Glow in the dark: Use of synchrotron mu XRF trace elemental mapping and multispectral macro-imaging on fossils from the Paris Biota (Bear Lake County, Idaho, USA)
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Titre | Glow in the dark: Use of synchrotron mu XRF trace elemental mapping and multispectral macro-imaging on fossils from the Paris Biota (Bear Lake County, Idaho, USA) |
Type de publication | Journal Article |
Year of Publication | 2019 |
Auteurs | Brayard A, Gueriau P, Thoury M, Escarguel G, Bylund KG, Fara E, Goudemand N, Jenks JF, Krumenacker L.J, Olivier N, Stephen DA, Thomazo C, Vennin E, Team PBiota |
Journal | GEOBIOS |
Volume | 54 |
Pagination | 71-79 |
Date Published | JUN |
Type of Article | Article |
ISSN | 0016-6995 |
Mots-clés | Early Spathian, Early Triassic, Multispectral macro-imaging, Paris Biota, Synchrotron mu XRF mapping |
Résumé | The end-Permian mass extinction is the largest global-scale event ever recorded; it also corresponds to the expansion of the Modern Evolutionary Fauna, which will lead to present-day ecosystems. The Early Triassic is thus a pivotal interval in the evolution of many marine groups. An exceptionally well-preserved early Spathian fossil assemblage, the Paris Biota, was recently discovered in southeastern Idaho, USA; it represents the earliest complex marine ecosystem known to date for the post-crisis aftermath. Here we use synchrotron p..XRF imaging to retrieve further anatomical, paleobiological and taphonomical data on some of the most intriguing fossils from the Paris Biota, such as contours of the central disc and the full length of arms in an ophiuroid specimen. We also show that multispectral macro-imaging is powerful to reveal or enhance the visualization of some specimens, particularly shrimps, that are barely perceptible under visible and UV lights. The complementary use of both techniques suggests that the actual richness and abundance of organisms in this exceptionally well-preserved Early Triassic ecosystem is likely to remain underestimated, and this situation may be even worse in other less well-preserved spatiotemporal contexts. (C) 2019 Elsevier Masson SAS. All rights reserved. |
DOI | 10.1016/j.geobios.2019.04.008 |