2023
DOI: 10.1017/pab.2022.42
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A downcore increase in time averaging is the null expectation from the transit of death assemblages through a mixed layer

Abstract: Understanding how time averaging changes during burial is essential for using Holocene and Anthropocene cores to analyze ecosystem change, given the many ways in which time averaging affects biodiversity measures. Here, we use transition-rate matrices to explore how the extent of time averaging changes downcore as shells transit through a taphonomically complex mixed layer into permanently buried historical layers: this is a null model, without any temporal changes in rates of sedimentation or bioturbation, to… Show more

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Cited by 7 publications
(5 citation statements)
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“…Previous studies of time averaging in macrofaunal shelly assemblages also suggest that even if assemblages overlap in time by 50%, the older assemblage will only contribute 10% of the fossils in the resulting sampled assemblage due to the exponential taphonomic loss of the fossils (Olszewski, 1999), thus the preserved assemblage mostly retains individuals of similar age. We do not include this loss of older specimens in the simulations herein, thus, the DCA-1 values we obtain from the simulations likely depart further from the event value than they would in a natural sedimentary system-unless the age frequency distribution of subsurface assemblages are more symmetric, as suggested by recent modeling work by Tomašových et al (2023), and assemblage mixing would be greater than in Olszewski (1999), as in our model.…”
Section: Simulations Of Mixed Assemblagesmentioning
confidence: 85%
“…Previous studies of time averaging in macrofaunal shelly assemblages also suggest that even if assemblages overlap in time by 50%, the older assemblage will only contribute 10% of the fossils in the resulting sampled assemblage due to the exponential taphonomic loss of the fossils (Olszewski, 1999), thus the preserved assemblage mostly retains individuals of similar age. We do not include this loss of older specimens in the simulations herein, thus, the DCA-1 values we obtain from the simulations likely depart further from the event value than they would in a natural sedimentary system-unless the age frequency distribution of subsurface assemblages are more symmetric, as suggested by recent modeling work by Tomašových et al (2023), and assemblage mixing would be greater than in Olszewski (1999), as in our model.…”
Section: Simulations Of Mixed Assemblagesmentioning
confidence: 85%
“…This creates not only clusters of first and last occurrences in marine settings, but also abrupt changes in community composition and attributes of communities (such as richness, evenness), as well as abrupt changes in the degree of time averaging and taphonomic modification, as those are also correlated with marine ecological gradients. Such clusters can also be modified over centimeters to decimeters by sediment mixing through bioturbation, as can fossil occurrences in general (Tomašových et al 2023b). In addition, marine deposits contain intervals of progressive change in fossil occurrences that reflect longer-term changes in water depth that are entirely predictable from sequence-stratigraphic architecture.…”
Section: Marine Versus Nonmarine Systemsmentioning
confidence: 99%
“…Accordingly, estimating the degree of time-averaging and the shape of the post-mortem age frequency distribution of skeletal elements in a given layer requires age-dating many biogenic components; and this approach is time- and resource-intensive (Kosnik et al 2013, 2015). Age-frequency distributions of shells in surface carbonate and siliciclastic environments are distinctly right-skewed (e.g., Kosnik et al 2007; Kidwell 2013), while downcore increase in time averaging is typically associated with a shift towards more symmetrical age frequency distributions (Olszewski and Kaufman 2015; Tomasovych et al 2023b). To avoid premature conclusions on potential anthropogenic impacts, extensive age-dating is also necessary to understand the population dynamics of those species that are abundant and dead but absent in the living assemblage (Albano et al 2016).…”
Section: Historical Layers Are Important For Baseline Determinationsmentioning
confidence: 99%