Bedrock geological map predictions for Phanerozoic fossil occurrences

Ye, Shan; Peters, Shanan E.

doi:10.1017/pab.2022.46

Cited by 7 publications

(2 citation statements)

References 86 publications

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“…A principal challenge to interpreting the biological meaning of this archive is coming to terms with the temporal and geographic inhomogeneities in the data. Despite substantial efforts by an ever-growing number of paleontologists, large portions of the published fossil record have not been entered, and the PBDB remains an uneven sampling of the known fossil record (Ye and Peters 2023). At large scales (global, Phanerozoic), the hope is that the sampling is even enough that patterns are biologically meaningful, but at smaller geographic and shorter temporal scales, uneven sampling of the known record becomes more of a concern.…”

Section: Large-scale Structure Of the Fossil Recordmentioning

confidence: 99%

Stratigraphic paleobiology

Holland,

Patzkowsky,

Loughney

2024

Paleobiology

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Stratigraphic paleobiology uses a modern understanding of the construction of the stratigraphic record—from beds to depositional sequences to sedimentary basins—to interpret patterns and guide sampling strategies in the fossil record. Over the past 25 years, its principles have been established primarily through forward numerical modeling, originally in shallow-marine systems and more recently in nonmarine systems. Predictions of these models have been tested through outcrop-scale and basin-scale field studies, which have also revealed new insights. At multi-basin and global scales, understanding the joint development of the biotic and sedimentary records has come largely from macrostratigraphy, the analysis of gap-bound packages of sedimentary rock. Here, we present recent advances in six major areas of stratigraphic paleobiology, including critical tests in the Po Plain of Italy, mass extinctions and recoveries, contrasts of shallow-marine and nonmarine systems, the interrelationships of habitats and stratigraphic architecture, large-scale stratigraphic architecture, and the assembly of regional ecosystems. We highlight the potential for future research that applies stratigraphic paleobiological concepts to studies of climate change, geochemistry, phylogenetics, and the large-scale structure of the fossil record. We conclude with the need for more stratigraphic thinking in paleobiology.

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Section: Large-scale Structure Of the Fossil Recordmentioning

confidence: 99%

Stratigraphic paleobiology

Holland,

Patzkowsky,

Loughney

2024

Paleobiology

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“…Therefore, in this paper, we only discuss the more complete and sample-standardized paleobiological time series derived from PBDB data. Currently, the PBDB data are the best source for multi-lineage global-scale analysis of evolutionary patterns, despite the presence of possible distortions related to the uneven spatial sampling, due to objective geological heterogeneities of the fossil record and various historical and socioeconomic factors that significantly impacted the study of ancient life (Raja et al 2022; Ye and Peters 2023). Future work toward a more even representation of the global-scale data will certainly improve the accuracy of diversity estimates; this in itself would be an interesting test of the model.…”

Section: Introductionmentioning

confidence: 99%

The Fractional MacroEvolution Model: a simple quantitative scaling macroevolution model

Lovejoy,

Spiridonov

2024

Paleobiology

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Scaling fluctuation analyses of marine animal diversity and extinction and origination rates based on the Paleobiology Database occurrence data have opened new perspectives on macroevolution, supporting the hypothesis that the environment (climate proxies) and life (extinction and origination rates) are scaling over the “megaclimate” biogeological regime (from ≈1 Myr to at least 400 Myr). In the emerging picture, biodiversity is a scaling “crossover” phenomenon being dominated by the environment at short timescales and by life at long timescales with a crossover at ≈40 Myr. These findings provide the empirical basis for constructing the Fractional MacroEvolution Model (FMEM), a simple stochastic model combining destabilizing and stabilizing tendencies in macroevolutionary dynamics, driven by two scaling processes: temperature and turnover rates. Macroevolution models are typically deterministic (albeit sometimes perturbed by random noises) and are based on integer-ordered differential equations. In contrast, the FMEM is stochastic and based on fractional-ordered equations. Stochastic models are natural for systems with large numbers of degrees of freedom, and fractional equations naturally give rise to scaling processes. The basic FMEM drivers are fractional Brownian motions (temperature, T) and fractional Gaussian noises (turnover rates, E+) and the responses (solutions), are fractionally integrated fractional relaxation noises (diversity [D], extinction [E], origination [O], and E− = O − E). We discuss the impulse response (itself representing the model response to a bolide impact) and derive the model's full statistical properties. By numerically solving the model, we verified the mathematical analysis and compared both uniformly and irregularly sampled model outputs with paleobiology series.

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Low Resource Chinese Geological Text Named Entity Recognition Based on Prompt Learning

He,

Ma,

et al. 2024

J. Earth Sci.

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Bedrock geological map predictions for Phanerozoic fossil occurrences

Cited by 7 publications

References 86 publications

Stratigraphic paleobiology

Stratigraphic paleobiology

The Fractional MacroEvolution Model: a simple quantitative scaling macroevolution model

Low Resource Chinese Geological Text Named Entity Recognition Based on Prompt Learning

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