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Artículo

Richards's equation and nonlinear mixed models applied to avian growth: why use them?

Svagelj, Walter S.; Gomez Laich, Agustina; Quintana, Flavio RobertoIcon
Fecha de publicación: 11/2018
Editorial: Wiley Blackwell Publishing, Inc
Revista: Journal Of Avian Biology
ISSN: 0908-8857
e-ISSN: 1600-048X
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Ecología

Resumen

Postnatal growth is an important life-history trait that varies widely across avian species, and several equations with a sigmoidal shape have been used to model it. Classical three-parameter models have an inflection point fixed at a percentage of the upper asymptote which could be an unrealistic assumption generating biased fits. The Richards model emerged as an interesting alternative because it includes an extra parameter that determines the location of the inflection point which can move freely along the growth curve. Recently, nonlinear mixed models (NLMM) have been used in modeling avian growth because these models can deal with a lack of independence among data as typically occurs with multiple measurements on the same individual or on groups of related individuals. Here, we evaluated the useful- ness of von Bertalanffy, Gompertz, logistic, U4 and Richards?s equations modeling chick growth in the imperial shag Phalacrocorax atriceps. We modelled growth in commonly used morphological traits, including body mass, bill length, head length and tarsus length, and compared the performance of models by using NLMM. Estimated adult size, age at maximum growth and maximum growth rates markedly differed across models. Overall, the most consistent performance in estimated adult size was obtained by the Richards model that showed deviations from mean adult size within 5%. Based on AICc values, the Richards equation was the best model for all traits analyzed. For tarsus length, both Richards and U4 models provided indis- tinguishable fits because the relative inflection value estimated from the Richards model was very close to that assumed by the U4 model. Our results highlight the bias incurred by three-parameter models when the assumed inflection placement deviates from that derived from data. Thus, the application of the Richards equation using the NLMM framework represents a flexible and powerful tool for the analysis of avian growth.
Palabras clave: GROWTH MODELS , NOR LINEAL MIXED MODELS , ASYMPTOTIC SIZE , GROUPED DATA , MAXIMUM GROWTH RATE , RAMDOM EFFECTS
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/110400
URL: http://doi.wiley.com/10.1111/jav.01864
DOI: http://dx.doi.org/10.1111/jav.01864
Colecciones
Articulos(IBIOMAR)
Articulos de INSTITUTO DE BIOLOGIA DE ORGANISMOS MARINOS
Citación
Svagelj, Walter S.; Gomez Laich, Agustina; Quintana, Flavio Roberto; Richards's equation and nonlinear mixed models applied to avian growth: why use them?; Wiley Blackwell Publishing, Inc; Journal Of Avian Biology; 50; 1; 11-2018
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