Artículo
The Scope of Traditional and Geometric Morphometrics for Inferences of Diet in Carnivorous Fossil Mammals
Fecha de publicación:
07/2019
Editorial:
Asociación Paleontológica Argentina
Revista:
Ameghiniana
ISSN:
0002-7014
e-ISSN:
1851-8044
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Molar morphology is one of the most used proxies for paleoecological inferences in mammals. Since the XIX century, several authors associated dental morphological traits with the diet of an animal by means of qualitative and descriptive analyses. More recently, different studies of tooth function have associated various quantitative traits of tooth shape (i.e., morphometric ratios or angles) with the different items consumed by the animal. However, because different inferences of diet for the same species can be found in the literature, it is crucial to study the power of different proxies. In this work, we compared the utility of classic morphometric indices (relative lower grinding area, lower angle and angle α) and three-dimensional landmarks configuration to infer diet. Based on a previously published dataset from our working group, we calculated the classic morphometric indices and performed three classification methods: linear discriminant analysis, quadratic discriminant analysis, and weighted random forest. Our results demonstrate that when using the geometric morphometrics approach, the diet of species is better reclassified than when using morphometric indices. Furthermore, intraspecific variation appears fundamental when making paleoecological inferences. In inferring ecological characteristics of extinct animals, studying morphological variation in extant organisms is a safeguard to prevent misinterpretations when reconstructing past ecologies.
Palabras clave:
DIET CLASSIFICATION
,
CARNIVORA
,
MORPHOMETRIC INDECES
,
WEIGHTED RANDOM FOREST
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(CRILAR)
Articulos de CENTRO REGIONAL DE INV. CIENTIFICAS Y TRANSFERENCIA TECNOLOGICA DE ANILLACO
Articulos de CENTRO REGIONAL DE INV. CIENTIFICAS Y TRANSFERENCIA TECNOLOGICA DE ANILLACO
Citación
Tarquini, Sergio Daniel; Chemisquy, Maria Amelia; Ladeveze, Sandrine; Prevosti, Francisco Juan; The Scope of Traditional and Geometric Morphometrics for Inferences of Diet in Carnivorous Fossil Mammals; Asociación Paleontológica Argentina; Ameghiniana; 56; 4; 7-2019; 307-318
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