Griffin Chloe, Duller Robert A, Straub Kyle M
Department of Earth, Ocean and Ecological Sciences, University of Liverpool, 4 Brownlow Street, Liverpool L69 3GP, UK.
Department of Earth and Environmental Sciences, Tulane University, 6823 St. Charles Avenue, 202 Blessey Hall, New Orleans, LA 80118-5698, USA.
Sci Adv. 2023 Nov 3;9(44):eadi8046. doi: 10.1126/sciadv.adi8046.
Autogenic processes contribute noise to sediment transport systems that can degrade or mask externally derived environmental signals and hinder our ability to reconstruct past environmental signals from landscapes and strata. To explore this further, we measure efflux from a physical rice pile to ascertain the temporal structure of autogenic noise, and how this influences the degradation and detection of environmental signals. Our results reveal a tripartite temporal spectral structure segmented at two key autogenic time scales. The shorter autogenic time scale set limits on environmental signal degradation, while the longer autogenic time scale sets limits on environmental signal detection. This work establishes a framework that can be used to explore how autogenic processes interact with external environmental signals in field-scale systems to influence their detectability. We anticipate that the temporal structure and associated time scales identified will arise from autogenic processes in numerous sediment transport systems.
自生过程会给沉积物输运系统带来噪声，这些噪声会削弱或掩盖外部环境信号，阻碍我们从地貌和地层重建过去环境信号的能力。为了进一步探究这一点，我们测量了物理堆积的水稻堆的流出量，以确定自生噪声的时间结构，以及这如何影响环境信号的衰减和检测。我们的结果揭示了一个三方时间谱结构，在两个关键的自生时间尺度上被分割。较短的自生时间尺度对环境信号衰减设置了限制，而较长的自生时间尺度对环境信号检测设置了限制。这项工作建立了一个框架，可用于探索自生过程如何在野外尺度系统中与外部环境信号相互作用，从而影响其可检测性。我们预计，所确定的时间结构和相关时间尺度将出现在众多沉积物输运系统的自生过程中。
