Model based Paleozoic atmospheric oxygen estimates: a revisit to GEOCARBSULF

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ID: 304979
2018
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Abstract
Geological redox proxies increasingly point towards low atmospheric oxygen concentrations during the early Paleozoic Era, with a subsequent protracted rise towards present-day levels. However, these proxies currently only provide qualitative estimates of atmospheric O2 levels. Global biogeochemical models, in contrast, are commonly employed to generate quantitative estimates for atmospheric O2 levels through Earth9s history. Estimates for Paleozoic pO2 generated by GEOCARBSULF, one of the most widely implemented carbon and sulfur cycle models, have historically suggested high atmospheric O2 levels throughout the Paleozoic, in direct contradiction to competing models. In this study, we evaluate whether GEOCARBSULF can predict relatively low Paleozoic O2 levels. We first update GEOCARBSULF by adopting the recent compilation of the δ13C value of marine buried carbonate and replacing the old formulation of the sulfur isotope fractionation factor with empirical sulfur isotope records. Following this we construct various O2 evolution scenarios (with low O2 levels in the early Paleozoic) and examine whether GEOCARBSULF can reproduce these scenarios by varying the weathering/degassing fluxes of carbon and sulfur, or carbonate δ13C. We show that GEOCARBSULF can, in fact, maintain low-O2 (even 1–5% atm) levels through the early Paleozoic by only varying the carbonate δ13C within 2 standard deviation (SD) bounds permitted by the geological record. In addition, it can generate a middle–late Paleozoic rise in O2 concentration, coincident with the diversification of land plants. However, we also argue that tracking atmospheric O2 levels with GEOCARBSULF is highly dependent on carbonate carbon isotope evolution, and more accurate predictions will come from an improved C isotope record.
Reference Key
openalex_W2884013658 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Shuang Zhang, Noah J. Planavsky, Alexander J. Krause, Edward W. Bolton, Benjamin Mills
Journal american journal of science
Year 2018
DOI
10.2475/05.2018.05
URL
Keywords Keywords not found

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