Duration and Intensity of End‐Permian Marine Anoxia. (4th January 2022)
- Record Type:
- Journal Article
- Title:
- Duration and Intensity of End‐Permian Marine Anoxia. (4th January 2022)
- Main Title:
- Duration and Intensity of End‐Permian Marine Anoxia
- Authors:
- Pimentel‐Galvan, Michael
Lau, Kimberly V.
Maher, Katharine
Mukerji, Tapan
Lehrmann, Daniel J.
Altiner, Demir
Payne, Jonathan L. - Abstract:
- Abstract: Ocean anoxia was an important kill mechanism in the end‐Permian mass extinction and uranium isotope data are among the most powerful tools for quantifying the global extent and duration of ocean deoxygenation due to the dependence of uranium isotope fractionation on bottom‐water redox conditions. Although coherent stratigraphic variation in uranium isotope ratios (δ 238 U) and uranium concentrations ([U]) indicative of prolonged deoxygenation beginning coincident with the extinction is well established, the precise extent of anoxia and associated uncertainty have yet to be quantified. Uncertainty arises from both noise in the data and imprecise knowledge of key parameters within the uranium cycle. In this study, we use the Monte Carlo method to explore a range of scenarios and their implications for the uranium cycle across the Permian‐Triassic boundary and through the first 1.7 million years of the Triassic. We then compare model predictions against measured data using principal component analysis to identify model runs and associated parameter values most compatible with trends in the observed data. The best‐fitting models indicate a pronounced increase in the extent of seafloor anoxia across the Permian/Triassic transition, reaching 18% of the seafloor (95% CI: [11%, 47%]), lasting anywhere from 20 kyr to 1.2 Myr. There is an inverse relationship between the extent and duration of anoxia in the set of best‐fitting models. This initial pulse of pronounced anoxiaAbstract: Ocean anoxia was an important kill mechanism in the end‐Permian mass extinction and uranium isotope data are among the most powerful tools for quantifying the global extent and duration of ocean deoxygenation due to the dependence of uranium isotope fractionation on bottom‐water redox conditions. Although coherent stratigraphic variation in uranium isotope ratios (δ 238 U) and uranium concentrations ([U]) indicative of prolonged deoxygenation beginning coincident with the extinction is well established, the precise extent of anoxia and associated uncertainty have yet to be quantified. Uncertainty arises from both noise in the data and imprecise knowledge of key parameters within the uranium cycle. In this study, we use the Monte Carlo method to explore a range of scenarios and their implications for the uranium cycle across the Permian‐Triassic boundary and through the first 1.7 million years of the Triassic. We then compare model predictions against measured data using principal component analysis to identify model runs and associated parameter values most compatible with trends in the observed data. The best‐fitting models indicate a pronounced increase in the extent of seafloor anoxia across the Permian/Triassic transition, reaching 18% of the seafloor (95% CI: [11%, 47%]), lasting anywhere from 20 kyr to 1.2 Myr. There is an inverse relationship between the extent and duration of anoxia in the set of best‐fitting models. This initial pulse of pronounced anoxia is followed by a prolonged aftermath, which continues through the remainder of the study interval, of less extensive, yet still expanded, anoxia covering 7.8% of the seafloor (95% CI: [1.6%, 48.9%]). Both expanded and protracted anoxia are required to fit existing data, with no indication of full re‐oxygenation during the study interval. Plain Language Summary: Uranium content and isotope composition in marine limestone provide strong evidence for a rapid reduction of oxygen availability in seawater coincident with the end‐Permian mass extinction and lasting for hundreds of thousands of years. Visual comparison to forward model output for the uranium cycle has previously demonstrated that expanded marine anoxia is the best explanation for trends in the data but statistical best estimates of the extent and duration of anoxia as well as the uncertainty in those values have yet to be developed. Here, Monte Carlo simulations are used to predict uranium concentrations and isotope compositions for marine limestones under a wide range of scenarios. These simulations are then compared to published uranium data to identify the model runs that best fit the observed data. The results favor simulations with either short (∼25 kyr), intense intervals of anoxia (∼20% of the seafloor), or longer intervals (∼1 Myr) with less extensive anoxia (∼10%). Both situations are followed by a prolonged period of still‐expanded but less extensive anoxia that vary depending on the intensity and duration of the initial perturbation (∼1%–48%). Key Points: Uranium cycle models are run using the Monte Carlo method and compared to existing data to quantify the best‐fitting history of ocean anoxia and its associated uncertainty A temporary increase in anoxia to 18% ± 4% of the seafloor followed by a million‐year‐long episode of 7% ± 4% seafloor anoxia explain trends within uranium isotope and concentration data Seafloor anoxia persisted at levels far above modern for at least 1.7 Mya after the end‐Permian extinction event … (more)
- Is Part Of:
- Geochemistry, geophysics, geosystems. Volume 23:Number 1(2022)
- Journal:
- Geochemistry, geophysics, geosystems
- Issue:
- Volume 23:Number 1(2022)
- Issue Display:
- Volume 23, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 23
- Issue:
- 1
- Issue Sort Value:
- 2022-0023-0001-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2022-01-04
- Subjects:
- anoxia -- Monte Carlo -- uranium isotopes -- uranium concentration -- inverse models -- principal component analysis -- uncertainty quantification
Geochemistry -- Periodicals
Geophysics -- Periodicals
Earth sciences -- Periodicals
550.5 - Journal URLs:
- http://g-cubed.org/index.html?ContentPage=main.shtml ↗
http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1525-2027 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1029/2021GC010130 ↗
- Languages:
- English
- ISSNs:
- 1525-2027
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4234.930000
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