Journals / Su Ürünleri Dergisi / 2015 / Cilt: 32 - Sayı: 4

Effect of different parametrization methods on von Bertalanffy growth model of Saurida lessepsianus (Russell, Golani & Tikochinski, 2015)

Farklı parametrizasyon tekniklerinin Saurida lessepsianus (Russell, Golani & Tikochinski, 2015)’un von Bertalanffy büyüme parametrelerinin tahminine etkisi

Pages
205–208
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Hence Francis parametrization method has been found as the most suitable parametrization method

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, effect of different parametrization on the von Bertalannfy growth model of Saurida lessepsianus has been investigated.
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Key Findings & Data:For this purpose, Galucci and Quinn parametrization, Mooij parametrization, Francis parametrization and Schnute parametrization were used.
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Conclusion & Impact:Hence Francis parametrization method has been found as the most suitable parametrization method
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this study, effect of different parametrization on the von Bertalannfy growth model of Saurida lessepsianus has been investigated. For this purpose, Galucci and Quinn parametrization, Mooij parametrization, Francis parametrization and Schnute parametrization were used. Reparametrizated models have been compared via Akaike Information Criterion (AIC), confidence intervals and parameter correlations. Hence Francis parametrization method has been found as the most suitable parametrization method

Özet

Bu çalışmada Saurida lessepsianus'un von Bertalanffy büyüme modeli parametreleri tahminine, farklı parametrizasyon tekniklerinin etkisi incelenmiştir. Bu amaçla Galucci ve Quinn parametrizasyonu, Mooij parametrizasyonu, Francis parametrizasyonu ve Schnute parametrizasyonu kullanılmıştır. Akaike Bilgi Kriteri (AIC), güvenirlik aralıkları ve parametreler arası korelasyonlar yardımıyla modeller karşılaştırılmıştır. Buna göre en uygun parametrizasyon yönteminin Francis parametrizasyon yöntemi olduğu tespit edilmiştir

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Cite This Article

GÜNDOĞDU, S., BAYLAN, M. (2015). Effect of different parametrization methods on von Bertalanffy growth model of Saurida lessepsianus (Russell, Golani & Tikochinski, 2015). Su Ürünleri Dergisi, Cilt: 32 - Sayı: 4, 205–208. https://ajindex.com/articles/311218

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References (3)

  1. Baty, F., Ritz, C., Charles, S., Brutsche, M., Flandrois, J.P., Delignette Muller, M.L., 2014. A toolbox for nonlinear regression in R: the package nlstools. Journal of Statistical Software, 66(5):1-21.
  2. Beverton, R.J., 1994. Notes on the use of theoretical models in the study of the dynamics of exploited fish populations: from lectures by RJH Beverton presented at US Fishery Laboratory, Beaufort, North Carolina, Bureau of Commercial Fisheries, Vol. 1. Marine Fisheries Section, American Fisheries Society, USA, 159. Beverton, R.J., Holt, S.J., 2012. On the dynamics of exploited fish populations Vol. 11. Springer Science Business Media, UK, 456 Bolker, B.M., Gardner, B., Maunder, M., Berg, C.W., Brooks, M., Comita, L., Ford, J., 2013. Strategies for fitting nonlinear ecological models in R, AD Model Builder, and BUGS. Methods in Ecology and Evolution, 4(6), 501- 512. doi: 10.1111/2041-210X.12044
  3. Burnham, K.P., Anderson, D.R., 2002. Model selection and multimodel inference: a practical informationtheoretic approach, Springer Science Business Media, USA, 488 Cailliet, G.M., Smith, W.D., Mollet, H. F., Goldman, K.J., 2006. Age and growth studies of chondrichthyan fishes: the need for consistency in terminology, verification, validation, and growth function fitting. Environmental Biology of Fishes, 77:211-228. doi: 10.1007/978-1-4020-5570-6_2 Francis, R., 1988. Are growth parameters estimated from tagging and agelength data comparable? Canadian Journal of Fisheries and Aquatic Sciences, 456: 936-942. doi: 10.1139/f88-115 Gallucci, V.F., Quinn, T.J., 1979. Reparameterizing, fitting, and testing a simple growth model. Transactions of the American Fisheries Society, 108(1): 14- 25. doi: 10.1577/1548-8659(1979)108 2.0.CO;2 Haddon, M., 2010. Modelling and quantitative methods in fisheries. CRC press, USA, 449 Helser, T.E., Lai, H.L., 2004. A Bayesian hierarchical metaanalysis of fish growth: with an example for North American largemouth bass, Micropterus salmoides. Ecological Modelling, 178(3): 399-416. doi: 10.1016/j.ecolmodel.2004.02.013 Katsanevakis, S., Maravelias, C.D., 2008. Modelling fish growth: multi‐model inference as a better alternative to a priori using von Bertalanffy equation. Fish and Fisheries, 92: 178-187. doi: 10.1111/j.1467-2979.2008.00279.x Knight, W., 1968. Asymptotic growth: an example of nonsense disguised as mathematics. Journal of the Fisheries Board of Canada, 25(6): 1303-1307. doi: 10.1139/f68-114 Mooij, W., Van Rooij, J., Wijnhoven, S., 19