2016
DOI: 10.1016/j.earscirev.2016.02.003
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Quantitative biochronology of the Permian–Triassic boundary in South China based on conodont unitary associations

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Cited by 66 publications
(62 citation statements)
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“…3.1.3), we cancelled out the potential effect of over-representative data accumulation on the temporal trend of stochastic residual δ 13 C carb variability. Sampling effort might also have affected fossil collecting, thereby biasing conodont biozonation schemes, which heavily relies on the first-appearance datum of certain fossil species (Wang et al, 2014;Brosse et al, 2016). As such, it would be conceivable that longer-duration biozones could capture a more temporally variable marine DIC δ 13 C compared to shorter-duration biozones.…”
Section: Residual Carbon Isotope Variabilitymentioning
confidence: 99%
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“…3.1.3), we cancelled out the potential effect of over-representative data accumulation on the temporal trend of stochastic residual δ 13 C carb variability. Sampling effort might also have affected fossil collecting, thereby biasing conodont biozonation schemes, which heavily relies on the first-appearance datum of certain fossil species (Wang et al, 2014;Brosse et al, 2016). As such, it would be conceivable that longer-duration biozones could capture a more temporally variable marine DIC δ 13 C compared to shorter-duration biozones.…”
Section: Residual Carbon Isotope Variabilitymentioning
confidence: 99%
“…Through the application of the R package ReacTran (Soetaert and Meysman, 2012), a sediment grid 10 m thick with 20 000 layers of identical thicknesses was generated. The finite difference approach transforms the partial differentials into ordinary differentials which are subsequently integrated by a stiff solver routine vode (Brown and Hindmarsh, 1989) within the R package DeSolve (Soetaert et al, 2010). Boundary conditions were chosen to reflect Permian oceanic conditions based on the current state of research (Sect.…”
Section: Numerical Solutions and Parametersmentioning
confidence: 99%
“…However, in our opinion, the UAZ analysis presented by Brosse et al (2016) is based on unreliable taxonomic data sets with unjustified taxonomic re-assessments. No evidence shows that the UAZ approach improves the biozone biostratigraphy currently used to date the PTB.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…Keywords: Permian-Triassic boundary; Unitary Associations; conodonts; South China A C C E P T E D M A N U S C R I P T ACCEPTED MANUSCRIPT Brosse, Bucher and Goudemand (2016) have proposed the use of conodont Unitary Associations Zones (UAZs) to substantially modify the biostratigraphy of the Permian-Triassic transition and to redefine the chosen level of the Permian-Triassic boundary (PTB), because of a perceived weakness of conventional interval zones.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
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