, P., Chen, M., Tian, Y., Zhao, Y., Yang, S., Xiao, J., 2020. Stock status estimating of 5 shark species in the waters around Taiwan using a length-based Bayesian biomass estimation (LBB) method. Frontiers in Marine Science  7, 632 .  DOI: 10.3389/fmars.2020.00632
Kamrani, E., Amiri, Majazi, B., Safaei, M., 2004. Reproductive biology of Jinga Shrimp (Metapenaeus affinis) in coastal waters of Hormozgan province, Southern Iran. Iranian Scientific Fisheries Journal 13(4), 151-160. (in Persian).  DOI: 10.22092/isfj.2004.113792
Liang, C., Xian ,W., Liu, S., Pauly, D., 2020. Assessments of 14 exploited fish and invertebrate stocks in Chinese waters using the LBB method. Frontiers in Marine Science 7, 314.  DOI: 10.3389/fmars.2020.00314
Link, J., 2010. Ecosystem-based fisheries management: confronting tradeoffs. Cambridge University Press.207p.
Mathews, C.P., Al-Hossaini, M., Abdul Ghaffar, A.R., Al-Shouani, M., 1987. Assessment of short-lived stocks with special reference to Kuwit’s shrimp fisheries. A contrct of the results obtained from traditional and recent size-based techniques, mariculture and fisheries department Kuwait Institute for scientific research, Safat, Kuwait pp. 47-166.
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 (11), 1520-1527. DOI: 10.1111/2041-210X.12791
Mohammed H.M., 1995. Population dynamics and exploitation of Metapenaeus affinis in Kuwaiti waters. Naga, the ICLARM Quarterly 18(2), 38-41.
Mohammed, H.M., Bishop, J.M., Ye, Y., 1998. Kuwait's post Gulf-War shrimp fishery and stock status from 1991/92 through 1995/96. Reviews in Fisheries Science 6(3), 253-280.  DOI: 10.1080/10641269891314276
Momeni, M., Kamrani, E., Safaie, M., Kaymaram, F., 2018. Population structure of banana shrimp, Penaeus merguiensis De Man, 1888 in the Strait of Hormoz, Persian Gulf.Iranian Journal of Fisheries Science 17(1),47-66.
Myers, R.A., Mertz, G., 1998. The limits of exploitation: a precautionary approach. Ecological Applications 8(sp1), S165-S169.  DOI: 10.1890/1051-0761(1998)8[S165:TLOEAP]2.0.CO;2
Palomares M.L.D., Pauly, D., 2021. SeaLifeBase. World Wide Web electronic publication. <http://www.sealifebase.org>, version (08/2021).
Palomares, M.L.D., Froese, R., Derrick, B., Nöel, S.-L., Tsui, G., Woroniak, J., Pauly, D., 2018. A preliminary global assessment of the status of exploited marine fish and invertebrate populations, in A Report Prepared by the Sea Around Us for OCEANA, (Washington, DC: OCEANA), 64 p.
R Core Team, 2021. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org.
Razek, F.A.A., Ragheb, E., El-Deeb, R.S., Ahmed, H.O., 2022. Growth pattern and stock assessment of Jinga shrimp Metapenaeus affinis (H. Milne Edwards, 1837) (Decapoda, Penaeidae) from the southeastern Mediterranean of the Egyptian coasts. The Egyptian Journal of Aquatic Research 48(1), 83-90.
Safaie, M., 2012. Population dynamics of dominant shrimps in northeast of Qeshm Island. Persian Gulf and Oman sea research center 3(21), 14. (In Persian)
Saputra S.W., Solichin A. and Taufani W.T. 2018, February. Stock Analysis of Metapenaeus affinis (H. Milne Edwards, 1837) on the North Coast of Central Java, Indonesia. In IOP Conference Series: Earth and Environmental Science (Vol. 116, No. 1, p. 012004). IOP Publishing.
Wang, X., He, Y., Du, F., Liu, M., Bei, W., Cai, Y., Qiu, Y., 2021. Using LBB Tools to Assess Miter Squid Stock in the Northeastern South China Sea. Frontiers in Marine Science 7, 518627.  DOI: 10.3389/fmars.2020.518627
Wang, Y., Wang, Y., Liu, S., Liang, C., Zhang, H., Xian, W., 2020. Stock assessment using LBB method for eight fish species from the Bohai and Yellow Seas. Frontiers in Marine Science 7, 164.  DOI: 10.3389/fmars.2020.00164
Yue, L., Wang, Y., Zhang, H., Xian, W., 2020. Stock Assessment Using the LBB Method for Portunus trituberculatus collected from the Yangtze Estuary in China. Applied Sciences 11(1), 342.  DOI: 10.3390/app11010342
Zhang, J., Wang, M.J., Zhang, Z., Sun, H., Wu, Y.W., Tian, W.X., Qiu, S.Z., Su, G.H., 2020. A comprehensive review of the leak flow through micro-cracks (in LBB) for nuclear system: morphologies and thermal-hydraulic characteristics. Nuclear Engineering and Design 362, 110537.  DOI: 10.1016/j.nucengdes.2020.110537
Journal of Fisheries
Volume 76, Issue 3
September 2023
Pages 473-486

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