OPEN ACCESS PEER-REVIEWED | RESEARCH ARTICLE

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BG Hutubessy
VPY Likumahuwa
JW Mosse

Abstract

Fisheries management or conservation requires information on length-weight relationship (LWR) for the fishing regulation and biomass estimation. This study aims to assess LWR estimation using two methods, regular and Bayesian hierarchical approached for big-eye Scad (Selar crumenophthalmus). Samples of big eye Scad were collected at several fish landings around Ambon Island from March to August 2020. Length-weight relationship measurement to obtain the parameters of W = a*Lb was tested using generalized linear model and t-test. The parameter b for monthly sampling was not significantly different (F = 0.77, df = 70, P = 0.89) and showed isometric growth b=3 (t = -1.13, df = 4, P = 0.32). Regular measurement resulted parameter log10(a) = -1.99 (±SD = 1.06) dan b = 3.06 (±SD = 0.084). Bayesian method produced parameter log10(a) = -2.07 (±SD = 0.2365) dan parameter b = 3.21 (±SD = 0.1497). Weight measurement from HB approach was significantly higher than the regular method (t = 1.65; df = 405; P <0.0001), and might produce over-estimated of weight from length data. Discrepancy of these methods was overcome by combining all information of LWR to obtain the best estimation on LWR parameters.

Keywords:
Bayesian method, big eye Scad, length-weight relationship

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References

Adyp S. 2017. Biology and consumption trend of bigeye scad. Desertation of School of Biological Science, Universiti Sains Malaysia: Penang, Malaysia.

Andersen KH, Blanchard JL, Fulton EA, Gislason H, Jacobsen NS, Van Kooten T. 2016. Assumptions behind size-based ecosystem models are realistic. ICES Journal of Marine Science, 73(6): 1651–1655. https://doi.org/10.1093/icesjms/fsv211

Bajer PG, Hayward RS. 2006. A combined multiple-regression and bioenergetics model for simulating fish growth in length and condition. Transactions of the American Fisheries Society, 135(3): 695–710. https://doi.org/10.1577/t05-006.1

Bharadhirajan P, Mahadevan G, Murugesan P, Murugan S, Pouladi M, Naderi RA. 2019. Relative condition factor, length-weight relationship, and growth of three-spotted flounder, Pseudorhombus triocellatus from Parangipettai Coast, India. Biodiversitas, 20(2): 373–379. https://doi.org/10.13057/biodiv/d200210

Chodrijah U, Faizah R. 2019. Biologi reproduksi selar bentong (Selar crumenophthalmusBloch, 1793) di Perairan Kwandang, Gorontalo Utara. BAWAL Widya Riset Perikanan Tangkap, 10(3): 169. https://doi.org/10.15578/bawal.10.3.2018.169-177

Fonseca VF, Cabral HN. 2007. Are fish early growth and condition patterns related to life-history strategies? Reviews in Fish Biology and Fisheries, 17(4): 545–564. https://doi.org/10.1007/s11160-007-9054-x

Froese R, Pauly D. 2019. FishBase. World Wide Web electronic publication. . Froese R, Thorson JT, Reyes RB. 2014. A Bayesian approach for estimating length-weight relationships in fishes. Journal of Applied Ichthyology, 30(1): 78–85. https://doi.org/10.1111/jai.12299

Froese R, Winker H, Coro G, Demirel N, Tsikliras AC, Dimarchopoulou D, Scarcella G, Probst WN, Dureuil M, Pauly D. 2018. A new approach for estimating stock status from length frequency data. ICES Journal of Marine Science, 75(6): 2004-2015 https://doi.org/10.1093/icesjms/fsy078

Froese R. 2006. Cube law, condition factor and weight-length relationships: His-tory, meta-analysis and recommen-dations. Journal of Applied Ichthyology, 22(4): 241–253. https://doi.org/10.1111/j.1439-0426.2006.00805.x

Greig HS, Niyogi DK, Hogsden KL, Jellyman PG, Harding JS. 2010. Heavy metals: Confounding factors in the response of New Zealand freshwater fish assemblages to natural and anthropo-genic acidity. Science of the Total Envi-ronment, 408(16): 3240–3250. https://doi.org/10.1016/j.scitotenv.2010.04.006

