Sierra Leone'de Karides Balıkçıları Tarafından Avlanan Pembe Karides, Farfantepenaeus notialis İçin Biyolojik Referans Noktalarının Tahmin Edilmesi

Year 2022, Volume: 5 Issue: 2, 103 - 108, 29.12.2022

Komba Jossie Konoyima , Percival Arthur Timothy Showers

https://doi.org/10.46384/jmsf.1101296

Abstract

Av (ton) ve bolluk verilerinden (t/gün) stok tahmini için veri sınırlı durum-alan Bayesian Av-maksimum Sürdürülebilir Ürün (CMSY) yöntemi kullanılarak, Farfantepenaeus notialis’in av ve çaba verilerinin zaman serileri 'R'de analiz edildi. Çalışma, F.notialis'in durumunu sırasıyla I. dönem (1981-1996) ve II. dönem (2008-2018) olarak belirtilen iki kategoride karşılaştırmıştır. I. dönemde Bayesian Schaefer modeli (BSM) analizine dayalı yönetim için sonuçlar (önceki nisbi biyokütle (B/k) = 0,06; MSY = 2,25t , %95 CL = 1,98 - 2,56; Fmsy = 0,379 yıl-1, %95 CL = 0,29 - 0,495; Bmsy = 5,94t , %95 CL = 4,69 - 7,51; Biyokütle = 4,78t; B/Bmsy = 0,806; Balıkçılık ölüm oranı = 0,583yıl-1 ve Yararlanma oranı, F/Fmsy = 1,54) verirken, II. dönem için sonuçlar (önceki nisbi biyokütle (B/k) = 0,35; MSY = 0,662t, %95 CL = 0,567 - 0,773; Fmsy = 0,421yıl-1, %95 CL = 0,314 - 0,563; Bmsy = 1,58t, %95 CL = 1.22 - 2.04; Biyokütle = 1.09t; B/Bmsy = 0.69; Balıkçılık ölüm oranı = 0.532yr-1 ve Yararlanma oranı, F/Fmsy = 1.27) göstermiştir. Sonuç olarak, tüm tahmini biyolojik referans noktaları, 1989-1996 ve 2008-2018 yıllarında F.notialis'in aşırı avcılık durumunu göstermiştir. Sierra Leone'deki stoklar için stok iyileştirme önlemleri şiddetli olarak tavsiye edilmektedir.

Keywords

Bayesian, Yararlanma oranı, Avcılık baskısı, Referans noktası, Stok, Sürdürülebilirlik

Estimating Biological Reference Points of the Pink Shrimp, Farfantepenaeus notialis (Perez-Farfante, 1967) Targeted by Shrimp Trawlers in Sierra Leone

Abstract

Time series of catch and effort data for Farfantepenaeus notialis were analysed in ‘R’ using a data limited state-space Bayesian Catch-maximum Sustainbale Yield (CMSY) method for stock assessment from catch (tonnes) and abundance data (t/day). The study categorically compared the status of F.notialis in two periods (1981-1996) and (2008-2018) denoted as periods I and II, respectively. Results for management based on Bayesian Schaefer model (BSM) analysis for Period I gave (Prior relative biomass (B/k) = 0.06; MSY = 2.25t , 95% CL = 1.98 - 2.56; Fmsy = 0.379 yr-1 , 95% CL = 0.29 - 0.495; Bmsy = 5.94t , 95% CL = 4.69 - 7.51; Biomass = 4.78t; B/Bmsy = 0.806; Fishing mortality = 0.583yr-1 and Exploitation rate, F/Fmsy = 1.54) while that of Period II showed (Prior relative biomass (B/k) = 0.35; MSY = 0.662t, 95% CL = 0.567 - 0.773; Fmsy = 0.421yr-1 , 95% CL = 0.314 - 0.563; Bmsy = 1.58t , 95% CL = 1.22 - 2.04; Biomass = 1.09t; B/Bmsy = 0.69; Fishing mortality = 0.532yr-1 and Exploitation rate, F/Fmsy = 1.27). By implications, all estimated biological reference points portrayed an overfished status of F.notialis in 1989-1996 and in 2008-2018. Stock recovery measures are strongly advised for the stock in Sierra Leone.

