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dc.contributor.author
Svagelj, Walter S.  
dc.contributor.author
Gomez Laich, Agustina  
dc.contributor.author
Quintana, Flavio Roberto  
dc.date.available
2020-07-28T13:16:52Z  
dc.date.issued
2018-11  
dc.identifier.citation
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  
dc.identifier.issn
0908-8857  
dc.identifier.uri
http://hdl.handle.net/11336/110400  
dc.description.abstract
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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Wiley Blackwell Publishing, Inc  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
GROWTH MODELS  
dc.subject
NOR LINEAL MIXED MODELS  
dc.subject
ASYMPTOTIC SIZE  
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GROUPED DATA  
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MAXIMUM GROWTH RATE  
dc.subject
RAMDOM EFFECTS  
dc.subject.classification
Ecología  
dc.subject.classification
Ciencias Biológicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Richards's equation and nonlinear mixed models applied to avian growth: why use them?  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-06-08T15:09:29Z  
dc.identifier.eissn
1600-048X  
dc.journal.volume
50  
dc.journal.number
1  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Londres  
dc.description.fil
Fil: Svagelj, Walter S.. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Departamento de Biología; Argentina  
dc.description.fil
Fil: Gomez Laich, Agustina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina  
dc.description.fil
Fil: Quintana, Flavio Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina  
dc.journal.title
Journal Of Avian Biology  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://doi.wiley.com/10.1111/jav.01864  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1111/jav.01864