GECkO: Global Events impacting COnodont evolution

Ferretti, Annalisa; Bancroft, Alyssa M.; Repetski, John E.

doi:10.1016/j.palaeo.2020.109677

Cited by 6 publications

(2 citation statements)

References 66 publications

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“…In addition, it could be argued that the dynamics of biodiversity should be subdivided into these smaller (substage) time intervals, potentially extending the scaling range to shorter timescales (≈1 Myr or less). Important boundaries that modified macroevolutionary dynamics at global scales can also be found at period and subperiod boundaries: apparently the appearance of calcifying plankton at the beginning of the Jurassic (or so called “post-Conodontozoic”; Ferretti et al 2020) should have had a significant effect in stabilizing hyperthermal events and thus decreasing the volatility of biospheric evolution (Wignall 2015; Eichenseer et al 2019). In addition, presumably the appearance, global spread, and deep impact on the climate of terrestrial plants in the Silurian is highly significant (Lenton et al 2016).…”

Section: Discussionmentioning

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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Section: Discussionmentioning

confidence: 99%

The Fractional MacroEvolution Model: a simple quantitative scaling macroevolution model

Lovejoy,

Spiridonov

2024

Paleobiology

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“…Conodont elements are highly valuable and extensively applied tools in biostratigraphy (Ferretti et al, 2020). Their advantages in stratigraphy stem from their widespread occurrence, easy acquisition, efficient extraction methods, widespread distribution, and high rate of evolutionary change.…”

Section: To Reconcile Anagenesis and Biostratigraphymentioning

confidence: 99%

Anagenetic evolution and peramorphosis of a latest Devonian conodont from Holy Cross Mountain (Poland)

Świś

2023

J. Micropalaeontol.

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Abstract. I explored the fossil record of the Dasbergina marburgensis → Dasbergina trigonica lineage in Kowala, situated in the Holy Cross Mountains of central Poland. Through biometrical measurements of the platform P1 element, I traced the trajectory of anagenetic evolution. The collected data reveal a gradual shift in the morphology of elements, encompassing the development of branches, a change in the platform line, and transformations of the basal cavity. An interesting aspect lies in the ontogeny evolution, which I studied using rhythmic increments corresponding to potential days of the animals lifespan. Notably, the organogenesis of branches, calibrated based on ontogeny, indicates that these conodonts underwent a process of peramorphosis. Furthermore, this study introduces an alternative approach for age correlation during the latest Famennian period and perspectives on the evolutionary history of Dasbergina.

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Zooming in REE and Other Trace Elements on Conodonts: Does Taxonomy Guide Diagenesis?

et al. 2021

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GECkO: Global Events impacting COnodont evolution

Cited by 6 publications

References 66 publications

The Fractional MacroEvolution Model: a simple quantitative scaling macroevolution model

The Fractional MacroEvolution Model: a simple quantitative scaling macroevolution model

Anagenetic evolution and peramorphosis of a latest Devonian conodont from Holy Cross Mountain (Poland)

Zooming in REE and Other Trace Elements on Conodonts: Does Taxonomy Guide Diagenesis?

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