Keywords

Exploitation, Fishing Pressure, Stock, Sustainability, Bayesian, Referance point

References

• Alam, M.S., Liu, Q., Nabi, M.R.-U., & Al-Mamun, M.A. (2021). Sustainability, 13, 3604. https://doi.org/10.3390/su13073604.
• Amorim, P., Sousa, P., Jardim, E. & Menezes, G.M. (2019) Sustainability Status of Data-Limited Fisheries: Global Challenges for Snapper and Grouper. Frontiers in Marine Science, 6, 654. doi: 10.3389/fmars.2019.00654
• Coutin, P.C., & Payne, A.I. (1989). The effects of long-term exploitation of demersal fish populations off the coast of Sierra Leone, West Africa. Journal of Fish Biology, 35, 163–167.
• 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. (2018). New Methods for Estimating the Status of Data-poor Fisheries (pp.38). Aquatic Ecosystems Research Laboratory, GEOMAR, GEOMAR, Germany.
• Froese, R., Demirel, N., Coro, G. & Winker, H. (2021). User Guide for CMSY++. (pp.17). Aquatic Ecosystems Research Laboratory, GEOMAR, Germany. Accessed online at http://oceanrep.geomar.de/52147/.
• Gillett, R. (2008). Global study of shrimp fisheries (pp.331). FAO Fisheries Technical Paper.
• Gulland, J. (1971). The Fish Resources of the Ocean (pp.255). FAO Fishing News Books, Surrey.
• King, M.G. (2007). Fisheries biology, assessment and management (pp.189-194). Wiley-Blackwell Publishing Ltd.
• Konoyima, K.J. (2021). Evaluating Size at Sexual Maturity and Size-Structure of Farfantepenaeus notialis in Sierra Leone. Journal of Pure and Applied Sciences, 13 (2), 7-14
• May-Kú, M.A., Ordóñez-López, U., & Defeo, O. (2006). Morphometric differentiation in small juveniles of the pink spotted shrimp (Farfantepenaeus brasiliensis) and the southern pink shrimp (F. notialis) in the Yucatan Peninsula. Mexico Fish Bulletin, 104, 306–310.
• Meissa, B., Dia, M., Baye, B.C., Bouzouma, M., Beibou, E. & Roa-Ureta, R.H. (2021) A Comparison of three data-poor stock assessment methods for the Pink Spiny Lobster Fishery in Mauritania. Frontiers in Marine Science, 8: 714250. doi: 10.3389/fmars.2021.714250.
• Nwosu, F. (1008). Population Dynamics of the Exploited Penaeid Shrimp, Penaeus (Farfantepenaeus notialis) in the Cross River Estuary, Nigeria. Journal of Fisheries International, 4(4), 62-67. doi: 10.3923/jfish.2009.62.67.
• Pauly, D., & Zeller, D. (2016). Catch reconstructions reveal that global marine fisheries catches are higher than reported and declining. Natural Communication, 7, 10244.
• Shan, X., Jin, X., Dai, F., Chen, Y., Yang, T., & Yao, J. (2016). Population Dynamics of Fish Species in a Marine Ecosystem: A Case Study in the Bohai Sea, China. Marine and Coastal Fisheries, 8(1): 100-117. https://doi.org/10.1080/19425120.2015.1114543
• Showers, P.A.T. (2012). The shrimp stocks of Sierra Leone. In: Vakily J.M, Seto, K. and Pauly, D. (Eds.). The Marine Fisheries Environment of Sierra Leone. (pp. 46–49). Fisheries Centre Research Reports 20 (4). Fisheries Centre, University of British Columbia.
• Showers, P.A.T. (1999). Escalation in shrimp production in the Sierra Leone industrial fishery. NAGA, 22 (3), 29-31.
• Winker, H., Carvalho, F., Sharma, R., Parker, D., & Kerwath, S. (2017). Initial results for north and south Atlantic shortfin Mako (Isurus oxyrinchus) stock assessments using the Bayesian surplus production model JABBA and the catch-resilience method CMSY. ICCAT, 74, 1836–1866.
• Zhang, L. (2021). Global Fisheries Management and Community Interest. Sustainability, 13, 8586. https://doi.org/10.3390/su13158586.