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Quantitative comparison of geological data and model simulations constrains early Cambrian geography and climate

Marine ecosystems with a diverse range of animal groups became established during the early Cambrian (~541 to ~509 Ma). However, Earth’s environmental parameters and palaeogeography in this interval of major macro-evolutionary change remain poorly constrained. Here, we test contrasting hypotheses of...

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Autores principales: Wong Hearing, Thomas W., Pohl, Alexandre, Williams, Mark, Donnadieu, Yannick, Harvey, Thomas H. P., Scotese, Christopher R., Sepulchre, Pierre, Franc, Alain, Vandenbroucke, Thijs R. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222365/
https://www.ncbi.nlm.nih.gov/pubmed/34162853
http://dx.doi.org/10.1038/s41467-021-24141-5
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author Wong Hearing, Thomas W.
Pohl, Alexandre
Williams, Mark
Donnadieu, Yannick
Harvey, Thomas H. P.
Scotese, Christopher R.
Sepulchre, Pierre
Franc, Alain
Vandenbroucke, Thijs R. A.
author_facet Wong Hearing, Thomas W.
Pohl, Alexandre
Williams, Mark
Donnadieu, Yannick
Harvey, Thomas H. P.
Scotese, Christopher R.
Sepulchre, Pierre
Franc, Alain
Vandenbroucke, Thijs R. A.
author_sort Wong Hearing, Thomas W.
collection PubMed
description Marine ecosystems with a diverse range of animal groups became established during the early Cambrian (~541 to ~509 Ma). However, Earth’s environmental parameters and palaeogeography in this interval of major macro-evolutionary change remain poorly constrained. Here, we test contrasting hypotheses of continental configuration and climate that have profound implications for interpreting Cambrian environmental proxies. We integrate general circulation models and geological observations to test three variants of the ‘Antarctocentric’ paradigm, with a southern polar continent, and an ‘equatorial’ configuration that lacks polar continents. This quantitative framework can be applied to other deep-time intervals when environmental proxy data are scarce. Our results show that the Antarctocentric palaeogeographic paradigm can reconcile geological data and simulated Cambrian climate. Our analyses indicate a greenhouse climate during the Cambrian animal radiation, with mean annual sea-surface temperatures between ~9 °C to ~19 °C and ~30 °C to ~38 °C for polar and tropical palaeolatitudes, respectively.
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spelling pubmed-82223652021-07-09 Quantitative comparison of geological data and model simulations constrains early Cambrian geography and climate Wong Hearing, Thomas W. Pohl, Alexandre Williams, Mark Donnadieu, Yannick Harvey, Thomas H. P. Scotese, Christopher R. Sepulchre, Pierre Franc, Alain Vandenbroucke, Thijs R. A. Nat Commun Article Marine ecosystems with a diverse range of animal groups became established during the early Cambrian (~541 to ~509 Ma). However, Earth’s environmental parameters and palaeogeography in this interval of major macro-evolutionary change remain poorly constrained. Here, we test contrasting hypotheses of continental configuration and climate that have profound implications for interpreting Cambrian environmental proxies. We integrate general circulation models and geological observations to test three variants of the ‘Antarctocentric’ paradigm, with a southern polar continent, and an ‘equatorial’ configuration that lacks polar continents. This quantitative framework can be applied to other deep-time intervals when environmental proxy data are scarce. Our results show that the Antarctocentric palaeogeographic paradigm can reconcile geological data and simulated Cambrian climate. Our analyses indicate a greenhouse climate during the Cambrian animal radiation, with mean annual sea-surface temperatures between ~9 °C to ~19 °C and ~30 °C to ~38 °C for polar and tropical palaeolatitudes, respectively. Nature Publishing Group UK 2021-06-23 /pmc/articles/PMC8222365/ /pubmed/34162853 http://dx.doi.org/10.1038/s41467-021-24141-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Wong Hearing, Thomas W.
Pohl, Alexandre
Williams, Mark
Donnadieu, Yannick
Harvey, Thomas H. P.
Scotese, Christopher R.
Sepulchre, Pierre
Franc, Alain
Vandenbroucke, Thijs R. A.
Quantitative comparison of geological data and model simulations constrains early Cambrian geography and climate
title Quantitative comparison of geological data and model simulations constrains early Cambrian geography and climate
title_full Quantitative comparison of geological data and model simulations constrains early Cambrian geography and climate
title_fullStr Quantitative comparison of geological data and model simulations constrains early Cambrian geography and climate
title_full_unstemmed Quantitative comparison of geological data and model simulations constrains early Cambrian geography and climate
title_short Quantitative comparison of geological data and model simulations constrains early Cambrian geography and climate
title_sort quantitative comparison of geological data and model simulations constrains early cambrian geography and climate
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222365/
https://www.ncbi.nlm.nih.gov/pubmed/34162853
http://dx.doi.org/10.1038/s41467-021-24141-5
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