Hansen EA, Closs GP. 2009. Long-term growth and movement in relation to food supply and social status in a stream fish. Behavioral Ecology, 20(3): 616–623. https://doi.org/10.1093/beheco/arp039

Hayes JW, Stark JD, Shearer KA. 2000. Development and test of a whole-lifetime foraging and bioenergetics growth model for drift-feeding brown trout. Transactions of the American Fisheries Society, 129(2): 315–332. https://doi.org/10.1577/1548-8659(2000)129<0315:datoaw>2.0.co;2

Hiddink JG, Johnson AF, Kingham R, Hinz H. 2011. Could our fisheries be more productive? Indirect negative effects of bottom trawl fisheries on fish condition. Journal of Applied Ecology, 48(6): 1441–1449. https://doi.org/10.1111/j.1365-2664.2011.02036.x

Hilborn R, Rochet M-J, Collie JS, Jennings S, Hall SJ. 2011. Does selective fishing conserve community biodiversity? Pre-dictions from a length-based multi-species model. Canadian Journal of Fisheries and Aquatic Sciences, 68(3): 469–486. https://doi.org/10.1139/F10-159

Hilborn R, Walters CJ. 1992. Quantitative fisheries stock assessment. Quantitative Fisheries Stock Assessment, 49(0): 6221. https://doi.org/10.1007/978-1-4615-3598-0

Jellyman PG, Booker DJ, Crow SK, Bonnett ML, Jellyman DJ. 2013. Does one size fit all? An evaluation of length-weight relationships for New Zealand’s freshwater fish species. New Zealand Journal of Marine and Freshwater Research. Taylor & Francis, 47(4): 450–468. https://doi.org/10.1080/00288330.2013.781510

Jennings S, Jennings S, Blanchard JL, Blanchard JL. 2004. Fish abundance with no shing: predictions based on macroecological theory. Journal of Animal Ecology, (Pauly 1995): 632–642. https://doi.org/10.1111/j.0021-8790.2004.00839.x


Jisr N, Younes G, Sukhn C, El-Dakdouki MH. 2018. Length-weight relationships and relative condition factor of fish inhabiting the marine area of the Eastern Mediterranean city, Tripoli-Lebanon. Egyptian Journal of Aquatic Research, 44(4): 299–305. https://doi.org/10.1016/j.ejar.2018.11.004

Kimmerer W, Avent SR, Bollens SM, Feyrer F, Grimaldo LF, Moyle PB, Nobriga M, Visintainer T. 2005. Variability in length–weight relationships used to estimate biomass of estuarine fish from survey data. Transactions of the American Fisheries Society, 134(2): 481–495. https://doi.org/10.1577/t04-042.1

Matakupan Hansje, Tuapetel F. 2017. Potensi dan tingkat pemanfaatan ikan kawalinya (Selar spp.) di Pulau Ambon. Amanisal, 6(2): 16–20.

Ndiaye W, Diouf K, Samba O, Ndiaye P,Panfili J, Marbec UMR, Montpellier U De, Bataillon PE. 2015. The length-weight relationship and condition factor of white grouper (Epinephelus aeneus, Geoffroy Saint Hilaire, 1817) at the south-west coast of Senegal, West Africa. International Journal of Advanced Research, 3(3): 145–153.

Rutherford A. 2012. ANOVA and ANCOVA. A GLM Approach.Statistics in Medicine. Wiley. A John Wiley & Sons, Inc. Publication.Safran P. 1992. Theoretical analysis of the weight-length relationship in fish juveniles. Marine Biology, 112(4): 545–551. https://doi.org/10.1007/BF00346171

Siwat V, Ambariyanto A, Widowati I. 2016. Biometrics of bigeye scad, Selar crumenophthalmus and shrimp scad, Alepes djedaba from Semarang waters, Indonesia. AACL Bioflux, 9(4): 915–922.

Smith-Vaniz W., Quéro J-C, Desoutter M. 1990. Check-list of the fishes of the eastern tropical Atlantic (CLOFETA). In: J.C. Quero, J.C. Hureau, C. Karrer AP and LS (ed) Volume 2. JNICT, Lisbon; SEI, Paris; and UNESCO, Paris: Lisbon, pp. 729-755.

Thorson JT, Hicks AC, Methot RD. 2015. Random effect estimation of time-varying factors instock synthesis. ICES Journal of Marine Science, 72(1): 178–185. https://doi.org/10.1093/icesjms/fst211