2021
DOI: 10.1016/j.palaeo.2020.110077
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Tooth tales told by dental diet proxies: An alpine community of sympatric ruminants as a model to decipher the ecology of fossil fauna

Abstract: Paleobiologists tend to use dietary information as an ecological indicator because diet is a fundamental link between an organism and its environment. However, the ecological information from fossilized hard tissues is often difficult to interpret, because links between environment, diet, and hard tissue biology are insufficiently studied in modern communities. To address this dilemma, we investigated dietary proxies commonly used by paleobiologists in a 4-ruminant community from the French Alps. Dental microw… Show more

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Cited by 24 publications
(18 citation statements)
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“…Our isotopic data are thus compatible, at the first order, with the known diet variability of this cervid population, although this estimation of 0.09 ‰ is built upon coarse approximations (notably that consumed grass δ 44/42 Ca value was exactly -0.31 ‰ lower than non-grass food δ 44/42 Ca value) and need further investigations. A higher resolution regarding the post-weaning enamel record, and a better constrain of the Ca isotope composition of food items available at Bauges NRP (especially evergreen trees which are an important food source for these red deer, Redjadj et al (2014)) would provide δ 44/42 Ca data that will be more comparable with δ 13 C records, dental micro-wear and stomach content data collected so far for this red deer population (Redjadj et al, 2014;Merceron et al, 2021). Such further studies could notably help resolving some discrepancies between dental micro-wear and stomach content estimations (i.e.…”
Section: Plant Ca Isotopic Variabilitymentioning
confidence: 99%
“…Our isotopic data are thus compatible, at the first order, with the known diet variability of this cervid population, although this estimation of 0.09 ‰ is built upon coarse approximations (notably that consumed grass δ 44/42 Ca value was exactly -0.31 ‰ lower than non-grass food δ 44/42 Ca value) and need further investigations. A higher resolution regarding the post-weaning enamel record, and a better constrain of the Ca isotope composition of food items available at Bauges NRP (especially evergreen trees which are an important food source for these red deer, Redjadj et al (2014)) would provide δ 44/42 Ca data that will be more comparable with δ 13 C records, dental micro-wear and stomach content data collected so far for this red deer population (Redjadj et al, 2014;Merceron et al, 2021). Such further studies could notably help resolving some discrepancies between dental micro-wear and stomach content estimations (i.e.…”
Section: Plant Ca Isotopic Variabilitymentioning
confidence: 99%
“…Indeed, questions such as seasonality, or depositional timing are important issues in paleontology but also in archaeology (Milner and Bailey, 2005;Sánchez-Hernández et al 2014). Analysis of dental microwear and its intra-sample variation can complement other approaches to assess these aspects at a site scale (Kohn et al 1998;Berlioz et al 2017;Green et al 2018;Blumenthal et al 2019;Merceron et al 2021).…”
Section: Implications For Paleoecologymentioning
confidence: 99%
“…The heterogeneity of texture complexity quantifies the variation of texture complexity observed within a scan (Hasfc) and is expected to be higher for animals with a versatile diet compared for instance to species with a specialized diet (Scott et al 2012;Ramdarshan et al 2016;Merceron et al 2018). The anisotropy of the microwear texture (epLsar) measures the orientation concentration of surface roughness, which is expected to be more directional (higher epLsar) for leaf eating species, notably when their diet includes tough foliages and silica-bearing plants (Scott et al 2012;Merceron et al 2021). Finally, the textural fill volume (Tfv) is the result of an algorithm that fills a surface with square cuboids of different volumes.…”
Section: Multiscale Analysis Of the Dietary Nichementioning
confidence: 99%
“…2012; Merceron et al. 2021). Finally, the textural fill volume (Tfv) is the result of an algorithm that fills a surface with square cuboids of different volumes.…”
Section: Introductionmentioning
confidence: 99%