Possible link between Earth’s rotation rate and oxygenation.
Klatt, Judith M. ORCID: https://orcid.org/0000-0002-0195-6333, Chennu, Arjun ORCID: https://orcid.org/0000-0002-0389-5589, Arbic, Brian K. ORCID: https://orcid.org/0000-0002-7969-2294, Biddanda, Bopaiah ORCID: https://orcid.org/0000-0002-9642-3379 and Dick, Gregory J. ORCID: https://orcid.org/0000-0001-7666-6288 (2021) Possible link between Earth’s rotation rate and oxygenation. Nature Geoscience . DOI https://doi.org/10.1038/s41561-021-00784-3.
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Abstract
The biotic and abiotic controls on major shifts in atmospheric oxygen and the persistence of low-oxygen periods over a majority of Earth’s history remain under debate. Explanations of Earth’s stepwise pattern of oxygenation have mostly neglected the effect of changing diel illumination dynamics linked to daylength, which has increased through geological time due to Earth’s rotational deceleration caused by tidal friction. Here we used microsensor measurements and dynamic modelling of interfacial solute fluxes in cyanobacterial mats to investigate the effect of changing daylength on Precambrian benthic ecosystems. Simulated increases in daylength across Earth’s historical range boosted the diel benthic oxygen export, even when the gross photosynthetic production remained constant. This fundamental relationship between net productivity and daylength emerges from the interaction of diffusive mass transfer and diel illumination dynamics, and is amplified by metabolic regulation and microbial behaviour. We found that the resultant daylength-driven surplus organic carbon burial could have shaped the increase in atmospheric oxygen that occurred during the Great and Neoproterozoic Oxidation Events. Our suggested mechanism, which
links the coinciding increases in daylength and atmospheric oxygen via enhanced net productivity, reveals a possible contribution of planetary mechanics to the evolution of Earth’s biology and geochemistry.
Document Type: | Article |
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Programme Area: | PA2 |
Research affiliation: | Integrated Modelling > Data Science and Technology |
Refereed: | Yes |
Open Access Journal?: | No |
DOI: | https://doi.org/10.1038/s41561-021-00784-3 |
ISSN: | 1752-0894 |
Date Deposited: | 04 Aug 2021 11:52 |
Last Modified: | 26 Mar 2024 13:30 |
URI: | http://cris.leibniz-zmt.de/id/eprint/4647 |
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