Use este identificador para citar ou linkar para este item: https://repositorio.inpa.gov.br/handle/1/37757
Título: Using osteological measurements to estimate body length in amazonian manatees
Título(s) alternativo(s): Utilização de medidas osteológicas para estimativa de comprimento corporal em peixe-boi da amazônia
Autor: Valdevino, Gisele De Castro Maciel
Silva, Vera Maria Abud Pacífico da
Amaral, Rodrigo S.
Data do documento: 2021
Revista: Acta Amazonica
É parte de: Volume 51, Número 2, Pags. 156-161
Abstract: Body length is an important parameter in morphological, ecological and behavioral studies of a species and contributes to the understanding of the body condition of individuals. This parameter is essential for conservation and management strategies by informing studies evaluating growth rates, physical maturity and classification of individuals into age groups, promoting better accuracy for the biological parameters of the species. The aim of this study was to identify predictors of body length for Amazonian manatees (Trichechus inunguis) using metric characters of osteological materials. Eleven linear measurements of skull, jaw, scapulae and humeri were collected from 41 Amazonian manatee skeletons of different age classes (calf, juvenile and adult). Data were analyzed by simple linear regression. The condylobasal length was the best predictor of body length for the species (R = 0.943), however, all bones evaluated showed at least one measurement with the capacity to predict body size (R2 > 0.9). Results of this study are useful for inferring body length of Amazonian manatees using bones deposited in museums and biological collections, expanding the informative potential of these materials. © 2021, Instituto Nacional de Pesquisas da Amazonia. All rights reserved.
DOI: 10.1590/1809-4392202004731
Aparece nas coleções:Artigos

Arquivos associados a este item:
Arquivo TamanhoFormato 
using_osteologicalv_2.pdf272,56 kBAdobe PDFVisualizar/Abrir


Este item está licenciada sob uma Licença Creative Commons Creative Commons