2022
DOI: 10.1016/j.jsames.2022.103970
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Body size estimation of Caimaninae specimens from the Miocene of South America

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Cited by 11 publications
(5 citation statements)
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“…As a result, we completed the dataset of Dumont Jr et al (2020; Figure 8), which rather uses the raw log‐transformed measurements of body and brain mass (Figure 8; see also Data S1). Body mass is estimated from skull measurements in fossil specimens using linear regression between those metrics in extant crocodylians (Paiva et al, 2022). Brain mass can be derived from the endocranial volume (assuming a brain density of 1) from the following relation: logitalicBV=logitalicEV*0.7279+0.75624 where EV: endocranial volume and BV: brain volume (Dumont Jr et al, 2020 and references therein).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…As a result, we completed the dataset of Dumont Jr et al (2020; Figure 8), which rather uses the raw log‐transformed measurements of body and brain mass (Figure 8; see also Data S1). Body mass is estimated from skull measurements in fossil specimens using linear regression between those metrics in extant crocodylians (Paiva et al, 2022). Brain mass can be derived from the endocranial volume (assuming a brain density of 1) from the following relation: logitalicBV=logitalicEV*0.7279+0.75624 where EV: endocranial volume and BV: brain volume (Dumont Jr et al, 2020 and references therein).…”
Section: Discussionmentioning
confidence: 99%
“…As a result, we completed the dataset of Dumont Jr et al (2020; Figure8), which rather uses the raw log-transformed measurements of body and brain mass (Figure8; see also Data S1). Body mass is estimated from skull measurements in fossil specimens using linear regression between those metrics in extant crocodylians(Paiva et al, 2022). Brain mass can be derived from the endocranial volume (assuming a brain density of 1) from the following relation: logBV = logEV * 0.7279 + 0.75624 F I G U R E 7 Three-dimensional reconstructions of the endosseous labyrinths of different reptiles in lateral view: (a) Hamadasuchus (right, UCBL FSL 532408); (b) Zulmasuchus querejazus (left, MHNC 6672 from Pochat-Cottilloux et al, 2021); (c) Crocodylus porosus (left, OUVC 10899); (d) Viavenator exxoni (left, MAU-Pv-Li-530 from Paulina-Carabajal & Filippi, 2018); (e) Baurusuchus sp.…”
mentioning
confidence: 99%
“…The remarkable differences in size between some species (e.g., A. minuta vs. Macranhinga) are probably, to some extent, explained by diet-related niche partitioning. The higher levels of diversity, size disparity, and sympatry of Miocene anhingids in South America are mirrored and surpassed by the fossil record of crocodylians (Paiva et al, 2022;Salas-Gismondi et al, 2015;Scheyer et al, 2013). Interestingly, the impoverishment of both group's diversity is coincidental to post-Miocene climatic deterioration in the south (e.g., Cenizo & Agnolin, 2010;Diederle & Agnolin, 2017) and significant landscape modifications in the north triggered by the Andean orogeny, which culminated in the predominance of fluvial environments (e.g., Cidade et al, 2019;Riff et al, 2010;Salas-Gismondi et al, 2015).…”
Section: Phylogenetic Inferencementioning
confidence: 99%
“…Kubo & Benton 2009; Zanno & Makovicky 2011; Iijima 2017; Paiva et al . 2022). There have been multiple recent studies examining relative growth rates in extant crocodylians, focusing on skull and body lengths (Webb et al .…”
mentioning
confidence: 99%