2024 CSDMS meeting-081
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Browse abstracts
Exploring Bias in Detrital Zircon Provenance Records Imparted by Landscape Evolution
Employing the Concentration Tracker component, we systematically manipulate erodibility and zircon fertility within synthetic landscapes to simulate sediment provenance evolution and incorporate zircon concentration into a statistical analysis comparing a null hypothesis of an area-dependent contribution to fractions dependent on mass and zircon abundance. While these scenarios do not necessarily reflect “real” landscapes, we use these simple experiments to understand basic controls on the magnitude of potential biases imparted to the simulated detrital zircon U-Pb datasets.
By exploring these potential biases, we provide valuable insights into the uncertainties inherent in provenance analysis and thus their utility and fidelity in reconstructing histories of past landscape evolution. Ultimately, this research contributes to refining the methodologies used in detrital zircon provenance analysis and enriches our understanding of the processes shaping sedimentary records.