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Using Observed Residual Error Structure Yields the Best Estimates of Individual Growth Parameters
Marcelo Vidal Curiel Bernal
EUGENIO ALBERTO ARAGON NORIEGA
MIGUEL ANGEL CISNEROS MATA
LAURA SANCHEZ VELASCO
SYLVIA PATRICIA ADELHEID JIMENEZ ROSENBERG
ALEJANDRO FRANCISCO PARES SIERRA
Acceso Abierto
Atribución-NoComercial-SinDerivadas
DOI: 10.3390/fishes6030035
ISSN: 2410-3888
URL: https://www.mdpi.com/2410-3888/6/3/35
multimodel inference, error structure, totoaba, growth performance
"Obtaining the best possible estimates of individual growth parameters is essential in studies of physiology, fisheries management, and conservation of natural resources since growth is a key component of population dynamics. In the present work, we use data of an endangered fish species to demonstrate the importance of selecting the right data error structure when fitting growth models in multimodel inference. The totoaba (Totoaba macdonaldi) is a fish species endemic to the Gulf of California increasingly studied in recent times due to a perceived threat of extinction. Previous works estimated individual growth using the von Bertalanffy model assuming a constant variance of length-at-age. Here, we reanalyze the same data under five different variance assumptions to fit the von Bertalanffy and Gompertz models. We found consistent significant differences between the constant and nonconstant error structure scenarios and provide an example of the consequences using the growth performance index _0 to show how using the wrong error structure can produce growth parameter values that can lead to biased conclusions. Based on these results, for totoaba and other related species, we recommend using the observed error structure to obtain the individual growth parameters."
Multidisciplinary Digital Publishing Institute
2021
Artículo
Fishes
Inglés
Curiel-Bernal, M.V.; Aragón-Noriega, E.A.; Cisneros-Mata, M.Á.; Sánchez-Velasco, L.; Jiménez-Rosenberg, S.P.A.; Parés-Sierra, A. Using Observed Residual Error Structure Yields the Best Estimates of Individual Growth Parameters. Fishes 2021, 6, 35. https://doi.org/10.3390/fishes6030035
FISIOLOGÍA ANIMAL
Versión publicada
publishedVersion - Versión publicada
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