The dynamic physical interval where postmortem alteration of biological remains takes place is widely known as the taphonomically active zone (TAZ). In benthic systems, the TAZ is conventionally considered to be delimited by an upper boundary at the sediment-water interface and a lower boundary corresponding roughly to the deepest sediment layer influenced by bioturbation. However, this definition was developed in the context of marine or continental environments inhabited by benthic fauna and disregards the modifications that pelagic remains undergo while sinking through the water column. Indeed, long before the skeletal remains of planktonic organisms reach the sediment-water interface, they may suffer significant taphonomic damage, primarily due to dissolution. The magnitude of dissolution depends on the composition of the skeletal remains, seawater properties, and the nature and intensity of biological processes in the water column. In open ocean environments, siliceous remains (e.g., diatoms, radiolarians) suffer enhanced dissolution in the upper water column, where seawater is undersaturated in silica, whereas pelagic carbonate remains (e.g., foraminifers, coccolithophores) experience higher dissolution below the lysocline (the depth where there is a sharp increase in dissolution rate) until they reach the carbonate compensation depth (CCD), where dissolution is complete. Therefore, we argue that the TAZ concept for pelagic organisms should be extended to include the water column through which they settle after death. Furthermore, the extent of taphonomic damage of pelagic microfossils can be used as a potential proxy for past changes in seawater chemistry and circulation related to oceanographic conditions. © 2018, SEPM (Society for Sedimentary Geology).

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The R codes provide Bayesian model fitting procedures for AAR-\^{}14\^{}C datasets. These codes are updated versions of the analytical scripts published by Allen et al. (2013). \\ Based on the ages derived from the models fitted, it is possible then to account for the time-averaging (temporal resolution of the fossil record). The time-averaging estimates are based on empirical posterior distributions, accounting for dating uncertainty, as in Ritter et al. (2017).\İn addition, the R codes implements the figures produced both the cited dissertation and its derived manuscripts, like the best models fitted, age-frequency distribuitions (Histograms), its relations with sea-level oscilation in the Southern Brazilian shelf etc.