2017
DOI: 10.1111/1365-2656.12732
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A potential pitfall in studies of biological shape: Does size matter?

Abstract: The number of published studies using geometric morphometrics (GM) for analysing biological shape has increased steadily since the beginning of the 1990s, covering multiple research areas such as ecology, evolution, development, taxonomy and palaeontology. Unfortunately, we have observed that many published studies using GM do not evaluate the potential allometric effects of size on shape, which normally require consideration or assessment. This might lead to misinterpretations and flawed conclusions in certai… Show more

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Cited by 53 publications
(30 citation statements)
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“…Shape variables contain allometric variation (Outomuro and Johansson 2017). However, since wing centroid size was not found to be significant in any of the models (see Results), we decided to keep the shape variables without removing the allometric component.…”
Section: Discussionmentioning
confidence: 99%
“…Shape variables contain allometric variation (Outomuro and Johansson 2017). However, since wing centroid size was not found to be significant in any of the models (see Results), we decided to keep the shape variables without removing the allometric component.…”
Section: Discussionmentioning
confidence: 99%
“…To select the most supported model given the available data, that is, one that improves model fit while penalizing complexity, we used the Aikaike Information Criteria corrected for small sample sizes (AICc, Hurvich and Tsai 1989), where the best models had the lowest AICc values, implemented with the package MuMin (BartĂłn 2019). Maximal PGLS models included species mean altitude and distance from the Equator (to control for potential latitudinal clines), sex ratio in our samples interacting with either wing aspect ratio or wing size, to control for potential allometric and sexual dimorphism relationships, which could be different among closely related taxa (Outomuro and Johansson 2017). Most species are found in the Andean mountains or the Amazonian region near the Equator, so we did not have much power to examine variation with latitude in wing aspect ratio and size across species, but we included distance from the Equator as an explanatory variable in the PGLS models to account for it.…”
Section: Variation Across Speciesmentioning
confidence: 99%
“…In order to obtain the measurement error associated with landmark digitisation, Procrustes ANOVA test was carried out to analyse whether the variation between double distributions of landmarks on the same individual's tail was greater than that between samples. Since size effects can be an important component of shape variation in biological studies (Outomuro and Johansson 2017), the association between the tail shape and centroid size was analysed using regression analysis.…”
Section: Discussionmentioning
confidence: 99%