2017
DOI: 10.3897/zoologia.34.e19864
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Taxonomic identification using geometric morphometric approach and limited data: an example using the upper molars of two sympatric species of Calomys (Cricetidae: Rodentia)

Abstract: ABSTRACT. The taxonomic identification of micromammals might be complicated when the study material is fragmented, as it is the case with pellets and fossil material. On the other hand, tooth morphology generally provides accurate information for species identification. Teeth preserve notably well, retaining their original morphology, unlike skulls and mandibles, which can get crushed or have missing parts. Here, we explored a geometric morphometrics approach (GM) to identify fragmented specimens of two sympat… Show more

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Cited by 11 publications
(8 citation statements)
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“…Indeed, the whole field of virtual anthropology originated from the use of a mix of geometric morphometrics and 3D imaging techniques, with extensive applications to reconstruct and compare fragmentary material to produce results unachievable with traditional non-quantitative methods (e.g., Hublin et al, 2009Hublin et al, , 2017. More generally, in recent years, taxonomists have turned increasingly frequently to geometric morphometrics to assign living or fossil specimens to species-level taxa using clustering methods, discriminant functions or other morphometric analyses, with variable accuracy depending on the variability and overlap of the morphologies of the species in question as well as the morphometric sample available to the researcher (e.g., Polly and Head 2004;McGuire 2011;Boroni et al, 2017;Fang et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Indeed, the whole field of virtual anthropology originated from the use of a mix of geometric morphometrics and 3D imaging techniques, with extensive applications to reconstruct and compare fragmentary material to produce results unachievable with traditional non-quantitative methods (e.g., Hublin et al, 2009Hublin et al, , 2017. More generally, in recent years, taxonomists have turned increasingly frequently to geometric morphometrics to assign living or fossil specimens to species-level taxa using clustering methods, discriminant functions or other morphometric analyses, with variable accuracy depending on the variability and overlap of the morphologies of the species in question as well as the morphometric sample available to the researcher (e.g., Polly and Head 2004;McGuire 2011;Boroni et al, 2017;Fang et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Rivas and Péfaur (1999a) explored the geographic variation in skulls of specimens of the genus Nephelomys from Venezuela using multivariate analyses; their results supported the differentiation of the populations from Yacambú National Park and Mérida. Our results using geometric morphometrics demonstrate the validity of this tool for taxonomic studies and for the identification or detection of cryptic species (Cordeiro-Estrela et al 2006Astúa et al 2015;Boroni et al 2017).…”
Section: Discussionmentioning
confidence: 56%
“…The use of geometric morphometrics on bony structures (mainly skulls) of cricetid rodents has increased lately as a means to examine intra-and interspecific morphological variation, and to identify and diagnose cryptic species within the group (Cordeiro-Estrela et al 2006García and Sánchez-González 2013;Astúa et al 2015;Boroni et al 2017;García et al 2018). Geometric morphometrics is a biologically based statistical analysis method that decomposes variations in size and shape in a two-or three-dimensional space (Bookstein 1991).…”
Section: Introductionmentioning
confidence: 99%
“…We integrated traditional morphometric analyses with geometric morphometry to investigate in-depth the morphological variation in the Mediterranean samples of Centrophorus. Landmarks-based techniques, being based on shape instead of linear measurements, allow us to highlight different sources of phenotypic variation among species (Schmieder et al, 2015;Guillaud et al, 2016;Wilke et al, 2016;Boroni et al, 2017;Ibáñez & Jawad, 2018).…”
Section: Morphological Measures and Geometric Morphometricsmentioning
confidence: 99%